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The Future of Warehousing

warehousing

The Future of Warehousing

In September of 2018, Forbes Insights published a survey of 400 senior haulage executives. They reported that more than two-thirds of the respondents believed seismic changes had to occur within the logistics sector, otherwise its warehouses would risk not being able to facilitate the growing demand for freight delivery.

Three years and a global pandemic later, and demand for warehouses is higher than ever. So how has the industry endured this tumultuous period? The simple answer is greater investment in technology! Innovators within warehousing have continued to incorporate intuitive software into their models to cut costs, speed up delivery time and improve efficiency.

With this trend of incorporating technologies into the haulage sector only set to continue, the mind boggles at what warehouses could be capable of in the future. To that end let’s unravel the warehouse innovations set to be introduced in the coming years and what the biggest names are doing today to ensure they won’t be left behind.

Warehousing the Amazon way

We would be remiss not to mention Amazon in a discussion about the future of warehousing. After all, their network accounts for over 150 million square feet of warehouse space across the globe.

The company has, since its emergence in the ‘90s, being trailblazers for cutting-edge warehousing models. In the mid-2000s they popularized fulfillment centers whereby sellers could leverage the vast network of warehouses Amazon had to store, pack and ship their customer’s orders for the same standardized fee – no matter where an item was being sent.

Since then, many warehouses have attempted to adopt something similar to the Fulfilment By Amazon (FBA) program and offer to not only store their client’s products but package and deliver them as well. However, none have been able to even rival the FBA. Namely because of one very appealing benefit that FBA offers sellers: Prime eligibility.

This legacy of advancement was further solidified by the recent announcement that Amazon was opening its first robotics fulfillment center in Alberta, Canada. The automated warehouse, slated to open in 2022, is the result of almost a decade-long investment.

In 2012, Amazon purchased robotics company Kiva Systems for $775 million which gave them ownership of a new fleet of mobile robots which were capable of carrying shelves of products from worker to worker and intuitively navigate a warehouse according to barcodes on the floor. Like the FBA program, it’s expected that many warehouses will use Amazon as inspiration and invest in some form of robotics to aid with automation.

Automation for all

As Amazon recognized, automation is the silver bullet when it comes to boosting a warehouse’s operations. Having a workforce that never tires, runs 24/7, and provides a near-perfect output is invaluable. It’s likely that every stage of warehouse infrastructures will have some form of automation in the next few years if they haven’t already.

Drones are expected to have a significant role in the future of warehousing, specifically in aiding inventory control. MIT conducted research in 2017 where they programmed drones to fly above a warehouse floor to read RFID tags from more than ten meters away. The study was a success with the drones only having a 19cm margin of error.

There are currently some safety concerns delaying the immediate integration of drones in warehousing but the continual developments of the technology suggest that we’re not too far away from seeing them introduced.

Automated conveyors and sortation systems have been staples of warehouse infrastructures for decades, now experts are predicting that a third system will become part of every warehouse’s arsenal. The ARC advisory group’s warehouse automation and AS/RS research forecasts that the shuttle systems market is going to grow exponentially.

For context, a warehouse shuttle system is a mobile cart that transports items in pallet racking. It replaces the need for an operative to use a forklift to retrieve stock totes, trays, or cases in a storage buffer. The system, which is also being touted as an essential by various trade groups, provides warehouses with high throughput, scalability, and storage density.

Considering that repetitive tasks can be mechanized fairly easily, there’s plenty of reasons to be excited for what other types of automation could be introduced into warehouse infrastructures and the benefits that they will no doubt yield.

Big Data & AI

Big data and machine learning have revolutionized many industries since their proliferation in the early 2000s and it’s expected to do the same to warehousing.

Order and inventory accuracy, as well as fulfillment time, are all Key Performance Indicators (KPIs) that could be improved through the use of Artificial Intelligence (AI). AI can also evaluate more general drivers that may affect a warehouse’s overall performance including safety, facility damages, and employee productivity. Using this aggregated data AI is able to start automating tasks, collecting the necessary information, and making decisions on its own.

Some industry leaders have already made the transition and began using AI. For example, Alibaba recently fully automated its stocking and shipping warehouses in China by using robots controlled by a sophisticated machine learning algorithm.

Further down the line, many experts believe that more advanced metrics will come into play as well, such as predictive analytics which will give operators a helping hand when it comes to forecasting and drive smarter decision making in the warehouse’s overall operations. Predictive analytics will help with evaluating demand for warehouse space, planning inventory location, responding to supply chain issues, and reducing risks associated with more complex supplier networks.

It’s clear to see that the prospects for warehousing in the near future are bright with plenty of exciting technology currently in use and on the horizon. The industry’s willingness to constantly evolve is truly admirable, with interest in big data, automation, innovative models, and AI at an all-time high. We should all be very excited about the future of warehousing.

IoT

How Will Adoption of Internet of Things (IoT) Facilitate Logistics Sector?

The expansion of the e-commerce sector, which will account for a 17% share in global retail sales by 2021, has increased the incorporation of the internet of things (IoT) technology for enhancing the logistics ecosystem. The booming e-commerce industry, on account of the changing consumer behavior, requires fast and free shipping with competitive product pricing. To keep up with this changing customer behavior, various companies have started adopting IoT solutions in their logistics activities to manage a sudden order rise, time-sensitive needs of customers, and inconsistent shipping.

The adoption of IoT solutions improves the efficiency of logistics operations, as they help in tracking the inventory and warehousing, monitoring the driver activity, allowing for smart location management, and updating the delivery status. The benefits offered by IoT technology are imperative for the success of any logistics company. This realization will, therefore, increase the IoT in logistics market size from $34,504.8 million in 2019 to $100,984.5 million by 2030. According to P&S Intelligence, the market will advance at a CAGR of 13.2% during 2020–2030.

Additionally, the rapid digitization in the logistics sector is propelling the demand for IoT solutions. Logistics and trucking companies across the globe are using data analytics, telematics, self-driving, and robotic technologies to attain operational efficiency and combat issues such as the shortage of truckers. Besides, the integration of robotics in supply chain management, data analytics, warehousing, and machine learning has helped in solving the issue of labor shortage and enhancing technical efficiency.

Furthermore, the developments in the 5G network technology will fuel the demand for IoT solutions from the logistics industry. The 5G technology will improve the experience of drivers by providing better insurance coverage for vehicles and real-time traffic updates. Moreover, this cellular network technology allows logistics companies to cut down the latency, thus ensuring higher efficiency in operations. Apart from this, the logistics industry also uses local area network (LAN) technology-based IoT solutions to improve its operations.

In the past, the North American logistics sector displayed the highest adoption of IoT solutions, on account of the rapid digital transformation in the region. Moreover, the emergence of new IT startups due to the surging internet penetration and expanding scope of e-commerce has facilitated the adoption of IoT technology in the logistics industry. Besides, a surge in advertising and marketing activities pertaining to robotics, near-field communication (NFC), low-power wide-area network (LPWAN), artificial intelligence (AI), and radio-frequency identification (RFID) technologies and an increase in the efforts to educate and train professionals in these technologies widen the scope for companies offering IoT solutions for regional logistics companies.

This will be because of the fact that blockchain for supply chain management has the ability to replace conventional processes as it uses ledger technology that makes logistics operations sustainable and ethical. Geographically, the market will demonstrate the fastest growth in Asia-Pacific in the coming years, as per the estimates of the market research company, P&S Intelligence. Rapid technological advancements in the logistics industry are the major factor fueling the expansion of the IoT in the logistics market in this region.

Source: P&S Intelligence

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Rahul has around 2+ years of experience in market research and consulting services for the automotive domain. He holds varied experience in market sizing and forecasting with varied models, competition landscape, consumer behavior analysis, opportunity analysis, product/company benchmarking, data mining, and BOM costing. He has successfully delivered multiple projects in market entry and share analysis and others.

Some of the projects delivered by him include Artificial Intelligence in Transportation Market, Global Electric vehicle and Charging Infrastructure Market, and Mobility-as-a-Service Market.

IoT

4 Applications For IoT in the Manufacturing Industry

Not too long ago, it seemed impossible for everyday objects and machines to carry out specific tasks unaided by a human controller. The mere thought of that possibility was a pipe dream to some people and represented a terrifying future to others. Today, IoT (Internet of Things) is as much of a reality as humans and other organic life forms.

Devices are much more intelligent than they used to be a few decades ago. Embedded with chips and sensors, they can make autonomous decisions. They may not handle some tasks that require higher levels of intelligence and emotional quotient. However, in many industries, IoT is proving to be the future of work.

The manufacturing industry is one that has benefited immensely from IoT. As a result, it is the biggest IoT market. In 2016, the manufacturing industry spent 100 billion USD more than its closest rival, the transportation industry, on IoT. How has all of this spending on IoT translated to its implementation? This post will discuss industrial IoT solutions in manufacturing.

Digital Twins

As efficient as some systems and machines are, one slight issue besets them – their form. Physical devices are usually limited to their current physical locations. In IoT manufacturing, this may hamper efficiency, so the digital twins’ concept had to be implemented.

A digital twin is a digital copy of a device or process. It helps production plants and businesses monitor how a concept will work in everyday use without spending a lot of money on trials and on-field testing. These businesses can then improve efficiency using results from this approach.

With this IoT idea, managers can predict how a device will operate over time, how wear and tear will affect it, how long it will stay usable, etc. They can use the knowledge gained to tweak their systems and devices to perform better. They can also know which machines to recall and when to do so.

Asset Management

Asset Management, also known as asset tracking, is a system that allows a business to gather information about its tangible assets, log them and use them to monitor the assets’ statuses. This type of program is more advanced, coming from the more complex structure category, like ones, created for managing businesses like essay writing service, or logistics organizations.

This IoT-driven approach monitors both fixed assets and mobile ones. However, because mobile assets are at more significant risk of theft and loss, they tend to be tracked more often. Assets can be tracked using GPS (for real-time tracking), barcodes that update the system, and Radio-Frequency Identification.

There are several benefits of asset management to manufacturing plants. The most obvious one is that this system has helped factories save a lot of money. For every device that the tracking hardware and software manages, it creates a log. The system then alerts managers when something goes wrong, giving them a head start at reversing the situation or stopping it at the very least.

It does not only serve protective purposes, but it also helps with the prevention of loss. Knowing that assets are being tracked in real-time will deter thieves from trying to take them. This preventive advantage is incredibly efficient if the thieves are in cohorts with factory workers. This is because the asset management system can also monitor employees’ whereabouts.

Smart Pumping

For a long time, water management plants have faced wastage issues and outrageous electricity bills. These factors make up a significant portion of the cost of operation. Smart pumping is the pump industry’s proactive response to these long-standing problems.

The industry has recently ditched its reactive approach for predictive maintenance to turn the tides back in its favor. With smart pumping, sensors have replaced human efforts in tedious and time-consuming tasks. Manual maintenance of pumps is fast becoming a thing of the past.

Nowadays, technology monitors the pumps’ health and checks for signs of abnormalities. It does this by monitoring temperatures, vibration levels, runtime, etc. When the sensors detect any irregularities, they trigger troubleshooting processes to get the equipment working optimally.

These sensors also regulate water pressure in the pumps. Each company has pre-determined metrics that it operates by (including compulsory industry standards), and the sensors adhere to these metrics. They shut off when they need to, thereby preventing wastage and helping the company save money.

Safety and Security

IoT isn’t just here for the machines; it is also implemented to ensure employee safety. The best IoT companies continuously seek to make human lives and work more comfortable and safer – not to replace them. In manufacturing, employees regularly work with heavy-duty machines and thus need the best safety measures in place.

With data analysis, plant managers can use IoT to ensure that working conditions are ideal. They monitor near misses and work-related injuries and use the data to improve their safety processes. If there are indicators of a procedure or device not being as safe as it once was, the system upgrades or replaces it.

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Amanda Dudley is a distinguished writer and a lecturer with a Ph.D. in History at Stanford University. She is fascinated with students and seeks to help them succeed. On the side, she works at EssayUSA with a team of professional writers. There, she implements the latest educational techniques to help students with their academic assignments, dissertations and papers.

data center power

Data Center Power Market is Projected to Reach USD 15 Billion by 2026

According to a recent study from market research firm Global Market Insights, the growing deployment of IoT and cloud computing technologies across various businesses will significantly expand the data center power market share. Cisco Systems had estimated that the number of hyperscale data centers will see a rise from 338 in 2016 to 628 by 2021. It has also been found that these data centers will contribute to 53% of the total data centers across the globe.

Data center power management can be touted as a broad process that deals with the management, measurement, as well as monitoring of power generation in data centers. It also looks after the consumption and optimization of power within a data center facility. The construction of mega-facilities across different regions in the world by some of the global enterprises has added impetus to data center power consumption over the coming years.

The rising requirement for data centers and power backup has urged several firms to opt for modular data centers in order to add multiple modules. These data centers ensure that the load operates at an optimal level owing to their modular Uninterruptible Power Supply (UPS) architectures.

Furthermore, these systems are highly preferred in comparison to conventional UPS as they can be easily accessed and installed. They also offer maximum reliability and reduce the total cost of ownership. The smaller design or size of modular UPS makes it effective for use in micro and edge data center facilities that are distributed across crowded urban areas.

Data center power market distribution from colocation applications will gain significant momentum through 2026. This is due to the numerous benefits rendered by colocation providers, in conjunction with narrowing down the need for companies to establish newer facilities that can drain their vital resources like time, labor, and money. Owing to this, colocation data centers are highly preferred by several businesses that have monetary constraints and limited data storage requirements.

Furthermore, the influx of IoT and cloud services has augmented the need for data storage across large enterprises. This has pushed colocation providers to deliver enhanced services to operators in the form of power, cooling, and maintenance of the infrastructure.

Regionally, Data Center Power market in MEA is estimated to grow commendably over the forthcoming years attributing to the thriving telecommunication industry in the region. This has increased the demand for cloud computing which in turn has urged service providers to extend their IT facility across several economies in the region. As a result, various telecom operators are focusing on establishing large-scale facilities for improving their data transmission rate and meanwhile gaining a competitive edge in the market.

For instance, in 2019, renowned Palestinian telecommunication company Paltel Group announced the completion of the construction of its second data center in Ramallah which is a 65,000 square foot (6,000 sq m)-facility certified with Uptime Tier III Design. Such tremendous expansions of IT facilities will certainly instigate the adoption of intelligent power managing solutions for effective energy consumption in these facilities.

Key Companies covered in data center power market are ABB Ltd., Active POWER, Belkin International, Inc., Black Box Corporation, Caterpillar Inc., Cummins, Inc., Cyber Power Systems, Inc., Delta Electronic Inc., Eaton Corporation, Emerson Network Power, Inc., Hewlett-Packard Company, Huawei Technologies Co., Ltd., Legrand, Mitsubishi Electric Corporation, Rittal Gmbh & Co. Kg, Schneider Electric SE, Siemens AG, Toshiba Corporation, Tripp Lite, Vertiv Group Co.

Source: https://www.gminsights.com/pressrelease/data-center-power-market

warehouse automation

Leading Trends in Warehouse Automation and Management

The warehouse economy is getting stronger and stronger, with more jobs available each month. Still, there is a struggle to fill all available job positions. Luckily, many warehouses already found an effective solution to their labor, operations, and production challenges – advanced robotics and innovative automation and logistics. In this article, we will introduce you to leading trends in warehouse automation and management.

Warehouse robotics

Robotic autonomous forklifts are at work in a large number of warehouses and distribution centers. Remarkable new technologies have enabled reduced warehousing operational costs, optimized workflows, and improved the bottom line. Technology continues to evolve, and calculations around return on investment are currently more favorable than ever.

Automated guided vehicles and autonomous mobile robots

Automated guided vehicles and autonomous mobile robots are robotics innovations that are changing the game in warehouse management and operations. They typically include automated forklifts, floor cleaners, and pallet movers that come in various sizes and vary in capabilities. Each one is designed to support the function of a warehouse and manufacturing system. Advanced software and systems are used to upgrade traditional forklift equipment and provide autonomous robotic functionality. Robotics software allows scaling and controlling of all operations just with a simple click of a button. Managing the material flow and increasing the efficiency of operations has never been easier.


Automated guided vehicles changed warehouse practices for same-day shipping. Innovative solutions include robotic arms for lifting, barcode scanners for automatic inventory management, automated forklifts that move pallets, and much more. Products are shipped faster than ever, and the end result is a happier customer.

Automated picking process

Picking is probably the most time-consuming activity in every warehouse worldwide as it requires countless work hours and more labor work than any other operation. Going from aisle to aisle and product to product eats up so much production time. Fortunately, there is a way to reclaim that valuable time and take productivity to the next level. Many warehouses are introducing automated picker robots into their operations. They gather products and bring them to a central location, where the human workforce can fulfill the next job tasks much faster.

Automated cleaning machines

Autonomous machines have improved the way warehouses operate. Furthermore, warehouse cleaning also became automated. Robotic floor care is possible since the AI system enables the robot to navigate complex warehouse environments. Autonomous cleaning machines work safely and efficiently alongside employees in warehouses.

Big data and analytics

It’s required to analyze performance data to find the areas of manufacturing or warehouse operations that can be improved. Advancements in big data analytics can help businesses and manufacturers collect their data. They identify operational drawbacks and deficiencies – in order to eventually improve them. The use of barcode scanners on a product changed the way of moving through a warehouse. Each step of the process is scanned, and it’s easy to see where time is lost and what slows the system. Big data analytics solutions provide valuable information from daily operations and enable warehouse management to make smart decisions that can improve many aspects of performance.

The Internet of Things

For successful warehouse automation and management, multiple moving parts need to communicate with each other continuously. The Internet of Things (IoT) can make this happen. This technology can connect all devices and systems and keep them in sync while collecting operations data. Warehouse management can see and trace everything 24/7- from inventory and production levels to shipments going in and out, and much more. Radio Frequency Identification (RFID) attaches a tag to a package or a whole pallet to automatically track the item’s exact location at every moment. When everything in the warehouse is easily tracked and coordinated, it’s possible to achieve maximum efficiency.

Forklift telematics

Forklift telematics is an advanced smart technology system that uses sensors to track every truck in a fleet through online software accurately. It provides a 360-degree view of equipment and offers information about active trucks – where they are currently, and if any needs scheduling maintenance. To use wireless fleet management, a warehouse needs to install modules equipped with sensors, GPS, and telemetry technology onto their machines. By doing so, they can collect valuable data that provides new insight into various aspects of warehouse management and operations. The system generates instant alerts about possible vehicle impacts that can cause damage or injury and provide information about potential problem areas in a warehouse or outdoor environment.

Final thoughts on warehouse automation and management

Since we know all advantages of warehouse automation and management, it’s understandable why workers worry that automated systems and robots will eventually replace them in all activities. Nevertheless, automation actually improves the lives and jobs of everyone in this industry. That’s primarily because of enhanced worker safety – automated devices handle all stressful, daunting, and repetitive tasks. It allows workers to focus on more value-added tasks and therefore boosts their morale.

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Samuel Jefferson is working for PortaBox Storage Seattle. Eight years of experience gave him expertise in many areas of advanced warehouse management and automated operations, so he likes to share his knowledge occasionally by writing blogs. In his spare time, Samuel practices martial arts and enjoys outdoor activities with his son.

circuit

The American Printed Circuit Assembly Market Affected by Trade Wars but Resilient to the Pandemic

IndexBox has just published a new report: ‘U.S. Printed Circuit Assembly (Electronic Assembly) Market. Analysis And Forecast to 2025’. Here is a summary of the report’s key findings.

After two years of growth, the U.S. printed circuit assembly market decreased by -16.4% to $35.1B in 2019. The market value increased at an average annual rate of +2.9% over the period from 2013 to 2019; however, the trend pattern indicated some noticeable fluctuations being recorded throughout the analyzed period. Over the period under review, the market hit record highs at $41.9B in 2018, and then contracted markedly in the following year. This rapid decrease was caused b a plunge in printed circuit imports from China.

In terms of supplying countries, South Korea ($4.1B), Taiwan ($4.1B) and China ($3.4B) were the main suppliers of printed circuit assembly to the U.S., together accounting for 67% of total imports (IndexBox estimates). Imports from Taiwan recorded tangible growth in 2019, while supplies from China dropped dramatically in the last year. This went along a new round of trade confrontation between the U.S. and China when the U.S. tries to limit the influence of Chinese technology companies on the American market.

Printed circuit assembly production, meanwhile, amounted to $18.3B in 2019. The total output value increased at an average annual rate of +1.4% from 2013 to 2019. Despite the pandemic, preliminary data show that in the first half, cumulative revenues of electronic component manufacturers did not decline from the previous year. This could indicate that the printed circuit assemblies and microelectronics market, in general, will be more resilient to a pandemic than many other markets.

Printed circuit assemblies constitute integrated electronic systems containing various semiconductors and other elements mounted on printed circuit boards. Such systems are widely used in the production of electronic, computer, digital, video, audio and other types of apparatus, in the aerospace, industrial automation, telecommunications and many other areas.

Therefore, the key factor determining the development of the printed circuit assembly market is the dynamics of industrial manufacturing, which, in turn, depends on economic growth, employment and income of the population, and investments, which altogether reflect the overall GDP growth. In addition, the growth of the market is also shaped by the growing digitalization of the economy, the development of smart technology and the Internet of Things, as well as the rapid development of mobile communication networks and the expansion of their coverage.

According to the World Bank outlook from January 2020, the U.S. economy was expected to slow down to +1.7% per year in the medium term, hampered by increasing global uncertainty, the U.S.-China trade war, and slower global growth.

In early 2020, however, the global economy entered a period of the crisis caused by the COVID-19 epidemic, due to which most countries in the world put on halt production and transport activity. The result will be a drop in GDP relative to previous years and an unprecedented decline in oil prices.

The U.S. is struggling with a drastic short-term recession, with the expected contraction of GDP of approx. -6.1% in 2020, as the hit of the pandemic was harder than expected, and unemployment soared due to the shutdown and social isolation. The combination of tight financial conditions and uncertainty regarding the length of the pandemic and the possible bottom of the related economic drop, as well as high volatility of financial markets, disrupt capital investments in the immediate term, which may put a drag on the expansion of the printed circuit assembly market.

An additional serious risk for the medium-term recovery is the growth of geopolitical tensions in the world, especially between the United States and China, which are being drawn into a political confrontation on a wide range of issues. If sanctions and restrictions are tightened, it will hit global trade and worsen economic growth both in the United States and China and in many other countries involved in supply chains.

In addition to the development of electronics and the Internet of Things, the pandemic has triggered a surge in demand for mobile audio and video services, which will continue in the medium term. In addition, in the coming years, the active proliferation of 5G networks is expected to continue, which will give a new powerful impetus to the use of the Internet and the further development of smart devices. All of this will drive demand for printed circuit assemblies as they are key components of electronic engineering.

Taking into account the above, it is expected that in the medium term, as the economy recovers from the effects of the pandemic, the market is expected to grow gradually. Overall, market performance is forecast to expand with an anticipated CAGR of +0.9% for the period from 2019 to 2030, which is projected to bring the market volume to 374M units (or $38B) by the end of 2030.

Companies Mentioned in the Report

Sanmina Corporation, Jabil Circuit, Xilinx, Flextronics International USA, Electronic Assembly Corporation, Mercury Systems, Ttm Technologies, Benchmark Electronics, Jabil Circuit, IEC Electronics Corp., Sypris Solutions, Flextronics America, Plexus Corp., M C Test Service, Express Manufacturing, American Technical Ceramics Corp, Sigmatron International, Magna Electronics, Park Electrochemical Corp., Creation Technologies Wisconsin, Diamond Multimedia Systems, Viasystems Technologies Corp, Mid-South Industries, Hadco Corporation, Kimball Electronics, Smtc Manufacturing Corporation of California, Flextronics Holding USA, Logic Pd, Viasystems

Source: IndexBox AI Platform

IoT

IoT For Manufacturing: Everything You Should Know

The Internet of Things (IoT) has become increasingly popular in both households and workplaces. From having a virtual essay writer, to fitness trackers and thermostats for smart homes, the proliferation of smart things has reached a peak. Reports have shown that up to 79 percent of US consumers have at least one smart device in their homes.

With IoT’s rising popularity, it comes as no surprise that the manufacturing industry has started to utilize and harness its benefits. In the past decade, manufacturing companies have had to struggle to adapt to the evolution of the economic landscape. Fortunately, IoT gave these companies the tools needed for modernization.

However, despite the ongoing digital transformation in the manufacturing industry, not every company has utilized and harnessed the benefits of industrial IoT.

Whether you fall into this category or not, this article will tell you everything you need to know about IoT manufacturing and its applications.

IoT for Manufacturing

Today, several companies within the manufacturing industry are integrating IoT into production and supply. In what is described by some as the 4th industrial revolution in the industry, IoT and robotics are changing the way things work. A large percentage of manufacturers are convinced that the integration of digital facilities into production will be beneficial and even mitigate risks.

This only goes to show that IoT is an extremely profitable market for manufacturers and employers who want to hop on this train.

What Objectives Can be Reached with Industrial IoT?

With Industrial IoT, manufacturers and manufacturing companies can achieve a wide range of objectives. Here are a few objectives that can be reached when Industrial IoT is utilized:

1. Predictive maintenance

Each year, manufacturing companies all over the world pump millions of dollars into operational and maintenance costs. Most manufacturers are accustomed to scenarios where a piece of equipment breaks down mid-production. To avoid these instances, it is advisable to carry out equipment maintenance on time.

But how can companies do this if they can’t even predict downtime before it comes knocking? It’s simple.

With the aid of industrial IoT facilities like sensors, data, and analytics in equipment, manufacturers can easily detect and predict failure before it occurs.

 

 

 

2.  Monitoring in real-time

IoT allows manufacturing companies to monitor their assets in real-time. Through the use of communication channels and virtual assistants, everyone involved in the production process can stay abreast of any incidences or occurrences.

By enhancing communication within the production chain, it speeds up the manufacturing pace and, of course, saves time.

3. Remote management

Previously, manufacturers had to be physically present to assess the state of machines and equipment. However, with the aid of connected sensors, any manufacturer can now oversee and assess equipment remotely.

4.  Gathering consumer insight

The Internet of Things helps manufacturers and companies to track usage and demand patterns. With this, a manufacturer can easily detect user complaints and subsequently, remodel the product to enhance customer satisfaction.

Major Applications of IoT in Manufacturing

It is predicted that by 2025, there will be 22 billion IoT devices in use. This is a glaring pointer to the IoT future. Businesses need to align themselves with the accompanying transformation in how work is going to be done if they are to remain relevant. Many companies in the manufacturing industry already use IoT in areas such as:

1. Production

The production floor is one of the most important areas of a manufacturing company. Forward-thinking companies install IoT devices into their latest equipment. This connection of IoT to equipment affords operation managers the rare privilege of monitoring production operations as they occur.

This is very handy for planning and project management as it helps these managers easily adjust plans and reassign manpower to make the production process more efficient. The fact that IoT devices can also be installed on older equipment makes it even more appealing. It extends the relevance of these machines and saves costs.

2. Quality control

IoT is applied in the quality control processes of manufacturing companies at the product development stage. Here, data is analyzed and the results are used to tweak product designs. This can directly address quality concerns that may have arisen over time.

Preprogrammed criteria are also observed and fine-tuned automatically. This gives quality control officers an edge. The automation that IoT brings is a huge leap from the traditional method of adjusting parameters after sampling.

3. Supervising machine utilization

IoT is being used to observe the rate at which equipment is being used in manufacturing. This gives businesses data in real-time about how these equipment are used. Operational staff can also see what goes on at every point in production in detail.

This can directly challenge manufacturing norms. The data gathered about these machines is sent to the cloud and processed. After analysis, results are digitally displayed in apps for the workers to look at.

Benefits of IoT in Manufacturing

The implementation of IoT technology is still thought to be some distant dream. However, smart companies observe the IoT future and see the benefits of investing in IoT. Sustainability is key for companies in the manufacturing industry and any one of the following benefits can guarantee long-term success:

1. Cost-cutting edge

Companies have seen the opportunity for maximizing profits by cutting down costs when they adopt IoT. Breakdowns can be reduced by a whopping 70% by IoT. Additionally, 12% of the money that would have been spent on repairs can be saved and channeled into other aspects of manufacturing.

Another way that IoT can help reduce costs for manufacturing companies is in the aspect of employing labor. The traditional method of hiring many workers to handle manual tasks is expensive. Adopting IoT can automate these processes, bring about predictive maintenance, and reduce the need for a good portion of staff resources.

2. Reliability

More automation means improved reliability. This gives manufacturing firms the edge while planning that a lot of risks – usually from human errors – that would have been factored into the plan can be left out altogether. This makes for greater efficiency during production and reduces the wastage of resources.

3. Reduced accidents

IoT tracking equipment use is going to help make manufacturing safer. A lot of workplace accidents are a result of machines malfunctioning. However, with the volume of data processed by IoT about the equipment, it will be easier to identify defective machines and work on them before they pose health risks.

4. Reduced time to market

Faster production and supply time will reduce the time it takes for the product to hit the market. This means that more products can be in circulation at any given point in time as consumers have supply meeting demands. This way, companies that use IoT in their machinery and processes stand to gain greater market share.

Conclusion

The manufacturing industry is one that is fully equipped to harness the potentials and benefits of IoT. Fortunately, many companies have recognized this fact and are utilizing cutting-edge technology in their production and supply chain. So what are you waiting for?

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James Baxter is a professional ghostwriter, editor at write my essay  and blogger, who loves sharing his experience and knowledge with readers. He is especially interested in marketing, blogging, and IT. James is always happy to visit different places and meet new people there.

food

7 Industry Experts Weigh In On Blockchain and the Fresh Food Supply Chain 

Editor’s Note: While the writer filed this story before the magnitude of the global pandemic was known, the subject matter is even more vital now. Because if living with COVID-19 has brought to light anything, it is the importance of an unbroken fresh food supply chain. What follows are seven supply chain industry experts weighing in on blockchain, sharing their unique perspectives regarding challenges and adoption, with a focus on the fresh food supply chain.

On Jan. 4, 2011, President Barack Obama signed into law the Food and Drug Administration Food Safety Modernization Act (FSMA). One provision of the Act was that the “FDA will have access to records, including industry food safety plans and the records firms will be required to keep documenting implementation of their plans.” The intention of this mandate was clearly to safeguard the health and safety of the American public.

But there is a problem here. These records are stored all over the country on paper, in file cabinets located in thousands of places. So when there is a serious problem of contamination with, say romaine lettuce as there was in November 2018, and again in November 2019, this explains why it can take the FDA 45 to 60 days backtracking just to locate the records, with potentially thousands of farms under review for contamination. If these records were accessible through blockchain, the potential contaminated farms would be whittled down from thousands to less than 10, and identified within a matter of seconds.

Reasons like this make a strong use case for blockchain; it is why so many food supply chain industry leaders are focused on establishing a universally accepted blockchain platform, with particular focus on the fresh food supply chain.

Building a blockchain ecosystem for the fresh food supply chain, by bringing manufacturers, distributors, retailers and suppliers together is a seemingly insurmountable challenge to many of us involved in the industry. Let alone factoring the entire supply chain for food and beverage, and all consumer goods.

Luckily, there are those people who do have a keen perspective on blockchain, with not only an optimistic view of it, but solutions as well. I had the opportunity to interview seven key supply chain thought leaders on the subject of blockchain and the fresh food supply chain. These were: John Haggerty, vice president, Business Development, Burris Logistics; Steve Tracey, executive director, Center for Supply Chain Research at Penn State Smeal College of Business; Kevin Otto, senior director, Community Engagement, GS1 US; Rick Stein, vice president, Fresh Foods, Food Marketing Institute; Rick Blasgen, president and CEO, Council of Supply Chain Management Professionals; David Shillingford, CEO, Rising Tide Digital & Team Member, Resilience360; and Stephen Rogers, vice president, Blockchain Initiatives for Supply Chain, IBM.

Their viewpoints were diverse, reflecting their respective roles in the industry. And their responses were incisive and broad-reaching, with a very practical perspective on what is expected to realize a universal blockchain platform.

John Haggerty – Vice President, Business Development, Burris Logistics

Burris Logistics operates an expanding network of temperature-controlled warehousing and distribution centers from Florida to Massachusetts, also expanding west to Oklahoma. The company provides leading-edge logistics, transportation and supply chain solutions coast to coast through four distinct business units: Custom Distribution, PRW Plus (Public Refrigerated Warehousing), Trinity Logistics (transportation and freight management), and Honor Foods (a redistributor of frozen, refrigerated and dry food service products).

“There are systems of data exchange already in place in the fresh food supply chain that support blockchain. The GS1-128 barcode, for example, used in the meat industry, provides a global standard for exchanging data between different companies, enabling serialization and expiration to be encoded. Some seafood products, such as scallops fished in the North Atlantic, are tagged with GPS coordinates, recording location, date and time when harvested. Like the data acquired from the produce inspection capability and our customer portal, GS1-128 information is readymade for integration with the blockchain.

“We are constantly testing ourselves and readying ourselves to partner with those vendors and customers who want to integrate with blockchain. But as a solution provider, we are a participant in the process. We are blockchain ready, but those suppliers producing the products and those retailers receiving the products need to be the initiators of blockchain.”

“Utilizing blockchain to validate temperature-controlled services and product integrity is an extremely valid and attractive option. But only a small percentage of participants in the fresh produce supply chain, such as Dole and Driscoll’s, provide continuous tracking of products from producer to the retailer via blockchain.

“The challenge with blockchain in temperature-controlled foods, and indeed for the entire supply chain, is more fundamental than integrating blockchain-enabled companies, it is system standardization. Establishing a universal language with developed and managed standards from a recognized independent standards agency, which enables the openness like we enjoy with the Internet is where we need to focus our efforts. A uniform standard for blockchain is still a long ways away from being ready and effective across multiple channels.”

Steve Tracey – Executive Director, Center for Supply Chain Research, Penn State Smeal College of Business

The Center for Supply Chain Research connects researchers and professionals from leading organizations within a community that is shaping the future of the supply chain discipline. It is member strong and intellectually active in many facets of supply chain management and the enabling technologies used for collaboration, visibility and integration.

“The underlying technology of blockchain is a distributed ledger technology and encryption, which has been around for a while. It got popularized with bitcoin, and although it uses the same underlying technology, it is almost completely the obverse of how it is used for bitcoin. In a bitcoin use case, the trans-actors are anonymous, and the transactions are public, across a large network base. In a supply chain, the trans-actors are public, and the transactions are private, across a very small network base. You might have 50,000 or more network nodes around a bitcoin transaction, and in a supply chain use case you are talking about much smaller numbers, maybe 10s or 100s.

“Where I see blockchain being applicable in the long run are things like smart contracts. Blockchain could potentially speed up procure-to-pay systems, which would make the velocity of money and the speed of transactions go much faster, and significantly reduce administrative overhead.

“Another great use case is chain of custody in the food business. Being able to track and trace chain of custody from point of origin to point of use. This is another case where you could have big data streams managed with data integrity, creating a high trust value.

“From a data security perspective, one of the myths about blockchain is that it is perfectly accurate. It is not. If you put bad data into a blockchain, the only way to correct that bad data is to go back and append that block with the correct data. So blockchain doesn’t eliminate data quality issues. What it does do is encrypt data in a way you can trust the data. The combination of the encryption technology, the blockchain itself, and the distributed ledger system, where you are actually verifying the same data on multiple nodes in the network, creates a high level of data trust. As long as you put the right data in, and it is verified from the nodes in the network, you have a high level of trust that the data as input is trustworthy.

“The wide adoption of blockchain, in particular use cases, is going to come from pilots through networks of different organizations figuring out actual data sustainability models, and getting all the right players onto the network where they all have buy-in, and actually have a vested interest in having the data. To work, I believe it will need to be a win-win scenario, with the ability for everyone in the network to see value in both contributing and drawing data from the system.”

Kevin Otto – Senior Director, Community Engagement, GS1 US

GS1 US is a not-for-profit information standards organization. With more than 300,000 members, GS1 standards are the most widely used supply chain standards in the world. GS1 US administers the Universal Product Code (U.P.C.) barcode, as well as other information standards and data carriers.

“In our cross-industry blockchain discussions encompassing healthcare, food service, retail grocery, apparel and general merchandise, supply chain visibility is the first use case that companies are looking at to see how blockchain can fit into their operations. Because GS1 already has universally accepted standards in place for visibility that can be used in blockchain, and other data sharing mechanisms, we are in a unique position to foster interoperability between blockchain users. Essentially, GS1 Standards are fundamental to the evolution of blockchain.”

“Because of consumer demand to know more about the quality and origin of the foods they are purchasing, we are seeing a considerable increase in discussions around the ability to constantly monitor the quality of food products as they go through the supply chain, and then feed this information into a blockchain. This need is making it less practical to record and maintain this information paper-based, while at the same time it presents a barrier to getting participants onboard to record this data digitally, like at the farm level where they may not be electronically equipped.”

“In food, companies in the supply chain definitely have to know where a product came from and where it went, per FDA and USDA guidelines. Since GS1 Standards are broadly adopted in the food industry, these standards are being shared electronically, by and large. The challenge of getting smaller upstream suppliers (farmers and other producers) to use GS1 Standards for identifying, capturing and sharing information is therefore a first-step and prime concern, while the challenges of adopting blockchain are being discussed and evaluated. One-hundred percent supply chain visibility cannot be achieved without all participants in a blockchain ecosystem on-board with the same standards of capturing and reporting data. I think it is necessary to have bigger players come forward to push and facilitate smaller participant companies to come to the table.”

“Essentially, the food industry, as well as other supply chain sectors, is engaged in utilizing other systems to achieve supply chain visibility, until they figure out exactly the best way to leverage blockchain technology.”

Rick Stein- Vice President, Fresh Foods, Food Marketing Institute

The Food Marketing Institute (FMI) advocates on behalf of the food retail industry, which employs nearly 5 million workers and represents a combined annual sales volume of almost $800 billion. FMI member companies operate nearly 33,000 retail food stores and 12,000 pharmacies.

“FMI guidance to its members is to work with their supply chain partners and focus on prevention of contamination, increase communication with FDA and supply chain partners, and provide simple and agreed-upon data elements for traceability and flexibility in how those data elements are shared. Our members want to be able to make technology choices on their own, and we fully expect technology to advance as it has done so in the past.

“We firmly believe in the importance of the safety of products and the increased use of technology as a tool to share information among supply chain partners. Our members will choose which technologies they adopt but are moving toward the ability to trace their products back to its origins. Blockchain is among some of the technologies used, but it’s the data within that is critical to the success.”

Rick Blasgen – President and CEO, Council of Supply Chain Management Professionals (CSCMP)

CSCMP is a network of more than 6,000 global supply chain professional members worldwide. It is the preeminent worldwide professional association dedicated to the advancement and dissemination of research and knowledge on supply chain management.

“To me, blockchain is almost like RFID was some years ago. We have this technology that is probably ahead of business practice. People don’t know exactly what to do with it.

“There are a lot of pilots and use cases in progress, people trying to figure out how the technology and the business process will work. But at this point, who knows where it will go. It is a bit of a leap of faith, in a way. But, this is how new ways of doing business are accomplished.

“As a technology which is enabling movement of data between partners, if blockchain produces productivity and offers a more accurate and secure way of transacting business, it will lend toward being accepted by the supply chain. The question to be asked is: What do I get out of it that improves my business process?

“I think the track-and-trace capability will be the main draw for blockchain. Greater visibility into where the inventory has been, and where it is, at any time, in the supply chain will increase productivity. This will drive supply chain leaders to pilot it, and try to figure out how to best employ it in their supply chain.”

David Shillingford – CEO Rising Tide Digital, Team Member, Resilience360

Resilience360, was developed in DHL’s Global Innovation Center, and has since become an independent company receiving venture funding from Columbia Capital. The company is an innovative supply chain risk management software platform that helps businesses predict, assess, mitigate and react to supply chain disruptions and delays.

“There are a number of different ways that blockchain relates to supply chain risk. Ultimately, at the heart of it is having accurate supply chain visibility that you can trust, and sharing this data with all parties involved. This can be done with today’s technology, but in some cases, can be done better with blockchain, because it is data that can be trusted.

“This extends to the legality and paperwork associated with product movement. When a container is moving from point A to point B, specific financial transactions relate to what is in the container, who owns it at any particular point on the Earth and having location verification. This permits financial transactions to be initiated through smart contracts, which would be difficult to do without blockchain.

“Today, the state-of-the-art of supply chain risk management encompasses bringing together two sets of data. One relates to supply chain assets, which could be manufacturing locations or distribution centers, or the shipments that are made between them. This, of course, is being mapped or tracked in real-time in the system. But this is then overlaid with future risk indicators or information about an event that has happened that might be a disruption to the supply chain. These can include weather and geological disruptions, labor issues, political upheavals, anything that might disrupt the supply chain.

“This level of insight and analytics brings together what a company’s supply chain looks like in real-time, combined with what might happen to it given known data. Ultimately what a company wants to know is what it should be concerned about and the actions it should take to mitigate any disruptive events. At its core, a blockchain-enabled supply chain can outperform traditional supply chains because it is powered by accurate data, leading to better evaluation and decision making.”

Stephen Rogers – Vice President, Blockchain Initiatives for Supply Chain, IBM

Since 2016, IBM has worked with hundreds of clients across financial services, supply chain, government, retail, digital rights management and healthcare to implement blockchain applications, and operates a number of networks running live and in production. The cloud-based IBM Blockchain Platform delivers the end-to-end capabilities that clients need to quickly activate and successfully develop, operate, govern and secure their own business networks. IBM is an early member of Hyperledger, an open-source collaborative effort created to advance cross-industry blockchain technologies.

“The Internet of Things (IoT) and blockchain are going to be almost interchangeable because they will be working so closely together in the future. Right now they are viewed as two separate technologies, but they are going to come together. I would even describe blockchain as the most likely operating system for IoT networks because of its ability to provide security.”

“Food, and its supply chain, is one of those that you really want to make it an industry solution. Because having gaps in your information between the store that is selling it, and the farm that produced it, means you really don’t have a solution. You need to have information of where it was grown, where it was shipped to, and if there was any kind of an aggregation point, where that was shipped to for packaging, and where it was shipped for distribution and then shipped to the stores. You want to make sure you can capture all of that information.

“Walmart is starting out with a blockchain pilot with leafy greens, because of the past problems that have occurred with recalls. So IBM is out there with Food Trust, the first and biggest blockchain solution associated with food.” (Food Trust is an IBM blockchain-based solution that brought together a host of companies in the food industry into a network, including supply chain services companies.)

“The technology of blockchain still has a ways to grow. It still needs to be able to support higher levels of transactional throughput. There are a lot of people who describe blockchain as the golden hammer. It is not that. It is a technology. Just like robotic process automation or hybrid cars or AI, it addresses a specific set of problems. It’s just that these problems happen to be big intractable problems, so it is really important.”

___________________________________________________________

Jim McMahon is CEO of ZebraCom, Inc. He writes on industrial and technology solutions, and his features have appeared in more than 2,500 trade and business publications worldwide. You can reach him at jim.mcmahon@zebracom.net.

cloud

5 Strategies to Reduce Cloud Cost

After initial migration to the cloud, companies often discover that their infrastructure costs are surprisingly high. No matter how good the initial planning and cost estimation process was, the final costs almost always come in above expectations.

On-demand provisioning of cloud resources can be used to save money, but initially, it contributes to increased infrastructure usage due to the ease and speed at which the resources can be provisioned. But companies shouldn’t be discouraged by that. And infrastructure teams shouldn’t use it as a reason to tighten security policies or take flexibility back from the engineering teams. There are ways to achieve both high flexibility and low cost but it requires experience, the right tooling, and small changes to the development process and company culture.

In this article, we present five strategies that we use to help companies reduce their cloud costs and effectively plan for cloud migration.

Lightweight CICD

In one of our recent articles we discussed how companies can migrate to microservices but often forget to refactor the release process. The monolithic release process can lead to bloated integration environments. Unfortunately, after being starved for test environments in the data center, teams often overcompensate when migrating to the cloud by provisioning too many environments. The ease with which it can be done in the cloud makes the situation even worse.

Unfortunately, a high number of non-production environments don’t even help with increasing speed to market. Instead, it can lead to a longer and more brittle release process, even if all parts of the process are automated.

If you notice that your non-production infrastructure costs are getting high, you may be able to reduce your total cloud costs by implementing a lightweight continuous delivery process. To implement it, the key changes would include:

-Shifting testing to the level of individual microservices or applications in isolation. If designed right, the majority of defects can be found at the service-level testing. Proper implementation of stubs and test data would ensure high test coverage.

-Reducing the number of integration testing environments, including functional integration, performance integration, user acceptance, and staging.

-Embracing service mesh and smart routing between applications and microservices. The service mesh can allow multiple logical “environments” to safely exist within the perimeter of production environments and allows testing of services in the “dark launch” mode directly in production.

-Onboarding modern continuous delivery tooling such as Harness.io to streamline the CICD pipeline, implement safe dark launches in the production environment, and enable controlled and monitored canary releases.

See our previous article that goes into more detail on the subject.

Application modernization: containers, serverless, and cloud-native stack

The lift and shift strategy of cloud migration is becoming less and less popular but only a few companies choose to do deep application modernization and migrate their workloads to containers or serverless computing. Deploying applications directly on VMs is a viable approach, which can align with immutable infrastructure, infrastructure-as-code, and lightweight CICD requirements. For some applications, including many stateful components, it is the only reliable choice. However, VM-based deployment brings infrastructure overheads.

Resource (memory, CPU) overhead of container clusters may be less for 30% or more due to denser packing, larger machines and asynchronous workload scavenging unused capacity.

Containers improve resource (memory, CPU) utilization for approximately 30% compared to VM-based workloads because of denser packing and larger machines. Asynchronous jobs further improve efficiency by scavenging unused capacity.

The good news is that container platforms have matured significantly over the last few years. Most cloud providers support Kubernetes as a service with Amazon EKS, Google GKE, and Azure AKS. With only rare exceptions of sine packaged legacy applications or non-standard technology stacks, the Kubernetes-based platform can support most application workloads and satisfy enterprise requirements.

Whether to host stateful components such as databases, caches, and message queues in containers is still open for choice but even migrating stateless applications will reduce infrastructure costs. In case stateful components are not hosted in container platforms, cloud services such as Amazon RDS, Amazon DynamoDB, Amazon Kinesis, Google Cloud SQL, Google Spanner, Google Pub/Sub, Azure SQL, Azure CosmosDB, and many others can be used. We have recently published an article comparing a subset of cloud databases and EDWs.

More advanced modernization can include migration to serverless deployments with Amazon Lambdas, Google Cloud Functions, or Azure Functions. Modern cloud container runtimes like Google Cloud Run or AWS Fargate offer a middle ground between opinionated serverless platforms and regular Kubernetes infrastructure. Depending on the use case, they can also contribute to infrastructure cost savings. As an added benefit, usage of cloud services reduces human costs associated with provisioning, configuration, and maintenance.

Reactive and proactive scalability

There are two types of scalability that companies can implement to improve the utilization of cloud resources and reduce cloud costs: reactive auto-scaling and predictive AI-based scaling. Reactive autoscaling is the easiest to implement, but only works for stateless applications that don’t require long start-up and warm-up times. Since it is based on run-time metrics, it doesn’t handle well sudden bursts of traffic. In this case, either too many instances can be provisioned when they are not needed, or new instances can be provisioned too late, and customers will experience degraded performance. Applications that are configured for auto-scaling should be designed and implemented to start and warm up quickly.

Predictive scaling works for all types of applications including databases, other stateful components, and applications that take a long time to boot and warm up. Predictive scaling relies on AI and machine learning that analyzes past traffic, performance, and utilization and provides predictions on the required infrastructure footprint to handle upcoming surges or slow downs in traffic.

In our past implementations, we found that most applications have well-defined daily, weekly, and annual usage patterns. It applies to both customer-facing and internal applications but works best for customer applications due to natural fluctuations in how customers engage with companies. In more advanced cases, internal promotions and sales data can be used to predict future demand and traffic patterns.

A word of caution should be added about scalability, regarding both auto-scaling and predictive scaling. Most cloud providers provide discounts for stable continuous usage of CPU capacity or other cloud resources. If scalability can’t provide better savings than cloud discounts, it doesn’t have to be implemented.

On-demand and low-priority workloads

To take advantage of both dynamic scalability and cloud discounts for continued usage of resources, a company can implement on-demand provisioning of low-priority workloads. Such workloads can include in-depth testing, batch analytics, reporting, etc. For example, even with lightweight CICD, a company would still need to perform service-level testing or integration testing, in test or production environments. The CICD process can be designed in such a way that heavy testing will be aligned with the low production traffic. For customer-facing applications, it would often correspond to the night time. Most cloud providers allow discounts for continued usage even when a VM is taken down and then reprovisioned with a different workload, so a company would not need to sacrifice flexibility in deployments and reusing existing provisioning and deployment automation.

The important aspect of on-demand provisioning of environments is to destroy them as soon as they are not needed. Our experience shows that engineers often forget to shut down environments when they don’t need them. To avoid reliance on people, we implement shutdown either as a part of a continuous delivery pipeline and implement an environment leasing system. In the latter case, each newly created on-demand environment will get a lease and if an owner doesn’t explicitly renew the lease it will get destroyed when the lease expires. Separate monitoring processes and garbage collection of cloud resources are also often needed to ensure that every unused resource will get destroyed.

An additional cost-saving measure that we effectively used in several client implementations is usage of deeply discounted cloud resources that are provided with limited SLA guarantees. Examples of such resources are spot (AWS) or preemptible (GCP) VM instances. They represent unused capacity that are a few times cheaper than regular VM instances. Such instances can be used for build-test automation and various batch jobs that are not sensitive to restarts.

Monitoring 360

The famous maxim that you can’t manage what you can’t measure applies to cloud costs as well. When it comes to monitoring of cloud infrastructure, an obvious choice is to use cloud tools. To make the most out of cost monitoring, cloud resources have to be organized in the right way to be able to measure costs by:

-Department

-Team

-Application or microservice

-Environment

-Change

While the first points might be obvious, the last one might require additional clarification. In modern continuous delivery implementations, nearly every commit to source code repository triggers continuous integration and continuous delivery pipeline, which in turn provisions cloud infrastructure for test environments. This means that every change has an associated infrastructure cost, which should be measured and optimized. We have written more extensively about measuring change-level metrics and KPIs in the Continuous Delivery Blueprint book.

Multiple techniques exist to properly measure cloud infrastructure costs:

-Organizing cloud projects by departments, teams, or applications, and associating the cost and billing of such projects with department or team budgets.

-Tagging cloud resources with department, team, application, environment, or change tags.

-Using tools, including cloud cost analysis and optimization tools, or tools such as Harness.io, which provides continuous efficiency features to measure, report, and optimize infrastructure costs.

With the proper cost monitoring and the right tooling, the company should be able to get a proper understanding of inefficiencies and apply one of the cost optimization techniques we have outlined above.

Conclusion

Cloud migration is a challenging endeavor for any organization. While it’s important to estimate cloud infrastructure costs in advance, the companies shouldn’t be discouraged when they start getting higher invoices than originally expected. The first priority should be to get the applications running and avoid disruption to the business. The company can then use the strategies outlined above to optimize the cloud infrastructure footprint and reduce cloud costs. Grid Dynamics has helped numerous Fortune-1000 companies optimize cloud costs during and after the initial phases of cloud migration. Feel free to reach out to us if you have any questions or if you need help optimizing your cloud infrastructure footprint.

Electronic Manufacturing

Electronic Manufacturing Services Market is Set to Surpass USD 650 billion by 2026

According to a recent study from market research firm Global Market Insights, The Electronic Manufacturing Services Market is anticipated to witness exponential growth on account of rising investments and innovation in technologies like IoT & AI. Manufacturing companies are steadily adopting automation and smart manufacturing techniques to enhance their production capabilities, reduce operational costs and develop high-quality products.

Incorporation of industrial robots for smart production could enhance operational performance of the industrial unit and minimize human intervention. In November 2017, Asteelflash introduced a pilot program for its production facility in California for the creation of smart factory. The program would include installation of collaborative robots and connected equipment to increase productivity and generate real-time data.

Growing inclination towards smart home devices coupled with increasing integration of Internet of Things (IoT) & artificial intelligence (AI) solutions in consumer appliances may drive electronic manufacturers to adopt EMS. Considering these aspects, Global Market Insights, Inc., estimates that the electronic manufacturing services market could reach USD 650 billion by the year 2026.

The Electronic Manufacturing Services Market from the medical & healthcare application segment is poised to register a CAGR of over 4% through 2026. This appreciable growth rate is characterized mainly by the rapid digitalization of medical devices and surgical machinery. For instance, Bigfoot has developed a novel medical system, designed to offer continuous glucose monitoring capability and on-demand delivery of insulin to patients with varying diabetic conditions.

The solution includes a sensor-based wearable medical device, a data processing engine as well as an insulin dosage calculator for fully automated glucose management and delivery. Such endeavors are anticipated to significantly expedite the demand for EMS solutions in the medical domain, as the focus on delivering secure and safe treatments intensifies.

In addition to this, the growing adoption of real-time monitoring devices and systems in the healthcare sector is enhancing the need for effective PCB assembly through EMS, which is in turn likely to augment industry outlook over the projected timeframe. Key medtech entities such as Philips Healthcare, Fresenius Medical Care, Johnson & Johnson Medical Devices Companies, and GE Healthcare, among others are making collaborative efforts with EMS solution providers to facilitate cost-efficient production of advanced medical devices. For instance, Johnson & Johnson Medical Device Division partnered up with Jabil in 2018, for the manufacture of invasive surgical devices and orthopaedical devices. This joint effort not only enabled the companies to enhance medical device production but is also anticipated to help J&J achieve savings of nearly $600 million to $800 million by 2022.

The logistics segment held nearly 5% of the Electronics Manufacturing Services (EMS) industry share in 2019 and is expected to depict commendable growth at a 3% CAGR through 2026. This growth is attributed largely to the rising investment by EMS solution provides in logistics and transportation operations, in order to facilitate on-time deliveries and mitigate any potential service defects stemming from improper transportation.

The global Electronic Manufacturing Services Market consists of several key players offering logistics services, including SIIX Corporation, Kitron ASA, KENCO, and Syrma Technology, among others. Additionally, the ongoing trend of highly priced technical products has urged consumer electronics producers to engage third-party logistics services. This collaboration with contract manufactures will enable the companies to expand their global presence whilst ensuring quick and timely deliveries.

The consumer electronics sector, particularly in the APAC region is undergoing a major shift in manufacturing trends, mainly due to the current political tensions between China and the United States. Numerous electronics producers, including Samsung, have moved their operations bases to countries such as Vietnam and India, when the first visible fallouts from the tensions first came to light.

Moreover, lucrative policies implemented by the government of India, such as the Foreign Direct Investment initiative are providing foreign players ample opportunities to establish a manufacturing presence in the region. These favorable policies coupled with an abundance of cheap labor and raw material supply in the region will add impetus to electronic manufacturing services market expansion over the estimated timeline.

Key Companies covered in Electronic Manufacturing Services Market are Advanced Semiconductor Engineering Inc., Benchmark Electronics, Inc., Celestica Inc, Compal Electronics, Inc., Delta Group Electronics, Inc, Fabrinet, Flex Ltd, Foxconn Technology Group, Integrated Micro-Electronics, Inc., Inventec Corporation , Jabil Inc., KeyTronicEMS , Kimball Electronics, Inc. ,Plexus Corp., Quanta Computer, Sanmina Corporation, SIIX Corporation, Sparton Corporation, TPV Technology Limited, TT Electronics, Wistron Corporation

Source: https://www.gminsights.com/industry-analysis/electronic-manufacturing-services-ems-market