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Resurgence in Manufacturing Boosts Transport and Logistics Sector

outsourcing logistics global trade point

Resurgence in Manufacturing Boosts Transport and Logistics Sector

The transport and logistics sector has experienced a notable uptick in transaction volumes, reaching its highest levels in nine months, fueled by a resurgence in order volumes across the manufacturing sector.

Tradeshift’s Q1 Index of Global Trade Health reveals that activity levels within the T&L sector rose to within two points below the expected range in Q1, marking a significant improvement from tracking six points below that level over the previous two quarters. Meanwhile, demand signals in the manufacturing sector climbed to just one point below expectations, with new orders surpassing expectations by one point.

Across the Tradeshift network, total trade activity saw a one-point improvement compared to the previous quarter, although it remained three points below the anticipated range in Q1. Despite this being the ninth consecutive quarter of growth below expectations, it also signifies the third consecutive quarter of upward momentum following a period of sluggish activity.

Key highlights from the report include:

– China’s resurgence: Trade activity in China experienced a notable uptick, with transaction volumes growing by two points above the expected level, marking the highest rate in over two and a half years.- Momentum in the US: The US continued its momentum in Q1, with trade activity tracking one point above the baseline. Order volumes surged by an impressive seven points above expectations, building on the growth seen in the previous quarter.

– Eurozone improvement: Activity levels in the Eurozone improved to three points below the baseline in Q1, a significant turnaround from sinking as low as nine points below that level just six months earlier. New orders grew by six points above anticipated levels.

– UK struggles: While UK trade activity showed improvement, it remained four points below the expected level in Q1, with sluggish order volumes tracking five points below expectations.

James Stirk, CEO of Tradeshift, commented, “We’re witnessing consecutive quarters of robust order volume growth for the first time in two years, with the exception of the UK. While demand levels are on the path to recovery, normalization is still on the horizon. Short-to-medium-term recovery is likely to be fragile, with geopolitical uncertainty adding complexity.”

Despite the positive outlook, liquidity challenges persist for suppliers, potentially hindering supply chain activities. Although invoice payment times have decreased since their peak in Q3 2022, suppliers still face a 6% longer wait compared to pre-pandemic times.

Stirk added, “Cash flow is vital for supply chains, and many suppliers are running on empty after two challenging years. The longer payment delays persist, the greater the risk that an influx of new orders outpaces available working capital.”

A forthcoming joint venture between Tradeshift and HSBC aims to address these challenges by facilitating access to working capital through innovative financial services, including data-driven invoice financing.

manufacturing flex-work

A US Manufacturing Flex-Work Model Gains Traction

US manufacturing firms are turning to flexible, employee-driven scheduling as the supply of would-be workers is drying up. Most manufacturing plants operate two shifts: 5 AM to 5 PM and then 5 PM back to 5 AM. Factories require uninterrupted production 24 hours a day, seven days a week. Historically, the easiest way to coordinate this was two 12-hour shifts daily. 

This model has worked for decades, but many factories are having difficulty retaining and attracting new employees amidst a blue-collar labor crunch. The median US manufacturing employee is 44.1 years old – two years older than the average US worker. By 2030, the Department of Labor expects 2.5 million factory workers to retire, compounding a roughly 2.1 million manufacturing jobs shortage. 

Over the past 15 years, factories have turned to automation to mitigate worker shortages. Yet, for some plants, automation can only do so much. Flex-work is a new model in which workers are provided the option to choose their own start times and shift lengths. Employees work closely with their supervisors every two weeks to define their shifts, and supervisors then construct a monthly schedule and fill in the gaps where needed. 

While this sounds simple enough, most plants cite increased costs that come with monthly planning and training should more employees be onboarded part-time. Yet, much of this is offset by a reduction in overtime pay and increased retention. Flex-work is especially attractive for couples working at the same plant with children. They can schedule work times based on the other’s schedule thus making room for child-care duties. 

Before the pandemic, US factories hired eight to nine people for every ten openings. That number has now dropped to six, and the ratio is at its lowest level since 2000. With flex-work, plants are beginning to target segments of the population that had not traditionally been employed in the traditional 12-hour plant shifts. These included young parents and those who care for aging parents or have similar obligations that make traditional set hours difficult to work. 

While the factory churns out the product, other entities along the supply chain must adapt to the flex-work model. One of the biggest obstacles for many plants is finding transportation companies willing to adapt to varied pick-up times during the week instead of one standard schedule for most of the year. This comes at a price, but with an aging workforce and less supply, manufacturing plants must employ flex-work and other employment models to keep up with changing demographics.

manufacturing flex-work

Is AI the Silver Bullet for Manufacturing? 

The magic of AI lies in its adaptability and learning capabilities, enabling machines to improve and adapt to new international manufacturing scenarios.

The economic implications of AI implementation in manufacturing are multifaceted. While the initial investment in AI technology can be significant, the long-term savings and efficiency gains often justify the expense.

While AI indeed offers transformative potential, its success in manufacturing depends on a balanced approach that recognizes its limitations and challenges.

In the rapidly evolving landscape of global manufacturing, artificial intelligence (AI) is often heralded as the transformative force set to revolutionize industry practices. From automating mundane tasks to optimizing supply chains, AI’s potential seems boundless. But as we navigate through the waves of innovation, it’s crucial to separate the hype from reality and examine the tangible impacts of AI on the international manufacturing sector.

The integration of AI into manufacturing processes signifies a leap toward unprecedented efficiency. Robots, powered by AI algorithms, are now capable of performing tasks with precision and speed that surpass human capabilities. This automation not only accelerates production rates but also minimizes human error, leading to a significant improvement in overall productivity. The real magic of AI in automation, however, lies in its adaptability and learning capabilities, enabling machines to improve over time and adapt to new manufacturing scenarios without extensive reprogramming.

Beyond mere automation, AI’s ability to analyze vast datasets in real time can lead to a substantial efficiency boost in manufacturing. Predictive maintenance, powered by AI, can forecast machinery failures before they occur, reducing downtime and maintenance costs. AI-driven analytics extend further into supply chain optimization, where real-time data analysis can streamline logistics, minimize delays, and predictively manage inventory, thereby enhancing the agility and resilience of the manufacturing process. 

A Realistic Cost-Benefit Analysis

The economic implications of AI implementation in manufacturing are multifaceted. While the initial investment in AI technology can be significant, the long-term savings and efficiency gains often justify the expense. For instance, AI can streamline operations, reduce energy consumption, and cut labor costs. The true cost-benefit analysis must consider the potential displacement of workers and the need for retraining employees to work alongside AI technologies.

Despite fears, the advent of AI in manufacturing doesn’t spell the end of human involvement but rather heralds a new era of human-machine collaboration. AI systems can take over repetitive, labor-intensive tasks, freeing up human workers to focus on more complex, creative, and strategic activities. This synergy can enhance job satisfaction, foster innovation, and lead to the creation of new roles within the industry. For example, the design and manufacturing of intricate components, such as award plaques, can benefit from AI precision in engraving and customization, while human oversight ensures the final product meets quality standards.

AI significantly impacts manufacturing quality control, offering tools that can detect defects and inconsistencies with far greater accuracy than the human eye. Machine learning algorithms can analyze images from cameras on the production line to identify anomalies, ensuring that every product, from automobiles to xylophones, meets the highest quality standards. This not only reduces waste but also enhances the brand’s reputation by consistently delivering superior products.

The Good Outweighs the Bad

AI’s ability to manage complex datasets translates into a significant advantage in the area of product customization and personalization. Manufacturers are now able to offer bespoke products tailored to individual preferences at a scale that was previously unattainable. This mass customization is powered by AI’s ability to quickly adjust manufacturing parameters for individual orders, which significantly enhances customer satisfaction and opens new markets for personalized products.

Moreover, the integration of AI into the manufacturing sector has given rise to a host of new roles and responsibilities. The need for AI system supervisors, data analysts, and robotics technicians has created a surge in demand for skills related to the management and maintenance of intelligent systems. As AI continues to evolve, the demand for professionals with a blend of technical and analytical skills is expected to grow, emphasizing the importance of education and vocational training in preparing the workforce for the jobs of tomorrow.

One of the most notable shifts in the manufacturing landscape is the increasing importance of sustainability and the environmental impact of production processes. AI can play a pivotal role in this domain by optimizing the use of resources and reducing waste. Advanced algorithms are capable of designing more efficient production lines, reducing the carbon footprint, and promoting the use of renewable energy sources within the manufacturing sector.

Considering All the Considerations

The global manufacturing landscape is also undergoing a transformation with the adoption of AI. Different regions of the world are embracing AI at varying paces, with some leading the charge and others cautiously following. This has implications for global competitiveness, as early adopters may gain significant advantages in efficiency, innovation, and cost savings. However, this also presents challenges in terms of ensuring equitable access to AI technologies and avoiding a divide between AI-rich and AI-poor regions.

The role of policy and regulation in the adoption of AI in manufacturing cannot be understated. Safety standards, ethical considerations, and privacy regulations play a crucial role in shaping the extent to which AI can be utilized in the manufacturing sector. Governments and international bodies are tasked with creating frameworks that enable innovation while protecting workers’ rights and consumers’ interests.

Is AI the silver bullet for manufacturing? While AI indeed offers transformative potential, its success in manufacturing depends on a balanced approach that recognizes its limitations and challenges. By embracing AI as a tool for enhancement rather than a panacea, manufacturers can leverage technology to drive innovation, improve efficiency, and maintain competitive edge. As we move forward, separating the hype from reality will be crucial in harnessing AI’s true potential in the manufacturing sector.

Author Bio

Mike Szczesny is the owner and vice president of EDCO Awards & Specialties, a dedicated supplier of employee recognition products, branded merchandise, and award plaques. Szczesny takes pride in EDCO’s ability to help companies go the extra mile in expressing gratitude and appreciation to their employees. He resides in Fort Lauderdale, Florida.

manufacturing companies

American Manufacturing Resurgence

Reshoring Accelerates Significantly And Manufacturing Becomes A Digital-First Industry As CEOs Invest In Emerging Technologies Like Artificial Intelligence (AI), Robotics And More.

An accelerating number of CEOs whose companies depend on manufacturing to produce and deliver their goods are planning or have already successfully re-shored some of their overseas operations, the latest quarterly survey on American manufacturing resilience finds. The poll, a joint effort with Forbes, Xometry and veteran polling firm John Zogby Strategies, tracks CEO and decision-maker sentiment at more than 150 leading companies nationally and finds that 82% of CEOs have or are actively embracing reshoring strategies, up significantly from 55% in the previous survey fielded in January.

Fueling the reshoring strategy is growing optimism in American manufacturing. The survey finds that more CEOs – 71% now vs 64% in Q1 – believe there is enough manufacturing capacity in America to address the world’s supply chain concerns. As they bring manufacturing closer to home, CEOs and their management teams are making good on their promise to embrace technology, especially AI, to modernize their operations and future-proof their businesses. While 59% of CEOs saying investing in digital/automated workflows is their #1 strategy, a growing majority – 51% – are now investing in AI, significantly ahead of robotics, at 30%. Nearly all CEOs and decision-makers (97%) said they believe AI will play a large role in their future operations.

For those companies investing in AI, 68% have seen a significant ROI while just 27% of respondents say more time is required before they see any significant return. Only 5% are still developing AI for their operations.

When it comes to the economy, executive sentiment remains positive, despite the recent banking crisis. Eighty-seven percent are firmly committed to their original 2023 strategic plans and 97% say the future’s looking bright or that they see light at the end of the tunnel, up slightly from 95% in the last survey. Still, the vast majority of CEOs and corporate decision-makers – 89% – now say that a recession is likely or very likely to occur this year and more than half – 54% – say the Federal Reserve should lower interest rates.

Additional survey findings include:

  • 84% of the companies embracing AI are deploying the technology to solve supply chain management/operations; 76% for manufacturing procurement; 58% for digital procurement; 57% for quality control, and 40% for job management/automation;
  • When it comes to robotics, 44% are developing autonomous mobile robots; 33% for articulated robots, and 22% for automated guided vehicles;
  • 39 percent of CEOs are expected to hire more, while 56% will maintain their employee current staffing levels. Less than 5% said they are considering a reduction in their workforce.
  • 58% of decision-makers said they are increasing wages this year; 38% are maintaining current wage levels, and only 3% said they are decreasing.

Xometry’s two-sided marketplace plays a vital role in the rapid digital transformation of the manufacturing industry, connecting enterprise buyers with manufacturers who build the big ideas that fuel the global economy. Xometry’s AI-driven instant quoting engine, cloud-based software and digital sourcing tools are deeply embedded with procurement managers, buyers and engineers on one side and thousands of manufacturers on the other side. Xometry’s proprietary technology shortens development cycles, drives efficiencies within corporate environments and helps stabilize supply chains to make them more resilient.

cloud computing manufacturing market

Manufacturing Leaders Are Making Significant Cloud Investments to Remain Ahead of the Competition

Manufacturing experienced rapid change over the last decade, and the pandemic only accelerated this change. In the mid-2010s, it became known as the Fourth Industrial Revolution because the fusion of emergent technologies was the most disruptive industrial force since the invention of the computer sparked the digital revolution.

Now, advanced technologies like cloud computing, artificial intelligence (AI), and the Internet of Things (IoT) optimize the supply chain. And we’re lucky it does — the pandemic crippled manufacturing, as 78.3% of these businesses anticipated a major financial impact and more than one-third admitted to facing supply chain issues at the onset of the crisis. Since then, major ports in the U.S. and China have been heavily congested (although recent reports estimate ship backlogs were reduced by almost 90% and aging cargo dropped 46% in Los Angeles).

How bad could the situation have gotten without the help of cloud technologies? It’s unfathomable. Thankfully, manufacturing leaders continue making significant cloud investments to remain ahead of the competition and improve the global supply chain.

Manufacturing in the Cloud

Cloud computing specifically helped manufacturers survive and even grow through the global lockdowns. Supply chains were stretched beyond their limits in what’s now known as the Global Supply Chain Crisis. This includes a global chip shortage that stunted the 2021 holiday season, food security issues, and increased consumer spending (especially in the U.S.).

Research shows manufacturers with the highest levels of cloud adoption are most likely to optimize core workflows and find cost-effective solutions. While they spend more on cloud resources, Wipro FullStride Cloud Services research finds that the ROI of 42% experienced by businesses adopting cloud technology far outpaces competitors not leveraging the technology beyond a beginner’s level (24%).

That’s because the supply-chain issues, while getting better, still haven’t subsided since the start of the pandemic nearly three years ago. And they’re not going away anytime soon, either. There are multiple factors keeping it in play, including a global worker shortage.

There has consistently been more than 800,000 unfilled manufacturing job openings over the past year in the U.S. alone, with 2.1 million vacancies expected by 2030, according to Deloitte. This is caused by two factors: a skills gap and the push for remote work. Less than half (46%) of manufacturers have remote-monitoring processes in place today.

Although manufacturing has razor-thin margins, companies are still managing to raise their cloud spending budgets. Take the results of a recent poll by Wipro FullStride Cloud Services of 130 manufacturers with average revenues of $23 billion and with profit margins near 10% (a hair above the industry average of 9.6%) as a prime example: Those manufacturers implemented an average of 39.5 cloud initiatives, and they are expected to run 79% of their applications in the cloud.

How are they doing it?

A Cloudy Future

Manufacturing leaders need to establish themselves as innovative leaders, and that involves a lot of rebranding. The old idea of manufacturing is a throwback to a century ago; today’s manufacturing jobs are high-tech positions involving more high-level analysis than manual labor. Automation and predictive maintenance allow machines to do the assembly line work while humans spend their time working on more important things like innovation and customer relations.

Running these technologies from the cloud makes factories more responsive to customer needs and market trends in real-time. Consider how Amazon built arguably the most effective global distribution network that provides real-time inventory and supply tracking for both customers and management. Leveraging cloud technology has helped lower costs and bring products to market faster.

Still, it’s not uncommon for manufacturers to hold onto physical infrastructure for an entire human lifetime. Cloud technology makes it possible to integrate old equipment to future-proof the entire operation, and that’s exactly what manufacturing leaders are doing. But with the cloud comes a need for cybersecurity.

Cybersecurity spending is a priority for hybrid-cloud manufacturers, although only 29% of cloud leaders report making significant progress in risk management, according to Wipro FullStride Cloud Services. This is changing, as the pandemic’s rise in cybercrime caused a push from global governments (including CISA in the U.S.) to heighten cybersecurity awareness and implement a zero-trust architecture.

Cloudy With a Chance of Profits

To get the most out of cloud investments, manufacturers need a partner. Cloud is an emerging technology, and manufacturing leaders may not understand how to implement it for the highest possible ROI. But cloud-based businesses with specializations in manufacturing can guide you through how to save money by leveraging the cloud.

Cloud-based digital twins are also useful in reducing the costs associated with equipment repairs. Having a machine break down halts the entire assembly line and costs the company a lot of money — in fact, 91% of businesses lose at least $300,000 per hour in downtime. Predictive maintenance lets you closely monitor equipment and predict failures before they occur, drastically reducing unplanned downtime and optimizing costs.

These cloud-based savings free up liquidity to invest in other emerging technologies, like AI, edge computing, and 5G. The combination of these investments can help scale the business and allow for more agility. As a result, you will be able to create a wider range of SKUs with higher quality and pivot as necessary to meet ever-changing consumer and market demands.

Prepped to Succeed with Cloud Technology

We’re still in the early stages of a revolutionary change in modern industry that’s fueled by innovative new technologies. Cloud, IoT, and AI are among the advanced tech that manufacturing leaders use to gain deeper insights, optimize processes, and become more efficient and cost-effective. These initial investments by technological leaders are providing long-term ROI that’s already paying for itself.

Moving key functions to the cloud enables more powerful capabilities for existing equipment while adapting to the changing workforce. And it’s how the industry is going to finally overcome the detrimental effects of the pandemic and the global lockdowns that followed. We’re not out of the woods yet, but we will be soon enough, thanks to modern technology.

Author’s Bio

As the SVP of Wipro FullStride Cloud ServicesSudhir Kesavan oversees the business transformation of Wipro’s largest clients via the cloud. He is also responsible for the build-out of consulting and advisory services, engineering capabilities, and technology innovation for horizontal and industry-specific accelerators at the heart of enterprise digital transformation.

 

calibration

The Importance of Calibration Management in the Manufacturing Industry

As technology is advancing, and the world is becoming more automated, a lot of our work is being done by machines and equipment. From everyday items, like toys, to more complex products, such as cars and medical equipment, all kinds of stuff are manufactured using machines.

While machines and automated equipment have made the manufacturing process way easier, it has a few distinctive problems as well. One of them is the accuracy and efficiency of the machines. If the tools used to manufacture stuff are not precise enough to follow the set data, the resultant batch of products has the danger of being inconsistent, inaccurate, and inefficient.

This poses a serious threat to some industries, as in the case of medical equipment. The tools must be accurate all the time. To solve this issue, calibration management comes into play. Keep reading to know what it is and why you should incorporate it into your manufacturing process.

What Is Calibration?

For most of the products we rely on every day, the need for accuracy is extremely high. Take the example of cars. Even if one centimeter is off from the mathematical measurements, the outcome could be an increase in the number of accidents and deaths. It would be disastrous. This means the manufacturing equipment has to be accurate to the very last detail.

The process of ensuring that the manufacturing equipment is as accurate and efficient as the industry-standard reference equipment is called calibration. In this process, a device under test (DUT) of unknown value is checked against a standard device of known value to see if the DUT follows the industry standard or not.

The manual calibration of devices is the most basic way of doing it. The expert needs to put both the devices side-by-side and test them working at the same time. For example, to test a thermometer, the expert observes while both thermometers measure the temperature of boiling water.

However, the latest and better way to perform calibration is to use calibration management tools, like software that automatically schedules the calibration and performs it while you only have to supervise. Calibration management tools give you the most accurate results in no time. These tools can save businesses a lot of effort and time, and save more money in the long term.

The Importance of Calibration Management In Manufacturing

Would you want an inaccurate machine to perform surgery on you or build your car so it can tumble on the road? No one would want that. Non-precise manufacturing can not only tarnish the reputation of a company but also endanger several lives.

There are several reasons why manufacturers of all kinds, from low threat products to high-priority equipment, need to have a calibration management system in place as soon as possible.

Give Significance to Our Daily Lives

Taking medication, going out of your car, working on a computer, and performing almost every routine task have been made possible through the calibration of manufacturing equipment to churn out products accurately.

We are moving into a future that is even more dependent on technology. Consider the launch of self-driving cars. The first of their kind have already been made, and they are all set to take over in the future. Self-driving cars are a high-risk product, and they need to be manufactured with precision, detail, and accuracy. One wrong point can threaten lives.

Several more products are becoming automated and incorporating more technology into the process. With these advancements, the significance of calibration management will only rise further.

Increases Profits and Revenue

Calibration helps businesses manufacture high-quality products with consistency. This helps build a reliable name for the brand in the eyes of the public. As your business becomes more reliable and trusted for high-quality products, the revenue and profits for the business would increase as well.

Reduces Costs and Saves Money

Calibration management for the product ensures that they are up to the industry standard mark. If there are errors and inaccuracies in the manufacturing process, it could cost the business a lot of money. Let’s say you get reports of inaccuracies in one of your products that have already been launched without calibration management. In this case, you will have to recall all the products that were released in the same batch.

Taking the products off the market, paying for repairing costs, and having to destroy products that can’t be repaired can cost a huge amount of money to the business. All of this hassle can be saved by putting an efficient calibration management system in place that ensures that the products are being manufactured by precise equipment without fault.

Ensures Safety from Use of Products

There are joints and critical points in high-risk products, like cars, aircraft, and medical equipment, that need to be made with precise perfection. These products need to be made with accuracy so the process that has to be performed with the resultant product can be done accurately as well.

Lithium-ion batteries, PPE equipment to keep workers safe, and phones are some examples of hypersensitive products that need to be manufactured with accuracy and minimal error for the safety of the people using them.

If medical equipment goes wrong in treating the patient because it wasn’t manufactured properly, it can cost lives.

Increased Product Efficiency

Calibration of manufacturing equipment ensures that any errors in the tools are found and taken care of before a product is manufactured with it. As errors are reduced beforehand, the products produced after are highly accurate and require minimal to no repairs.

Accurate manufacturing equipment streamlines the process of producing products, so more output can be given in a shorter time with higher quality. This increases the efficiency of the overall manufacturing process.

How Often Should Equipment Be Calibrated?

The number of times or intervals that a product needs to be calibrated will depend on each piece of equipment. In most cases, the manufacturer of the equipment will give you information about how many times the tools will need to go through the calibration process. But if that does not happen, as a general rule of thumb, calibration management will vary with how critical the equipment produced the product.

For high-risk manufacturing, it will be best to calibrate the equipment right before the start of the production process. If your business deals with critical products, such as medical equipment, you can go for a monthly or quarterly calibration management system. For products that are not high-risk, doing calibration once or twice a year will be just enough.

If you are confused about when to calibrate still, you can contact the manufacturer of the equipment to get more information about the intervals.

Conclusion

Not setting up a system for proper calibration management is very risky. It can cost your business money, lead to injuries, endanger lives, and reduce the efficiency of the company. Worry not, for most of the calibration processes can be automated without hassle. Calibration management tools make it easy for you to measure your equipment against industry standards and remove any errors.

The bottom line is that calibration makes the processes, products, and the world more efficient and reduces errors. It plays a central role in the shiny new products consumers buy, and so calibration must be a part of the manufacturing process.

About the author

Liz Connelly is a freelance writer who focuses on technological advancements and modern manufacturing. Liz is currently writing for Gagelist.
manufacturing industry

5 Reasons Each Student Should Try to Work in the Manufacturing Industry

In this technologically advanced age, most students want to work in offices where they can sit down more often and operate a computer. Many neglect the manufacturing industry because they believe it is dull and boring. On the contrary, working in the manufacturing industry can be exciting with its perks and privileges. It is interesting to be part of a place that produces materials, food, and equipment used daily by the masses. Below are some of the reasons a student should endeavor to work in the manufacturing industry.

Considerations for working in the manufacturing industry

The manufacturing industry is one of the largest sectors in any society. Depending on the field you are studying, you could develop programs and software, run prototypes, or work in R&D. Again, it keeps you in learning and keeping up with the latest developments in your field. Also, internships in the manufacturing industry will give you much to discuss, especially if you have to write a research paper for me on your activities there.

#1 A safe environment

The manufacturing industry is believed to be full of toxic chemicals that make the environment unfit for human survival. Students get told early enough that manufacturing plants are dirty, unsafe, and dangerous. They also believe that the skills necessary to work in such an industry are unspecialized and that the task is stressful.

But it is not the case, as machine automation and robots have reduced the tedium in manufacturing industries, with improved health and safety regulations making the environment much safer. This new technology makes internships more fun and helps students learn how to work in a conducive environment. Manufacturing industries are more focused on the needs of their employees more now than ever before.

A student doing an internship in the industry might only have to monitor machines from a safe distance or learn how to design operations.

#2 New technology provides an opportunity for growth and development

The manufacturing industry is all about how to improve processes by making them more efficient while saving cost. So, a student gets to learn these qualities and practice them in his/her everyday life. He/she also gets to learn to develop solutions and ideas and apply them to create products that are needed by society.

New technology such as machine automation, robotics materials, 3D printing, Internet of things (IOTs) also changes the processes of making products. So you further learn valuable skills and keep up-to-date on society’s latest developments. It will also bridge the gap between what you learn in school and what is obtainable in the industry. The time spent practicing what you learned in school will grant you an opportunity to decide the best sector to help advance your career.

Also, as manufacturing companies are always looking for persons to fill in higher roles day by day, you find yourself continuously growing and learning in several avenues. You get to learn from experts who have been in the manufacturing industry for years. Moving from one position to a higher one and attaining several leadership positions becomes possible. As a student, you could also get scholarships to further your career from the company.

#3 Diverse entry-level opportunities

The variety of work opportunities in the manufacturing industry means that any student from high school to college can fit into one position or another. Several new roles keep coming up, such as program and software development, and so, the chances that you will find the exact role suited for you is high. Even if you feel you are unsuited for a particular line of work, most companies offer on-the-job training for their recruits and interns.

There are also many departments available to those seeking to work in the manufacturing industry; marketing, sales, product research and development, human resources, and business development. These departments require varied skills and technology to operate. The student could use the time spent in such an industry to determine a career path that fuels his/her passion and purpose.

#4 Keeps you active

Unlike sedentary work in offices that require little or no movement, working in the manufacturing industry involves some form of activity; hence you are rarely in a position for long. It keeps the student worker active and fit, ensuring that work is neither stagnant nor monotonous. Even if you are looking into managerial positions in the future, the manufacturing industry will keep you consistently on your toes.

There is much room for originality in the manufacturing industry. Challenges that build your mental strength and allow you to show off your skills will arise, and you also learn how to solve problems faster and with positive results. Since school encourages long periods of learning and teaches one how to sacrifice time, it is no new idea for a student to work long hours in the manufacturing industry.

#5 You can see the results of your hard work

In school, the hard work involved in writing exams and custom college essays results in grades and certificates. However, in the manufacturing industry, you create tangible products like food, drugs, equipment. These products are items used often by you and other people. Knowing that what is produced will help people may be the motivating factor you need to believe your life has a purpose.

Another result of hard labor is the remunerations and competitive wages paid to you when working in the manufacturing industry. As a student with higher skills, you are employed in higher positions, and you are also challenged to develop your skills. So, you may undergo other training that allows you to be paid higher wages when compared to non-skilled jobs.

Conclusion

The manufacturing industry leads in technology and innovation that improve the standards of living of a society. And so, there is so much potential in a career there. The reasons above show that work in the manufacturing industry can be exciting and not as dreary as most people make it to be. There are great rewards and health benefit plans for all employers which you could partake in. This security and stability could help you get a better footing when you finally decide to follow a career path in the industry.

___________________________________________________________________

Frank Hamilton has been working as an editor at essay review service Best Writers Online. He is a professional writing expert in such topics as blogging, digital marketing and self-education. He also loves traveling and speaks Spanish, French, German and English.

top states

TOP 10 STATES FOR MANUFACTURING 2019

It’s safe to say that most of the products we use daily were manufactured somewhere. From the clothes we wear to the cars we drive, a long line of wheels must be set in motion before the things we own end up in our hands. That’s why manufacturing and the people who manufacture are so important. 

Whether you have a product that needs manufacturing or need a manufacturer to make that product, finding the best team for the job is paramount to your product’s success and your businesses survival. These 10 states have an edge over the rest when it comes to manufacturing. From incentives to low tax rates to education programs that encourage students to consider manufacturing careers, these states are leading the country in manufacturing. Here’s why.

OHIO

With manufacturers in Ohio accounting for 12.56 percent of the state workforce, this Rust Belt state remains a manufacturing powerhouse despite recent shifts in the manufacturing landscape. Though smaller in size than many other states, Ohio is still the third largest in American when it comes to manufacturing, with a total output of $107.95 billion in 2017, and $50.40 billion in exports in 2018. To date, Ohio is home to more than 12,000 manufacturing firms, with 89 percent of those exporters being small businesses. 

MICHIGAN

Boasting total manufacturing output of $96.22 billion in 2017, Michigan has seen a significant resurgence in manufacturing in the past decade. Still king in the motor vehicle and vehicle parts manufacturing marketplace, the Wolverine State has also begun to earn a reputation for manufacturing quality machine parts, chemicals and pharmaceuticals. A small business friendly state, nearly 90 percent of all exporters in Michigan in 2018 were from that sector. Manufactured goods exports in 2018 alone totaled $55.35 billion.

CALIFORNIA

Consistently ranked among the top 10 states for manufacturing in the U.S., the Golden State workforce has nearly 8 percent of its employees working in that sector. California’s total manufacturing output was more than $300 billion in 2017, and 2018 saw nearly $155 billion in exported manufactured goods. With over 25,000 manufacturing firms (of which 93 percent are considered small to medium-sized businesses), California boasts a skilled workforce that is in it for the long haul, with many workers considering manufacturing a career, not just another job. California manufacturing jobs pay an average of over $100,000 in salary and benefits, compared to the U.S. average of $54,329.


TEXAS

Home to its own power grid and no personal or corporate income taxes, Texas is about as business friendly as you can get among the states. With $247.46 billion in manufactured goods exported from the Lone Star State in 2018, manufacturing accounts for 13.33 percent of the total Texas output while employing 7.04 percent of the state’s workforce. They say everything’s bigger in Texas, and the incentive programs in the state are no exception. Between the ample Texas Enterprise Fund, which has invested more than half a billion dollars since 2004, and major cuts to the state’s franchise tax, Texas is poised to remain one of the top manufacturing states in the nation.

NORTH CAROLINA

The second-largest food and beverage manufacturing state and the overall fifth-largest manufacturing state in America, North Carolina is home to the largest manufacturing workforce in the Southeast. The manufacturing industry employs 460,000 skilled workers in North Carolina–nearly 11 percent of the state’s workforce. North Carolina manufacturing makes up about 20 percent of the state’s gross state product, to the tune of $102.48 billion in 2017 and $31.06 billion in exports in 2018. North Carolina has experienced tremendous growth in manufacturing goods in recent years, with a nearly 35 percent increase in exports from 2010 to 2018. North Carolina’s pro-business climate and expert workforce make it an ideal state for manufacturers.

INDIANA

Manufacturing accounts for nearly 30 percent of the output in Indiana, where $102.59 billion was generated in 2017. Manufacturing accounts for almost 20 percent of the state’s workforce, with 516,900 workers employed in the sector statewide–an estimated one in five workers. In fact, Indiana has the highest concentration of manufacturing jobs in America. With more than 8,500 manufacturing firms already in the state, Indiana is the second-largest automobile manufacturing state in the nation. Along major truck routes and freight lines, goods manufactured in Indiana can reach 75 percent of the U.S. and Canada’s populations within a day’s drive.

FLORIDA

With more than 12,000 manufacturing firms in Florida, the state has made a big push in recent years to encourage more manufacturing. With the fifth-lowest corporate income tax in the country, the Sunshine State employs more than 331,000 workers in the manufacturing sector. Your manufactured goods can get to their destination with ease, because Florida’s multi-modal transportation system offers everything from air and rail to deep-water shipping and highways, all at a low cost of living and a low cost of doing business.

GEORGIA

Another  Southeast state that’s blazing trails in the manufacturing industry, Georgia boasts more 480,000 manufacturing jobs, ensuring that the future remains bright for the industry. That’s why the Peach State developed the Quick Start program and partnered with many in-state universities to teach rising students the skills they need for careers in manufacturing. Industry employs nearly nine percent of Georgia’s workforce across 6,600 firms. In 2018, manufacturers in the state generated $36.81 billion in exports, with a total manufacturing output of $61.06 billion in 2017.

TENNESSEE

According to the Tennessee Department of Economic and Community Development, the state’s growth in advanced manufacturing is higher than anywhere else in the nation; in fact, it’s 42 percent higher than the U.S. average. Manufacturing accounts for 16.13 percent of the state’s total output, which was $55.70 billion in 2017. Tennessee has numerous initiatives to help train its manufacturing workforce, including the NIST Manufacturing Extension Partnership, which provides small to medium-sized manufacturers with training and consulting, all with the goal of helping Tennessee-based manufacturers increase competitiveness in the marketplace via workplace initiatives to increase productivity and lower costs.

SOUTH CAROLINA

Over the past decade, South Carolina has seen manufacturing growth of 18 percent, the second largest jump in the Southeast. Manufacturers in the Palmetto State account for a total of nearly 17 percent of the state’s total output and 11.55 percent of South Carolina workers are employed in the manufacturing industry. In 2018, South Carolina’s exported goods totaled $33.89 billion. In 2018, South Carolina earned an A grade in the Manufacturing and Logistics Report Card by Ball State University’s Center for Business and Economic Research and Conexus Indiana. The report rated each state on criteria such as how desirable it is to site selectors, and the share of Income earned by manufacturing workers within the state.