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Beat the Freeze With a Proactive Fleet Winterization Strategy

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Beat the Freeze With a Proactive Fleet Winterization Strategy

As any trucker or fleet manager knows, winter weather and icy conditions can be particularly strenuous on logistics operations. Failure to adequately prepare vehicles can lead to costly breakdowns, delayed schedules and even road safety hazards, ultimately impacting the bottom line. 

Read also: Clean Fleet Revolution or Gamble? California’s Bold Move and the Future of Transportation

Implementing proactive winterization becomes paramount as the temperatures drop and snow begins to fall. Explore the most effective ways to beat the freeze and keep fleets in top working order during the colder months. 

Fleet Winterization Strategy Checklist for Logistics Professionals

Before winter’s icy grip takes hold, savvy fleet operators prepare their vehicles for harsh conditions by implementing a thorough maintenance checklist. These steps form the foundation of a robust winterization strategy for ensuring resilience throughout the cold season.

1. Inspect and Test the Batteries 

Many commercial trucks operate on coupled 12-volt batteries, which are particularly susceptible to cold weather problems. When temperatures drop, the chemical reactions within the battery slow down, reducing its ability to produce electrical energy. This decrease in capacity can lead to difficulties in starting the engine. Data from the Automobile Association reveals that 24% of winter breakdowns are battery-related. 

Drivers are also more likely to use heaters, lights and wipers during winter, putting extra strain on the battery.

Preventing these issues requires conducting regular voltage tests and inspecting for corrosion on terminals. Wrapping battery blankets around the box’s exterior can also help maintain a stable temperature in cold weather. 

For EV fleets, installing heat pumps can be an effective way to improve operations in snowy conditions. Industry reports show heat pumps can limit driving range reductions while minimizing battery strain.

2. Check Tires

Freezing weather can significantly impact tire performance, stiffening the rubber and reducing its grip on snowy roads. This phenomenon also affects tire pressure since air contracts in the cold. The consensus from leading manufacturers is that tires can lose about 1-2 psi of air for every 10 F drop in temperature. Underinflated tires can lead to reduced fuel efficiency, uneven wear and increased risk of blowouts.

Icy conditions can also accelerate tire wear, especially on commercial vehicles covering long distances. The combination of cold temperatures and rough road conditions can lead to faster tread wear and reduced tire longevity. Incidentally, 35% of delivery vehicle issues stem from tire-related complications. 

A well-rounded tire winterization strategy includes ensuring the air pressure is within the recommended range and monitoring tread depth. Transitioning to winter tires with enhanced grip is also essential to improve traction and reduce the risk of skidding. 

3. Test Braking Efficiency 

Icy road conditions reduce traction, increasing stopping distances and making it challenging for brakes to slow down or stop a vehicle effectively. In extreme cases, this inefficiency can lead to complete system failures due to the inability of brakes to generate sufficient friction against the road surface. There’s also the heightened risk of vehicular and pedestrian collisions to keep in mind. 

Preparing for winter by testing brake efficiency helps mitigate potential risks associated with driving in adverse conditions. Conduct a comprehensive inspection of the brake system — brake pads, rotors, calipers and brake lines — to ensure they are in top condition. Check the air chamber housings for corrosion and make sure the dust plugs are correctly fitted.

Testing the ABS functionality on a snowy road is also vital to ensure it operates effectively without compromising steering control during emergency braking.

4. Perform Fluid Checks and Top-Ups

Fluid viscosity increases in cold weather, leading to potential challenges in maintaining proper flow within trucking operations. For instance, hydraulic fluid serves as the medium for power transmission within the system, enabling the transfer of force from one component to another. Viscous hydraulic fluid reduces efficiency, slows response times and strains components.

This imperative also applies to other fluids, including coolant, engine oil and windshield washers. According to the North American Transportation Association, about 40% of roadside breakdowns result from cooling system problems, highlighting the critical role of maintaining proper fluid levels.

Regular inspection and topping up of all vehicle fluids is essential. Additionally, using winter-grade oil can prevent viscosity issues in cold temperatures. 

5. Perform an HVAC System Check

The HVAC system plays a vital role in regulating cabin temperature, defrosting windows and ensuring air quality inside the vehicle. In cold weather, a malfunctioning HVAC system can lead to fogged-up windows, reduced visibility and discomfort for drivers, affecting their focus and alertness on the road.

Winterization for HVAC primarily involves testing the heating system to ensure it can provide sufficient warmth to keep drivers comfortable when driving. Ensuring proper ventilation is essential to maintain air quality inside the cabin is equally paramount. Preventing stuffiness ensures a comfortable environment for long hauls in cold weather.

Installing additional cabin insulation may also be beneficial in retaining heat and improving overall HVAC efficiency in extreme temperatures. 

6. Inspect the Electrical System

A well-functioning electrical system is essential for safe and efficient winter driving. It powers critical components such as lights and safety features, which are fundamental in maintaining visibility during low-light and snowy conditions. 

Thorough inspection and maintenance are vital winterization steps to ensure optimal performance and safety for commercial drivers. Check the wiring for signs of wear, damage or corrosion to avert electrical issues that can lead to lighting failures. Conduct voltage tests to verify the system is functioning within the expected parameters.

Equipping commercial vehicles with an emergency electrical kit containing spare fuses, bulbs and essential electrical components is also necessary. This proactive step can help address minor electrical issues quickly and efficiently, minimizing on-road downtimes. 

Winterization Tips for Truckers

An effective winter preparedness strategy provides updated best practices for drivers to increase road safety and maintain hauling schedules. 

Check Weather Forecasts

Stay informed about upcoming weather conditions to plan routes and schedules accordingly, ensuring safe travel during winter.

Level up Defensive Driving Skills

Winter driving can be dangerous — 2022 saw nearly 500 fatal crashes and over 32,000 injuries on snowy or sleet-covered roads. Practicing defensive driving techniques, such as anticipating hazards, maintaining a safe distance and being alert to other drivers’ actions, enhances safety in these conditions.

Stay Well-Rested

Ensure adequate rest to maintain alertness and focus while driving in challenging winter weather. Pack essentials like blankets, food, water, flashlights and warm clothing in case of unexpected delays or emergencies.

Communicate With Dispatch

Keep in touch with dispatch for updates on road conditions and potential hazards, ensuring informed decision-making during winter travel.

Ensure Smooth Fleet Operations in Winter 

Embracing an advanced fleet winterization strategy is key to successful vehicle management and driver safety during freezing weather. Utilize this checklist as a strategic roadmap for optimizing vehicle performance and ensuring operational continuity during challenging winter months.

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Clean Fleet Revolution or Gamble? California’s Bold Move and the Future of Transportation

On April 28, 2023, California authorities approved a regulation to phase out sales of medium- and heavy-duty combustion-engine trucks by 2036. This milestone supports the state’s governor, Gavin Newsom, in his larger goal of accomplishing a complete transition to zero-emission models for all trucks used in the state by 2045. 

Read also: Ergonomic Support For Truck Fleets

Advocates for the Advanced Clean Fleet rule say it will bring improvements for some of the state’s most vulnerable communities located near transportation corridors or busy warehouses with perpetually polluted air. They also say the trucking industry will save billions of dollars by switching to cleaner vehicles. However, not everyone is enthusiastic about the mandate, and some opposers have collectively shown their displeasure.

What Does the Advanced Clean Fleet Rule Require? 

Trucking companies subject to ACF regulations must transition from vehicles that have internal combustion engines within stated timelines. The Advanced Clean Fleet rule applies to trucks involved in drayage operations at seaports and rail yards, as well as medium- and heavy-duty on-road vehicles weighing more than 8,500 pounds. Light-duty parcel or mail delivery vehicles and off-road yard tractors must also comply. In addition, the directive includes government fleets used in the state and operations identified as high priority within California. 

Which specifics apply to the last bullet point? State authorities define high-priority fleets as those owning, operating or directing at least one vehicle in California and that achieve at least $50 million in gross annual revenue or that own, operate, have common ownership or control 50 or more vehicles. 

Both federal government and high-priority fleets must comply with a default model-year schedule or opt into a zero-emission vehicle (ZEV) milestone option. The first choice allows companies to continue using trucks until the end of their useful lives, with some stipulations. 

The end of a vehicle’s useful life is 13 years from the model year associated with the engine certified by federal or state regulators. It also occurs when the truck exceeds 800,000 miles traveled or reaches 18 years from the model year engine certification — whichever is earlier. 

No matter which of these applies, fleet managers must complete their transition by the following January 1 after the vehicle meets the above dates.

The Effects on New Vehicle Purchases

Some industry professionals realize that, despite the high upfront expense of new vehicles, these purchases should help them minimize costs over time. However, updated trucks are not the only way to save. Research suggests the potential for up to 20% cost savings based on an operator’s likelihood of engaging in aggressive driving. That is because quick acceleration and hard braking can increase maintenance needs and shorten life spans. 

Regardless, California’s ACF rules center on transitioning from fuel-burning models. When fleet owners choose the model-year transition schedule, all new vehicles they purchase must be zero-emission options. However, those proceeding with this option can choose when they buy as long as they meet the other time-based requirements. 

Once drayage trucks reach the end of their minimum useful lives, fleet owners must cease operating them and buy zero-emission vehicles to replace them. Additionally, they must all be that type by 2035. In contrast, although government agencies may keep using current fleets past the useful-life point, they must buy ZEVs when it is time to replace them or opt into the ZEV milestone timeline. 

Additionally, government and high-priority fleets may purchase zero-emission or near-zero-emission vehicles until 2035. However, after that year, California will only permit the purchases of ZEVs.

Other Stipulations

Manufacturers play essential roles in these changes, too. As of 2036, they can only sell zero-emission versions of medium- and heavy-duty vehicles. 

There are other time-specific requirements for government fleets, too. They must ensure that at least half of their vehicle purchases are zero-emission options from now until 2027. After that point, they must all be that kind. However, government fleets of 10 vehicles or less can wait until 2027 to start purchasing their ZEVs. 

Failing to comply with these measures carries a daily fine of up to $10,000 per vehicle, emphasizing why it is in people’s best interest to understand and abide by the requirements. However, not everyone believes the Advanced Clean Fleet rules are good for the industry.

Compliance Difficult for Some

Some fleet professionals within and outside California are not pleased with what the ACF requires. One of the main reasons is that logistics companies operating elsewhere must gradually invest in new ZEVs if their routes include California. Since the state is so large and has numerous ports, it is a significant part of the supply chain. 

A possible workaround is to have noncompliant trucking companies drop their loads near the California border for pickup by vehicles that align with ACF regulations. However, working out the details could take time. People familiar with the matter have also drawn attention to another border-related matter.

Mexico has more than 200,000 trucking companies, but many are not ready to comply with the regulations. The expense is a significant barrier, with single electric trucks costing as much as $100,000. Some company representatives say they are not ready to comply, partially because they lack financial resources. Moreover, the issues go beyond the trucks themselves. Mexico would also need to invest in the necessary charging infrastructure. 

These challenges span outside of Mexico and affect any fleets that pass through California or will soon. Delays due to insufficient numbers of charging points or the time required to drop shipments off at the border for further transport could cause substantial delays. Now is the time to start thinking creatively about feasible solutions. 

Resistance to California’s Requirements

Some trucking professionals have banded together to actively protest what the ACF regulations require. Many industry association members have collectively filed lawsuits against California. Among other factors, they take issue with how the requirements ban noncompliant trucks from traveling within the state’s borders, regardless of where someone purchased or registered those vehicles. 

Opposers also assert that California’s rules will make it more difficult for people in the industry to obtain the work trucks they need to perform their duties without disruption. It is not just trucking association members who disagree with the impending requirements. Regulators in several states are pondering how to delay implementation so affected parties have more time to comply. They stipulate that they are not against the ACF’s goals and do not advocate for abandoning them, but they believe people should have more time to prepare. 

One of their primary concerns is the inadequate infrastructure necessary for supporting an influx of trucks that need charging points. Relatedly, the market must have enough compliant trucks for all affected entities to purchase. The increase in demand over a relatively short period could lead to people being put on lengthy waiting lists rather than immediately being able to buy and use the vehicles.

An Uncertain Future

As the ACF deadlines get closer, it should become clearer whether more parties will decide to push back or do what they must to comply. Much of the uncertainty stems from how California’s legislators were the first to take this decisive action to phase out fuel-burning vehicles. How things pan out for that state could determine how eager other parties in power are to follow suit.

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Ampcontrol Hosts First-Ever EV Fleet Summit in NYC, Spotlighting Future of Sustainable Transportation

Ampcontrol, a leading electric fleet software provider, has launched its inaugural “Ampcontrol Summit” at its global headquarters in New York City. This pioneering event brought together global industry leaders to discuss advancements in EV fleet management, charging infrastructure, and the future of sustainable transportation.

The summit featured key players in the EV space, including Electrada, WattEV, Revel, and more, who shared insights on managing energy for electric fleets, large-scale charging operations, and the integration of innovative technologies. As the transportation industry strives to reduce CO2 emissions and meet sustainability goals, the event served as a vital platform for collaboration and knowledge exchange.

Joachim Lohse, Founder and CEO of Ampcontrol, emphasized the company’s mission to drive fleet electrification and support industry leaders in navigating the transition to electric vehicles. With key discussions on energy management and charging hubs, the Ampcontrol Summit aims to continue fostering progress and innovation in the growing EV market.

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The Power Of Data: Leveraging Analytics For Smarter Transportation Decision-Making

Successful leaders of organizations in the transportation industry recognize the value of harnessing data analytics. Doing so helps logistics professionals plan shipments more efficiently and use resources more wisely.

Read also: New Resilinc Data Highlights a 30% Surge in Supply Chain Disruptions in H1 2024

It’s useful to examine real-world applications and tactics to better appreciate how companies can leverage data-driven insights to optimize their operations, enhance decision-making, and ultimately improve transportation systems.

Chief Benefits of Data Analytics for Transportation Companies

Here’s an overview of the main benefits transportation companies can get when working with data analytics:

Track Vehicles in Real-Time

Using a transportation management system gives you better insight into the location of each vehicle in your fleet. A TMS system for freight brokers gives managers and dispatchers awareness of where each driver is without needing to contact them directly for an update.

Optimize Routes

Of course, transportation companies must juggle a vast number of variables to get their shipments from point A to point B. For example, a freeway might be your best bet during the spring months, but by the time summer arrives, road repairs may prompt you to optimize routes to use surface streets for a particular stretch according to the analysis you perform on current information and historical data.

Alerts of Address Disruptions

Real-time data analytics will help you identify potential delays caused by unexpected bad weather and learn as soon as possible about major accidents on the road causing disruptions, so you can more effectively redeploy assets in your fleet.

Reduce Costs

By selecting a new, more efficient route on the fly, thanks to GPS data and updated information about traffic conditions, you can reduce vehicles’ idle time for a more efficient fleet.

Remain in Compliance

Analytics is instrumental in helping you stay compliant with safety regulations, such as tracking how many hours someone has been driving and whether they have taken mandated rest periods.

Using Data Analytics in Logistics

Fleet managers and dispatchers can rely on data analytics to make better decisions. For example, as real-time data pours into your system, you can detect an emerging traffic congestion problem that would prompt you to adjust routing details.

A torrent of data from telematics and GPS tracking gives managers information about the location of each vehicle in the fleet and details about driver behavior (such as “aggressive” driving or deviations from their assigned routes). Has a vehicle been stolen, or was it involved in an accident?

What Are Different Types of Data Analytics in Logistics?

There are five main types of data analytics in logistics for transportation industry executives to keep in mind:

Descriptive — Descriptive analytics provide you with a summary of historical data to get insight into past trends and performance of vehicles and drivers.

Diagnostic — Diagnostic analytics look at data to understand the root causes of inefficiency and problematic situations, and helps you identify reasons leading to previous outcomes.

Predictive — Predictive analytics data helps you forecast trends and future events. Machine learning allows you to anticipate transportation disruptions as well as patterns of demand so you can shift resources accordingly.

Prescriptive — Prescriptive analytics can drive recommendations so you can optimize your operations. For example, you’ll receive reminders about a particular vehicle needing to undergo maintenance, which is crucial for avoiding expensive repairs or replacement costs.

Cognitive — Cognitive analytics use machine learning and AI to help you analyze immense troves of complex, typically unstructured data, enabling your system to make decisions autonomously.

Looking Ahead

Analytics are already crucial for optimizing shipping, managing supply chains and conducting cost analysis studies, which all serve to enhance customer satisfaction while boosting the bottom line.

As for what the future might hold, organizations that fully digitalize their supply chain can anticipate benefiting from a more agile decision-making process thanks to real-time data integration. You can also assume that transportation companies will increasingly use data analytics to forecast future demand and stay more competitive.

Author bio

Mike Marut is the Marketing Manager at Revenova. He joined the logistics industry in 2023 after 7 years in TV news as an anchor, reporter, and multimedia journalist working as a one-man-band pitching, writing, shooting, and editing stories for TV, social media, and web. With a background in video and passion for transparency, Mike creates the majority of Revenova content with the end-user in mind.

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When Should You Prioritize Tire Balancing for Your Semi-Truck?

Maintenance is one of the biggest ongoing costs for any fleet, and tires account for many repair issues. Still, many truck fleets overlook the importance of tire balancing. While it’s a common practice among consumer cars and lighter-duty commercial vehicles, it’s less prominent with semis.

Read also: More Than Just Trucks: 5 Diverse Career Paths With A Cdl

That trend is changing as more attention falls on fleet operating costs and long-term optimization. However, views still differ. Even as the industry comes around to the importance of this practice, approaches to when semi-truck tires should be balanced vary widely.

The Run-to-Failure Approach

Many fleets operate on the run-to-failure method. This approach isn’t unique to tire balancing but may be more common than other repair concerns because many companies still don’t consider it mission-critical. It takes time to balance tires — especially when there are 18 of them — so many businesses only do it when a tangible issue arises.

The idea that this method saves time and money is a misconception. Tires account for 2% of total average fleet costs and don’t last as long without balancing. Unbalanced tires will also limit trucks’ fuel economy, and fuel accounts for 28% of all expenses. 

Fleets that only balance their tires when an issue is already visible lose more money to inefficiency and frequent tire replacements. However, these higher expenses aren’t immediately noticeable, which leads to widespread misconceptions that regular balancing is less efficient or more costly.

The Mileage Approach

As fleets move away from run-to-failure methods, many embrace a mileage-based approach. This is the most straightforward way to be proactive about tire balancing. Companies simply follow their OEM’s recommendations about balancing tires after so many miles.

Many tire companies recommend balancing every 20,000 miles. Considering the average semi-truck drives over 62,000 miles annually, that means at least three balancing-related maintenance stops each year per truck. Small operations may not have an issue with those figures, but they can add up to significant downtime across a larger fleet.

Of course, this downtime is often less impactful than the long-term productivity losses and costs stemming from improper balancing. However, the mileage approach still has some efficiency problems. 

Consider that the need to balance tires doesn’t always happen along a predictable schedule. Road conditions and truck-specific factors substantially impact tire wear. Consequently, the 20,000-mile benchmark may be too wide a gap for some vehicles and too frequent a schedule for others. 

The Data-Based Approach

Recent digitization trends in the industry have led to the emergence of a newer, more precise method. Up to 82% of logistics companies will adopt predictive analytics over the next few years, and this technology lets fleets take a more proactive, vehicle-specific approach to tire balancing.

It starts with Internet of Things (IoT) sensors, which gather real-time data from a truck, such as its vibrations, tire inflation levels, engine performance factors and more. The system alerts fleet managers when this information suggests the vehicle will need maintenance. In the context of tire balancing, that means getting real-time updates when a tire is having issues.

The biggest advantage of this approach is that, unlike the mileage method, it tailors schedules to specific vehicles. Fleets balance different trucks’ tires as needed, not by a general number that may or may not apply to the situation. This precision removes worries over unnecessary downtime from unneeded balancing. 

At the same time, predictive analytics recognizes tire wear before it’s evident to drivers. Consequently, this approach also reduces downtime and costs compared to the run-to-failure method. Despite these benefits, this tech-centric strategy can be expensive to implement and challenging to get right at first.

Which Tire Balancing Approach Is Best?

Predictive maintenance offers the most potential for time and cost reduction of any tire balancing strategy. However, it’s also the hardest to implement. Upfront costs aside, the AI models analyzing this data are tricky to program correctly and can produce many false positives without careful calibration, leading to more downtime.

Given the costs and complexity, a data-driven approach isn’t ideal for everyone. Smaller fleets or those with less experience with AI or IoT technology may see more improvement from the mileage method.

In some cases, a hybrid approach is the best way forward. Fleets may use predictive maintenance for their most heavily used vehicles while going off mileage for the rest. This mix of solutions makes it easier to balance costs and efficiency. Generally, a run-to-failure approach is not ideal.

How to Get More Out of Tire Balancing

Regardless of which approach a fleet chooses, it takes more than just an optimal schedule to get tire balancing right. Companies must also use the right equipment, which — much like balancing approaches themselves — vary based on circumstances.

A 3D automatic balancer can calculate tire width, diameter and distance between weight locations in a matter of seconds, making them the most efficient option. Still, this speed doesn’t always guarantee accuracy, and 3D balancers can be expensive. Consequently, smaller operations may benefit from a cheaper but more manual 2D balancer.

It’s also important to recognize that even the most sophisticated equipment is only reliable if it’s calibrated correctly and employees know how to use it. At the same time, the industry will need another 101,989 auto technicians by 2026, but entry into the sector is falling. As a result, it can be hard to get enough experience in the garage to ensure a fleet uses these tools correctly.

The solution is often to emphasize training and upskilling in current employees. Any technical skill is teachable, but fleets must educate workers before implementing new balancing technology. That’s even more important when adopting a more advanced, data-based approach. 

Even Advanced Tires Need Balancing

While tires have come a long way, they’re still not invincible. Even the most cutting-edge versions need balancing, and the ideal way to approach this maintenance isn’t always obvious.

Heavily manual, run-to-failure strategies are never ideal, but the best option beyond that depends on a fleet’s budget, size, needs and workforce. Accounting for these factors is the first step to more cost-effective tire balancing.

Hapag-Lloyd global trade

Hapag-Lloyd Leads the Industry with Fleet-Wide Real-Time Container Tracking

Hapag-Lloyd has taken a pioneering step in the container shipping industry by introducing real-time container tracking across the majority of its extensive fleet, encompassing nearly 3 million containers. With its innovative “Live Position” feature, customers can now monitor their shipments seamlessly from origin to destination. The company has made significant progress, equipping over two-thirds of its dry container fleet with tracking devices, with plans for complete coverage by summer.

Dr. Maximilian Rothkopf, Hapag-Lloyd’s COO, emphasized the transformative impact of real-time tracking, enabling swift decision-making and risk management for customers while enhancing fleet management efficiency. This milestone aligns with Hapag-Lloyd’s commitment declared in April 2022 to outfit all standard shipping containers with real-time monitoring, with installations commencing shortly thereafter.

Henrik Schilling, Head of Global Commercial Development, highlighted the company’s dedication to addressing customer concerns and enhancing operational capabilities. The Company aims to integrate tracking data seamlessly into customers’ systems via API and introduce Estimated Time of Arrival (ETA) Prediction as part of its ongoing product development.

This initiative builds upon Hapag-Lloyd’s previous success in real-time monitoring for its reefer container fleet and underscores its commitment to innovation and customer satisfaction. Collaborating with TradeTech company Nexxiot AG and leveraging devices from ORBCOMM, Hapag-Lloyd continues to lead the industry in providing cutting-edge solutions for enhanced supply chain visibility and efficiency.

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Build Streamlined Logistics with Route Optimization Algorithms

Today’s fleet owners and other logistics professionals seek practical solutions to boost competitiveness and cut unnecessary costs. Many are beginning to explore route optimization algorithms as the answer to their problems.

What Is Route Optimization?

Route optimization assesses numerous factors to find the most cost-efficient ways to make all deliveries. Field technicians, home care assistants, and sales professionals who visit customers at their homes or businesses are some examples of people outside logistics who benefit from route optimization.

How Does Route Optimization Work?

A well-optimized route is not necessarily the shortest one. Planners must consider things such as:

  • Drivers’ hours and break requirements
  • The number of parcels to deliver
  • Areas of heavy traffic or road construction
  • Access methods and related challenges
  • The number of drivers working at a given time

Dispatchers and other specialists crunch all the available data — often using advanced route optimization algorithms — evaluating it when deciding which vehicles and drivers should handle a particular day’s needs. The algorithms process the information and make tailored recommendations. They can also propose changes based on developing conditions, such as traffic backups or severe wrecks.

Drivers usually must continually interact with route optimization tools throughout the day. However, the engagement is generally minor. For example, they might tap a button in an app to indicate when they’ve delivered each parcel, are on a scheduled break or must go off the clock to deal with an unforeseen situation. Those inputs give the algorithms real-time feedback to update people’s routes as necessary.

What Are the Benefits of Route Optimization?

One of the biggest advantages of route optimization algorithms is better productivity. Drivers can make the most of their time because there’s usually no need to make spur-of-the-moment decisions. Instead, they can periodically check dash-mounted smartphones or tablets, and follow the instructions there.

These algorithms also help fleet organizations save time because vehicles are moving for larger percentages of time instead of being stuck in traffic. Since they usually work constantly in the background, these algorithms continuously update routes according to conditions in the driver’s area. Many also make suggestions based on historical data, combining that information with what’s happening in real time.

They enable better decision-making capabilities for the dispatchers, managers and others overseeing the routes, too. Even the most experienced and detail-oriented professionals likely can’t process as much information as quickly as today’s algorithms. Technologies are like people in that they can both make mistakes. However, combining humans and advanced technologies is typically very powerful, especially when applied to dynamic situations.

Customers also benefit from route optimization algorithms when they receive more accurate information about when parcels will arrive. They appreciate that convenience, particularly when they’re about to receive an expensive, signature-required, or long-awaited delivery and can’t feasibly wait at home all day for it to come.

People often receive emails specifying one- or two-hour windows during which their parcels should show up at their doors. However, route optimization algorithms can do even more by supporting real-time tracking.

Making the Most of Route Optimization Algorithms

People interested in using algorithms for route planning should start by thinking about the challenges they most want to overcome. Another way to analyze the present situation is for fleet owners and other leaders to consider how algorithms could help them succeed in the future.

In one example, a leading less-than-truckload brand used algorithms as part of a digital transformation strategy. An executive said this application allows the firm to increase flexibility and manage line-haul costs during market fluctuations. Additionally, decision-making within the business has improved.

Once leaders identify how route algorithms could address their current and future needs, they should begin exploring which software vendors best suit their budget, size and other specific factors. After creating a shortlist of possible enterprises, people should develop questions for sales representatives, anticipating that the answers will help them make the best decisions about which products to purchase.

Many decision-makers are already using advanced technologies for reasons other than route optimization, such as to help them determine when to do maintenance. That’s important because the timing depends on driving conditions.

For example, air filters prevent contaminants from damaging vehicles’ engines. Replacements of said filter can occur about every 20,000 miles for trucks experiencing average dirt and pollution levels. However, those driving on dusty roads and in more polluted areas need changes sooner. Some fleet owners use sensors and algorithms to learn precisely when to do maintenance on specific vehicles.

Anyone already depending on algorithms in other parts of their businesses should confirm whether their route planning tools will integrate smoothly with the other technologies. There’s a good chance they will, especially as many fleet owners gradually increase their reliance on algorithms in their operations.

Route Optimization Algorithms Support a Greener Future

Many leaders begin using route optimization algorithms after recognizing doing so will save them time and money. However, people may also notice such technologies align with their sustainability strategies.

In a broad sense, these algorithms can reduce idle time, improve fuel efficiency and significantly reduce failed delivery attempts. These benefits combine to minimize individual vehicle emissions. However, route optimization algorithms can also make entire organizations more sustainable.

Such was the case with a trucking company established in 1934. An executive said he and his fellow leaders were immediately excited about the efficiency gains they could achieve by adding the algorithms to an 80-vehicle fleet. However, the results of a trial revealed some unexpected benefits.

More specifically, after bringing the algorithms into its workflow, the brand had a 15% reduction in mileage and emissions. When executives from such firms can show how route optimization algorithms support a shrinking carbon footprint, eco-minded consumers will be more likely to give them their business for the long term.

The leaders of brands in this position can also use the algorithms to prove their actions to regulators and other authorities requiring the progressive reductions of emissions and the prioritization of greener practices. Demonstrating gradual progress in this area could help logistics providers avoid fines and confirm their sustainability commitments.

Route Optimization Is Worthwhile 

Logistics is a fast-paced and high-demand industry. Algorithms help enterprises save time and make deliveries more strategically. Regardless of a leader’s fleet size or goals, they should strongly consider investigating how these technological tools can help.

fleet management

How IoT Revolutionizes Fleet Management

IoT, or the “Internet of Things” is an important concept when it comes to fleet management for your vehicles and trailers. We’ve done plenty of research and have experience in the field, and we will explain in simple terms how the Internet of Things will help your business in the short and long run.

The Internet of Things helps fleet management by introducing the ability to collect and use data in real-time using devices and sensors. Fleet managers can use this data to make better decisions faster and more accurately. 

We’ll go into more detail about how the Internet of Things works and how it can make your business more efficient.

Track In Real Time

You don’t have to wait for a driver to call you anymore or even wait for them to get to a spot with WiFi or data to upload a file. IoT enabled. Instead, Internet-based devices can send all the information you need while things are happening so you don’t miss anything. Having data on hand right away helps you make decisions earlier. 

Driver Behavior Coaching

Discover the benefits of fleet dash cameras & AI technology, and you’ll get lots of real-time information about your drivers and their habits and behaviors. Truck drivers need to follow serious safety protocols to keep you and your company from taking too many risks. Dash cams and live interior cameras help you track what your drivers are doing. You can see habits like rapid acceleration and harsh braking.

Distracted driving is also an important concern for fleet managers and drivers. Cameras can provide immediate alerts when drivers aren’t paying attention to the road and have their eyes on a phone or something else. Similar technologies can even tell you how much space your drivers give the vehicles in front of them.

Driver coaching can also help with fuel management by telling you which drivers are more aggressive and use more fuel if they can help under certain conditions. Data can be revealing!

Predictive Maintenance

Drivers like to keep moving so they can keep making money, and fleet managers want them to keep moving so deliveries get made. All of this can be readily interrupted by unexpected maintenance. The data collected from sensors within the Internet of Things devices can help you predict when issues will occur, allowing your drivers to get maintenance on their trucks when it’s convenient instead of during a critical shipment. Predictive maintenance really can save you time and money!

Security

Trucks and their cargo can get stolen. Internet enabled devices help you track issues in the event the items you are hauling get stolen, or if someone manages to steal your truck or trailer. Tracking down and preventing problems becomes much easier with the Internet of Things.

Compliance

One major issue for fleet managers is ensuring compliance. Keeping track of Hours of Service and other related data is less than fun, especially with an inefficient system. The Internet of Things with data collection in real time will help you gather compliance data much more easily and keep your business from taking risks. Required records are far more efficient when the data is already collected and connected!

Data Collection

Some shipments need specific data collection points, like the temperature of a truck of frozen food. Gathering this data from IoT helps you efficiently send the data to prove that your shipment was kept at the right temperature the entire time without you needing to ask for it. Overall, data collection can be exceptionally helpful in sending the right data at the right time without having to check on it.

Conclusion

The Internet of Things enables you to know a lot more about your fleet business. You’ll be able to know many data points about trucks, travel, and drivers, which turn into opportunities to save money, and time and lower the risks you and your drivers take. A telematics solution is a great start to making full use of the Internet of Things within your business.

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Enhancing Supply Chain Resilience Through Proactive Fleet Safety Management

Prior to the COVID-19 pandemic, supply chains largely targeted efficiency above all else. After a series of widespread and lasting disruptions, that’s no longer the case. Supply chains must be resilient enough to withstand dramatic changes, but achieving that can be challenging.

It’s not always clear what changes to enact or which technologies are most worth it to invest in. Realistically, resiliency is not the product of a single best practice but the combination of many. Fleet safety management is an important one but an easy one to miss.

How Fleet Safety Impacts Supply Chain Resilience

While broader supply chain shifts like reshoring and supplier diversification are important, logistics processes deserve attention, too. In addition to being fast, transportation must be reliable, which is where fleet safety comes in.

Police-reported traffic accidents involved an estimated 523,796 large trucks in 2021 alone. That equals roughly 1,435 trucks getting into crashes every day, each with potential supply chain consequences. These incidents delay shipments by a few hours in a best-case scenario. In worse cases, they may result in injuries, high repair costs or damaged goods.

Fleet safety can impact supply chain operations outside of impacts, too. Safe drivers may pull over when they notice something unusual with their vehicles’ performance. Stopping and reporting these events is less disruptive than a crash but can still cause delays or require re-routing. By contrast, a safer fleet will make more on-time shipments and encounter fewer unexpected bumps in the road. That consistency in performance, timelines and costs echoes through supply chains.

How to Optimize Fleet Safety Management

In light of these considerations, logistics providers must be proactive about fleet safety management. That means capitalizing on the following best practices.

Implement Connected Technologies

The most important step in proactive fleet safety management is to track safety metrics through connected technologies. Vehicle operations are often able to get ahead of schedule by addressing maintenance needs before they become larger problems. The best way to do that is to track them through the Internet of Things (IoT).

IoT sensors and telematics systems can monitor vehicle health factors in real time and alert workers when issues arise. While these technologies incur higher upfront investments, those notifications let fleets respond to potential problems as quickly as possible.

Quick, technology-driven responses have two primary benefits for supply chain resilience. First, they prevent accidents that may cause injuries or larger disruptions. Secondly, they minimize repair expenses and related downtime by addressing these issues while they’re still small and removing the need to check things manually.

Predict Future Maintenance Needs

IoT-based safety tracking opens the door to another, more powerful strategy — predictive maintenance. With enough vehicle operations data, machine learning algorithms can predict when signs point toward needing repair soon. Then, fleets can get alerts to schedule repairs before declining conditions may even be noticeable to humans.

Predictive maintenance enables even earlier and more effective fixes than thorough preventive maintenance. As a result, it can extend asset life spans by up to 40% and reduce downtime by up to 50%. On top of keeping employees and other drivers safe, those savings mean fewer supply chain disruptions and lower costs.

Conventional preventive maintenance is preferable to reactive methods, but it wastes more time than many organizations realize. Roughly 30% of all preventive repair activities don’t add any value. Vehicles don’t degrade along a consistent schedule, so schedule-based repairs are insufficient. Opting for data-driven, predictive alternatives eliminates these unnecessary steps.

Secure Fleet IoT Systems

As supply chains implement these technologies, they must consider the unique risks they may produce. Most notably, greater IoT adoption corresponds to broader attack surfaces. More connected devices mean more potential entry points for hackers, so cybersecurity is essential.

Bridging the gap between IT and operational technology like vehicles has many benefits. Unfortunately, it also means trucks and other equipment become vulnerable to data breaches. As a result, supply chains have become popular targets, with supply chain cyberattacks affecting millions of people annually.

Thorough cybersecurity measures are necessary to ensure proactive fleet safety tools don’t jeopardize safety in other areas. Segmenting networks to keep IoT devices separate from other endpoints and data is a crucial first step. Enterprises must also encrypt all IoT traffic, use strong access methods and monitor network traffic in real time with AI.

Fleet Maintenance Is Key to Supply Chain Resilience

Optimizing fleet maintenance can be a tricky undertaking, but it’s essential for modern supply chains. When fleets become more proactive about their repairs, they reduce traffic accidents and related safety issues. These improvements, in turn, make logistics processes more reliable, enabling larger-scale supply chain resilience efforts.

Businesses must capitalize on new technologies to enable more resilience through fleet safety measures. That means implementing devices like IoT and telematics systems, and learning how to secure them. Industry 4.0 initiatives require careful attention, but if companies can do that, they can transform their fleet operations for the better.

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What Drives the Evolution of IoT in Fleet Management Today?

The Internet of Things (IoT) has thoroughly disrupted the logistics industry. Many fleets have already adopted and seen promising results from connected technologies, but this transformation is far from over. The use of the IoT in fleet management is still evolving.

Despite rapid growth in a relatively short time, IoT fleet management technologies are still in their infancy. As they mature and related innovations advance, so will the benefits, uses and concerns around tech-driven fleet management.

Predictive Maintenance

The biggest drivers of IoT adoption in fleet management today will continue to grow. Predictive maintenance is the perfect example.

Some fleets have saved as much as $1 million in just four months after implementing IoT-driven predictive maintenance practices. Across the board, adopters of this technology typically see 25% reductions in unscheduled downtime and savings of $2,000 per vehicle annually. With ROIs that high, this IoT use case will likely be around for a while.

As more organizations catch on to these benefits, predictive maintenance will become less of a competitive advantage and more of an industry standard. Those savings are impossible to ignore and will only become more enticing as IoT sensors improve. With significant savings achievable today, this use case will lay the foundation for future IoT applications.

Driver Monitoring

Many fleet managers have also discovered IoT technologies provide an ideal tool for driver monitoring. After years of frequent disruptions, logistics companies can’t afford preventable delays or costs. That means cutting down on unsafe driving behaviors and the IoT provides the means to do so.

On top of tracking truck maintenance factors, IoT sensors can also detect noncompliance with some safety policies. These include seatbelt use, speeding, harsh braking or driving for extended periods without breaks. Real-time insight into these practices helps enforce safe driving protocols.

This IoT application can help fleets prevent accidents and avoid tickets to ensure safe, efficient, and cost-effective transport. It’s also an easy jump for companies already using telematics systems for maintenance or insurance reasons.

Sustainability

As the IoT in fleet management grows, it’ll also see a shift towards sustainability. Supply chains already face increasing pressure to go green, but that’s hard to balance with simultaneous demands for efficiency. Packing more on one vehicle to run fewer trips could reduce emissions and save time, but with some roof racks holding up to 1,000 pounds, those trucks will burn more gas per mile.

IoT-driven insights help balance these complex considerations. Data from routes and real-time insight into vehicle emissions provide the information fleets need to find the ideal middle ground between fuel efficiency and throughput. More efficient routing would address both sides.

The IoT can also improve sustainability by enabling more efficient maintenance practices. As electric trucks become more common, IoT connectivity could help drivers find nearby chargers to plan routes around these stops. Those benefits will become more enticing as green initiatives grow.

5G Connectivity

Specific applications aren’t the only parts of IoT fleet management evolving today. Improvements and expansion in complementary technologies will spur further IoT adoption in the sector. 5G connectivity is one of the most prominent examples.

While many fleets recognize the IoT’s benefits, implementing it can be tricky. All the data these systems create needs a reliable platform to support it going back and forth between devices. Many existing network technologies fall short, but 5G promises the speed, latency and bandwidth necessary for large-scale IoT adoption.

Technologists have made big promises about 5G’s potential for some time, but these networks are finally becoming widespread enough to deliver on that potential. Consequently, logistics companies should expect IoT adoption within the industry to grow in size and complexity now that they have the necessary network infrastructure to support it.

Edge Computing

As 5G promotes faster IoT data transmission, edge computing will push fleet management technology further. The edge refers to splitting computing tasks between nearby devices. It lets relatively simple, low-power gadgets perform impressive work and enables faster data-driven actions. However, it requires fast and highly reliable networks.

Those networks are now here, thanks to 5G. Improvements in IoT device functionality make edge computing even more practical. As these trends continue, they’ll take IoT applications in fleet management to new heights.

Edge computing will enable almost instantaneous analysis of vehicle data. That means faster maintenance alerts, immediate safety warnings about emerging traffic concerns and even opening the door to more reliable driverless functions.

Autonomous Driving

That last benefit of edge computing will undoubtedly drive IoT fleet management’s evolution in the future. Autonomous trucks aren’t a reality yet, but IoT connectivity and edge computing are keys to enabling them.

Driverless vehicles need extensive real-time data to navigate and recognize obstacles safely. A larger network of IoT sensors provides this capability. They also need to analyze and act on that data in an instant — edge computing enables those processing speeds.

Fleet managers can capitalize on the benefits of autonomous driving features before fully self-driving trucks become a reality, too. High-level driverless features reduce fatal traffic accidents by letting human drivers rest more, even if they sometimes need to take the wheel. Features like this could also attract less experienced or younger, tech-savvy employees, addressing the ongoing trucker shortage.

Cybersecurity Concerns

Of course, the negative side effects of IoT fleet management will push further evolution in this field, too. Most notably, increased IoT adoption will bring IoT-related security concerns into the spotlight.

Transportation is among the top 10 most-attacked industries and IoT vulnerabilities account for much of this cybercrime. For all their benefits, IoT systems are notoriously difficult to secure, thanks to their interconnected nature and typically weak built-in protections. Evolving IoT usage will put more emphasis on these risks, driving a focus on cybersecurity for future IoT fleet management initiatives.

While the cause behind this shift is bad, the change itself is ultimately good. The logistics sector will take cybercrime more seriously and, hopefully, adopt better security practices, such as data encryption, multi-factor authentication and real-time monitoring. Fleets may also become choosier about the kinds of IoT devices they use, looking for those with better built-in security.

The IoT in Fleet Management Is Evolving

Including the IoT in fleet management has already changed the game for many logistics companies. As this technology grows and related trends evolve, the extent and way this sector uses the IoT will likewise shift.

Getting ahead of these trends will help fleets get more out of their tech adoption. Evolving IoT usage may be tricky to navigate, but adapting alongside these considerations could be key to remaining competitive.