New wave of robots changes logistics job descriptions
The advent of robotics means warehouse workers can spend less time walking and more time picking or serving customers, deployments show. It’s also creating opportunities for workers to manage and “train” the new equipment.
Ben Ames has spent 20 years as a journalist since starting out as a daily newspaper reporter in Pennsylvania in 1995. From 1999 forward, he has focused on business and technology reporting for a number of trade journals, beginning when he joined Design News and Modern Materials Handling magazines. Ames is author of the trail guide "Hiking Massachusetts" and is a graduate of the Columbia School of Journalism.
Warehouses have been quietly incorporating robots into their material handling operations for years, but that trend has shifted into high gear over the past 18 months thanks to soaring e-commerce demand and widespread labor shortages during the pandemic.
That surge of automation, in turn, will likely have ripple effects on the labor force, namely by rewriting job descriptions for many workers in the manufacturing, fulfillment, and retail sectors. Vendors say the fleets of robots rolling into DCs will not only speed up operations—particularly in areas that are experiencing acute labor shortages—but also create new job opportunities for workers who can manage, maintain, and “train” the automated equipment.
“As the shift toward robotics occurs with busier warehouses, manual workflows can be automated or workflows that have traditionally been carried out by highly specialized and inflexible machines could soon be carried out by robots that can be moved and retrained as needed,” Adhish Luitel, industry analyst for supply chain management and logistics at ABI Research, said in a release.
Pandemic-driven jumps in demand, relentless peak-season surges, and a lack of temporary and seasonal workers were pushing the company to the limits of its capacity. But by incorporating Locus’s rolling robots into its workflow, the retailer eliminated workers’ unproductive walking time and reduced the need for physical labor, all while supporting Covid-related safety and social distancing protocols.
“The supply chain industry is dealing with multiple challenges, especially in times of disruption,” Bill Ryan, CEO Software North America for Körber Business Area Supply Chain, said in a release. “In today’s world with increasing complexity, we’re looking to technology to solve these problems. With the new AMR solution, which we were able to deploy with our partner in record time, evo is able to increase performance while providing a safe and smart working environment for the staff.”
ROBOTS THAT “THINK” FOR THEMSELVES
Another example of how robots are changing jobs in the material handling sector can be seen in the evolution of robotic training—that is, how people “train” bots to do certain jobs in the DC. Currently, most robots are programmed by people, who either write software code or who physically guide a robot’s arm to the correct position. But a new generation of robotic technology relies increasingly on artificial intelligence (AI) for direction, thereby freeing up workers to do other DC jobs entirely.
One example comes from the Japanese industrial robotics company Mujin Corp. The company, which recently picked Atlanta for the location of its first U.S. office, says its intelligent robot control technology allows robots to perform complex picking tasks without needing to be taught exactly how to move. Instead, they rely on a type of AI called “machine intelligence,” which is a fusion of real-time motion planning, perception, simulation, and control technologies.
Mujin’s customers begin by modeling the new environment and “setting” relationships between the robots and their target objects; the system then enables the robot to safely perform tasks by setting high-level goals without explicitly telling the robot where to go or how to move.
“Companies that want to automate mundane and repetitive material handling tasks face myriad challenges, from the high costs of developing solutions for their difficult applications to unscheduled downtime and reprogramming costs when things don’t go as planned or when robots must be reprogrammed due to a change in product or workflow,” Mujin CEO Ross Diankov said in a release. “Mujin will bring a new wave of robotics technology to the U.S. market, with robots no longer needing to be taught how to move explicitly.”
UP FOR THE COUNT
A third example of how robotics are changing logistics workflows comes from Hy-Vee Inc., a Midwestern grocery store chain that recently deployed robots to cruise its stores’ aisles and autonomously conduct inventory counts.
As part of an effort to improve forecasting accuracy, optimize store layouts to boost sales, and avoid out-of-stocks, Hy-Vee is deploying the “Tally” robot model from Simbe Robotics in five stores across Iowa, Nebraska, and Missouri. The Tally is designed to autonomously scan products on store shelves up to three times per day to ensure products are in stock, in the correct location, and correctly priced, according to the developer. By freeing workers from the need to take inventory counts, Simbe adds, the robots allow them to focus on more engaging tasks such as serving customers.
“The pandemic truly created a ‘new normal’ for grocery that has illuminated the need for a greater frequency and fidelity of in-store data,” Brad Bogolea, CEO and co-founder of Simbe, said in a release. “Hy-Vee is the perfect example of thoughtfully adopting technology to improve the store experience for both customers and their teams. As retailers face a growing number of considerations, Tally provides a cost-effective solution that ensures they can continue to provide excellent customer service and create a valuable, more enjoyable working environment for their employees.”
This story first appeared in the September/October issue of Supply Chain Xchange, a journal of thought leadership for the supply chain management profession and a sister publication to AGiLE Business Media & Events’' DC Velocity.
For the trucking industry, operational costs have become the most urgent issue of 2024, even more so than issues around driver shortages and driver retention. That’s because while demand has dropped and rates have plummeted, costs have risen significantly since 2022.
As reported by the American Transportation Research Institute (ATRI), every cost element has increased over the past two years, including diesel prices, insurance premiums, driver rates, and trailer and truck payments. Operating costs increased beyond $2.00 per mile for the first time ever in 2022. This trend continued in 2023, with the total marginal cost of operating a truck rising to $2.27 per mile, marking a new record-high cost. At the same time, the average spot rate for a dry van was $2.02 per mile, meaning that trucking companies would lose $0.25 per mile to haul a dry van load at spot rates.
These high costs have placed a significant burden on the operations of trucking companies, challenging their financial sustainability over the last two years. As a result, 2023 saw approximately 8,000 brokers and 88,000 trucking companies cease operations, including some marquee names, such as Yellow Corp. and Convoy, and decades-long businesses, such as Matheson Trucking and Arnold Transportation Services.
More so than ever before, trucking companies need to get better at efficiently using their assets and reducing operational costs. So, what is a trucking company to do? Technology is the answer! Given the nature of the problem, technology-led innovation will be critical to ensure companies can balance rising costs through efficient operations.
One technology that could be the answer to many of the trucking industry’s issues is the concept of digital twins. A digital twin is a virtual model of a real system and simulates the physical state and behavior of the real system. As the physical system changes state, the digital twin keeps up with the real-world changes and provides predictive and decision-making capabilities built on top of the digital model.
DHL, in a 2023 white paper, suggests that—due to the maturation of technologies such as the internet of things (IoT), cloud computing, artificial intelligence (AI), advanced software engineering paradigms, and virtual reality—digital twins have “come of age” and are now viable across multiple sectors, including transportation. We agree with this assessment and believe that digital twins are essential to radically improving the processes of fleet planning and dispatch.
THE NEED TO AUTOMATE
Outside of attaining procurement efficiencies, trucking companies can achieve lower costs by focusing on critical operational levers such as minimizing deadheads, reducing driver dwell time, and maximizing driver and asset utilization.
However, manual methods of planning and dispatch cannot optimally balance these levers to achieve efficiency and cost control. Even when planners work very hard and owners strive to improve processes, optimizing fleet planning is not a problem humans can solve routinely. Planning is a computationally intensive activity. To achieve fleet-level efficiencies, the planner has to consider all possible truck-to-load combinations in real time and solve for many operational constraints such as drivers’ hours of service, customer windows, and driver home time, to name just a few. These computations become even more complex when you add in the dynamic nature of real-world conditions such as trucks getting stuck in traffic or breaking down or orders getting delayed. This is not a task humans do best! For these sorts of tasks, technology has the upper hand.
When a company creates a digital twin of its trucking network, it has a real-time model that factors in truck locations, drivers’ hours of service, and loads being executed and planned. Planners can then use this digital model to assess possible decisions and select ones that increase asset utilization, improve customer and driver satisfaction, and lower costs.
For example, a digital twin of the network can offer significant insights and analysis on the state of the network, including exceptions such as delayed pickups and deliveries, unassigned loads, and trucks needing assignments. Backed by AI that takes business rules into account, digital twins can allow companies to optimize their fleet performance by finding the most efficient load assignments and dynamically adjusting in real time to changes in traffic patterns and weather, customer delays, truck issues, and so on.
With a digital twin, carriers can optimize the matching of assets, drivers, and freight. Typically, an investment in this innovative technology results in a 20%+ increase in productive miles per truck, while also improving driver pay and significantly decreasing driver churn. Drivers get paid by the miles they run, so when they run more, they are able to make more money, resulting in less need to chase the next job in search of better pay.
ADDITIONAL BENEFITS
Digital twins also combat deadheading, another source of driver dissatisfaction and cost inefficiencies. On average, over-the-road drivers spend 17%–20% of road miles driving empty. Using a digital twin, a company can search across several freight sources to find a load that perfectly matches the deadhead leg without impacting downstream commitments. These additional revenue miles will help drivers to maximize their earnings on the road and carriers to maximize their asset utilization and profitability.
The traditional manual dispatch planning model is becoming increasingly outdated—each planner and fleet manager tasked with overseeing 30 to 40 vehicles. Carriers try to manage this problem by dividing the fleet into manageable chunks, which results in cross-fleet inefficiencies. Such a system isn’t scalable. A digital twin acts as an equalizer for small and mid-sized fleets. It enables carriers to expand by venturing beyond the fixed routes and network they were forced to run out of fear of additional logistical complexity.
A digital twin can also give an organization the transparency and visibility it needs to find and fix inefficiencies. A successful carrier will leverage the technology to learn from the hitches in its operations. While this visibility is beneficial in its own right, it also provides the first step toward a seamless, digitized operation. “Digital revolution” is a buzzword frequently heard at transportation conferences. Yet not too many organizations are dedicated to digitizing their operations past the visibility stage. The end goal should be using decision-support systems to automate key elements of the system, thus freeing up planners from their daily rote tasks to focus on problems that only humans can solve.
Finally incorporating a digital twin can also help trucking companies work toward the broader trend of creating greener supply chains. Because they have lower deadhead and dwell times, trucking companies that have adopted a digital twin can be more attractive to shippers that are looking for more efficient operations that meet their environmental, social, and governance (ESG) goals.
THE FUTURE IS HERE
It is important to note that the benefits described here are not dreams for the future; digital twin technology is already here. In fact, choosing a digital twin can seem daunting because there are already a spectrum of options out there. First and foremost, an organization must ensure that the digital twin it selects aligns with both the goals and the scope of its operation.
Additionally, the ideal digital twin should:
Operate in near real time. A digital twin should be able to refresh as often as the network changes.
Be able to factor in specific customer delivery requirements as well as asset- and operator-specific constraints.
Be computationally efficient and comprehensive as it considers thousands of permutations in milliseconds. The digital twin should be able to reoptimize an entire fleet’s schedule of multi-day routes on the fly.
Before implementing a digital twin, carriers need to make sure that they have robust data management processes in place. Electronic logging devices (ELDs), customers’ tenders, billing, shipments, and so on are already inundating carriers with a glut of data. However, the manual nature of operations in many carriers leads to poor data quality. Carriers will need to invest in data management approaches to improve data quality to support the generation and use of high-fidelity digital twins. Otherwise, the digital twin will not be representative of reality and companies will run into an issue of “garbage in, garbage out.”
REINVENTION AND TRANSFORMATION
While data management is critical, change management through the ranks of dispatch operations is often a harder task. In fact, the largest roadblock carriers face when undergoing a digital transformation is the lack of willingness to change, not the technology itself. Many carriers cling to outmoded planning methods. Planners, used to operating based on well-worn business rules and tribal knowledge, could be wary of the technology and resistant to change. They may need to be assured that, while it is true that every trucking network is uniquely complex, digital twins can be set up to model the intricacies of their specific dispatch operations and drive value to the network. A significant amount of time and resources will need to be expended on change management. Otherwise even though trucking companies may invest in cutting-edge technology, they won't be able to fully capitalize on the added value it can provide.
As the truckload industry works through the current freight cycle, it is important to realize that change is inevitable. Carriers will need to reinvent their operations and invest in technologies to ride through the busts and booms of future freight cycles. Recent global events point to the many ways that wrenches can be thrown into global transportation networks, and the fact that such volatility is here to stay. Digital twins can provide companies with the visibility to navigate such changes. But above all, an operation that uses the digital twin to drive decisions can make customers and drivers happy, and help the carriers keep their heads above water during times such as now.
Regular online readers of DC Velocity and Supply Chain Xchange have probably noticed something new during the past few weeks. Our team has been working for months to produce shiny new websites that allow you to find the supply chain news and stories you need more easily.
It is always good for a media brand to undergo a refresh every once in a while. We certainly are not alone in retooling our websites; most of you likely go through that rather complex process every few years. But this was more than just your average refresh. We did it to take advantage of the most recent developments in artificial intelligence (AI).
Most of the AI work will take place behind the scenes. We will not, for instance, use AI to generate our stories. Those will still be written by our award-winning editorial team (I realize I’m biased, but I believe them to be the best in the business). Instead, we will be applying AI to things like graphics, search functions, and prioritizing relevant stories to make it easier for you to find the information you need along with related content.
We have also redesigned the websites’ layouts to make it quick and easy to find articles on specific topics. For example, content on DC Velocity’s new site is divided into five categories: material handling, robotics, transportation, technology, and supply chain services. We also offer a robust video section, including case histories, webcasts, and executive interviews, plus our weekly podcasts.
Over on the Supply Chain Xchange site, we have organized articles into categories that align with the traditional five phases of supply chain management: plan, procure, produce, move, and store. Plus, we added a “tech” category just to round it off. You can also find links to our videos, newsletters, podcasts, webcasts, blogs, and much more on the site.
Our mobile-app users will also notice some enhancements. An increasing number of you are receiving your daily supply chain news on your phones and tablets, so we have revamped our sites for optimal performance on those devices. For instance, you’ll find that related stories will appear right after the article you’re reading in case you want to delve further into the topic.
However you view us, you will find snappier headlines, more graphics and illustrations, and sites that are easier to navigate.
I would personally like to thank our management, IT department, and editors for their work in making this transition a reality. In our more than 20 years as a media company, this is our largest expansion into digital yet.
We hope you enjoy the experience.
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In this chart, the red and green bars represent Trucking Conditions Index for 2024. The blue line represents the Trucking Conditions Index for 2023. The index shows that while business conditions for trucking companies improved in August of 2024 versus July of 2024, they are still overall negative.
FTR’s Trucking Conditions Index improved in August to -1.39 from the reading of -5.59 in July. The Bloomington, Indiana-based firm forecasts that its TCI readings will remain mostly negative-to-neutral through the beginning of 2025.
“Trucking is en route to more favorable conditions next year, but the road remains bumpy as both freight volume and capacity utilization are still soft, keeping rates weak. Our forecasts continue to show the truck freight market starting to favor carriers modestly before the second quarter of next year,” Avery Vise, FTR’s vice president of trucking, said in a release.
The TCI tracks the changes representing five major conditions in the U.S. truck market: freight volumes, freight rates, fleet capacity, fuel prices, and financing costs. Combined into a single index, a positive score represents good, optimistic conditions, and a negative score shows the opposite.
A coalition of truckers is applauding the latest round of $30 million in federal funding to address what they call a “national truck parking crisis,” created when drivers face an imperative to pull over and stop when they cap out their hours of service, yet can seldom find a safe spot for their vehicle.
According to the White House, a total of 44 projects were selected in this round of funding, including projects that improve safety, mobility, and economic competitiveness, constructing major bridges, expanding port capacity, and redesigning interchanges. The money is the latest in a series of large infrastructure investments that have included nearly $12.8 billion in funding through the INFRA and Mega programs for 140 projects across 42 states, Washington D.C., and Puerto Rico. The money funds: 35 bridge projects, 18 port projects, 20 rail projects, and 85 highway improvement projects.
In a statement, the Owner-Operator Independent Drivers Association (OOIDA) said the federal funds would make a big difference in driver safety and transportation networks.
"Lack of safe truck parking has been a top concern of truckers for decades and as a truck driver, I can tell you firsthand that when truckers don’t have a safe place to park, we are put in a no-win situation. We must either continue to drive while fatigued or out of legal driving time, or park in an undesignated and unsafe location like the side of the road or abandoned lot,” OOIDA President Todd Spencer said in a release. “It forces truck drivers to make a choice between safety and following federal Hours-of-Service rules. OOIDA and the 150,000 small business truckers we represent thank Secretary Buttigieg and the Department for their increased focus on resolving an issue that has plagued our industry for decades.”
“While there have been some signs of tightening in consumer spending, September’s numbers show consumers are willing to spend where they see value,” NRF Chief Economist Jack Kleinhenz said in a release. “September sales come amid the recent trend of payroll gains and other positive economic signs. Clearly, consumers continue to carry the economy, and conditions for the retail sector remain favorable as we move into the holiday season.”
The Census Bureau said overall retail sales in September were up 0.4% seasonally adjusted month over month and up 1.7% unadjusted year over year. That compared with increases of 0.1% month over month and 2.2% year over year in August.
Likewise, September’s core retail sales as defined by NRF — based on the Census data but excluding automobile dealers, gasoline stations and restaurants — were up 0.7% seasonally adjusted month over month and up 2.4% unadjusted year over year. NRF is now forecasting that 2024 holiday sales will increase between 2.5% and 3.5% over the same time last year.
Despite those upward trends, consumer resilience isn’t a free pass for retailers to underinvest in their stores by overlooking labor, customer experience tech, or digital transformation, several analysts warned.
"The 2024 holiday season offers more ‘normalcy’ for retailers with inflation cooling. Still, there is no doubt that consumers continue to seek value. Promotions in general will play a larger role in the 2024 holiday season. Retailers are dealing with shrinking shopper loyalties, a larger number of competitors across more channels – and, of course, a more dynamic landscape where prices are shifting more frequently to win over consumers who are looking for great deals,” Matt Pavich, senior director of strategy & innovation at pricing optimization solutions provider Revionics, said in an email.
Nikki Baird, VP of strategy & product at retail technology company Aptos, likewise said that retailers need to keep their focus on improving their value proposition and customer experience. “Retailers aren’t just competing with other retailers when it comes to consumers’ discretionary spending. If consumers feel like the shopping experience isn’t worth their time and effort, they are going to spend their money elsewhere. A trip to Italy, a dinner out, catching the latest Blake Lively and Ryan Reynolds films — there is no shortage of ways that consumers can spend their discretionary dollars,” she said.
Editor's note:This article was revised on October 18 to correct the attribution for a quote to Matt Pavich instead of Nikki Baird.