It may not produce the adrenaline kick of Pac Man or Texas Hold 'Em poker, but simulation software can give you a flashy live-action 3D view of what proposed changes will really do to your DC operations.
John Johnson joined the DC Velocity team in March 2004. A veteran business journalist, John has over a dozen years of experience covering the supply chain field, including time as chief editor of Warehousing Management. In addition, he has covered the venture capital community and previously was a sports reporter covering professional and collegiate sports in the Boston area. John served as senior editor and chief editor of DC Velocity until April 2008.
If you had walked into Dave Zuern's office last fall, chances are you would have found Zuern and his team huddled around a computer screen. But this wasn't about a quick game of Everquest II or Texas Hold 'Em during lunch break. What the staffers at Briggs & Stratton were watching so intently was not doom-defying warriors, but tiny engine parts whizzing down virtual conveyor belts.
They may look like videogames with their 3D simulation and flashy graphics, but today's DC simulation software programs have nothing to do with entertainment. Like ERP or WMS systems, these programs are all business. The software Zuern used, for example, took the reams of data he entered and spit back highly detailed distribution profiles of some new product lines that will move through his company's new DC when it opens this fall, including their velocity, seasonality, expected order sizes and destinations. But perhaps more importantly, the program helped Zuern and his staff simulate the distribution center's operations under a variety of conditions and answer all the inevitable "what if" questions.
As for how all this came about, the story goes back to engine-maker Briggs & Stratton's decision to build a new 300,000-square-foot distribution center that will open this October. As the company's director of distribution operations, Zuern was put in charge of the project. Anxious for reassurance that the facility (and its rack and conveyor equipment) would be able to absorb the added volume, Zuern decided to run his data through FortnaDCmodeler, a simulation tool developed by Fortna, a consulting firm that offers design-integration services. "Your job is basically on the line here," says Zuern. When it comes to building or leasing a sizeable DC, he says, "it's good to have a tool like this to help you. I didn't want to build a brand new building and then figure out that it's full before it's even done."
In fact, that nearly happened. Within weeks of the time he started entering data into the program, Zuern had the results of the simulation in hand. And although they confirmed many of his assumptions about the new DC's operations, he also learned something that came as a distinct shock: he needed more building. To be precise, he learned that Briggs & Stratton would have to expand the facility's footprint by about 50,000 square feet if the company wanted to remain in the DC for at least 10 years as planned.
Those weren't exactly the results he was looking for, of course, but Zuern was grateful to have the simulation's findings all the same. For one thing, having hard data in hand made it that much easier to pitch the proposed expansion to management. "It's nice to be able to go back to our board and say we didn't just guess at this," says Zuern. "It may have cost us a few bucks, but we're confident that the amount we're asking the company to invest for this project is justified."
Quick fixes
It used to be that the typical simulation project ran pretty much along the lines of Briggs & Stratton's, but that's starting to change. Today, applications are no longer limited to large-scale projects like new DC design and construction. Falling prices and technological advances have made simulation affordable for smaller projects too—say, determining the best combination of material handling equipment, identifying potential bottlenecks in an expansion, or designing the optimal pick path.
"The software is definitely getting better," says Bob Silverman, president of Gross & Associates, a consultancy specializing in material handling logistics, "and [it's getting] easier to use." That's not to imply that the software has evolved to the stage where it runs itself. "There's still a significant training component," Silverman concedes, "but for people already trained in it, it's much faster to do the simulations."
In fact, Silverman reports that his firm is receiving more and more requests for quick-fix simulation projects that can suggest a solution to an individual problem within a couple of days. Gross & Associates, for example, recently conducted a "quick hit" simulation for a client that analyzed the transfer stations and interfaces between the manual and automated parts of its operation. The existing operation uses an automated guided vehicle (AGV) to feed and take pallets away from an automated storage/retrieval system (AS/RS). The AGV system is old and prone to breakdowns, so Gross & Associates designed a pallet conveyor-based replacement for the AGVs. The company then solicited quotes for the pallet conveyor system from three systems integrators, each of which came back with a different suggestion for modifications to the initial design.
To help it decide which approach to choose, the client asked Gross & Associates to run a simulation of each solution. That quick simulation of each of the proposed designs revealed that two of the three consistently achieved the required speeds based on different combinations of inputs. But the analysis also showed that the third was likely to fail with particular mixes. That was valuable information, says Silverman. "Without the simulation, we might have selected an option that would work fine on typical high-volume days, but not accommodate the required rate when out-of-the-ordinary conditions were experienced."
Endless opportunities
It may be best known for helping companies like Briggs & Stratton or Silverman's client avoid costly mistakes, but simulation software can also help uncover opportunities for savings. Take the case of Genesco, a retailer that specializes in footwear and accessories.
When Genesco designed its new DC several years ago, the original blueprint called for more than a half million square feet of space. But after running simulations of its operations at both current levels and with the higher volumes projected for the future, the company found it could cut back the square footage to 320,000 square feet, representing a substantial savings in real estate and capital equipment costs.
In addition, the simulation helped Genesco to consolidate three separate divisions (its retail store operations, its catalog operation and its direct delivery business) under one roof, while balancing the movement of highly seasonal goods and yearly growth of 20 percent. Aside from improving the center's ability to handle seasonal peaks, a new flow design for fast-moving stock-keeping units (SKUs) eliminated the need for replenishment for 50 percent of the company's product lines.
"Internet or direct-to-consumer orders are small one- or two-line orders and your operational costs can eat you alive because of the cost of picking those items," says David Farmer, vice president of sales at Fortna. "There are so many companies out there with multiple distribution channels, whether it's wholesale, retail or direct to consumer. Those orders alone all represent different businesses inside a DC, but simulation will allow you to create a virtual DC with each of those. We run the simulation model several times to capture exactly how the direct-to-consumer goods impact the DC layout, and the same for wholesale and retail. This helps to justify various storage media and layout options. The 'what if' games you can build with this are endless."
Congestion on U.S. highways is costing the trucking industry big, according to research from the American Transportation Research Institute (ATRI), released today.
The group found that traffic congestion on U.S. highways added $108.8 billion in costs to the trucking industry in 2022, a record high. The information comes from ATRI’s Cost of Congestion study, which is part of the organization’s ongoing highway performance measurement research.
Total hours of congestion fell slightly compared to 2021 due to softening freight market conditions, but the cost of operating a truck increased at a much higher rate, according to the research. As a result, the overall cost of congestion increased by 15% year-over-year—a level equivalent to more than 430,000 commercial truck drivers sitting idle for one work year and an average cost of $7,588 for every registered combination truck.
The analysis also identified metropolitan delays and related impacts, showing that the top 10 most-congested states each experienced added costs of more than $8 billion. That list was led by Texas, at $9.17 billion in added costs; California, at $8.77 billion; and Florida, $8.44 billion. Rounding out the top 10 list were New York, Georgia, New Jersey, Illinois, Pennsylvania, Louisiana, and Tennessee. Combined, the top 10 states account for more than half of the trucking industry’s congestion costs nationwide—52%, according to the research.
The metro areas with the highest congestion costs include New York City, $6.68 billion; Miami, $3.2 billion; and Chicago, $3.14 billion.
ATRI’s analysis also found that the trucking industry wasted more than 6.4 billion gallons of diesel fuel in 2022 due to congestion, resulting in additional fuel costs of $32.1 billion.
ATRI used a combination of data sources, including its truck GPS database and Operational Costs study benchmarks, to calculate the impacts of trucking delays on major U.S. roadways.
There’s a photo from 1971 that John Kent, professor of supply chain management at the University of Arkansas, likes to show. It’s of a shaggy-haired 18-year-old named Glenn Cowan grinning at three-time world table tennis champion Zhuang Zedong, while holding a silk tapestry Zhuang had just given him. Cowan was a member of the U.S. table tennis team who participated in the 1971 World Table Tennis Championships in Nagoya, Japan. Story has it that one morning, he overslept and missed his bus to the tournament and had to hitch a ride with the Chinese national team and met and connected with Zhuang.
Cowan and Zhuang’s interaction led to an invitation for the U.S. team to visit China. At the time, the two countries were just beginning to emerge from a 20-year period of decidedly frosty relations, strict travel bans, and trade restrictions. The highly publicized trip signaled a willingness on both sides to renew relations and launched the term “pingpong diplomacy.”
Kent, who is a senior fellow at the George H. W. Bush Foundation for U.S.-China Relations, believes the photograph is a good reminder that some 50-odd years ago, the economies of the United States and China were not as tightly interwoven as they are today. At the time, the Nixon administration was looking to form closer political and economic ties between the two countries in hopes of reducing chances of future conflict (and to weaken alliances among Communist countries).
The signals coming out of Washington and Beijing are now, of course, much different than they were in the early 1970s. Instead of advocating for better relations, political rhetoric focuses on the need for the U.S. to “decouple” from China. Both Republicans and Democrats have warned that the U.S. economy is too dependent on goods manufactured in China. They see this dependency as a threat to economic strength, American jobs, supply chain resiliency, and national security.
Supply chain professionals, however, know that extricating ourselves from our reliance on Chinese manufacturing is easier said than done. Many pundits push for a “China + 1” strategy, where companies diversify their manufacturing and sourcing options beyond China. But in reality, that “plus one” is often a Chinese company operating in a different country or a non-Chinese manufacturer that is still heavily dependent on material or subcomponents made in China.
This is the problem when supply chain decisions are made on a global scale without input from supply chain professionals. In an article in the Arkansas Democrat-Gazette, Kent argues that, “The discussions on supply chains mainly take place between government officials who typically bring many other competing issues and agendas to the table. Corporate entities—the individuals and companies directly impacted by supply chains—tend to be under-represented in the conversation.”
Kent is a proponent of what he calls “supply chain diplomacy,” where experts from academia and industry from the U.S. and China work collaboratively to create better, more efficient global supply chains. Take, for example, the “Peace Beans” project that Kent is involved with. This project, jointly formed by Zhejiang University and the Bush China Foundation, proposes balancing supply chains by exporting soybeans from Arkansas to tofu producers in China’s Yunnan province, and, in return, importing coffee beans grown in Yunnan to coffee roasters in Arkansas. Kent believes the operation could even use the same transportation equipment.
The benefits of working collaboratively—instead of continuing to build friction in the supply chain through tariffs and adversarial relationships—are numerous, according to Kent and his colleagues. They believe it would be much better if the two major world economies worked together on issues like global inflation, climate change, and artificial intelligence.
And such relations could play a significant role in strengthening world peace, particularly in light of ongoing tensions over Taiwan. Because, as Kent writes, “The 19th-century idea that ‘When goods don’t cross borders, soldiers will’ is as true today as ever. Perhaps more so.”
Hyster-Yale Materials Handling today announced its plans to fulfill the domestic manufacturing requirements of the Build America, Buy America (BABA) Act for certain portions of its lineup of forklift trucks and container handling equipment.
That means the Greenville, North Carolina-based company now plans to expand its existing American manufacturing with a targeted set of high-capacity models, including electric options, that align with the needs of infrastructure projects subject to BABA requirements. The company’s plans include determining the optimal production location in the United States, strategically expanding sourcing agreements to meet local material requirements, and further developing electric power options for high-capacity equipment.
As a part of the 2021 Infrastructure Investment and Jobs Act, the BABA Act aims to increase the use of American-made materials in federally funded infrastructure projects across the U.S., Hyster-Yale says. It was enacted as part of a broader effort to boost domestic manufacturing and economic growth, and mandates that federal dollars allocated to infrastructure – such as roads, bridges, ports and public transit systems – must prioritize materials produced in the USA, including critical items like steel, iron and various construction materials.
Hyster-Yale’s footprint in the U.S. is spread across 10 locations, including three manufacturing facilities.
“Our leadership is fully invested in meeting the needs of businesses that require BABA-compliant material handling solutions,” Tony Salgado, Hyster-Yale’s chief operating officer, said in a release. “We are working to partner with our key domestic suppliers, as well as identifying how best to leverage our own American manufacturing footprint to deliver a competitive solution for our customers and stakeholders. But beyond mere compliance, and in line with the many areas of our business where we are evolving to better support our customers, our commitment remains steadfast. We are dedicated to delivering industry-leading standards in design, durability and performance — qualities that have become synonymous with our brands worldwide and that our customers have come to rely on and expect.”
In a separate move, the U.S. Environmental Protection Agency (EPA) also gave its approval for the state to advance its Heavy-Duty Omnibus Rule, which is crafted to significantly reduce smog-forming nitrogen oxide (NOx) emissions from new heavy-duty, diesel-powered trucks.
Both rules are intended to deliver health benefits to California citizens affected by vehicle pollution, according to the environmental group Earthjustice. If the state gets federal approval for the final steps to become law, the rules mean that cars on the road in California will largely be zero-emissions a generation from now in the 2050s, accounting for the average vehicle lifespan of vehicles with internal combustion engine (ICE) power sold before that 2035 date.
“This might read like checking a bureaucratic box, but EPA’s approval is a critical step forward in protecting our lungs from pollution and our wallets from the expenses of combustion fuels,” Paul Cort, director of Earthjustice’s Right To Zero campaign, said in a release. “The gradual shift in car sales to zero-emissions models will cut smog and household costs while growing California’s clean energy workforce. Cutting truck pollution will help clear our skies of smog. EPA should now approve the remaining authorization requests from California to allow the state to clean its air and protect its residents.”
However, the truck drivers' industry group Owner-Operator Independent Drivers Association (OOIDA) pushed back against the federal decision allowing the Omnibus Low-NOx rule to advance. "The Omnibus Low-NOx waiver for California calls into question the policymaking process under the Biden administration's EPA. Purposefully injecting uncertainty into a $588 billion American industry is bad for our economy and makes no meaningful progress towards purported environmental goals," (OOIDA) President Todd Spencer said in a release. "EPA's credibility outside of radical environmental circles would have been better served by working with regulated industries rather than ramming through last-minute special interest favors. We look forward to working with the Trump administration's EPA in good faith towards achievable environmental outcomes.”
Editor's note:This article was revised on December 18 to add reaction from OOIDA.
A Canadian startup that provides AI-powered logistics solutions has gained $5.5 million in seed funding to support its concept of creating a digital platform for global trade, according to Toronto-based Starboard.
The round was led by Eclipse, with participation from previous backers Garuda Ventures and Everywhere Ventures. The firm says it will use its new backing to expand its engineering team in Toronto and accelerate its AI-driven product development to simplify supply chain complexities.
According to Starboard, the logistics industry is under immense pressure to adapt to the growing complexity of global trade, which has hit recent hurdles such as the strike at U.S. east and gulf coast ports. That situation calls for innovative solutions to streamline operations and reduce costs for operators.
As a potential solution, Starboard offers its flagship product, which it defines as an AI-based transportation management system (TMS) and rate management system that helps mid-sized freight forwarders operate more efficiently and win more business. More broadly, Starboard says it is building the virtual infrastructure for global trade, allowing freight companies to leverage AI and machine learning to optimize operations such as processing shipments in real time, reconciling invoices, and following up on payments.
"This investment is a pivotal step in our mission to unlock the power of AI for our customers," said Sumeet Trehan, Co-Founder and CEO of Starboard. "Global trade has long been plagued by inefficiencies that drive up costs and reduce competitiveness. Our platform is designed to empower SMB freight forwarders—the backbone of more than $20 trillion in global trade and $1 trillion in logistics spend—with the tools they need to thrive in this complex ecosystem."