Automated system helps grocery DC make smarter picks
An integrated order picking system has slashed labor costs, boosted throughput, and virtually eliminated errors at KeHe Distributors' new DC. And it used ordinary technologies to do it.
Peter Bradley is an award-winning career journalist with more than three decades of experience in both newspapers and national business magazines. His credentials include seven years as the transportation and supply chain editor at Purchasing Magazine and six years as the chief editor of Logistics Management.
Speed and efficiency are crucial to every DC operation, of course, but the pressure to achieve ever-higher productivity levels is greater in some industries than in others. The grocery business, with its razor thin margins, is a good example. As Craig Turner, vice president of operations for specialty food supplier KeHe Distributors, puts it, "The ability to reduce time and motion in a low-margin environment is extremely important in order to remain competitive in our market."
So it's no surprise that when the company began planning for a new DC in Allentown, Pa., it made productivity a priority. The project was part of a larger DC consolidation effort aimed at eliminating redundant operations. The distributor had already completed a similar project in the Dallas area, combining several operations into a single DC in Dallas. The Allentown distribution center, in turn, would absorb operations from an Albany, N.Y., facility once construction was finished.
At the same time, KeHe began looking into systems that would boost efficiency and make maximum use of capacity in the facilities it would retain. The mission took on particular urgency late last year as the company prepared to acquire competitor Tree of Life—an acquisition it completed this past February.
Tall order
Founded in 1952, Romeoville, Ill.-based KeHe has grown into a $2 billion company today. As one of the largest suppliers of natural and specialty foods, it distributes dry goods, frozen foods, and perishables—about 60,000 SKUs in total—to some 33,000 retail outlets throughout North America and the Caribbean. Its customers include some of the largest food retailers as well as independently owned natural and organic food stores.
Like its counterpart in Dallas, the consolidated Allentown operation would serve both types of customers—the big mass marketers and the independent retailers. As Gene Carter, KeHe's executive vice president of distribution and supply chain, explains: "We wanted to take two environments and combine them in a sort of hybrid DC that would support both specialty and national channel sales."
That had implications for the order picking end of the Allentown operation. To be precise, it meant the facility would have to be able to handle orders for full pallet and full case quantities as well as orders for individual items, or "eaches." And it would have to do it cost-effectively. "We had to improve our throughput sales per square foot, which are now up 50 percent," says Carter. "Reduction of fixed-cost expenses was a priority for us."
It was clear from the outset that one of the key parts of the project would be revamping the facility's each-picking system. In the past, less-than-case order picking had been a manual operation, with workers selecting items from mezzanines and flow racks with paper pick lists. But a more efficient process would be required at the new DC. It was time to automate.
To design and implement an automated each-picking system in Allentown, KeHe called on two partners: Automation Dynamics, a Wylie, Texas-based material handling systems integrator that had overseen a similar project at KeHe's Dallas DC, and Intelligrated, a Mason, Ohio-based firm that designs and produces automated material handling systems.
Turner set the bar high for the design project. The solution had to boost productivity, assure high levels of order accuracy, and do it all efficiently. The DC has a tight window for processing orders, he explains. "When orders are dropped in our environment, we have less than eight hours before the first truck goes out. We cannot waste time chasing a box through the system in order to get a 99.9-percent accuracy rate."
The solution also had to be compact. Intelligrated and Automation Dynamics would have to take an each-pick operation that had filled 50,000 square feet of space and fit it into 20,000 square feet.
On top of that, the design team would have to devise a system that could efficiently handle both fast- and slow-moving items—that is, the 2,000 SKUs that account for 80 percent of the facility's orders as well as tens of thousands of slower movers. Turner sums up the challenge this way: "How were we going to take these eaches and create a dense pick area that did not have to have levels and levels of pick modules?"
Custom package
The solution the team came up with is a customized design that combines pick-to-light technology (which is used in conjunction with flow racks) and carousels. The setup allows the company to use the optimal picking method for each kind of item, Turner says. "We took the carousel system and used that for what I call the long tail, those C and D items that have minimal movement, and integrated it with a multi-level pick-to-light system that handles [the fast-moving SKUs]," he explains.
As for equipment, the system incorporates photo-eye accumulation conveyor, spiral conveyor, and a two-level pick- and put-to-light mezzanine (to take advantage of vertical space). It also includes a warehouse management system (WMS) and eight eight-foot horizontal carousels.
Turner emphasizes that there was much more to the project than just installing the automated equipment. "We did a lot of due diligence on the application of these two technologies," he says. "We didn't just say, 'Let's take a carousel and let's take a pick to light and slap them together,' because that in itself would not be faster than what we were already dealing with. We had to get into the heart of it and actually retool each pick solution."
Orders by the batch
Because the orders handled in Allentown are relatively small, the system designers opted for a batch processing approach. For example, instead of sending a worker with a single order tote through the whole pick-to-light setup, the system is programmed to process multiple orders simultaneously. "We'll go into a zone and scan 12 boxes at a time, and lights will light up for all 12," Turner says. "We'll pick to light, then put to light. A light bar under the conveyor tells the worker which box to drop it into. So we're able to batch pick 12 orders at a time through the entire system."
He adds that the pick-to-light zones are designed with multiple entry and exit points for containers. "If a box is completed, it can exit early, which gets it quickly through the system. It also lets us introduce new boxes with different start points. The selectors can maximize their batches at all times to maintain efficiencies."
KeHe's WMS monitors the picking activity to ensure operations stay on track. For instance, the system is able to recognize immediately if a container is moved out of a zone before picks in that zone for that order have been completed. "It returns the tote back into the zone before it exits the pick-to-light environment so we don't waste time allowing a tote to travel through the whole system before we recognize something is missing," Turner says.
To assure order accuracy, each container automatically undergoes inspection as it leaves the each-pick area. A check-weight system determines if the box is within a small tolerance based on the goods ordered. If it determines a box is out of tolerance, the system diverts it to a control area for further examination. While the box is being weighed, a digital camera snaps a photo of the open container—the average box has about a dozen items—and archives the photo for future reference. "We've seen tremendous improvements in our order accuracy thanks to the various controls installed on this system," Turner says. "It has allowed us to produce nearly perfect orders."
Productivity gains have been substantial as well. "When we were in traditional flow rack with manual picking, [employees] who had been there for 10 years averaged about 110 lines an hour. Now, we're [averaging] three to four times that," Turner says. He adds that another advantage of the pick-to-light system is that minimal training is required. "New employees can now reach this level of productivity and accuracy within a few weeks," he says.
Riding along on a carousel
Orders filled from Allentown's carousel units are also handled in batches, with workers picking into as many as 16 totes at a time. When a container is completed, they move it across cantilevered racks onto the conveyor system for movement through the check-weight system and on to shipping. (In both the pick-to-light and carousel operations, workers pick directly into the shipping containers.)
To avoid having workers wait around while a carousel's bins rotate into position, the system designers programmed the WMS to automatically track how quickly goods are moving and assign the fastest movers to multiple bins. "We balance [the faster-moving items] out among a number of carousels so we're never waiting for a carousel to spin," Turner explains. The result has been a significant uptick in speed. "We are getting 400 lines per hour in an environment where in the past, the best we could do was 110," he says.
In another bid to boost efficiency, the system designers engineered a way to replenish the carousels from the rear. Restocking through the back assures that replenishment operations won't interfere with the picking process.
For all their benefits, the carousels do have one minor drawback. Replenishment requires workers to remove goods from cases before depositing them in the carousel bins, rather than just opening the cases as they did with the flow racks. But that appears to have had a minimal effect on productivity. All in all, the Allentown site has been able to reduce labor by 35 to 40 percent.
Room for expansion
While the carousel and pick-to-light systems deserve most of the credit for the productivity gains at the Allentown DC, the operation has benefited from some minor changes as well. A case in point is a relatively simple change made to the labels that are printed when the WMS "drops" an order. Each label is now color coded by customer via a colored band at the bottom. "We may print customer A in red and customer B in green, so when you go to apply a label, you can quickly match colors rather than having to look at the customer ID number," Turner says. "If you watch someone picking and see a red label on a box on a green pallet, you know there's a mistake. It has helped our quality control."
Now that the new systems are in place, Allentown is ramping up to take on more work. The facility, which ships out about 2,000 totes a day on average, will soon absorb operations from a nearby third-party DC. As business expands, the facility should have no trouble accommodating additional volume. All it has to do is install more levels of carousels and pick-to-light racks.
Asked how the new picking system is working out to date, Carter, Turner, and other company officials say they're delighted with the results. Carter says, "Being able to take an old bit of technology and retool it to a design that is very applicable and very efficient for us, we couldn't be more excited." The gains have been impressive enough, in fact, that KeHe may soon go a step further. The company is considering launching a similar project at its 1 million-square-foot DC in Romeoville, Ill.
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."