Faced with mounting customer demands for swift order turnaround and perfect accuracy, swimsuit manufacturer A.H. Schreiber took a deep breath and invested in an automated labeling and sortation system.
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.
A.H. Schreiber may not be a household name, but millions of women and girls know its products. The privately held company is one of the nation's largest manufacturers and distributors of women's and girls' swimwear, producing some 14 million swimsuits each year under brand names like Badgley Mischka, Beach Native, Delta Burke, and Longitude.
Schreiber distributes all of its swimwear from a 176,000-square-foot distribution center in Bristol, Tenn., shipping about 900,000 cartons each year to customers throughout the country. "We distribute swimwear to virtually anyone who sells it, from the surfside shop to major department stores," says Sandy Nash, the company's warehouse manager.
For years, the company relied on manual processes to fill all of those orders, literally lining up cartons on the floor and sending workers around to apply shipping labels by hand. But about three years ago, it realized that would no longer be enough to keep up with the demands of one of its largest customers, Target.
Like most retailers, Target expects its suppliers to conform to strict specifications when it comes to labeling and delivering shipments to its 26 DCs, and it requires swift turnaround of even the largest, most complex orders. As Schreiber struggled to comply with all of Target's demands, its overtime costs soared and accuracy began to suffer. It was clear that the company was going to have to make some changes.
Man vs. machine Although the swimwear maker was fully committed to meeting Target's demands, the Schreiber team knew it wouldn't be easy. Schreiber ships a total of eight to 10 trailerloads to Target a week— sending shipments three times a week during peak season and twice weekly the rest of the time. Turnaround times are tight: From the time Target sends the Schreiber corporate office an order, the company has just three days to the ship date. "We receive pick tickets on Monday and ship Wednesday, or we receive pick tickets on Wednesday and ship Friday," Nash says. "We know the destination at that time, but we do not know which DCs' [orders] will be combined together in a load until later in the process."
The tight deadlines put a lot of stress on Schreiber's order fulfillment operation. "Our old method of handling Target orders was to actually pull all the product and line it up on the floor," Nash says. "It took up a tremendous amount of floor space. We would have people taking labels and going skid to skid applying labels to cartons and transferring the cartons to another skid. To accomplish this required a lot of people and a lot of overtime."
The manual system also led to mislabeling, which resulted in chargebacks from the customer. "We had to be faster and more accurate," Nash says.
To address these problems, Schreiber decided to invest in an automated labeling and sortation system to handle the Target orders. Nash is candid about the reasoning. "Any time you use a machine instead of a person, you become more reliable and accurate, and you save on labor," he says.
After reviewing its options, the company decided to go with a compliance labeling and carton sortation system from Cornerstone Automation Systems Inc., or CASI. The system provides automatic shipping labeling, a software interface to Schreiber's software management system, and sortation software plus hardware that includes accumulation conveyor, scanners, a bi-directional heavy-duty case sortation system, and label applicators.
The system was installed about three years ago.
Scan, sort, repeat Today, Target's orders flow smoothly through the facility with minimal human intervention. Orders received from the retailer are released from Schreiber's homegrown enterprise resource planning (ERP) system to the CASI system. The Schreiber system produces a separate pick ticket for each destination DC. Workers scan the cartons as they place them onto an accumulation conveyor, where the cartons are staged in zones ahead of the labeling section. The system spaces the cartons for optimum system speed and squares up the cartons to ensure proper label application.
In-line scanners read the Schreiber bar code and send that information back to the ERP system, which then identifies the product and relays the information to the printer. The printer produces a Uniform Code Council (UCC) 128 compliance bar-code label in the customer's preferred format and applies it according to the customer's requirements. (In Target's case, that means that on cartons less than five inches tall, the label must be applied one inch from the bottom.) Another scanner reads the label to ensure it is legible and in the right location.
The cartons then move to the sorter, where they are diverted onto a gravity conveyor to one of eight outbound lanes.
Each of those lanes is set up for three Target distribution centers.
Going for an A To date, Schreiber has realized multiple benefits from the CASI system. To begin with, accuracy problems are history, says Nash. "Now, the carton is automatically routed to the correct DC, and we have the correct labels with the correct products," he says. "We have seen a reduction in chargebacks. We have also seen a side benefit. When we had hand-applied labels, it took half a day just to print the labels." Installing the machines has shortened and simplified the process, he reports.
Along with boosting accuracy, the new system has enabled Schreiber to reduce both headcount and overtime. The savings in labor and compliance costs from the Target account alone paid for the system in less than two years, according to Nash.
Based on its positive experience with the Target orders, A.H. Schreiber recently expanded the system to include orders from JC Penney, another major customer. Penney, Nash says, is in some ways more demanding than Target. Because of the way the company's transportation management system (TMS) handles routing, Schreiber has about 24 hours to turn around an order.
Adding Penney to the system required some modification. For example, Schreiber had to add another in-line printer that could apply a label to the top of a carton (as opposed to the side) to meet Penney's requirements.
Incorporating Penney's orders into the system also slowed the operation down. The system had initially handled about 20 cartons a minute, or about 1,200 per hour, Nash says. Modifications made to the system to accommodate the Penney orders have cut that to about 800 an hour. Even so, Nash remains pleased with the performance of the CASI system, which now handles about 20 percent of the DC's total output. And he considers the equipment purchased to meet Penney's needs to be money well spent. In fact, Nash is certain that Schreiber got a return on that investment in the current peak shipping season (which runs roughly from the end of November through June).
Beyond the monetary savings, Nash sees one further benefit to using the CASI system that's not easily quantified but may prove to be the most important of all: customer retention. "We have report cards with every customer," he says, referring to the retailers' practice of grading suppliers on compliance. "We want to be an A supplier." Nash explains that in the high-stakes retail business, earning top marks is more than a matter of pride. At a time when some retailers are eliminating their third- and fourth-tier suppliers, good compliance scores can be essential to keeping the business.
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."