To hear their managers tell it, america's dcs are getting better all the time. Asked how well their DCs are doing today, respondents to our third annual metrics survey offered an upbeat picture of facilities where the commitment to service is strong, the operating stats are good looking, and performance is above average, to borrow a phrase from a popular public radio program.
The numbers appear to bear them out. The results of the study, which was conducted among members of the Warehousing Education and Research Council (WERC) and readers of DC VELOCITY, did indeed indicate improvement over the 2005 study's findings. When asked how their customers rated their DCs' performance in five key service areas—including percentage of "perfect" orders—respondents overwhelmingly reported that their clients thought they were doing an average or above average job.
But when we examined the data more closely, a somewhat different picture emerged. For example, we ran some calculations to see how closely respondents' perceptions matched their actual performance against the Perfect Order Index. The results showed that some of those "perfect orders" weren't so perfect after all.
DC performance was only one of many subjects covered in the 2006 survey, which was conducted by Georgia Southern University and Supply Chain Visions. The study also collected data on what activities DC managers measure and how they measure them, which we then analyzed by type of industry, supply chain structure, and overall corporate strategy. (Download a copy of the full results of the 2006 survey.)
Annual performance review
So how well are America's DCs performing these days? It appears that they're continuing to make strides. Operating statistics provided by the survey respondents confirmed that DC performance in 2006 compared favorably to 2005's. As Exhibit 1 shows, performance (as measured against 14 key metrics) either held steady or improved. In only one case (units picked per hour) did performance dip. More encouraging still, the areas where improvements were made all centered on customer service: percentage of orders shipped complete, average time from order placement to order shipment, fill rate per line, order fill rate, and order picking accuracy. But that's only part of the story. Comparing a DC's performance against benchmarks—whether industry averages or "best practices"—provides an incomplete picture of its service at best. The true test is how the customer perceives the service.
To learn as much as possible about how well DCs are serving their customers, we used two different data-gathering approaches—one direct and one not so direct. The first was to simply ask respondents how their customers rated their DCs' performance. To be precise, the survey asked them to indicate how their customers viewed their performance in five key customer-focused areas—fill rate, ontime delivery, percentage of orders shipped complete, percentage of accurate invoices, and percentage of perfect orders. The responses proved to be a model of consistency. In every case, close to 80 percent of the respondents said their customers considered their performance to be either "average" or "above average."
Statistically, of course, it's highly improbable that 80 percent are actually performing at an average or above-average level. But it's not impossible. It seems safe to assume that the study's respondent base—members of a professional association like WERC and/or regular readers of professional journals like DC VELOCITY—is skewed toward the highest-performing segment of the industry.
It's also possible, however, that some of the respondents have stumbled into what we call the 50-percent trap. To explain the 50-percent trap, we like to use the analogy of how parents interpret their children's grades.
When presented with an all-Bs report card, most parents assume that their offspring are average, if not above-average, students. But that's not a realistic assumption.
In any given class, 50 percent of all students perform at an above-average level and 50 percent below average. It's unlikely, however, that half the class is receiving As or Bs and the other half Cs or Fs; the grades are far more likely to be clustered in the middle. So while parents may think their B students are average, the reality is that the B, and particularly the B minus, students are actually performing well below the 50th percentile mark.
And so it may be with warehouse or DC performance. Managers may not be aware of it (or willing to admit it), but the fact remains that nationwide, 50 percent of all facilities— though perhaps not those represented in our survey—are performing below the midpoint level.
The POI doesn't lie
Recognizing that the respondents might have difficulty providing an objective assessment, we also tried a second, less direct, approach to determining how well DCs are serving their customers. Using the performance data respondents had provided, we calculated the respondents' compos- ite score on what's known as the Perfect Order Index (POI).
The Perfect Order Index is a widely recognized measure that incorporates four critical customer service elements: order completeness, timeliness, condition and documentation. In other words, to be considered perfect, an order must arrive complete, be delivered on time, arrive free of damage, and be accompanied by the correct invoice and other documentation.
To calculate a given company's score on the Perfect Order Index, you simply take those four metrics (expressed as percentages) and multiply them together. For instance, a supplier that ships 95 percent of its orders complete, 95 percent on time, 95 percent damage-free and with the correct documentation 95 percent of the time would earn a score of 81.5 percent (95 x 95 x 95 x 95).
So how did the respondents' DCs score on the Perfect Order Index? As Exhibit 2 shows, the composite results were a less-than-perfect 84.46 percent. What this means is that slightly more than 15 percent of all orders shipped are marred by some sort of failure.
What's "on time" anyway?
As for what accounts for those "failures," the survey data suggest that part of the problem may be confusion (or disagreement) among DCs and their customers about whether orders are "on time" or not. It may sound like a simple enough determination, but our survey indicates otherwise.
To begin with, there's the distinction between shipped on time and delivered on time. DCs are much more likely to interpret "on time" as meaning shipped on time than delivered on time. That stands to reason. It's far easier for a DC to document when an order leaves its dock than to obtain reliable data on when it's delivered.
Customers, however, look at it differently. They're not so much interested in when an order leaves the supplier's dock or what happens to it along the way as in when it arrives. For most customers, "on time" means delivered on time. But even if DCs could be persuaded to abandon the "ontime shipment" metric in favor of "on-time delivery," there's still another problem. Even the customers themselves don't agree on what constitutes an "on-time" delivery. Nearly 69 percent of the survey respondents reported that their various customers defined "on-time delivery" differently.
How much variation could there be? Quite a bit, it seems. As Exhibit 3 shows, customers define "on time" at least six dif- ferent ways. The majority of the respon- dents (63.1 percent) reported that their cus- tomers considered a shipment to be on time if it arrived on the requested or agreed-upon day. But other clients seem to be much more exacting. For example, for 26.9 percent, "on time" means delivery within 30 minutes of the appointed time. And for 4.3 percent, it means delivery within 15 minutes of the appointed time. Still others define "on time" as "No line down time" or "By 4: 00 p.m." All this variation may go a long way toward explaining why suppliers sometimes have difficulty delivering "on time."
Room for improvement
Overall, what we see from this survey is encouraging. It appears that more companies are concentrating on their performance against customer-focused metrics than in the past, and that their performance against those metrics is improving.
But the survey also indicates that some DCs, at least, may not be performing as well as they think they are. To those DCs, we recommend taking the following three steps to improve performance:
Broaden your perspective to include measures that are strategic/cross functional in nature and that focus on the customer's perception rather than your own internal measures.
Accept that no company can be "best" at all things. Almost everyone turns in "below average" performance in one area or another.
Make an honest attempt to assess your operations from the customer's point of view. Keep in mind that the "aver- age" performance you might have thought was a "B" is real- ly a "D."
Our second call to action is to urge industry groups to get involved. Associations can provide a valuable service to their members by working with their constituencies to gather and disseminate benchmark data.
In the meantime, we invite readers' comments, suggestions, and insights into the research and their own use of performance metrics. We can be reached by e-mail: Karl B. Manrodt at Kmanrodt@georgiasouthern.edu, Kate L. Vitasek at kate@scvisions.com.
a look at the survey respondents
Talk about a study in contrasts. Last year, 380 DC executives responded to our annual metrics survey. This year, the total was a whopping 900. Almost as soon as the survey invitations went out, replies began pouring in from DC executives across the country. The response was particularly strong among C-level executives. The percentage of top executives (senior vice presidents, CEOs, CFOs and presidents) participating in the survey soared to more than 27 this year, compared to 11.4 last year.
What accounted for the difference? The survey's length may have been a factor. Last year's questionnaire asked respondents to rate their DCs' performance against a set of 55 metrics. This year, we cut the number of metrics to a more manageable 35, and the response rate more than doubled. Coincidence? We think not.
As for the respondents themselves, they came from companies of all sizes across a wide range of industries. Exactly half said they worked in manufacturing/distribution. Just over a quarter (26 percent) came from the third-party warehousing industry, and 13 percent reported that they worked in the retail industry. The remainder were scattered across other sectors: carriers, utilities, life sciences and the government.
The survey also asked respondents to indicate their "location" in the supply chain—that is, whether their direct customers were end users, retailers, distributors/wholesalers, or manufacturers. As it turned out, most were either at or very close to the end of the chain. Roughly 60 percent indicated that their customers were either retailers or the products' end users. Some 20.1 percent reported that their primary customers were manufacturers, and the remaining 21.6 percent sold to distributors.
In terms of company size, the respondents' businesses turned out to be equally distributed among the survey's size categories. About onethird worked for businesses reporting annual sales of less than $100 million, about one-third reported that their companies' sales fell into the $100 million to $500 million range, and the remaining third reported sales in excess of $500 million.
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."