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.
Autonomous forklift maker Cyngn is deploying its DriveMod Tugger model at COATS Company, the largest full-line wheel service equipment manufacturer in North America, the companies said today.
By delivering the self-driving tuggers to COATS’ 150,000+ square foot manufacturing facility in La Vergne, Tennessee, Cyngn said it would enable COATS to enhance efficiency by automating the delivery of wheel service components from its production lines.
“Cyngn’s self-driving tugger was the perfect solution to support our strategy of advancing automation and incorporating scalable technology seamlessly into our operations,” Steve Bergmeyer, Continuous Improvement and Quality Manager at COATS, said in a release. “With its high load capacity, we can concentrate on increasing our ability to manage heavier components and bulk orders, driving greater efficiency, reducing costs, and accelerating delivery timelines.”
Terms of the deal were not disclosed, but it follows another deployment of DriveMod Tuggers with electric automaker Rivian earlier this year.
Manufacturing and logistics workers are raising a red flag over workplace quality issues according to industry research released this week.
A comparative study of more than 4,000 workers from the United States, the United Kingdom, and Australia found that manufacturing and logistics workers say they have seen colleagues reduce the quality of their work and not follow processes in the workplace over the past year, with rates exceeding the overall average by 11% and 8%, respectively.
The study—the Resilience Nation report—was commissioned by UK-based regulatory and compliance software company Ideagen, and it polled workers in industries such as energy, aviation, healthcare, and financial services. The results “explore the major threats and macroeconomic factors affecting people today, providing perspectives on resilience across global landscapes,” according to the authors.
According to the study, 41% of manufacturing and logistics workers said they’d witnessed their peers hiding mistakes, and 45% said they’ve observed coworkers cutting corners due to apathy—9% above the average. The results also showed that workers are seeing colleagues take safety risks: More than a third of respondents said they’ve seen people putting themselves in physical danger at work.
The authors said growing pressure inside and outside of the workplace are to blame for the lack of diligence and resiliency on the job. Internally, workers say they are under pressure to deliver more despite reduced capacity. Among the external pressures, respondents cited the rising cost of living as the biggest problem (39%), closely followed by inflation rates, supply chain challenges, and energy prices.
“People are being asked to deliver more at work when their resilience is being challenged by economic and political headwinds,” Ideagen’s CEO Ben Dorks said in a statement announcing the findings. “Ultimately, this is having a determinantal impact on business productivity, workplace health and safety, and the quality of work produced, as well as further reducing the resilience of the nation at large.”
Respondents said they believe technology will eventually alleviate some of the stress occurring in manufacturing and logistics, however.
“People are optimistic that emerging tech and AI will ultimately lighten the load, but they’re not yet feeling the benefits,” Dorks added. “It’s a gap that now, more than ever, business leaders must look to close and support their workforce to ensure their staff remain safe and compliance needs are met across the business.”
The “2024 Year in Review” report lists the various transportation delays, freight volume restrictions, and infrastructure repair costs of a long string of events. Those disruptions include labor strikes at Canadian ports and postal sites, the U.S. East and Gulf coast port strike; hurricanes Helene, Francine, and Milton; the Francis Scott key Bridge collapse in Baltimore Harbor; the CrowdStrike cyber attack; and Red Sea missile attacks on passing cargo ships.
“While 2024 was characterized by frequent and overlapping disruptions that exposed many supply chain vulnerabilities, it was also a year of resilience,” the Project44 report said. “From labor strikes and natural disasters to geopolitical tensions, each event served as a critical learning opportunity, underscoring the necessity for robust contingency planning, effective labor relations, and durable infrastructure. As supply chains continue to evolve, the lessons learned this past year highlight the increased importance of proactive measures and collaborative efforts. These strategies are essential to fostering stability and adaptability in a world where unpredictability is becoming the norm.”
In addition to tallying the supply chain impact of those events, the report also made four broad predictions for trends in 2025 that may affect logistics operations. In Project44’s analysis, they include:
More technology and automation will be introduced into supply chains, particularly ports. This will help make operations more efficient but also increase the risk of cybersecurity attacks and service interruptions due to glitches and bugs. This could also add tensions among the labor pool and unions, who do not want jobs to be replaced with automation.
The new administration in the United States introduces a lot of uncertainty, with talks of major tariffs for numerous countries as well as talks of US freight getting preferential treatment through the Panama Canal. If these things do come to fruition, expect to see shifts in global trade patterns and sourcing.
Natural disasters will continue to become more frequent and more severe, as exhibited by the wildfires in Los Angeles and the winter storms throughout the southern states in the U.S. As a result, expect companies to invest more heavily in sustainability to mitigate climate change.
The peace treaty announced on Wednesday between Isael and Hamas in the Middle East could support increased freight volumes returning to the Suez Canal as political crisis in the area are resolved.
The French transportation visibility provider Shippeo today said it has raised $30 million in financial backing, saying the money will support its accelerated expansion across North America and APAC, while driving enhancements to its “Real-Time Transportation Visibility Platform” product.
The funding round was led by Woven Capital, Toyota’s growth fund, with participation from existing investors: Battery Ventures, Partech, NGP Capital, Bpifrance Digital Venture, LFX Venture Partners, Shift4Good and Yamaha Motor Ventures. With this round, Shippeo’s total funding exceeds $140 million.
Shippeo says it offers real-time shipment tracking across all transport modes, helping companies create sustainable, resilient supply chains. Its platform enables users to reduce logistics-related carbon emissions by making informed trade-offs between modes and carriers based on carbon footprint data.
"Global supply chains are facing unprecedented complexity, and real-time transport visibility is essential for building resilience” Prashant Bothra, Principal at Woven Capital, who is joining the Shippeo board, said in a release. “Shippeo’s platform empowers businesses to proactively address disruptions by transforming fragmented operations into streamlined, data-driven processes across all transport modes, offering precise tracking and predictive ETAs at scale—capabilities that would be resource-intensive to develop in-house. We are excited to support Shippeo’s journey to accelerate digitization while enhancing cost efficiency, planning accuracy, and customer experience across the supply chain.”
Donald Trump has been clear that he plans to hit the ground running after his inauguration on January 20, launching ambitious plans that could have significant repercussions for global supply chains.
As Mark Baxa, CSCMP president and CEO, says in the executive forward to the white paper, the incoming Trump Administration and a majority Republican congress are “poised to reshape trade policies, regulatory frameworks, and the very fabric of how we approach global commerce.”
The paper is written by import/export expert Thomas Cook, managing director for Blue Tiger International, a U.S.-based supply chain management consulting company that focuses on international trade. Cook is the former CEO of American River International in New York and Apex Global Logistics Supply Chain Operation in Los Angeles and has written 19 books on global trade.
In the paper, Cook, of course, takes a close look at tariff implications and new trade deals, emphasizing that Trump will seek revisions that will favor U.S. businesses and encourage manufacturing to return to the U.S. The paper, however, also looks beyond global trade to addresses topics such as Trump’s tougher stance on immigration and the possibility of mass deportations, greater support of Israel in the Middle East, proposals for increased energy production and mining, and intent to end the war in the Ukraine.
In general, Cook believes that many of the administration’s new policies will be beneficial to the overall economy. He does warn, however, that some policies will be disruptive and add risk and cost to global supply chains.
In light of those risks and possible disruptions, Cook’s paper offers 14 recommendations. Some of which include:
Create a team responsible for studying the changes Trump will introduce when he takes office;
Attend trade shows and make connections with vendors, suppliers, and service providers who can help you navigate those changes;
Consider becoming C-TPAT (Customs-Trade Partnership Against Terrorism) certified to help mitigate potential import/export issues;
Adopt a risk management mindset and shift from focusing on lowest cost to best value for your spend;
Increase collaboration with internal and external partners;
Expect warehousing costs to rise in the short term as companies look to bring in foreign-made goods ahead of tariffs;
Expect greater scrutiny from U.S. Customs and Border Patrol of origin statements for imports in recognition of attempts by some Chinese manufacturers to evade U.S. import policies;
Reduce dependency on China for sourcing; and
Consider manufacturing and/or sourcing in the United States.
Cook advises readers to expect a loosening up of regulations and a reduction in government under Trump. He warns that while some world leaders will look to work with Trump, others will take more of a defiant stance. As a result, companies should expect to see retaliatory tariffs and duties on exports.
Cook concludes by offering advice to the incoming administration, including being sensitive to the effect retaliatory tariffs can have on American exports, working on federal debt reduction, and considering promoting free trade zones. He also proposes an ambitious water works program through the Army Corps of Engineers.