The Journal of Business Logistics (JBL), published by the Council of Supply Chain Management Professionals (CSCMP), is recognized as one of the world's leading academic supply chain journals. But sometimes it may be hard for practitioners to see how the research presented in its pages applies to what they do on a day-to-day basis. To help bridge that gap, CSCMP's Supply Chain Quarterly challenges the authors of selected JBL articles to explain the real-world implications of their academic research.
THE ARTICLE "Just-in-time retail distribution: A systems perspective on cross-docking," by Paul Buijs of the University of Groningen, Hans W. Danhof of the Dutch retailer Blokker, and J. (Hans) C. Wortmann of the University of Groningen. Published in the September 2016 issue of the Journal of Business Logistics.
THE UPSHOT
Cross-docking—the process of moving goods through the distribution network without placing them in stored inventory at a distribution center—typically involves moving products from an inbound trailer directly to an outbound trailer or temporarily storing them on the floor before shipping them out. Cross-docking improves the processing speed of a distribution network while also reducing the amount of inventory it needs to hold.
Many companies, however, struggle to effectively implement cross-docking strategies. One of the main reasons is that most have implemented cross-docking without changing their organizational structure or metrics. Most supply chain literature agrees that the best approach is a holistic one, where cross-docking operations are not only synchronized with inbound and outbound logistics processes but also are managed by the same people with the same or similar performance metrics.
But this does not often happen. Managers who oversee cross-docking operations typically are not also involved in external logistics processes, and the metrics they use focus only on internal efficiencies, such as the distance traveled by material handling equipment in the distribution center.
In this article, the authors sought to prove the extent to which a holistic approach to cross-docking provides a significant advantage over a more localized approach focused only on the distribution center. To accomplish this, they worked with a major retailer in the Netherlands to identify cross-docking improvement opportunities. The two possibilities they studied were 1) whether to change the dock-door assignment policy; and 2) whether the retailer should cluster and sort loads bound for the same store at the cross-dock itself or at a facility farther upstream in the distribution network. They also used simulation software to determine which would create a bigger impact: focusing on local optimization, or focusing on networkwide optimization. As part of that process, the authors discovered that the retailer's current metrics were not fully communicating the benefits of a holistic approach. To address that shortcoming, they developed new metrics, borrowing from concepts used in lean manufacturing.
Dr. Paul Buijs, the lead author, spoke with Supply Chain Quarterly about what these findings could mean for companies that are currently using cross-docking or are thinking of implementing the technique.
What issues were you seeking to explore through this research?
We saw that most of the benefits of cross-docking are lower inventory levels. But the lower inventory levels also form the main challenge of cross-docking. Due to the low inventory levels, a much tighter coupling arises between the logistics inside the distribution center and the inbound and outbound logistics networks. We also saw that both the academic research as well as practitioners' own strategies were geared mostly toward optimizing the operations that take place locally—in other words, how to improve cross-docking operations at the distribution center itself. But due to the tight coupling between the local cross-docking operations and the network logistics, there is only so much [benefit] you can [achieve] when you have this localized focus.
Our main message is that future efforts should be geared toward addressing cross-docking from a holistic perspective where we consider local and network considerations together. But first we wanted to empirically verify this claim. Then we also set out to provide a detailed example of what firms could actually do with this holistic approach, what it generally implies for managers, and how they can adopt it.
Your paper presents a case study of a large retailer in the Netherlands. Why did you choose to focus on this particular retailer?
First of all, this retailer is one of the largest international grocery retailers, and it's considered a leader in how it's organizing its distribution. Cross-docking forms a central part of the company's distribution strategy. And at the time we started this research, the retailer was planning a major change in its distribution network. Although that change did not actually relate to cross-docking, it offered a very good opportunity to propose and test some distribution network changes that we thought could improve cross-docking from a systemic or networkwide perspective.
On top of that, one of the warehouse managers at the retailer was willing to cooperate with us in proposing and testing a change for a local cross-dock improvement effort. This provided a rather unique opportunity to gather empirical data to support the call for a more holistic approach to cross-docking.
What makes the performance metrics you propose in the paper different from the traditional metrics used by cross-docking distribution centers?
Metrics was one of the key things that drove this research. We believed that because cross-docking is all about reducing inventory and improving flow, it has a close analogy with lean manufacturing. It therefore also makes sense to make this link with performance metrics.
What emerged during our research is that there was a lack of performance metrics that would trigger management to look at cross-docking more holistically. Cross-docking operations are managed according to traditional warehousing principles, where one manager would be responsible for operations inside the distribution center and another one for the transportation or other logistics at the network level. On top of that, each of those managers would have his or her own set of metrics geared toward either localized performance or networkwide performance.
With these existing metrics, it was very hard for us to convey the need for the changes that we were proposing to the retailer. So we added some performance metrics inspired by "lean" and just-in-time manufacturing that focused on the flow of the loads and work-in-progress throughout the distribution network. An example would be that we kept track of the number of in-process loads that were on-site at the cross-dock, which translates into the work-in-progress metric from lean manufacturing. We also tracked the life span of loads throughout the cross-docking systems [how long it takes a load to go through the distribution network as a whole], which gives an indication more or less of the flow.
We also used more traditional metrics because we felt we could relate more easily to the managers using their own metrics. An example of a traditional metric that we incorporated was the travel distance covered by the material handlers inside the cross-dock. The less time material handlers have to travel, the more efficient the cross-dock operations are considered to be by managers.
How can companies use this information to improve their own cross-docking operations?
Our study shows that while local improvement efforts for cross-docking can be very effective at making the operations inside the distribution center more efficient, the impact of these improvements from a systemwide performance perspective can actually be quite limited.
On the other end, our paper shows that even minor changes in the network design could result in considerable systemwide performance improvements. The network design change studied in our paper involved changing the location at which loads are clustered and sorted for store delivery; that is, from the distribution center to one facility farther upstream in the distribution network. This is just one example of just one kind of networkwide change that could seriously benefit cross-docking performance.
The paper also shows that changes at the network level affect another type of performance metric—metrics that not many firms currently use in cross-docking. Without such metrics, many opportunities to improve operations may go unnoticed. We provide just a few examples of metrics that would reveal these opportunities, such as the number of load carriers [wheeled equipment for moving cases] on-site or how long it takes for the load carriers to move through the distribution network. The data for these measures are typically already available in a firm's existing warehouse management system.
What is the key takeaway from your research for practitioners?
First and foremost, we empirically verified, and therefore stressed, the importance of taking a holistic approach to cross-docking. But in order to take this approach, cross-dock management needs to be organized differently. Firms could consider changing the way management responsibilities around cross-docking are organized. They could also consider adopting new performance metrics that better reflect the holistic approach to cross-docking.
When you have functional silos, with managers who are responsible for internal operations and managers who are responsible for network operations, and they each have their own metrics, it's quite hard to make cross-docking happen efficiently. So a key takeaway is that you need to organize cross-docking differently to see the opportunities and then to seize them.
TO READ THE FULL ARTICLE ...
As a member benefit, CSCMP members can access articles in the Journal of Business Logistics at no charge. To request access to this and other JBL articles, send a request via e-mail to cscmppublications@cscmp.org.
In a statement, DCA airport officials said they would open the facility again today for flights after planes were grounded for more than 12 hours. “Reagan National airport will resume flight operations at 11:00am. All airport roads and terminals are open. Some flights have been delayed or cancelled, so passengers are encouraged to check with their airline for specific flight information,” the facility said in a social media post.
An investigation into the cause of the crash is now underway, being led by the National Transportation Safety Board (NTSB) and assisted by the Federal Aviation Administration (FAA). Neither agency had released additional information yet today.
First responders say nearly 70 people may have died in the crash, including all 60 passengers and four crew on the American Airlines flight and three soldiers in the military helicopter after both aircraft appeared to explode upon impact and fall into the Potomac River.
Editor's note:This article was revised on February 3.
Artificial intelligence (AI) and the economy were hot topics on the opening day of SMC3 Jump Start 25, a less-than-truckload (LTL)-focused supply chain event taking place in Atlanta this week. The three-day event kicked off Monday morning to record attendance, with more than 700 people registered, according to conference planners.
The event opened with a keynote presentation from AI futurist Zack Kass, former head of go to market for OpenAI. He talked about the evolution of AI as well as real-world applications of the technology, furthering his mission to demystify AI and make it accessible and understandable to people everywhere. Kass is a speaker and consultant who works with businesses and governments around the world.
The opening day also featured a slate of economic presentations, including a global economic outlook from Dr. Jeff Rosensweig, director of the John Robson Program for Business, Public Policy, and Government at Emory University, and a “State of LTL” report from economist Keith Prather, managing director of Armada Corporate Intelligence. Both speakers pointed to a strong economy as 2025 gets underway, emphasizing overall economic optimism and strong momentum in LTL markets.
Other highlights included interviews with industry leaders Chris Jamroz and Rick DiMaio. Jamroz is executive chairman of the board and CEO of Roadrunner Transportation Systems, and DiMaio is executive vice president of supply chain for Ace Hardware.
Jump Start 25 runs through Wednesday, January 29, at the Renaissance Atlanta Waverly Hotel & Convention Center.
Overall disruptions to global supply chains in 2024 increased 38% from the previous year, thanks largely to the top five drivers of supply chain disruptions for the year: factory fires, labor disruption, business sale, leadership transition, and mergers & acquisitions, according to a study from Resilinc.
Factory fires maintained their position as the number one disruption for the sixth consecutive year, with 2,299 disruption alerts issued. Fortunately, this number is down 20% from the previous year and has declined 36% from the record high in 2022, according to California-based Resilinc, a provider of supply chain resiliency solutions.
Labor disruptions made it into the top five list for the second year in a row, jumping up to the second spot with a 47% year-over-year increase following a number of company and site-level strikes, national strikes, labor protests, and layoffs. From the ILA U.S. port strike, impacting over 47,000 workers, and the Canadian rail strike to major layoffs at tech giants Intel, Dell, and Amazon, labor disruptions continued its streak as a key risk area for 2024.
And financial risk areas, including business sales, leadership transitions, and mergers and acquisitions, rounded out the top five disruptions for 2024. While business sales climbed a steady 17% YoY, leadership transitions surged 95% last year. Several notable transitions included leadership changes at Boeing, Nestlé, Pfizer Limited, and Intel. While mergers and acquisitions saw a slight decline of 5%, they remained a top disruption for 2024.
Other noteworthy trends highlighted in the data include a 146% rise in labor violations such as forced labor, poor working conditions, and health and safety violations, among others. Geopolitical risk alerts climbed 123% after a brief dip in 2023, and protests/riots saw an astounding 285% YoY increase, marking the largest growth increase of all risk events tracked by Resilinc. Regulatory change alerts, which include tariffs, changes in laws, environmental regulations, and bans, continued their upward trend with a 128% YoY increase.
The five most disrupted industries included: life sciences, healthcare, general manufacturing, high tech, and automotive, marking the fourth year in a row that those particular industries have been the most impacted.
Resilinc gathers its data through its 24/7 global event monitoring Artificial Intelligence, EventWatch AI, which collects information and monitors news on 400 different types of disruptions across 104 million sources including traditional news sources, social media platforms, wire services, videos, and government reports. Annually, the AI contextualizes and analyzes nearly 5 billion data feeds across 100 languages in 200 countries.
Cargo theft activity across the United States and Canada reached unprecedented levels in 2024, with 3,625 reported incidents representing a stark 27% increase from 2023, according to an annual analysis from CargoNet.
The estimated average value per theft also rose, reaching $202,364, up from $187,895 in 2023. And the increase was persistent, as each quarter of 2024 surpassed previous records set in 2023.
According to Cargonet, the data suggests an evolving and increasingly sophisticated threat landscape in cargo theft, with criminal enterprises demonstrating tactical adaptability in both their methods and target selection.
For example, notable shifts occurred in targeted commodities during 2024. While 2023 saw frequent theft of engine oils, fluids, solar energy products, and energy drinks, 2024 marked a strategic pivot by criminal enterprises. New targets included raw and finished copper products, consumer electronics (particularly audio equipment and high-end servers), and cryptocurrency mining hardware. The analysis also revealed increased targeting of specific consumable goods, including produce like avocados and nuts, along with personal care products ranging from cosmetics to vitamins and supplements, especially protein powder.
Geographic trends show California and Texas experiencing the most significant increases in theft activity. California reported a 33% rise in incidents, while Texas saw an even more dramatic 39% surge. The five most impacted counties all reported substantial increases, led by Dallas County, Texas, with a 78% spike in reported incidents. Los Angeles County, California, traditionally a high-activity area, saw a 50% increase while neighboring San Bernardino County experienced a 47% rise.
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.”