Site selection for a new distribution center has always been influenced by local costs and constraints. Now companies also need to consider global trends.
John H. Boyd (jhb@theboydcompany.com) is founder and principal of The Boyd Co. Inc. Founded in 1975 in Princeton, New Jersey, and now based in Boca Raton, Florida, the firm provides independent site selection counsel to leading U.S. and overseas corporations.
Organizations served by Boyd over the years include The World Bank, The Council of Supply Chain Management Professionals (CSCMP), The Aerospace Industries Association (AIA), MIT’s Work of the Future Project, UPS, Canada's Privy Council, and most recently, the President’s National Economic Council providing insights on policies to reduce supply chain bottlenecks.
Where to locate a new distribution center (DC) is one of the most demanding and far-reaching decisions that a logistics executive will ever make. A less-than-optimum location will result in higher costs and put the company at a competitive disadvantage that could persist for years. To choose the best location and avoid these risks, companies must consider not only local but also global factors that will affect the cost of getting their goods to their customers.
When situating a DC in the United States, not all locations are equal in terms of cost. A 2012 BizCosts.com study shows significant cost variances among surveyed DC sites (see Figure 1). These figures are based on a hypothetical 150-worker distribution center occupying 450,000 square feet and serving a national market. A comparison of a Meadowlands/Northern New Jersey DC site vis-à-vis an Indianapolis location, for example, shows a total annual cost differential of 29 percent, favoring Indianapolis. Costs in the BizCosts.com analysis include labor, construction, taxes, utilities, and over-the-road shipping in truckload lots.
One factor that has a major impact on a DC's operating cost is over-the-road shipping. Shipping currently represents the largest single cost factor in the supply chain, far outdistancing real estate and rent costs, and these costs do not look like they will go down anytime soon. Our site selection firm is projecting trucking costs will rise 5.0 to 5.5 percent this year. Carrier margins are under intense pressure from rising driver wages and health insurance premiums, increased fuel cost, and required environmental equipment upgrades. These factors will force carriers to raise rates just to stay afloat.
Transportation costs are particularly steep in California, a key state for many companies' distribution networks. A study commissioned by the California Trucking Association found that the state's new Low Carbon Fuel Standard will likely raise the retail price of diesel fuel in California by up to 50 percent—to a projected US $6.69 per gallon by 2020.
With escalating fuel and trucking costs, astute DC site-seekers are finding important savings in inland distribution center locations close to rail hubs. We are counseling our clients to locate their inland distribution facilities as close to rail ramps as possible, as they provide opportunities to reduce dependence on over-the-road transport and to achieve a greater utilization of lower-cost, environmentally friendly rail. Some of these rail ramps are located in smaller, less-congested, and less-costly cities, and some also have free trade zone (FTZ) status.
One example of an intermodal development that is attracting DCs is in Quincy, Washington, USA. Quincy is located on the Seattle-Chicago main line of the Burlington Northern Santa Fe (BNSF) Railway in central Washington state and is close to Interstate 90 and the ports of Seattle and Tacoma. The intermodal terminal at Quincy includes more than 10,000 feet of track and can provide shippers with distribution, cross-dock, and storage capacity. Quincy is also home to the Pacific Northwest-Chicagoland Express "Cold Train," which carries fresh and frozen foods direct to Midwest markets. DCs with large power requirements can also take advantage of Quincy's green, hydro-generated power at rates that are among the lowest in the country.
Global matters
As our firm enters its fifth decade of providing location counsel, never have our DC site-selection projects been so affected by what is happening overseas. Consider this list of variables: political uncertainty in the Middle East and North Africa, the expansion of the Panama Canal, inflationary wage pressures in China, the return of manufacturing jobs to the United States, hyperextended and overly risky global supply chains, Asia's insatiable demand for coal, the European debt crisis, the "greening" of corporate investment decisions, the new free trade pact with South Korea, parity of the U.S. and Canadian dollars, and Japan's nuclear meltdown and tsunami. These and other global events are influencing investment and location decisions for new distribution and warehousing operations in the United States.
One development that is projected to have a big impact on the location of new warehouses in the United States is the revamped Panama Canal, scheduled for completion in 2014. The expansion project includes a new set of locks that will allow increased traffic and wider ships. These new ships, dubbed the Super Post-Panamax Class, will have a capacity of 13,000-plus 20-foot equivalent units (TEUs), nearly three times the capacity of today's ships. These ships will cost approximately 25 percent less to operate on a per-slot basis, providing a significant incentive for carriers to move containers directly to East Coast ports rather than overland from West Coast ports.
With an eye to the increased traffic and new super ships, East Coast ports have been upgrading, dredging, and expanding their facilities. In tandem, a wave of regional distribution warehouses is being built nearby. These new distribution hubs will be similar to the "big box" warehouses that were constructed in California's Inland Empire to serve the ports of Los Angeles and Long Beach. Among the new hubs we see developing are: Cranbury/Robbinsville, New Jersey, just south of Port Newark/Elizabeth; York, Pennsylvania, a short dray north from the Port of Baltimore; Pooler, Georgia, near the Port of Savannah; and Doral and Miramar, Florida, both close to the Port of Miami.
This construction is being further encouraged by historically low industrial land costs and multiple sources of funding for port-related projects. The Boyd Company is projecting overall demand for new warehousing space linked to the East Coast's emerging Inland Empire to be very substantial, upwards of 500 million square feet during 2012-2013.
Another global factor influencing DC growth in the United States is parity between the Canadian and U.S. dollars. Never has it been so inexpensive for Canadian companies to establish a brick-and-mortar presence in the United States, especially considering the unprecedented real estate bargains in markets throughout the country. South Florida; Phoenix, Arizona; Las Vegas, Nevada; and Albuquerque, New Mexico, are among the cities on our Canadian clients' short lists. Additionally, as the U.S. housing market shows signs of long-term improvement, the Canadian forest products sector is beginning to recover. We expect this development to fuel interest in Pacific Northwest sites like Seattle and Quincy, Washington, and Portland and Medford, Oregon.
Next year and beyond
Even with a sluggish overall economy, we are optimistic that the distribution sector will experience a sustained economic recovery in 2013, as we see some needed relief on the global stress meter and put election uncertainties behind us. If the economy does pick up, we expect no change in the overall trend of smaller distribution centers being built in "green buildings" near rail hubs and site-selection decisions influenced by global events and changes in the global economy.
Benefits for Amazon's customers--who include marketplace retailers and logistics services customers, as well as companies who use its Amazon Web Services (AWS) platform and the e-commerce shoppers who buy goods on the website--will include generative AI (Gen AI) solutions that offer real-world value, the company said.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."