David Maloney has been a journalist for more than 35 years and is currently the group editorial director for DC Velocity and Supply Chain Quarterly magazines. In this role, he is responsible for the editorial content of both brands of Agile Business Media. Dave joined DC Velocity in April of 2004. Prior to that, he was a senior editor for Modern Materials Handling magazine. Dave also has extensive experience as a broadcast journalist. Before writing for supply chain publications, he was a journalist, television producer and director in Pittsburgh. Dave combines a background of reporting on logistics with his video production experience to bring new opportunities to DC Velocity readers, including web videos highlighting top distribution and logistics facilities, webcasts and other cross-media projects. He continues to live and work in the Pittsburgh area.
Although you wouldn't know it from the headlines, the biggest threats to global supply chains
aren't necessarily the most sensational:
pirates, for instance, or hurricanes or terrorist attacks. Far more serious are the
threats posed by mundane occurrences like material handling system breakdowns or DC power outages. For one thing, they have a higher likelihood of occurrence. For another, they have the potential to bring order fulfillment operations to a halt, with potentially devastating effects on customer service.
To minimize these types of
risks, smart facility managers make it a point to develop detailed contingency plans for
dealing with disruption. But how do you go about that task? DC Velocity asked several
leading facility designers and systems integrators for
advice on making operations more resilient and creating a bulletproof business recovery plan.
Resiliency, not redundancy
The focus of a contingency plan should be resiliency, not necessarily redundancy, according to the
experts. The main point of the exercise is to ensure that the facility can weather a supply chain
storm. While that may include duplication of some processes and equipment, it can also be as simple
as outlining alternative methods to keep product flowing.
Decisions regarding how much and what kind of redundant equipment is needed will be dictated by
cost, the likelihood of disruption, and the company's tolerance for risk. What can a facility do
without? How long can its supply chain afford an outage? Is the product being stored there going
to spoil or deteriorate over time (like perishable food and certain pharmaceuticals)?
"One thing I ask my clients is, 'What is the cost of downtime to you?' It can be hundreds of
thousands of dollars in labor costs, missed shipments, and lost customer service," says Bob
Carver, vice president of Vargo Adaptive Software.
"Do you want to stay in business as if nothing happened?" asks Lou Cerny, vice president at
Sedlak Management Consultants. If that's the case, the best course may be to invest in
extensive backup systems. But that can be costly, he says. After weighing the expense, companies
sometimes decide to back up only those functions that are critical to their supply chains, he
adds.
Ready for the worst
One of the functions companies commonly target for backup is the facility's electrical system.
Power outages are the number one cause of downtime in distribution centers, especially during
summer months when the threat of thunderstorms is highest. Many facilities counter this with
on-site power generators. Some choose to power the entire facility, while others restore power
only to critical areas, including freezers and coolers, or to select equipment, like lighting,
conveyors, and sorters.
Like electrical systems, software systems are likely to be high on the list of systems to be
restored quickly following a shutdown. Ideally, software systems should be designed to assure
near-continuous operation. When systems do go down, the design should allow for a
swift recovery.
One way to boost reliability within a facility's control system is to minimize the number of
control points. "Instead of 10 PLC [programmable logic controller] systems, we centralize the
control," says Jacques Hasbani, vice president of software development for Fortna. He explains
that most of the facilities his firm designs have a cold backup control box that is plug-and-play
ready, so if there is a failure with a centralized control box, it can be easily swapped out.
Hasbani also suggests a clustered design for the servers that operate the application software
and associated databases. Using multiple servers to run the system allows for higher processing
speeds and provides needed redundancy in case of drive failure, he says. "We can provide an
uptime of 99.82 percent with clustering," Hasbani adds.
Even with clustering, facilities should have a backup of their software and data somewhere—
whether it's on site on another server, stored at a service provider's location, or at a
third-party data storage facility.
Lead your league in rebounding
One of the most important parts of the contingency planning process is outlining the procedures to
follow in case of equipment failure. For companies that don't have backup systems and equipment in
place, that will likely mean devising temporary workarounds. For instance, if an RF system or
other type of automated picking system were to break down, the workaround might be to use the
facility's warehouse management system to print out paper pick lists until the systems can be
restored.
Some types of automated equipment come with resiliency features built in. For example, many
storage and retrieval systems are designed with retrieval machines that can change aisles so that
if one machine is down for repairs, another can still gather products from the affected aisle.
Another way to boost resiliency is to store products of the same SKU in several locations
throughout the building so that orders can still be filled if the primary storage location cannot
be reached. SKUs stored in carousels, for instance, should be placed in more than one pod so that
if one unit is out of service, the product can still be picked from another one.
For the same reason, pick modules should be configured so that if conveyor in one section is out
of commission, orders can be diverted to other zones. (Again, this requires that SKUs be slotted to
more than one area of the module.)
Some experts recommend keeping a few wheeled carts on hand to gather products in the event of a
conveyor shutdown. Other low-cost backup options include non-powered conveyors. "One sortation
system we put in had some non-powered, flexible conveyor nearby that could be wheeled into place
to sort packages in an emergency," notes Marvin Logan, systems consultant with Bastian Material
Handling. "That was a very inexpensive solution."
In designing pack stations, the easiest way to create resiliency is to simply plan more lanes
than are currently needed. Most facilities will eventually grow into them.
Don't forget maintenance
What companies don't always realize is that a big part of disaster planning is preventing
disruptions in the first place. That's where maintenance comes in. Establishing and following a
well-designed preventative maintenance and spare parts program is one of the best ways to reduce
the risk of equipment breakdowns and the associated disruptions, according to the experts. "We
stress that anything mechanical is going to eventually break down," explains Cerny of
Sedlak. "Good preventative maintenance solves a lot of issues proactively."
"While you look for reliability [when choosing equipment], you still need to repair
equipment when it breaks. You need to maintain a critical parts inventory and an on-site repair
crew or have contracts with local companies to perform maintenance quickly," says Bob Frye, senior
account executive with Peach State Integrated Technologies.
"Break things out into critical spare parts and not-so-critical parts," adds Carlos Ysasi,
vice president at Vargo. "If you can get it within 24 hours, then you might not want to keep it
on the shelf. But if it is something like a cross-belt from Italy that you cannot get quickly,
you might want a backup part on hand and people trained to switch it out."
Many integration specialists and equipment suppliers offer remote monitoring for the systems
they install. This helps head off problems, or at the very least, alerts them immediately when
something does go wrong.
Finally, test the plan, advises Justin O'Toole, vice president of supply chain for Fortna.
"See if you have the right equipment and flexible processes within your design," he says.
As U.S. small and medium-sized enterprises (SMEs) face an uncertain business landscape in 2025, a substantial majority (67%) expect positive growth in the new year compared to 2024, according to a survey from DHL.
However, the survey also showed that businesses could face a rocky road to reach that goal, as they navigate a complex environment of regulatory/policy shifts and global market volatility. Both those issues were cited as top challenges by 36% of respondents, followed by staffing/talent retention (11%) and digital threats and cyber attacks (2%).
Against that backdrop, SMEs said that the biggest opportunity for growth in 2025 lies in expanding into new markets (40%), followed by economic improvements (31%) and implementing new technologies (14%).
As the U.S. prepares for a broad shift in political leadership in Washington after a contentious election, the SMEs in DHL’s survey were likely split evenly on their opinion about the impact of regulatory and policy changes. A plurality of 40% were on the fence (uncertain, still evaluating), followed by 24% who believe regulatory changes could negatively impact growth, 20% who see these changes as having a positive impact, and 16% predicting no impact on growth at all.
That uncertainty also triggered a split when respondents were asked how they planned to adjust their strategy in 2025 in response to changes in the policy or regulatory landscape. The largest portion (38%) of SMEs said they remained uncertain or still evaluating, followed by 30% who will make minor adjustments, 19% will maintain their current approach, and 13% who were willing to significantly adjust their approach.
The overall national industrial real estate vacancy rate edged higher in the fourth quarter, although it still remains well below pre-pandemic levels, according to an analysis by Cushman & Wakefield.
Vacancy rates shrunk during the pandemic to historically low levels as e-commerce sales—and demand for warehouse space—boomed in response to massive numbers of people working and living from home. That frantic pace is now cooling off but real estate demand remains elevated from a long-term perspective.
“We've witnessed an uptick among firms looking to lease larger buildings to support their omnichannel fulfillment strategies and maintain inventory for their e-commerce, wholesale, and retail stock. This trend is not just about space, but about efficiency and customer satisfaction,” Jason Tolliver, President, Logistics & Industrial Services, said in a release. “Meanwhile, we're also seeing a flurry of activity to support forward-deployed stock models, a strategy that keeps products closer to the market they serve and where customers order them, promising quicker deliveries and happier customers.“
The latest figures show that industrial vacancy is likely nearing its peak for this cooling cycle in the coming quarters, Cushman & Wakefield analysts said.
Compared to the third quarter, the vacancy rate climbed 20 basis points to 6.7%, but that level was still 30 basis points below the 10-year, pre-pandemic average. Likewise, overall net absorption in the fourth quarter—a term for the amount of newly developed property leased by clients—measured 36.8 million square feet, up from the 33.3 million square feet recorded in the third quarter, but down 20% on a year-over-year basis.
In step with those statistics, real estate developers slowed their plans to erect more buildings. New construction deliveries continued to decelerate for the second straight quarter. Just 85.3 million square feet of new industrial product was completed in the fourth quarter, down 8% quarter-over-quarter and 48% versus one year ago.
Likewise, only four geographic markets saw more than 20 million square feet of completions year-to-date, compared to 10 markets in 2023. Meanwhile, as construction starts remained tempered overall, the under-development pipeline has continued to thin out, dropping by 36% annually to its lowest level (290.5 million square feet) since the third quarter of 2018.
Despite the dip in demand last quarter, the market for industrial space remains relatively healthy, Cushman & Wakefield said.
“After a year of hesitancy, logistics is entering a new, sustained growth phase,” Tolliver said. “Corporate capital is being deployed to optimize supply chains, diversify networks, and minimize potential risks. What's particularly encouraging is the proactive approach of retailers, wholesalers, and 3PLs, who are not just reacting to the market, but shaping it. 2025 will be a year characterized by this bias for action.”
The three companies say the deal will allow clients to both define ideal set-ups for new warehouses and to continuously enhance existing facilities with Mega, an Nvidia Omniverse blueprint for large-scale industrial digital twins. The strategy includes a digital twin powered by physical AI – AI models that embody principles and qualities of the physical world – to improve the performance of intelligent warehouses that operate with automated forklifts, smart cameras and automation and robotics solutions.
The partners’ approach will take advantage of digital twins to plan warehouses and train robots, they said. “Future warehouses will function like massive autonomous robots, orchestrating fleets of robots within them,” Jensen Huang, founder and CEO of Nvidia, said in a release. “By integrating Omniverse and Mega into their solutions, Kion and Accenture can dramatically accelerate the development of industrial AI and autonomy for the world’s distribution and logistics ecosystem.”
Kion said it will use Nvidia’s technology to provide digital twins of warehouses that allows facility operators to design the most efficient and safe warehouse configuration without interrupting operations for testing. That includes optimizing the number of robots, workers, and automation equipment. The digital twin provides a testing ground for all aspects of warehouse operations, including facility layouts, the behavior of robot fleets, and the optimal number of workers and intelligent vehicles, the company said.
In that approach, the digital twin doesn’t stop at simulating and testing configurations, but it also trains the warehouse robots to handle changing conditions such as demand, inventory fluctuation, and layout changes. Integrated with Kion’s warehouse management software (WMS), the digital twin assigns tasks like moving goods from buffer zones to storage locations to virtual robots. And powered by advanced AI, the virtual robots plan, execute, and refine these tasks in a continuous loop, simulating and ultimately optimizing real-world operations with infinite scenarios, Kion said.
Following the deal, Palm Harbor, Florida-based FreightCenter’s customers will gain access to BlueGrace’s unified transportation management system, BlueShip TMS, enabling freight management across various shipping modes. They can also use BlueGrace’s truckload and less-than-truckload (LTL) services and its EVOS load optimization tools, stemming from another acquisition BlueGrace did in 2024.
According to Tampa, Florida-based BlueGrace, the acquisition aligns with its mission to deliver simplified logistics solutions for all size businesses.
Terms of the deal were not disclosed, but the firms said that FreightCenter will continue to operate as an independent business under its current brand, in order to ensure continuity for its customers and partners.
BlueGrace is held by the private equity firm Warburg Pincus. It operates from nine offices located in transportation hubs across the U.S. and Mexico, serving over 10,000 customers annually through its BlueShip technology platform that offers connectivity with more than 250,000 carrier suppliers.
Under terms of the deal, Sick and Endress+Hauser will each hold 50% of a joint venture called "Endress+Hauser SICK GmbH+Co. KG," which will strengthen the development and production of analyzer and gas flow meter technologies. According to Sick, its gas flow meters make it possible to switch to low-emission and non-fossil energy sources, for example, and the process analyzers allow reliable monitoring of emissions.
As part of the partnership, the product solutions manufactured together will now be marketed by Endress+Hauser, allowing customers to use a broader product portfolio distributed from a single source via that company’s global sales centers.
Under terms of the contract between the two companies—which was signed in the summer of 2024— around 800 Sick employees located in 42 countries will transfer to Endress+Hauser, including workers in the global sales and service units of Sick’s “Cleaner Industries” division.
“This partnership is a perfect match,” Peter Selders, CEO of the Endress+Hauser Group, said in a release. “It creates new opportunities for growth and development, particularly in the sustainable transformation of the process industry. By joining forces, we offer added value to our customers. Our combined efforts will make us faster and ultimately more successful than if we acted alone. In this case, one and one equals more than two.”
According to Sick, the move means that its current customers will continue to find familiar Sick contacts available at Endress+Hauser for consulting, sales, and service of process automation solutions. The company says this approach allows it to focus on its core business of factory and logistics automation to meet global demand for automation and digitalization.
Sick says its core business has always been in factory and logistics automation, which accounts for more than 80% of sales, and this area remains unaffected by the new joint venture. In Sick’s view, automation is crucial for industrial companies to secure their productivity despite limited resources. And Sick’s sensor solutions are a critical part of industrial automation, which increases productivity through artificial intelligence and the digital networking of production and supply chains.