The smartest bomb or the stealthiest cruise missile won't do a warfighter much good if the launcher is sidelined for repairs. A look at the Pentagon's bold new plan for keeping its weapons systems combat ready.
Steve Geary is adjunct faculty at the University of Tennessee's Haaslam College of Business and is a lecturer at The Gordon Institute at Tufts University. He is the President of the Supply Chain Visions family of companies, consultancies that work across the government sector. Steve is a contributing editor at DC Velocity, and editor-at-large for CSCMP's Supply Chain Quarterly.
With 300 ships, 15,000 aircraft, 900 strategic missiles and nearly 400,000 ground vehicles of one type or another scattered around the globe, how do you keep them ready for combat? That's the quandary of the U.S. military. For decades, it has struggled to cut the amount of time its equipment spends in the military equivalent of the breakdown lane. After all, the smartest bomb or the stealthiest cruise missile in the world doesn't do a warfighter much good if, say, the launcher is unavailable for combat.
But today things are starting to improve. Warfighters—whether on the land, at sea, or in the air—are more likely to have equipment mission capable, ready for action than in the past. System reliability is improving. Vehicles that go down for maintenance or repairs are being returned to service more swiftly. Overall operational availability—the percentage of a fleet of weapons systems ready for combat—has in some cases moved north of 90 percent. And in those cases, the military's weapons system support costs have remained largely unchanged.
What has changed is how the U.S. Department of Defense (DOD) buys product support services for military equipment. Abandoning decades- old habits, the Pentagon has adopted a bold new plan to keep complex systems combat ready. It's using the new system with fighter jets. And submarines. And tanks. And unmanned aerial drones. As a matter of fact, the guys at the top are looking to apply it to all new weapons systems.
They call it performance-based logistics (PBL).
Pay for performance
Performance-based logistics represents a breakthrough in the way the DOD buys and pays for support services. Under this approach, the DOD contracts with a private company for product support, but instead of paying individually for things like parts, service and engineering time, it pays based on a fee per unit of usage and leaves it up to the supplier to keep the whole system running. In other words, the DOD no longer pays for work done on, say, a fighter jet but for work done by that jet.
At its most basic level, PBL isn't much different from an automaker's extended care warranty. The consumer buys a warranty at a fixed price, and it's up to the car manufacturer to figure out how to provide post-sales support and maintenance. Replace the family sedan with something like the Joint Strike Fighter, and that, in simple terms, is PBL.
It's important to note that PBL is much more than the swift, reliable delivery of repair parts. The ultimate objective is to maximize what quality expert Joseph Juran termed a product's "fitness for use."To go back to the analogy of the family sedan, a consumer buying a new car might be reasonably happy with a deal that guarantees the speedy delivery of repair parts. But that consumer would be happier still if the car didn't break down at all; or if it came with a guarantee that if it malfunctioned, it would be brought back on line within a specified timeframe; or if it came with a guarantee that it would require less maintenance than other models to deliver the same level of performance. PBL is designed to cost effectively drive fitness for use.
A whole new world
To say that PBL represents a departure from past DOD practice would be to seriously understate the case. In the past, the military dictated how private companies would handle support and paid for the service on a cost-plus basis (paying the costs of materials and labor plus a fixed percentage profit for the contractor, for example). Among other flaws (this was the same kind of system responsible for the infamous $400 toilet seat), this practice offered virtually no incentive for contractors to improve support processes or overall system reliability and performance.Nor did it hold contractors accountable for the one thing that matters, the product's ability to perform the mission. If the contractor followed the contract's directions and met the transactional requirements, it got paid.
PBL changes all that. Now the DOD only dictates the desired outcomes related to the performance of the system in the field. It also pays based on that outcome. In fact, the most effective PBL contracts include only minimal discussion of the processes contractors must follow to meet the requirements. Instead, they focus on system performance expectations. It's up to the contractor to figure out how to put the supporting pieces together to achieve the goals.
The process typically begins with the development of the contract's objectives. The program manager for the government, who manages support throughout the life cycle of the system, works with the warfighter team—whether soldiers in the Army, sailors in the Navy, airmen/airwomen in the Air Force, or Marines—to determine the specific system performance outcomes required. That program manager then passes along the end requirements to the contractor (who is usually, but not always, the system's manufacturer), using a performance-based logistics contract.
The lead contractor, in turn, passes these requirements back through the supply chain to its own suppliers, including some that are part of the government support infrastructure (e.g., service-owned maintenance depots). It is free to decide—within statutory, regulatory and policy constraints—how it will fulfill the contract and with whom it will work, but the contractor at the top of the pyramid (known as the Product Support Integrator) is ultimately accountable to the government. And what it's accountable for is the system performance delivered, not the activities required to achieve it. If the supported system performs in the field, the contractor earns revenue. If the system performs well in the field, the contractor may earn bonuses. If it doesn't, the contractor takes a financial hit and will have to answer to both the government and its shareholders.
Evolution, not revolution
One of the earliest examples of PBL dates back to 1996 and the DOD's decision to close the Sacramento Air Logistics Center, a major support site for the Air Force F-117 Nighthawk stealth fighter. As with any base closure, most people saw the announcement as an economic blow to the region. But one enterprising corporation, Lockheed Martin, saw it as an opportunity.
Shortly after the news broke, Lockheed Martin, which is the Nighthawk's manufacturer, went to the Air Force with an unconventional—yet attractive—proposal. Lockheed Martin would take over the majority of F-117 non-core support functions (that is, those not handled exclusively by the military for strategic reasons) under a system that tied its compensation to its achievement of specific support performance targets. The Air Force liked the concept and implemented the new "performance based" approach in 1998. Today, Lockheed Martin is responsible for almost all system level support of the F-117.
This contract laid the conceptual foundation for many of the now standard components of PBL. In fact, this early success—along with many other programs that have followed—has helped to make PBL the preferred logistics support strategy for the U.S. DOD. Currently, there are more than 200 PBL contracts in place across the DOD, including all uniformed services.
That's not to say the concept hasn't evolved over the years, however. PBL is not a "one and done" approach. It is a journey where all parties now want the same thing: cost effective and reliable system performance. According to Jim Hall, acting assistant deputy under secretary of defense for logistics plans and programs, the senior DOD official responsible for PBL, "Maximizing PBL benefits will continue to drive us to develop a more complete understanding of the risks and uncertainties that must be addressed, in order to expand adoption and meet the requirements." As the DOD has gained experience with PBL programs, it has modified performance objectives where appropriate and become more sophisticated in its approach to PBL contracting.
The payoffs
Word that virtually every new major DOD system acquisition is being designed and fielded with the expectation that operational support will be provided under a PBL contract will come as no surprise to anyone familiar with PBL's results. The success of performance-based logistics in improving readiness and availability has been proven time and time again.
In the case of the F/A-18 fighter aircraft alone, PBL has made an astounding difference, says Larry Garvey, director of the supply chain solutions division at the Naval Inventory Control Point. Garvey reports that the Navy has seen material availability improve from 67 percent with the F/A-18 C/D fighter aircraft when support was provided under traditional contracts to 85 percent for the F/A-18 E/F aircraft under PBL. In fact, the mission-capable rates of the F/A-18 E/F have improved by over 10 percent, as compared with the earlier versions.
It's the same story with the Aegis cruiser missile, reports Lou Kratz, former assistant deputy under secretary of defense for logistics plans and programs and a long-time champion of PBL. Kratz says material availability has soared from 62 to 94 percent for the Aegis cruiser under PBL. That has contributed to an overall improvement in the Aegis system's availability.
For another example of how PBL can help solve problems with weapons system downtime, you need look no further than the PBL agreement struck with engine-maker Pratt & Whitney. Pratt & Whitney won its first PBL contract to provide propulsion system support for the C-17 aircraft in 1997 (as one of the suppliers to the lead contractor, Boeing), and its performance has earned it follow-on contracts and extensions ever since. Under terms of the deal, Pratt & Whitney has agreed to keep a certain number of its F117 engines available at specified locations ready for use at all times. In return, Pratt & Whitney is paid a fixed rate per engine cycle (as determined by a complex formula that weights missions and flight hours, along with takeoffs, landings, environment and other factors), rather than for the parts and effort needed to keep the engine in working condition.
The results have been extraordinary. As the accompanying graph illustrates, the engines' "time on wing" (the interval between service events that require an engine's removal from the wing) has soared under PBL, far exceeding the Air Force's expectations. For the DOD, that has translated into a significant increase in aircraft uptime and reliability at no added cost.
It's the customer, stupid
Of course, performance-based logistics initiatives need not be—and have not been—limited to the defense world. The concept can be applied in a variety of environments. In fact, it is making inroads in the commercial marketplace. Mark Hillman, a senior supply chain analyst with AMR Research, says he is seeing more and more PBL-like implementations, including full-service leases and warranties. "It's something of a trend," he says, "a movement toward availability- based optimization techniques, driven by a need to meet service-level agreements."
That has profound implications for supply chain management. Performance-based logistics represents an entirely new way of thinking about the supply chain— one where the emphasis shifts to the customer's needs, not the supply chain's performance. In a PBL world, the supply chain manager no longer focuses solely on ways to boost performance against internal measures like fill rates, inventory turns and on-time shipments. Instead, the job is to work as part of a team to meet the end user's needs.
Consider the example of a company that has agreed to provide PBL support for, say, a magnetic resonance imager (MRI). Under a traditional arrangement, if the unit broke down, the supply chain manager would be responsible for seeing that repair parts were shipped within a specified lead time. Under a PBL contract, by contrast, that supply chain manager would be part of a team responsible for doing whatever it took—dispatching field engineers, delivering spare parts, calling in technical experts—to get the equipment operational within a specified window.
And it doesn't stop there. Under PBL, the supply chain manager would also have similar responsibilities when it came to routine maintenance for the MRI, as well as for engineering changes and scheduled upgrades. On top of that, the manager would be accountable for the performance of the company's own suppliers—vendors, carriers, third-party service providers and so forth.
Those new responsibilities are just the half of it. For supply chain managers, a shift to PBL also brings a wholesale change in mission. It's no longer about forecasting what parts your customers will need and faithfully shipping them. It's about understanding the product performance your customer needs and coordinating with your supply chain partners to deliver that support.
mission: possible?
The notion of relying on commercial sources to provide performance- based logistics (PBL) support for weapons systems in the battlespace has triggered much debate. Opponents dismiss the idea as impractical at best, citing concerns such as the safety of contractors on the battlefield and how much support a contractor can realistically provide in hostile deployed environments.
Others see that as a goal well within reach. Based on the Army's experience with its Shadow Tactical Unmanned Aerial Vehicle (UAV) program, which is currently deployed and operational in Southwest Asia, it appears they may be right.
AAI Corp., the maker of the Shadow, provides support for the vehicle under a PBL contract with the Army. Under that contract, AAI guarantees 85 percent equipment availability—a provision it has consistently managed to meet or exceed. Although Army personnel operate and maintain the system, AAI has contractor field teams on site that provide "over the shoulder" support and rapid access to critical technical information when needed.
Interestingly, although the UAV deal was struck before Operation Iraqi Freedom, the agreement did not have to be rewritten when the conflict broke out, despite an associated increase in flight hours of more than 600 percent. Though it was never intended as a test case for PBL in the battlespace, that appears to be the UAV deal's destiny.
Oh, you work in logistics, too? Then you’ve probably met my friends Truedi, Lumi, and Roger.
No, you haven’t swapped business cards with those guys or eaten appetizers together at a trade-show social hour. But the chances are good that you’ve had conversations with them. That’s because they’re the online chatbots “employed” by three companies operating in the supply chain arena—TrueCommerce,Blue Yonder, and Truckstop. And there’s more where they came from. A number of other logistics-focused companies—like ChargePoint,Packsize,FedEx, and Inspectorio—have also jumped in the game.
While chatbots are actually highly technical applications, most of us know them as the small text boxes that pop up whenever you visit a company’s home page, eagerly asking questions like:
“I’m Truedi, the virtual assistant for TrueCommerce. Can I help you find what you need?”
“Hey! Want to connect with a rep from our team now?”
“Hi there. Can I ask you a quick question?”
Chatbots have proved particularly popular among retailers—an October survey by artificial intelligence (AI) specialist NLX found that a full 92% of U.S. merchants planned to have generative AI (GenAI) chatbots in place for the holiday shopping season. The companies said they planned to use those bots for both consumer-facing applications—like conversation-based product recommendations and customer service automation—and for employee-facing applications like automating business processes in buying and merchandising.
But how smart are these chatbots really? It varies. At the high end of the scale, there’s “Rufus,” Amazon’s GenAI-powered shopping assistant. Amazon says millions of consumers have used Rufus over the past year, asking it questions either by typing or speaking. The tool then searches Amazon’s product listings, customer reviews, and community Q&A forums to come up with answers. The bot can also compare different products, make product recommendations based on the weather where a consumer lives, and provide info on the latest fashion trends, according to the retailer.
Another top-shelf chatbot is “Manhattan Active Maven,” a GenAI-powered tool from supply chain software developer Manhattan Associates that was recently adopted by the Army and Air Force Exchange Service. The Exchange Service, which is the 54th-largest retailer in the U.S., is using Maven to answer inquiries from customers—largely U.S. soldiers, airmen, and their families—including requests for information related to order status, order changes, shipping, and returns.
However, not all chatbots are that sophisticated, and not all are equipped with AI, according to IBM. The earliest generation—known as “FAQ chatbots”—are only clever enough to recognize certain keywords in a list of known questions and then respond with preprogrammed answers. In contrast, modern chatbots increasingly use conversational AI techniques such as natural language processing to “understand” users’ questions, IBM said. It added that the next generation of chatbots with GenAI capabilities will be able to grasp and respond to increasingly complex queries and even adapt to a user’s style of conversation.
Given their wide range of capabilities, it’s not always easy to know just how “smart” the chatbot you’re talking to is. But come to think of it, maybe that’s also true of the live workers we come in contact with each day. Depending on who picks up the phone, you might find yourself speaking with an intern who’s still learning the ropes or a seasoned professional who can handle most any challenge. Either way, the best way to interact with our new chatbot colleagues is probably to take the same approach you would with their human counterparts: Start out simple, and be respectful; you never know what you’ll learn.
With the hourglass dwindling before steep tariffs threatened by the new Trump Administration will impose new taxes on U.S. companies importing goods from abroad, organizations need to deploy strategies to handle those spiraling costs.
American companies with far-flung supply chains have been hanging for weeks in a “wait-and-see” situation to learn if they will have to pay increased fees to U.S. Customs and Border Enforcement agents for every container they import from certain nations. After paying those levies, companies face the stark choice of either cutting their own profit margins or passing the increased cost on to U.S. consumers in the form of higher prices.
The impact could be particularly harsh for American manufacturers, according to Kerrie Jordan, Group Vice President, Product Management at supply chain software vendor Epicor. “If higher tariffs go into effect, imported goods will cost more,” Jordan said in a statement. “Companies must assess the impact of higher prices and create resilient strategies to absorb, offset, or reduce the impact of higher costs. For companies that import foreign goods, they will have to find alternatives or pay the tariffs and somehow offset the cost to the business. This can take the form of building up inventory before tariffs go into effect or finding an equivalent domestic alternative if they don’t want to pay the tariff.”
Tariffs could be particularly painful for U.S. manufacturers that import raw materials—such as steel, aluminum, or rare earth minerals—since the impact would have a domino effect throughout their operations, according to a statement from Matt Lekstutis, Director at consulting firm Efficio. “Based on the industry, there could be a large detrimental impact on a company's operations. If there is an increase in raw materials or a delay in those shipments, as being the first step in materials / supply chain process, there is the possibility of a ripple down effect into the rest of the supply chain operations,” Lekstutis said.
New tariffs could also hurt consumer packaged goods (CPG) retailers, which are already being hit by the mere threat of tariffs in the form of inventory fluctuations seen as companies have rushed many imports into the country before the new administration began, according to a report from Iowa-based third party logistics provider (3PL) JT Logistics. That jump in imported goods has quickly led to escalating demands for expanded warehousing, since CPG companies need a place to store all that material, Jamie Cord, president and CEO of JT Logistics, said in a release
Immediate strategies to cope with that disruption include adopting strategies that prioritize agility, including capacity planning and risk diversification by leveraging multiple fulfillment partners, and strategic inventory positioning across regional warehouses to bypass bottlenecks caused by trade restrictions, JT Logistics said. And long-term resilience recommendations include scenario-based planning, expanded supplier networks, inventory buffering, multimodal transportation solutions, and investment in automation and AI for insights and smarter operations, the firm said.
“Navigating the complexities of tariff-driven disruptions requires forward-thinking strategies,” Cord said. “By leveraging predictive modeling, diversifying warehouse networks, and strategically positioning inventory, JT Logistics is empowering CPG brands to remain adaptive, minimize risks, and remain competitive in the current dynamic market."
With so many variables at play, no company can predict the final impact of the potential Trump tariffs, so American companies should start planning for all potential outcomes at once, according to a statement from Nari Viswanathan, senior director of supply chain strategy at Coupa Software. Faced with layers of disruption—with the possible tariffs coming on top of pre-existing geopolitical conflicts and security risks—logistics hubs and businesses must prepare for any what-if scenario. In fact, the strongest companies will have scenarios planned as far out as the next three to five years, Viswanathan said.
Grocery shoppers at select IGA, Price Less, and Food Giant stores will soon be able to use an upgraded in-store digital commerce experience, since store chain operator Houchens Food Group said it would deploy technology from eGrowcery, provider of a retail food industry white-label digital commerce platform.
Kentucky-based Houchens Food Group, which owns and operates more than 400 grocery, convenience, hardware/DIY, and foodservice locations in 15 states, said the move would empower retailers to rethink how and when to engage their shoppers best.
“At HFG we are focused on technology vendors that allow for highly targeted and personalized customer experiences, data-driven decision making, and e-commerce capabilities that do not interrupt day to day customer service at store level. We are thrilled to partner with eGrowcery to assist us in targeting the right audience with the right message at the right time,” Craig Knies, Chief Marketing Officer of Houchens Food Group, said in a release.
Michigan-based eGrowcery, which operates both in the United States and abroad, says it gives retail groups like Houchens Food Group the ability to provide a white-label e-commerce platform to the retailers it supplies, and integrate the program into the company’s overall technology offering. “Houchens Food Group is a great example of an organization that is working hard to simultaneously enhance its technology offering, engage shoppers through more channels and alleviate some of the administrative burden for its staff,” Patrick Hughes, CEO of eGrowcery, said.
The 40-acre solar facility in Gentry, Arkansas, includes nearly 18,000 solar panels and 10,000-plus bi-facial solar modules to capture sunlight, which is then converted to electricity and transmitted to a nearby electric grid for Carroll County Electric. The facility will produce approximately 9.3M kWh annually and utilize net metering, which helps transfer surplus power onto the power grid.
Construction of the facility began in 2024. The project was managed by NextEra Energy and completed by Verogy. Both Trio (formerly Edison Energy) and Carroll Electric Cooperative Corporation provided ongoing consultation throughout planning and development.
“By commissioning this solar facility, J.B. Hunt is demonstrating our commitment to enhancing the communities we serve and to investing in economically viable practices aimed at creating a more sustainable supply chain,” Greer Woodruff, executive vice president of safety, sustainability and maintenance at J.B. Hunt, said in a release. “The annual amount of clean energy generated by the J.B. Hunt Solar Facility will be equivalent to that used by nearly 1,200 homes. And, by drawing power from the sun and not a carbon-based source, the carbon dioxide kept from entering the atmosphere will be equivalent to eliminating 1,400 passenger vehicles from the road each year.”
As a contract provider of warehousing, logistics, and supply chain solutions, Geodis often has to provide customized services for clients.
That was the case recently when one of its customers asked Geodis to up its inventory monitoring game—specifically, to begin conducting quarterly cycle counts of the goods it stored at a Geodis site. Trouble was, performing more frequent counts would be something of a burden for the facility, which still conducted inventory counts manually—a process that was tedious and, depending on what else the team needed to accomplish, sometimes required overtime.
So Levallois, France-based Geodis launched a search for a technology solution that would both meet the customer’s demand and make its inventory monitoring more efficient overall, hoping to save time, labor, and money in the process.
SCAN AND DELIVER
Geodis found a solution with Gather AI, a Pittsburgh-based firm that automates inventory monitoring by deploying small drones to fly through a warehouse autonomously scanning pallets and cases. The system’s machine learning (ML) algorithm analyzes the resulting inventory pictures to identify barcodes, lot codes, text, and expiration dates; count boxes; and estimate occupancy, gathering information that warehouse operators need and comparing it with what’s in the warehouse management system (WMS).
Among other benefits, this means employees no longer have to spend long hours doing manual inventory counts with order-picker forklifts. On top of that, the warehouse manager is able to view inventory data in real time from a web dashboard and identify and address inventory exceptions.
But perhaps the biggest benefit of all is the speed at which it all happens. Gather AI’s drones perform those scans up to 15 times faster than traditional methods, the company says. To that point, it notes that before the drones were deployed at the Geodis site, four manual counters could complete approximately 800 counts in a day. By contrast, the drones are able to scan 1,200 locations per day.
FLEXIBLE FLYERS
Although Geodis had a number of options when it came to tech vendors, there were a couple of factors that tipped the odds in Gather AI’s favor, the partners said. One was its close cultural fit with Geodis. “Probably most important during that vetting process was understanding the cultural fit between Geodis and that vendor. We truly wanted to form a relationship with the company we selected,” Geodis Senior Director of Innovation Andy Johnston said in a release.
Speaking to this cultural fit, Johnston added, “Gather AI understood our business, our challenges, and the course of business throughout our day. They trained our personnel to get them comfortable with the technology and provided them with a tool that would truly make their job easier. This is pretty advanced technology, but the Gather AI user interface allowed our staff to see inventory variances intuitively, and they picked it up quickly. This shows me that Gather AI understood what we needed.”
Another factor in Gather AI’s favor was the prospect of a quick and easy deployment: Because the drones can conduct their missions without GPS or Wi-Fi, the supplier would be able to get its solution up and running quickly. In the words of Geodis Industrial Engineer Trent McDermott, “The Gather AI implementation process was efficient. There were no IT infrastructure or layout changes needed, and Gather AI was flexible with the installation to not disrupt peak hours for the operations team.”
QUICK RESULTS
Once the drones were in the air, Geodis saw immediate improvements in cycle counting speed, according to Gather AI. But that wasn’t the only benefit: Geodis was also able to more easily find misplaced pallets.
“Previously, we would research the inventory’s systemic license plate number (LPN),” McDermott explained. “We could narrow it down to a portion or a section of the warehouse where we thought that LPN was, but there was still a lot of ambiguity. So we would send an operator out on a mission to go hunt and find that LPN,” a process that could take a day or two to complete. But the days of scouring the facility for lost pallets are over. With Gather AI, the team can simply search in the dashboard to find the last location where the pallet was scanned.
And about that customer who wanted more frequent inventory counts? Geodis reports that it completed its first quarterly count for the client in half the time it had previously taken, with no overtime needed. “It’s a huge win for us to trim that time down,” McDermott said. “Just two weeks into the new quarter, we were able to have 40% of the warehouse completed.”