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.
While RFID may not be the golden ticket to distribution success proponents had envisioned a few years back, it has hardly faded from the scene. Far from it, in fact. Although the RFID tag may not yet be as ubiquitous as the bar code, plenty of companies out there are putting the technology to use in their distribution and logistics operations.
For evidence of that you need look no farther than the Federalsburg, Md., consolidation center run by H&M Bay, a third-party logistics service provider that specializes in climate-controlled less-than-truckload (LTL) freight. At the Federalsburg site, H&M Bay is using an RFID-based system to track frozen and refrigerated goods moving through its fast-paced transload and cross-dock operations.
To understand what makes RFID a particularly good fit for this application, you have to know a little bit about H&M Bay's business. The company operates as a truck broker, with a network of over 10,000 owner-operators nationwide. Although it also offers truckload services, its specialty is managing LTL movements of frozen and refrigerated commodities. As part of that service, it operates six consolidation centers around the country (including the Federalsburg facility), where regional LTL shipments are received and combined into new loads for delivery across the 48 contiguous states.
The Federalsburg site operates on a weekly schedule, with freight consolidation taking place on Saturdays. But goods may begin arriving as early as Thursday. To accommodate these early arrivals, the company in 2008 built a cold storage area at one end of the 66-door facility, where the goods can be held at the appropriate temperature until it's time for outbound loading.
One of the decisions the company faced early on was how to track the goods held in the temporary storage facility. H&M Bay wanted a system that would not only allow it to locate the goods quickly but also enable it to track how much time they spent in storage and when they were shipped out. After weighing a number of options, H&M Bay settled on RFID.
For a fast-paced operation like H&M Bay's, RFID offers a number of advantages over other data-collection methods. For one thing, there's the technology's extended read range. With RFID, there's no need for lift truck drivers to climb down off their vehicles to scan a pallet's label the way they would with, say, bar codes. They simply pick up the load and drive past a reader that automatically captures data from the pallet's tag. For another, there's the technology's speed and flexibility. RFID not only provides high read rates but also allows for multiple tags to be read simultaneously.
Rapid readers
Working with its integrator, Franwell Inc. of Lakeland, Fla., H&M Bay designed a system that's easy to use but still provides all the tracking data it needs. As a truck arrives, workers wheel a portable cart to the dock door. The cart holds a Datamax printer that creates two 4- by 8-inch passive RFID labels containing information about the product—the order number, the shipper, the number of cases on the pallet, the shipping destination, and the truck on which it will eventually be loaded. One RFID label is applied to the top of the pallet, while the other goes on the front. The lift truck then takes the load and drops it at either the cooler entrance or the freezer entrance.
From there, one of three reach trucks retrieves the pallet for putaway in the appropriate storage area. Each of these reach trucks is outfitted with a Motorola RD 5000 RFID reader mounted on its forks. The reader is tethered to a Motorola VC5090 mobile computer on board the vehicle. As the truck picks up the load, its reader automatically captures the data from the pallet's front tag and transmits it to the onboard computer. The computer, in turn, transmits the data to the company's customized inventory system.
As the reach truck enters a cold room, an overhead Motorola XR Series RFID reader retrieves the information from the pallet's top tag. That information is then relayed to the inventory system to let it know that the product is now located in either the cooler or the freezer and is not still sitting in a staging area or on the dock.
The storage area features 1,000 pallet positions within five levels of racking. To expedite the putaway process, H&M Bay's RFID system allows drivers to decide where to deposit their loads (usually at the closest available position) rather than sending them to a pre-assigned location. This saves valuable time because it eliminates the need for drivers to consult a sheet or display screen to find out where they're supposed to put the pallet and then search among the racks for the correct slot.
As the driver places a load onto a rack, the lift truck's reader captures the location data from a tag permanently attached to the rack's inside upright. The onboard computer then displays the location and asks the driver to confirm the information. This assures complete accuracy, although the company says that because of the way the system is set up—with tags permanently mounted on the racks' metal interior and a configuration that allows for adjustments to the scanners' read range—there's little chance that a neighboring tag will be read in error.
Once the driver has confirmed the position, the inventory system is updated again with the pallet's new location. If customers wish, they can log onto H&M Bay's system to confirm that their product is safely in cold storage.
When loading begins on Saturday, the reach truck drivers are handed a list of pallets to pull from the racks. As the drivers exit the cooler or freezer areas with their loads, the interrogator positioned above the door reads the tags, and the system is updated to show they're no longer in cold storage. The pallets are then whisked to the appropriate staging area for loading onto outbound trucks.
Need for speed
As for how the RFID tracking system has been working out, H&M Bay reports that the technology has allowed it to keep precise track of each product's location with no slowdown in the workflow. On top of that, the company estimates that it has saved about 25 percent in labor costs compared with other types of data-collection methods. Drivers do not have to leave their vehicles to scan a bar code or enter location information into a computer terminal, which expedites the loading and unloading process. And because drivers are free to choose storage locations, they don't have to waste time trying to find pre-assigned positions.
"Everything happens so quickly here," says John Walker, H&M Bay's software development manager. "In our operations, it is up to the guys on the fork trucks to manage the process. With the RFID setup, we have a mobile system that allows them to do the transactions quickly."
Supply chains are poised for accelerated adoption of mobile robots and drones as those technologies mature and companies focus on implementing artificial intelligence (AI) and automation across their logistics operations.
That’s according to data from Gartner’s Hype Cycle for Mobile Robots and Drones, released this week. The report shows that several mobile robotics technologies will mature over the next two to five years, and also identifies breakthrough and rising technologies set to have an impact further out.
Gartner’s Hype Cycle is a graphical depiction of a common pattern that arises with each new technology or innovation through five phases of maturity and adoption. Chief supply chain officers can use the research to find robotic solutions that meet their needs, according to Gartner.
Gartner, Inc.
The mobile robotic technologies set to mature over the next two to five years are: collaborative in-aisle picking robots, light-cargo delivery robots, autonomous mobile robots (AMRs) for transport, mobile robotic goods-to-person systems, and robotic cube storage systems.
“As organizations look to further improve logistic operations, support automation and augment humans in various jobs, supply chain leaders have turned to mobile robots to support their strategy,” Dwight Klappich, VP analyst and Gartner fellow with the Gartner Supply Chain practice, said in a statement announcing the findings. “Mobile robots are continuing to evolve, becoming more powerful and practical, thus paving the way for continued technology innovation.”
Technologies that are on the rise include autonomous data collection and inspection technologies, which are expected to deliver benefits over the next five to 10 years. These include solutions like indoor-flying drones, which utilize AI-enabled vision or RFID to help with time-consuming inventory management, inspection, and surveillance tasks. The technology can also alleviate safety concerns that arise in warehouses, such as workers counting inventory in hard-to-reach places.
“Automating labor-intensive tasks can provide notable benefits,” Klappich said. “With AI capabilities increasingly embedded in mobile robots and drones, the potential to function unaided and adapt to environments will make it possible to support a growing number of use cases.”
Humanoid robots—which resemble the human body in shape—are among the technologies in the breakthrough stage, meaning that they are expected to have a transformational effect on supply chains, but their mainstream adoption could take 10 years or more.
“For supply chains with high-volume and predictable processes, humanoid robots have the potential to enhance or supplement the supply chain workforce,” Klappich also said. “However, while the pace of innovation is encouraging, the industry is years away from general-purpose humanoid robots being used in more complex retail and industrial environments.”
An eight-year veteran of the Georgia company, Hakala will begin his new role on January 1, when the current CEO, Tero Peltomäki, will retire after a long and noteworthy career, continuing as a member of the board of directors, Cimcorp said.
According to Hakala, automation is an inevitable course in Cimcorp’s core sectors, and the company’s end-to-end capabilities will be crucial for clients’ success. In the past, both the tire and grocery retail industries have automated individual machines and parts of their operations. In recent years, automation has spread throughout the facilities, as companies want to be able to see their entire operation with one look, utilize analytics, optimize processes, and lead with data.
“Cimcorp has always grown by starting small in the new business segments. We’ve created one solution first, and as we’ve gained more knowledge of our clients’ challenges, we have been able to expand,” Hakala said in a release. “In every phase, we aim to bring our experience to the table and even challenge the client’s initial perspective. We are interested in what our client does and how it could be done better and more efficiently.”
Although many shoppers will
return to physical stores this holiday season, online shopping remains a driving force behind peak-season shipping challenges, especially when it comes to the last mile. Consumers still want fast, free shipping if they can get it—without any delays or disruptions to their holiday deliveries.
One disruptor that gets a lot of headlines this time of year is package theft—committed by so-called “porch pirates.” These are thieves who snatch parcels from front stairs, side porches, and driveways in neighborhoods across the country. The problem adds up to billions of dollars in stolen merchandise each year—not to mention headaches for shippers, parcel delivery companies, and, of course, consumers.
Given the scope of the problem, it’s no wonder online shoppers are worried about it—especially during holiday season. In its annual report on package theft trends, released in October, the
security-focused research and product review firm Security.org found that:
17% of Americans had a package stolen in the past three months, with the typical stolen parcel worth about $50. Some 44% said they’d had a package taken at some point in their life.
Package thieves poached more than $8 billion in merchandise over the past year.
18% of adults said they’d had a package stolen that contained a gift for someone else.
Ahead of the holiday season, 88% of adults said they were worried about theft of online purchases, with more than a quarter saying they were “extremely” or “very” concerned.
But it doesn’t have to be that way. There are some low-tech steps consumers can take to help guard against porch piracy along with some high-tech logistics-focused innovations in the pipeline that can protect deliveries in the last mile. First, some common-sense advice on avoiding package theft from the Security.org research:
Install a doorbell camera, which is a relatively low-cost deterrent.
Bring packages inside promptly or arrange to have them delivered to a secure location if no one will be at home.
Consider using click-and-collect options when possible.
If the retailer allows you to specify delivery-time windows, consider doing so to avoid having packages sit outside for extended periods.
These steps may sound basic, but they are by no means a given: Fewer than half of Americans consider the timing of deliveries, less than a third have a doorbell camera, and nearly one-fifth take no precautions to prevent package theft, according to the research.
Tech vendors are stepping up to help. One example is
Arrive AI, which develops smart mailboxes for last-mile delivery and pickup. The company says its Mailbox-as-a-Service (MaaS) platform will revolutionize the last mile by building a network of parcel-storage boxes that can be accessed by people, drones, or robots. In a nutshell: Packages are placed into a weatherproof box via drone, robot, driverless carrier, or traditional delivery method—and no one other than the rightful owner can access it.
Although the platform is still in development, the company already offers solutions for business clients looking to secure high-value deliveries and sensitive shipments. The health-care industry is one example: Arrive AI offers secure drone delivery of medical supplies, prescriptions, lab samples, and the like to hospitals and other health-care facilities. The platform provides real-time tracking, chain-of-custody controls, and theft-prevention features. Arrive is conducting short-term deployments between logistics companies and health-care partners now, according to a company spokesperson.
The MaaS solution has a pretty high cool factor. And the common-sense best practices just seem like solid advice. Maybe combining both is the key to a more secure last mile—during peak shipping season and throughout the year as well.
The Boston-based enterprise software vendor Board has acquired the California company Prevedere, a provider of predictive planning technology, saying the move will integrate internal performance metrics with external economic intelligence.
According to Board, the combined technologies will integrate millions of external data points—ranging from macroeconomic indicators to AI-driven predictive models—to help companies build predictive models for critical planning needs, cutting costs by reducing inventory excess and optimizing logistics in response to global trade dynamics.
That is particularly valuable in today’s rapidly changing markets, where companies face evolving customer preferences and economic shifts, the company said. “Our customers spend significant time analyzing internal data but often lack visibility into how external factors might impact their planning,” Jeff Casale, CEO of Board, said in a release. “By integrating Prevedere, we eliminate those blind spots, equipping executives with a complete view of their operating environment. This empowers them to respond dynamically to market changes and make informed decisions that drive competitive advantage.”
Material handling automation provider Vecna Robotics today named Karl Iagnemma as its new CEO and announced $14.5 million in additional funding from existing investors, the Waltham, Massachusetts firm said.
The fresh funding is earmarked to accelerate technology and product enhancements to address the automation needs of operators in automotive, general manufacturing, and high-volume warehousing.
Iagnemma comes to the company after roles as an MIT researcher and inventor, and with leadership titles including co-founder and CEO of autonomous vehicle technology company nuTonomy. The tier 1 supplier Aptiv acquired Aptiv in 2017 for $450 million, and named Iagnemma as founding CEO of Motional, its $4 billion robotaxi joint venture with automaker Hyundai Motor Group.
“Automation in logistics today is similar to the current state of robotaxis, in that there is a massive market opportunity but little market penetration,” Iagnemma said in a release. “I join Vecna Robotics at an inflection point in the material handling market, where operators are poised to adopt automation at scale. Vecna is uniquely positioned to shape the market with state-of-the-art technology and products that are easy to purchase, deploy, and operate reliably across many different workflows.”