The prospect of losing three key employees to retirement proved to be just the impetus switch-maker Saia-Burgess needed to automate its warehouse operations.
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.
In one sense, three employees at Saia-Burgess's Vandalia, Ohio, warehouse provided the impetus for dramatic changes in operations by leaving the company. The three announced that they planned to retire, and senior management, seeking to rein in labor costs, decided they would not be replaced.
That caused operations managers to look closely at what were largely manual operations and rethink how they handled order fulfillment. And the changes they implemented resulted in a leaner, more efficient warehouse operation.
Crunch time
A division of Johnson Electric, Saia-Burgess produces solenoids, switches, and motion solutions that are used by original equipment manufacturers in a variety of products, including ATMs, security monitoring systems, and medical devices. The Vandalia manufacturing facility, one of two that the company operates in the United States, includes a small onsite warehouse that holds parts and components needed for manufacturing as well as for filling orders from the company's 3,000 or so customers.
Until just over a year ago, items housed in the 7,000-square-foot warehouse were stored in bins on shelving. But that system had become increasingly unworkable over time. As the number of SKUs stored at the site swelled to 10,000, the warehouse ran up against a space shortage, which eventually forced the company to rent an offsite overflow storage facility.
At the time, picking was largely a manual process. When items were needed for manufacturing or order fulfillment, workers would select the products by hand using paper pick lists, filling one order at a time. But there were a couple of drawbacks to this approach. To begin with, it was time-consuming. The average order consists of 250 pieces, which meant workers spent a lot of time trudging up and down the aisles in search of various parts and components.
The process was also error prone. With workers picking to lengthy pick lists, it's probably no surprise that accuracy hovered below 94 percent. Beyond that, the work tended to be physically challenging. In some cases, workers had to climb a ladder to retrieve bins that weighed as much as 75 pounds.
On top of that, the process was inefficient. Because pickers were going out to retrieve items order by order, there was a lot of picking redundancy. "We would build one kit at a time working against a work order or a sales order," recalls Tim O'Brien, the company's materials manager. "But we would find ourselves going to the same bins several times a day."
The problem came to a head when three of the five pickers announced plans to retire, and word came down that no replacements would be hired. That meant managers needed to quickly come up with a way to accomplish the same amount of work, if not more, with less than half the previous staff. The only way to do that and still maintain high service levels, company managers concluded, was through automation.
Riding along on a carousel
After investigating several options, Saia-Burgess found a solution in horizontal carousels from Remstar. The units, which feature an oval track with rotating shelved bins that deliver items to the operator, promised to solve two of the operation's most pressing problems: space and labor. The four carousels Saia-Burgess installed can accommodate some 70 percent of the parts and components that used to sit on shelving; now, only the larger bulk items are stored on the shelves. Plus, with the new automated system, work that used to take five people can now be done with two. (The two remaining workers operate on different shifts, with one person primarily responsible for replenishing the carousels and the other handling picking tasks.)
Today, the picking process looks far different than it did a year or so ago. To begin with, the paper lists are gone. The entire picking process is now managed by sophisticated software. Remstar's FastPic software interfaces with Saia-Burgess's Movex materials requirement planning system to manage the picking within the storage carousels. The two software systems also keep track of inventories independently, which is helpful when it comes to verifying and cross-checking information on what parts and components are currently on hand.
Under the new system, the four carousels all feed into a single workstation, where the picker can batch pick items for up to six orders at once. This represents a huge leap in efficiency over the old system because it allows any SKUs needed for multiple orders to be picked at one time.
As parts are needed, a carousel spins to the first pick location. Indicator lights attached to the carousels direct the picking, telling the worker the exact locations of products within the carousel's bins and how many to select for each order. Lights at a put counter also illuminate, showing which of the selected parts go with each order. While the picker is busy selecting parts from the first carousel, other carousel units spin to locations holding parts for subsequent picks. Once an order is completed, the parts are loaded onto a cart for delivery to a specific assembly area or to shipping.
Faster, better, cheaper
In the year since the carousels were installed, Saia-Burgess has seen multiple benefits. To begin with, both its space and labor issues have been resolved. The carousels offer much higher-density storage than the shelves did, with the entire system occupying only 5,000 square feet. This has freed up around 2,000 square feet of warehouse space that the company has since converted to value-added manufacturing and an expanded shipping area. The denser storage has also eliminated the need for the offsite warehouse, saving the company $4,000 a month in rent.
In addition, the company has cut its labor needs by 60 percent with no sacrifice in accuracy. Picking accuracy currently stands at around 99 percent—a huge improvement over the sub-94 percent recorded with the manual system. The automated system also makes it easy for pickers to pull "hot" orders, like replacement parts that are urgently needed in the assembly operations. All the carousel operator has to do is push a button to interrupt the pick sequence so he or she can retrieve the needed part.
Safety has also improved because there's no longer any need for workers to climb ladders or lift heavy bins. Instead, work comes to them. And because fast-moving SKUs are placed in the carousels at kneeto- shoulder height, the need for bending is minimized.
Security has been enhanced as well. Since it began storing items in the carousels and not on open shelves, Saia-Burgess has seen a decline in loss and shrinkage.
Taken together, these benefits have added up quickly. Saia-Burgess reports that it saw a return on its investment in carousels in only 18 months.
Looking back at the decision today, the investment in carousels seems like a can't-miss proposition. But O'Brien reports that senior management initially had its doubts about whether this was the right solution for Saia-Burgess. That's all changed, he says. "We are getting by with fewer people now, which we could not do without the carousels. They now know that this project has been a success."
A move by federal regulators to reinforce requirements for broker transparency in freight transactions is stirring debate among transportation groups, after the Federal Motor Carrier Safety Administration (FMCSA) published a “notice of proposed rulemaking” this week.
According to FMCSA, its draft rule would strive to make broker transparency more common, requiring greater sharing of the material information necessary for transportation industry parties to make informed business decisions and to support the efficient resolution of disputes.
The proposed rule titled “Transparency in Property Broker Transactions” would address what FMCSA calls the lack of access to information among shippers and motor carriers that can impact the fairness and efficiency of the transportation system, and would reframe broker transparency as a regulatory duty imposed on brokers, with the goal of deterring non-compliance. Specifically, the move would require brokers to keep electronic records, and require brokers to provide transaction records to motor carriers and shippers upon request and within 48 hours of that request.
Under federal regulatory processes, public comments on the move are due by January 21, 2025. However, transportation groups are not waiting on the sidelines to voice their opinions.
According to the Transportation Intermediaries Association (TIA), an industry group representing the third-party logistics (3PL) industry, the potential rule is “misguided overreach” that fails to address the more pressing issue of freight fraud. In TIA’s view, broker transparency regulation is “obsolete and un-American,” and has no place in today’s “highly transparent” marketplace. “This proposal represents a misguided focus on outdated and unnecessary regulations rather than tackling issues that genuinely threaten the safety and efficiency of our nation’s supply chains,” TIA said.
But trucker trade group the Owner-Operator Independent Drivers Association (OOIDA) welcomed the proposed rule, which it said would ensure that brokers finally play by the rules. “We appreciate that FMCSA incorporated input from our petition, including a requirement to make records available electronically and emphasizing that brokers have a duty to comply with regulations. As FMCSA noted, broker transparency is necessary for a fair, efficient transportation system, and is especially important to help carriers defend themselves against alleged claims on a shipment,” OOIDA President Todd Spencer said in a statement.
Additional pushback came from the Small Business in Transportation Coalition (SBTC), a network of transportation professionals in small business, which said the potential rule didn’t go far enough. “This is too little too late and is disappointing. It preserves the status quo, which caters to Big Broker & TIA. There is no question now that FMCSA has been captured by Big Broker. Truckers and carriers must now come out in droves and file comments in full force against this starting tomorrow,” SBTC executive director James Lamb said in a LinkedIn post.
The “series B” funding round was financed by an unnamed “strategic customer” as well as Teradyne Robotics Ventures, Toyota Ventures, Ranpak, Third Kind Venture Capital, One Madison Group, Hyperplane, Catapult Ventures, and others.
The fresh backing comes as Massachusetts-based Pickle reported a spate of third quarter orders, saying that six customers placed orders for over 30 production robots to deploy in the first half of 2025. The new orders include pilot conversions, existing customer expansions, and new customer adoption.
“Pickle is hitting its strides delivering innovation, development, commercial traction, and customer satisfaction. The company is building groundbreaking technology while executing on essential recurring parts of a successful business like field service and manufacturing management,” Omar Asali, Pickle board member and CEO of investor Ranpak, said in a release.
According to Pickle, its truck-unloading robot applies “Physical AI” technology to one of the most labor-intensive, physically demanding, and highest turnover work areas in logistics operations. The platform combines a powerful vision system with generative AI foundation models trained on millions of data points from real logistics and warehouse operations that enable Pickle’s robotic hardware platform to perform physical work at human-scale or better, the company says.
Bloomington, Indiana-based FTR said its Trucking Conditions Index declined in September to -2.47 from -1.39 in August as weakness in the principal freight dynamics – freight rates, utilization, and volume – offset lower fuel costs and slightly less unfavorable financing costs.
Those negative numbers are nothing new—the TCI has been positive only twice – in May and June of this year – since April 2022, but the group’s current forecast still envisions consistently positive readings through at least a two-year forecast horizon.
“Aside from a near-term boost mostly related to falling diesel prices, we have not changed our Trucking Conditions Index forecast significantly in the wake of the election,” Avery Vise, FTR’s vice president of trucking, said in a release. “The outlook continues to be more favorable for carriers than what they have experienced for well over two years. Our analysis indicates gradual but steadily rising capacity utilization leading to stronger freight rates in 2025.”
But FTR said its forecast remains unchanged. “Just like everyone else, we’ll be watching closely to see exactly what trade and other economic policies are implemented and over what time frame. Some freight disruptions are likely due to tariffs and other factors, but it is not yet clear that those actions will do more than shift the timing of activity,” Vise said.
The TCI tracks the changes representing five major conditions in the U.S. truck market: freight volumes, freight rates, fleet capacity, fuel prices, and financing costs. Combined into a single index indicating the industry’s overall health, a positive score represents good, optimistic conditions while a negative score shows the inverse.
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."