One company wanted a better way to store and retrieve heavy pallet loads, while another needed a system for handling tiny electronic components. The answer for both? An AS/RS.
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.
Automated storage and retrieval systems (AS/RS) are among the most flexible of material handling technologies. They're able to store everything from large, heavy pallet loads to small, lightweight parts. The chief selling point of these systems is their ability to track inventory and deliver it when needed to fulfill orders.
The two main types of automated storage and retrieval systems are those used for storing large items on pallets and those used to store smaller items in totes, also known as miniload systems. What follows are the stories of two companies with very different requirements that each found the answer to its storage needs in an AS/RS.
THE CREAM RISES TO THE TOP
The thing about ice cream is that it has to remain frozen or it quickly turns to ice goop. The right technology, such as a pallet AS/RS housed within a large freezer, can help it keep its cool.
Since its founding in 1907, Blue Bell Creameries has become one of the best-known ice cream brands in the South. Headquartered in Brenham, Texas (near Houston), the company produces ice cream at three main plants in Brenham as well as in Alabama and Oklahoma. The ice cream is sold in 20 southern and western states.
The company attributes its success and steady growth to its model of doing only direct-to-store delivery, without any middlemen or wholesalers involved. "It allows us to control the quality," says Paul Prazak, manager of plant operations at the Brenham production facility.
Direct delivery requires that the ice cream be readily accessible so that the product that hits the stores is as fresh as possible. Using automated storage helps Blue Bell achieve that goal. Last year, the Brenham production building installed a new pallet automated storage and retrieval system. It replaced a storage system originally installed in 1982 that required an operator to ride along on the cranes to help gather items. That system did not offer the capacity or speed that Blue Bell would need in order to keep up with growing production and inventory volumes.
The new AS/RS from Daifuku Webb stores the ice cream on pallets within racking. Frozen ice cream can be quite heavy, so using pallets to hold product has proved to be both effective and space-efficient. The facility uses mainly dedicated pallets to assure that products can be easily handled by the automated system. Workers then select products from these dedicated pallets to fulfill customer orders.
The new AS/RS sits in the same footprint as the old system. "We just did not have the real estate to add on to the building," explains Prazak. "The new automation fits very nicely in that 275- by 75-foot space."
Although the footprint remains the same, the new system holds much more product than its predecessor. That's because the roof was raised by 40 feet. The system contains 7,720 storage locations in five aisles, each with a fast-moving storage crane. Compared with the old system, the new system operates more quickly, efficiently, and reliably. And an operator no longer needs to ride along, which has allowed those workers to be assigned elsewhere in the facility. The entire system sits within a huge freezer space, keeping the ice cream at a chilly 20 degrees below zero Fahrenheit.
The company produces about 40 different ice cream flavors at a time that are typically sold to the public in half-gallon containers. It also produces ice cream products in a variety of other packagings. In all, a total of about 250 stock-keeping units (SKUs) are held in the automated storage system. Most will be there less than a month before they're selected for orders. Some ingredients are also stored in the system.
In addition to the AS/RS, Daifuku Webb also supplied two shuttle car systems to transport pallets to and from the automated system and to nearby traditional racking, where slower-moving SKUs are held. One loop is found on each end of the five aisles. Six shuttle cars ferry products to the input side of the AS/RS on about 400 feet of track. Here, they drop off products to be picked up by the five AS/RS cranes for putaway. Four additional shuttle cars handle output duties on a loop consisting of over 300 feet of track. Both systems also feed the stationary rack areas, which, like the AS/RS, are housed within the large freezer warehouse.
The input end of the racks features an additional input/output station on a second level. This gives the operation the flexibility to process additional volumes during peak periods and accommodate products coming from the other two production plants. It also provides redundancy if one of the main input or output stations is down for maintenance.
The new AS/RS is able to handle up to 250 pallets in and out per hour, and it has provided the additional capacity that Blue Bell Creamery needs now and for the future. On top of that, it has reduced labor needs, which means fewer people have to work in the freezer's arctic conditions. "It gave us the room to grow," says Prazak. "It has also been very reliable and gives us the throughput we need while minimizing labor."
PARTS PERFECT
It's said that good things come in small packages, and Phoenix Contact would certainly agree. The German company is a worldwide manufacturer of industrial electronics and control products, most of which consist of small items. In order to house all of those tiny parts and components, its U.S. operations installed a miniload automated storage and retrieval system at its manufacturing and distribution facility in Middletown, Pa. The AS/RS, supplied by viastore systems, holds finished goods manufactured in Middletown, imported items for distribution in North and South America, and raw materials used in production. In all, about 95 percent of the company's stock-keeping units (SKUs) can be housed in the system.
The four-aisle AS/RS was originally installed as part of an expansion to the Middletown facility that took place in 2008. Since then, the system has been expanded and now boasts seven aisles (with room to expand to 12) and more than 70,000 tote storage locations. "Totes" is the key word here, as using totes is vital to reducing human touches. "The whole [supply chain] system is designed around our totes," says Lou Paioletti, director of supply chain services. "We repack virtually nothing."
While some parts are manufactured in Middletown, the vast majority of inventory comes from Germany. These parts are packed overseas into the same totes that will be used to house the products within the AS/RS. The totes are loaded into ocean and air shipping containers that are owned by Phoenix Contact. Middletown receives three or four containers every week by boat as well as a daily air shipment. Upon arrival, the totes are removed and inducted directly into the AS/RS.
Eliminating the need to repack items into other storage containers has greatly simplified the receiving process. "We can receive a sea container in less than a day using only [the equivalent of] three and a half people. Before the automation, it took seven people two and a half days to receive the same container," Paioletti reports.
As parts are needed for orders, the warehouse management system (also supplied by viastore) issues instructions for the appropriate totes to be delivered to 10 goods-to-person picking stations. A computer screen displays which of five sizes of cartons should be used to pack the order. It also indicates how many of each item to select. Some of the totes may contain as many as four different SKUs, separated by dividers. To confirm that the correct part has been selected, the worker is asked to scan the item's bar code. In all, approximately 7,500 picks are made daily.
The selected items are placed into a shipping carton, and a packing slip, bar-code label, and shipping label are printed right at the station. The worker completes the order by applying the labels and sealing the carton.
Once a tote has been emptied, the container is filled with products manufactured in Middletown for shipment back to Germany. They are loaded into the company-owned shipping containers for transport back to Europe as part of an efficient closed-loop system.
As for how the new system is working out, the reports are decidedly positive. "The receiving process from day one has been a dream come true," says Paioletti. "Before, we had a separate packing area; now that has been eliminated by combining the picking and packing at the goods-to-person stations. It is so much easier now."
The automated system has also cut picking errors in half, while providing a robust accuracy rate of 99.9 percent. On top of that, Phoenix Contact has seen productivity improve by 45 percent.
But those productivity gains haven't translated into job losses; workers have instead been reassigned to other functions, Paioletti explains. "Even with the labor savings, we have never had a layoff in the history of our company," he says. "If we did not have the automation, however, we would need a larger footprint and a lot more people."
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."