The CSS perspective: Smart conveyance and predictive maintenance
Experts from the conveyor and sortation industry share how new technologies built into today’s sophisticated systems help identify maintenance issues before breakdowns can happen.
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.
Like many technologies, conveyors and sortation systems become more sophisticated with every iteration. Sensors are now built into them to monitor performance so that they can operate more efficiently and economically, while predicting maintenance needs well in advance to allow the work to be done when it’s most convenient.
Group Editorial Director David Maloney recently met with three experts who are all members of MHI’s Conveyor and Sortation Solutions Group (CSS), an industry organization that brings equipment and systems suppliers together with end-users to collaborate and address common challenges and opportunities. What follows are some excerpts from their discussion on how these newer technologies are impacting operations.
Q: One term used to describe some of the intelligence built into today’s conveyors and sorters is smart conveyance. How would you define that for our readers?
Doug Schuchart – Beckhoff: When I think of the term smart conveyance, I think of it referring to multicarrier transport systems that use linear or planar motor technology. Linear track systems have the coils of a motor in a track. In this technology, you’re energizing those coils to move magnetic carriers around in a material handling system.
Planar motor technology is actually very similar, but those coils are in a base of flat tiles, and then the magnetic mover is levitating and has 6 degrees of motion that can move with virtual tracks around the base.
And then there are motorized driven roller conveyors, or MDR, that have motors within a roller to drive the conveying surface. What makes these technologies smart is that we’re able to pull a lot of data through those systems back to the central controller.
Ty Keller – FMH Conveyors: There are several types of equipment that complement the components Doug mentioned, that I would consider part of a smart conveyance system: equipment used for scanning, labeling, measuring, machine learning, or performing any number of actions to collect data for the central controller to turn into inputs for the smart conveyor. Then the smart conveyor takes the product where it needs to go.
Q: Do the same technologies associated with smart conveyance also apply to sortation systems?
Doug Schuchart– Beckhoff: Yes, these technologies can also apply to sortation. For example, what makes planar motor technologies really compelling is that they can replace multiple pieces of equipment in a fulfillment operation. So when we’re looking at material handling for conveyance, sortation, or accumulation—all of those can be handled with planar motor technology.
All of these technologies that we’re talking about are generally controlled with a fieldbus that can capture data from the system and then send the data to the centralized control system to be analyzed. The data can also be sent to the cloud to do further analysis and then make some decisions. And maybe you’re applying some artificial intelligence (AI) to the system for predictive maintenance or better optimization of paths, for instance. All of those would be ways to make the system smarter.
Q: Speaking of maintenance, can you give some examples of how these technologies can help prevent downtime?
Ty Keller – FMH Conveyors: It allows the user to monitor the usage of equipment, to know the exact number of hours in operation and the environment that the conveyor is working in. It can also read things like vibration, temperature, and pressure to help predict when the equipment is going to have issues. If we’re maintaining it appropriately, the equipment will last longer.
This information can also be used to determine preventative maintenance contracts with outside third parties. With the right technology, those contracts can be based on when it is best to perform preventative maintenance instead of a regular maintenance schedule. That’s obviously a more attractive return on investment for the end-user.
Brandon Willard – Banner: There are really four types of maintenance in my mind. There’s reactive maintenance, which is something is broken and we have to go and fix it—the motor is down and that critical conveyance is creating an issue for us.
There’s preventative maintenance, which is scheduled, regularly performed maintenance to reduce failures and is a great step up from just reactive maintenance.
The next step is predictive maintenance, which is using sensors and software to be able to predict failure. It is collecting data to be able to understand when a failure is about to take place so that you can act before it creates downtime and expense.
And then there is one beyond it, which is prescriptive maintenance. This is taking that data and using machine learning to be able to predict failures and identify solutions. If you can take that data that you get from predictive maintenance and use it to service the equipment optimally, then you’re able to extend the life of this type of conveyance. That’s where the value lies.
Q: Can you provide an example of how that might work using smart conveying systems and creating a prescriptive maintenance program?
Brandon Willard – Banner: We could look at vibration data, temperature data, pressure data, and how much electrical current is being drawn. We first want to baseline what that machinery looks like when it’s operating functionally. Then when we see a sharp curve compared to the baseline, we know when a product is about to fail. Sensors on bearings may detect vibration in multiple directions, while other sensors show increases in temperature resulting from rubbing or tearing on a belt or something else that is going wrong. Those vibrations or higher temperatures usually start to spike pretty quickly.
Then applying machine learning, the systems can give a warning threshold. For example, the belt may be rubbing on one side. All we need to do is re-center the belt. Nothing really has to be replaced, but the alerts allow you to check before the belt tears all the way and you’re not able to re-center it. Different warning levels and alerts allow you to protect your assets more efficiently.
Doug Schuchart– Beckhoff: I think we’re talking about a lot of different benefits, such as a reduction of manpower in the facility. We’re also talking about improving reliability and quality of a system. All of those things provide different advantages collectively. We talk to customers about that whole ROI and why you would want to invest in a more automated smart system as opposed to some traditional systems that don’t have that technology.
The New York-based industrial artificial intelligence (AI) provider Augury has raised $75 million for its process optimization tools for manufacturers, in a deal that values the company at more than $1 billion, the firm said today.
According to Augury, its goal is deliver a new generation of AI solutions that provide the accuracy and reliability manufacturers need to make AI a trusted partner in every phase of the manufacturing process.
The “series F” venture capital round was led by Lightrock, with participation from several of Augury’s existing investors; Insight Partners, Eclipse, and Qumra Capital as well as Schneider Electric Ventures and Qualcomm Ventures. In addition to securing the new funding, Augury also said it has added Elan Greenberg as Chief Operating Officer.
“Augury is at the forefront of digitalizing equipment maintenance with AI-driven solutions that enhance cost efficiency, sustainability performance, and energy savings,” Ashish (Ash) Puri, Partner at Lightrock, said in a release. “Their predictive maintenance technology, boasting 99.9% failure detection accuracy and a 5-20x ROI when deployed at scale, significantly reduces downtime and energy consumption for its blue-chip clients globally, offering a compelling value proposition.”
The money supports the firm’s approach of "Hybrid Autonomous Mobile Robotics (Hybrid AMRs)," which integrate the intelligence of "Autonomous Mobile Robots (AMRs)" with the precision and structure of "Automated Guided Vehicles (AGVs)."
According to Anscer, it supports the acceleration to Industry 4.0 by ensuring that its autonomous solutions seamlessly integrate with customers’ existing infrastructures to help transform material handling and warehouse automation.
Leading the new U.S. office will be Mark Messina, who was named this week as Anscer’s Managing Director & CEO, Americas. He has been tasked with leading the firm’s expansion by bringing its automation solutions to industries such as manufacturing, logistics, retail, food & beverage, and third-party logistics (3PL).
Supply chains continue to deal with a growing volume of returns following the holiday peak season, and 2024 was no exception. Recent survey data from product information management technology company Akeneo showed that 65% of shoppers made holiday returns this year, with most reporting that their experience played a large role in their reason for doing so.
The survey—which included information from more than 1,000 U.S. consumers gathered in January—provides insight into the main reasons consumers return products, generational differences in return and online shopping behaviors, and the steadily growing influence that sustainability has on consumers.
Among the results, 62% of consumers said that having more accurate product information upfront would reduce their likelihood of making a return, and 59% said they had made a return specifically because the online product description was misleading or inaccurate.
And when it comes to making those returns, 65% of respondents said they would prefer to return in-store, if possible, followed by 22% who said they prefer to ship products back.
“This indicates that consumers are gravitating toward the most sustainable option by reducing additional shipping,” the survey authors said in a statement announcing the findings, adding that 68% of respondents said they are aware of the environmental impact of returns, and 39% said the environmental impact factors into their decision to make a return or exchange.
The authors also said that investing in the product experience and providing reliable product data can help brands reduce returns, increase loyalty, and provide the best customer experience possible alongside profitability.
When asked what products they return the most, 60% of respondents said clothing items. Sizing issues were the number one reason for those returns (58%) followed by conflicting or lack of customer reviews (35%). In addition, 34% cited misleading product images and 29% pointed to inaccurate product information online as reasons for returning items.
More than 60% of respondents said that having more reliable information would reduce the likelihood of making a return.
“Whether customers are shopping directly from a brand website or on the hundreds of e-commerce marketplaces available today [such as Amazon, Walmart, etc.] the product experience must remain consistent, complete and accurate to instill brand trust and loyalty,” the authors said.
When you get the chance to automate your distribution center, take it.
That's exactly what leaders at interior design house
Thibaut Design did when they relocated operations from two New Jersey distribution centers (DCs) into a single facility in Charlotte, North Carolina, in 2019. Moving to an "empty shell of a building," as Thibaut's Michael Fechter describes it, was the perfect time to switch from a manual picking system to an automated one—in this case, one that would be driven by voice-directed technology.
"We were 100% paper-based picking in New Jersey," Fechter, the company's vice president of distribution and technology, explained in a
case study published by Voxware last year. "We knew there was a need for automation, and when we moved to Charlotte, we wanted to implement that technology."
Fechter cites Voxware's promise of simple and easy integration, configuration, use, and training as some of the key reasons Thibaut's leaders chose the system. Since implementing the voice technology, the company has streamlined its fulfillment process and can onboard and cross-train warehouse employees in a fraction of the time it used to take back in New Jersey.
And the results speak for themselves.
"We've seen incredible gains [from a] productivity standpoint," Fechter reports. "A 50% increase from pre-implementation to today."
THE NEED FOR SPEED
Thibaut was founded in 1886 and is the oldest operating wallpaper company in the United States, according to Fechter. The company works with a global network of designers, shipping samples of wallpaper and fabrics around the world.
For the design house's warehouse associates, picking, packing, and shipping thousands of samples every day was a cumbersome, labor-intensive process—and one that was prone to inaccuracy. With its paper-based picking system, mispicks were common—Fechter cites a 2% to 5% mispick rate—which necessitated stationing an extra associate at each pack station to check that orders were accurate before they left the facility.
All that has changed since implementing Voxware's Voice Management Suite (VMS) at the Charlotte DC. The system automates the workflow and guides associates through the picking process via a headset, using voice commands. The hands-free, eyes-free solution allows workers to focus on locating and selecting the right item, with no paper-based lists to check or written instructions to follow.
Thibaut also uses the tech provider's analytics tool, VoxPilot, to monitor work progress, check orders, and keep track of incoming work—managers can see what orders are open, what's in process, and what's completed for the day, for example. And it uses VoxTempo, the system's natural language voice recognition (NLVR) solution, to streamline training. The intuitive app whittles training time down to minutes and gets associates up and working fast—and Thibaut hitting minimum productivity targets within hours, according to Fechter.
EXPECTED RESULTS REALIZED
Key benefits of the project include a reduction in mispicks—which have dropped to zero—and the elimination of those extra quality-control measures Thibaut needed in the New Jersey DCs.
"We've gotten to the point where we don't even measure mispicks today—because there are none," Fechter said in the case study. "Having an extra person at a pack station to [check] every order before we pack [it]—that's been eliminated. Not only is the pick right the first time, but [the order] also gets packed and shipped faster than ever before."
The system has increased inventory accuracy as well. According to Fechter, it's now "well over 99.9%."
IT projects can be daunting, especially when the project involves upgrading a warehouse management system (WMS) to support an expansive network of warehousing and logistics facilities. Global third-party logistics service provider (3PL) CJ Logistics experienced this first-hand recently, embarking on a WMS selection process that would both upgrade performance and enhance security for its U.S. business network.
The company was operating on three different platforms across more than 35 warehouse facilities and wanted to pare that down to help standardize operations, optimize costs, and make it easier to scale the business, according to CIO Sean Moore.
Moore and his team started the WMS selection process in late 2023, working with supply chain consulting firm Alpine Supply Chain Solutions to identify challenges, needs, and goals, and then to select and implement the new WMS. Roughly a year later, the 3PL was up and running on a system from Körber Supply Chain—and planning for growth.
SECURING A NEW SOLUTION
Leaders from both companies explain that a robust WMS is crucial for a 3PL's success, as it acts as a centralized platform that allows seamless coordination of activities such as inventory management, order fulfillment, and transportation planning. The right solution allows the company to optimize warehouse operations by automating tasks, managing inventory levels, and ensuring efficient space utilization while helping to boost order processing volumes, reduce errors, and cut operational costs.
CJ Logistics had another key criterion: ensuring data security for its wide and varied array of clients, many of whom rely on the 3PL to fill e-commerce orders for consumers. Those clients wanted assurance that consumers' personally identifying information—including names, addresses, and phone numbers—was protected against cybersecurity breeches when flowing through the 3PL's system. For CJ Logistics, that meant finding a WMS provider whose software was certified to the appropriate security standards.
"That's becoming [an assurance] that our customers want to see," Moore explains, adding that many customers wanted to know that CJ Logistics' systems were SOC 2 compliant, meaning they had met a standard developed by the American Institute of CPAs for protecting sensitive customer data from unauthorized access, security incidents, and other vulnerabilities. "Everybody wants that level of security. So you want to make sure the system is secure … and not susceptible to ransomware.
"It was a critical requirement for us."
That security requirement was a key consideration during all phases of the WMS selection process, according to Michael Wohlwend, managing principal at Alpine Supply Chain Solutions.
"It was in the RFP [request for proposal], then in demo, [and] then once we got to the vendor of choice, we had a deep-dive discovery call to understand what [security] they have in place and their plan moving forward," he explains.
Ultimately, CJ Logistics implemented Körber's Warehouse Advantage, a cloud-based system designed for multiclient operations that supports all of the 3PL's needs, including its security requirements.
GOING LIVE
When it came time to implement the software, Moore and his team chose to start with a brand-new cold chain facility that the 3PL was building in Gainesville, Georgia. The 270,000-square-foot facility opened this past November and immediately went live running on the Körber WMS.
Moore and Wohlwend explain that both the nature of the cold chain business and the greenfield construction made the facility the perfect place to launch the new software: CJ Logistics would be adding customers at a staggered rate, expanding its cold storage presence in the Southeast and capitalizing on the location's proximity to major highways and railways. The facility is also adjacent to the future Northeast Georgia Inland Port, which will provide a direct link to the Port of Savannah.
"We signed a 15-year lease for the building," Moore says. "When you sign a long-term lease … you want your future-state software in place. That was one of the key [reasons] we started there.
"Also, this facility was going to bring on one customer after another at a metered rate. So [there was] some risk reduction as well."
Wohlwend adds: "The facility plus risk reduction plus the new business [element]—all made it a good starting point."
The early benefits of the WMS include ease of use and easy onboarding of clients, according to Moore, who says the plan is to convert additional CJ Logistics facilities to the new system in 2025.
"The software is very easy to use … our employees are saying they really like the user interface and that you can find information very easily," Moore says, touting the partnership with Alpine and Körber as key to making the project a success. "We are on deck to add at least four facilities at a minimum [this year]."