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.
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."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.
That challenge is one of the reasons that fewer shoppers overall are satisfied with their shopping experiences lately, Lincolnshire, Illinois-based Zebra said in its “17th Annual Global Shopper Study.”th Annual Global Shopper Study.” While 85% of shoppers last year were satisfied with both the in-store and online experiences, only 81% in 2024 are satisfied with the in-store experience and just 79% with online shopping.
In response, most retailers (78%) say they are investing in technology tools that can help both frontline workers and those watching operations from behind the scenes to minimize theft and loss, Zebra said.
Just 38% of retailers currently use AI-based prescriptive analytics for loss prevention, but a much larger 50% say they plan to use it in the next 1-3 years. That was followed by self-checkout cameras and sensors (45%), computer vision (46%), and RFID tags and readers (42%) that are planned for use within the next three years, specifically for loss prevention.
Those strategies could help improve the brick and mortar shopping experience, since 78% of shoppers say it’s annoying when products are locked up or secured within cases. Adding to that frustration is that it’s hard to find an associate while shopping in stores these days, according to 70% of consumers. In response, some just walk out; one in five shoppers has left a store without getting what they needed because a retail associate wasn’t available to help, an increase over the past two years.
The survey also identified additional frustrations faced by retailers and associates:
challenges with offering easy options for click-and-collect or returns, despite high shopper demand for them
the struggle to confirm current inventory and pricing
lingering labor shortages and increasing loss incidents, even as shoppers return to stores
“Many retailers are laying the groundwork to build a modern store experience,” Matt Guiste, Global Retail Technology Strategist, Zebra Technologies, said in a release. “They are investing in mobile and intelligent automation technologies to help inform operational decisions and enable associates to do the things that keep shoppers happy.”
The survey was administered online by Azure Knowledge Corporation and included 4,200 adult shoppers (age 18+), decision-makers, and associates, who replied to questions about the topics of shopper experience, device and technology usage, and delivery and fulfillment in store and online.
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.