Autonomous pallet stacker: AutoGuide Mobile Robots has expanded its Max N10 modular mobile robot line with the launch of the Max N10 pallet stacker. (See photo above.) The stacker, which features autonomous pallet finding and infrastructure-free navigation, is an extension of the company's base mobile robot platform configured with a newly designed attachment to enable pallet and rack handling.
The Max N10 pallet stacker serves as an automated counterbalanced lift truck that can pick and place pallets or racks from floor level, trailer decks, conveyors, and racks up to five feet high. Standard payload capacity is 1,770 pounds; a high-capacity version is available. (AutoGuide Mobile Robots)
Item-picking cobot:
Vanderlande, a supplier of process automation solutions for warehouses, has developed Smart Item Robotics (SIR) technology to enhance single-item picking in e-commerce fulfillment operations. The SIR system utilizes a collaborative robot—or "cobot"— that is able to work harmoniously in the same area as a human operator and has the ability to pick and place individual items, the company says.
SIR's applications include bin-to-bin picking, where the robot picks single products from a source bin and gently stacks them into the required order carton or bin, and bin-to-belt picking, in which the robot picks single items from a source bin before placing them on a belt. This can then feed a pocket sorter, packing machine, or other type of sorter.
The SIR solution can handle various products without SKU (stock-keeping unit) teaching. In addition, its "intelligent stacking" capability enables the efficient positioning of goods, while ensuring products are handled smoothly and securely. (Vanderlande)
Cube-mounted AS/RS:
Robot technology company AutoStore has introduced its new Black Line cube-based automated storage and retrieval system (AS/RS). The Black Line is an updated version of AutoStore's 23-year-old Red Line cube-based AS/RS, but for high-throughput operations. A cube-based AS/RS consists of a high-density storage system that is basically a cube-shaped metal grid and holds bins. Robot modules travel on top of that grid and pick bins from it.
The Black Line can pick up to 650 bins per hour in comparison with the Red Line, which has a maximum throughput of 350 bins per hour. The Black Line robots are slimmer and pick up the bins within the central cavity of the robot, instead of carrying them on top. This allows more room for the robots to pass one another. The robots are also lighter and faster than those used on the Red Line and are powered by BattPack lithium-ion batteries, which reduce the time needed for recharging.
AutoStore is also offering the new RelayPort workstation, where the operator picks from the bins delivered by the robots. The new system uses tabs for buffering, enabling the robots to queue up a line of bins, which allows for higher picking speeds. Companies will typically have five to 15 of these ports for picking. (AutoStore)
Robotic sorting solution:
Warehousing and logistics solutions provider Geek+ Robotics has introduced the MiniSort, a smart and flexible robotic sorting solution. The MiniSort solution, which uses the Geek+ S20 line of robots as sorting and transportation devices, can cut labor costs and boost efficiency in package-sorting applications, the company says.
The S20 series of robots used by MiniSort are adaptable when it comes to sorting products of different sizes and weights, and are capable of carrying packages. After palletization, Geek+ transport robots or unmanned forklifts can be used to deliver pallets to their corresponding buffer storage or truck areas, further reducing labor costs.
The robots use visual-inertial navigation and high-precision laser radar for obstacle avoidance to ensure workplace security; are capable of handling various product ranges and able to deliver packages weighing up to 44 pounds (20 kilograms); and support various features, including automatic matching with conveyor belts, product fall detection, and dynamic delivery. The system is capable of supporting intelligent gathering and deployment of several hundred robots, while at the same time ensuring uninterrupted 24-hour operation of the robotic system, the company says. (Geek+ Robotics)
Singulation solution:
Automated material handling solutions provider MHS has introduced a robotic singulation solution that's designed to address growing e-commerce order volumes and labor challenges facing distribution centers. The solution combines advanced robotic technologies to pick individual items from bulk flow to feed downstream processes.
Suitable for parcel-processing operations handling large quantities of smaller-sized packages, the robot uses vision software and algorithms to pick individual items from bulk flow and then properly orient and place them in a single-file stream for downstream sortation processes. The solution uses a vacuum-based end effector to reliably handle packaging types commonly found in e-commerce and parcel-processing environments, from corrugate cases to polybags. (MHS)
Robotics solutions: enVista, a global software solutions and consulting services firm, has launched a Robotics Practice to help companies overcome critical labor shortages in distribution and manufacturing as well as boost efficiency in their warehouse operations. The company says its engineers will develop custom solutions for clients in its robotics lab and testing facility in Chicago.
The firm's robotics solutions include proof-of-concept testing, operational and automation assessments, modeling and analytics, tailored engineering solutions, and a full robotics innovation and testing facility with industry-leading Fanuc robots.
EnVista's automation and robotics services team is composed of system-agnostic consultants as well as mechanical, electrical, and software engineers that focus on finding the optimal solution for a warehouse or distribution center's labor productivity and automation needs. (enVista)
Parcel giant FedEx Corp. is automating its fulfillment flows by investing in the AI robotics and autonomous e-commerce fulfillment technology firm Nimble, and announcing plans to use the San Francisco-based startup’s tech in its own returns network.
The move is significant because FedEx Supply Chain operates at a large scale, running more than 130 warehouse and fulfillment operations in North America and processing 475 million returns annually. According to FedEx, the “strategic alliance” will help to scale up FedEx Fulfillment with Nimble’s “fully autonomous 3PL model.”
“Our strategic alliance and financial investment with Nimble expands our footprint in the e-commerce space, helping to further scale our FedEx Fulfillment offering across North America,” Scott Temple, president, FedEx Supply Chain, said in a release. “Nimble’s cutting-edge AI robotics and autonomous fulfillment systems will help FedEx streamline operations and unlock new opportunities for our customers.”
According to Nimble founder and CEO Simon Kalouche, the collaboration will help enable FedEx to leverage Nimble’s “fast and cost-effective” fulfillment centers, powered by its intelligent general purpose warehouse robots and AI technology.
Nimble says that more than 90% of warehouses today still operate manually with minimal or no robotics, and even those automated warehouses use robots with limited intelligence that are restricted to just a few warehouse functions—primarily storage and retrieval. In contrast, Nimble says its “intelligent general-purpose warehouse robot” is capable of performing all core fulfillment functions including storage and retrieval, picking, packing, and sorting.
For the past seven years, third-party service provider ODW Logistics has provided logistics support for the Pelotonia Ride Weekend, a campaign to raise funds for cancer research at The Ohio State University’s Comprehensive Cancer Center–Arthur G. James Cancer Hospital and Richard J. Solove Research Institute. As in the past, ODW provided inventory management services and transportation for the riders’ bicycles at this year’s event. In all, some 7,000 riders and 3,000 volunteers participated in the ride weekend.
Photo courtesy of Dematic
For the past four years, automated solutions provider Dematic has helped support students pursuing careers in the STEM (science, technology, engineering, and mathematics) fields with its FIRST Scholarship program, conducted in partnership with the corporate nonprofit FIRST (For Inspiration and Recognition of Science and Technology). This year’s scholarship recipients include Aman Amjad of Brookfield, Wisconsin, and Lily Hoopes of Bonney Lake, Washington, who were each awarded $5,000 to support their post-secondary education. Dematic also awarded $1,000 scholarships to another 10 students.
Motive, an artificial intelligence (AI)-powered integrated operations platform, has launched an initiative with PGA Tour pro Jason Day to support the Navy SEAL Foundation (NSF). For every birdie Day makes on tour, Motive will make a contribution to the NSF, which provides support for warriors, veterans, and their families. Fans can contribute to the mission by purchasing a Jason Day Tour Edition hat at https://malbongolf.com/products/m-9189-blk-wht-black-motive-rope-hat.
MTS Logistics Inc., a New York-based freight forwarding and logistics company, raised more than $120,000 for autism awareness and acceptance at its 14th annual Bike Tour with MTS for Autism. All proceeds from the June event were donated to New Jersey-based nonprofit Spectrum Works, which provides job training and opportunities for young adults with autism.
The logistics process automation provider Vanderlande has agreed to acquire Siemens Logistics for $325 million, saying its specialty in providing value-added baggage and cargo handling and digital solutions for airport operations will complement Netherlands-based Vanderlande’s business in the warehousing, airports, and parcel sectors.
According to Vanderlande, the global logistics landscape is undergoing significant change, with increasing demand for efficient, automated systems. Vanderlande, which has a strong presence in airport logistics, said it recognizes the evolving trends in the sector and sees tremendous potential for sustained growth. With passenger travel on the rise and airports investing heavily in modernization, the long-term market outlook for airport automation is highly positive.
To meet that growing demand, the proposed transaction will significantly enhance customer value by providing accelerated access to advanced technologies, improving global presence for better local service, and creating further customer value through synergies in technology development, Vanderlande said.
In a statement, Nuremberg, Germany-based Siemens Logistics said that merging with Vanderlande would “have no operational impact on ongoing or new projects,” but that it would offer its current customers and employees significant development and value-add potential.
"As a distinguished provider of solutions for airport logistics, Siemens Logistics enjoys a first-class reputation in the baggage and air-cargo handling areas. Together with Vanderlande and our committed global teams, we look forward to bringing fresh impetus to the airport industry and to supporting our customers' business with future-oriented technologies," Michael Schneider, CEO of Siemens Logistics, said in a release.
I recently came across a report showing that 86% of CEOs around the world see resiliency problems in their supply chains, and that business leaders are spending more time than ever tackling supply chain-related challenges. Initially I was surprised, thinking that the lessons learned from the Covid-19 pandemic surely prepared industry leaders for just about anything, helping to bake risk and resiliency planning into corporate strategies for companies of all sizes.
But then I thought about the growing number of issues that can affect supply chains today—more frequent severe weather events, accelerating cybersecurity threats, and the tangle of emerging demands and regulations around decarbonization, to name just a few. The level of potential problems seems to be increasing at lightning speed, making it difficult, if not impossible, to plan for every imaginable scenario.
What is it Mike Tyson said? Everyone has a plan until they get punched in the mouth.
It has never been more important to be able to pivot and adjust to challenges that can throw you off your game. The report I referenced—the “2024 Supply Chain Barometer” from procurement, supply chain, and sustainability consulting firm Proxima—makes the case for just that. The company surveyed 3,000 CEOs from the United Kingdom, Europe, and the United States and found that the growing complexities in global supply chains necessitate a laser-sharp focus on this area of the business. One example: Rightshoring, which is the process of moving business operations to the best location, means companies are redesigning and reconfiguring their supply chains like never before. The study found that large numbers of CEOs are grappling with the various subsets of rightshoring: 44% said they are planning to or have already undertaken onshoring, for instance; 41% said they are planning to or have undertaken nearshoring; 41% said they are planning to or have undertaken friendshoring; and 35% said they are planning to or have undertaken offshoring.
But that’s not all. CEOs are also struggling to deal with the rise of artificial intelligence (AI) and its application to business processes, the potential for abuse and labor rights issues in their supply chains, and a growing number of barriers to their companies’ decarbonization efforts. For instance:
Nearly all of those surveyed (99%) said they are either using or considering the use of AI in their supply chains, with 82% saying they are planning new initiatives this year;
More than 60% said they are concerned about the potential for human or labor rights issues in their supply chains;
And virtually all (99%) said they face barriers to decarbonization, with 30% pointing to the complexity of the work required as the biggest barrier.
Those are big issues to contend with, so it’s no surprise that 96% of the CEOs Proxima surveyed said they are dedicating equal (41%) or more time (55%) to supply chain issues this year than last year. And changing economic conditions are adding to the complexity, according to the report.
“As inflation fell throughout last year, there were glimmers of markets stabilizing,” the authors wrote. “The reality, though, has been that global market dynamics are shifting. With no clear-set position for them to land in, CEOs must continue to navigate their organizations through an ever-changing landscape. Just 4% of CEOs foresee the amount of time spent on supply chain-related topics decreasing in the year ahead.”
Simon Geale, executive vice president and chief procurement officer at Proxima, added some perspective.
“It’s fair to say that the complexities of global supply chains continue to have CEOs around the world scratching their heads,” he wrote. “The results of this year’s Barometer show that business leaders are spending more and more time tackling supply chain challenges, reflecting the multiple challenges to address.”
Perhaps the extra focus on supply chain issues will help organizations improve their ability to roll with the punches and overcome resiliency challenges in the year ahead. Only time will tell.
Investing in artificial intelligence (AI) is a top priority for supply chain leaders as they develop their organization’s technology roadmap, according to data from research and consulting firm Gartner.
AI—including machine learning—and Generative AI (GenAI) ranked as the top two priorities for digital supply chain investments globally among more than 400 supply chain leaders surveyed earlier this year. But key differences apply regionally and by job responsibility, according to the research.
Twenty percent of the survey’s respondents said they are prioritizing investments in traditional AI—which analyzes data, identifies patterns, and makes predictions. Virtual assistants like Siri and Alexa are common examples. Slightly less (17%) said they are prioritizing investments in GenAI, which takes the process a step further by learning patterns and using them to generate text, images, and so forth. OpenAI’s ChatGPT is the most common example.
Despite that overall focus, AI lagged as a priority in Western Europe, where connected industry objectives remain paramount, according to Gartner. The survey also found that business-led roles are much less enthusiastic than their IT counterparts when it comes to prioritizing the technology.
“While enthusiasm for both traditional AI and GenAI remain high on an absolute level within supply chain, the prioritization varies greatly between different roles, geographies, and industries,” Michael Dominy, VP analyst in Gartner’s Supply Chain practice, said in a statement announcing the survey results. “European respondents were more likely to prioritize technologies that align with Industry 4.0 objectives, such as smart manufacturing. In addition to region differences, certain industries prioritize specific use cases, such as robotics or machine learning, which are currently viewed as more pragmatic investments than GenAI.”
The survey also found that:
Twenty-six percent of North American respondents identified AI, including machine learning, as their top priority, compared to 14% of Western Europeans.
Fourteen percent of Western European respondents identified robots in manufacturing as their top choice compared to just 1% of North American respondents.
Geographical variances generally correlated with industry-specific priorities; regions with a higher proportion of manufacturing respondents were less likely to select AI or GenAI as a top digital priority.
Digging deeper into job responsibilities, just 12% of respondents with business-focused roles indicated GenAI as a top priority, compared to 28% of IT roles. The data may indicate that GenAI use cases are perceived as less tangible and directly tied to core supply chain processes, according to Gartner.
“Business-led roles are traditionally more comfortable with prioritizing established technologies, and the survey data suggests that these business-led roles still question whether GenAI can deliver an adequate return on investment,” said Dominy. “However, multiple industries including retail, industrial manufacturers and high-tech manufacturers have already made GenAI their top investment priority.”