![]() It is the job of the industrial engineer to balance the trade-offs between maximizing order picking productivity building high-stability outbound pallets and ensuring work place ergonomics and operator safety. ![]() Order picking often accounts for 40 – 45% of the direct labor force within a distribution center. 30,000+ pounds) of product during a normal work shift. In many distribution centers, it is not unusual for an order selector to pick 15+ tons (i.e. Without doubt, full case order picking is one of the most physically demanding jobs in the distribution industry because operators must repetitively lift and stack heavy cases of merchandise throughout the work day. If you have ever witnessed a conventional high volume full case distribution center then you can appreciate just how hard the job of order selection can be. We expect that you will be hearing significantly more about autonomous mobile robots in the years ahead. The technologies differ in their design and approach but they are both generating interest within industries that are characterized by labor intensive order picking operations. In this article we review two early market entrants (Kollmorgen and Seegrid) that have developed two different solutions for driverless or autonomous mobile equipment. Is this is an exciting new opportunity to improve the safety, ergonomics and productivity associated with full case order picking which is the most labor-intensive job in many distribution operations? Or is it a technology that is just a passing fad? The concept involves autonomous mobile robots (AMRs) such as pallet jacks or forklifts such that order selectors no longer need to get on and off of the vehicle as part of the picking process. This article discusses a technology that is being experimented with at distribution centers in Europe and the United States. Increasing Productivity with Autonomous Mobile Robots Full Case Picking - Increasing Productivity by 25%+ With Driverless Trucks Leadership in Global Supply Chain and Logistics Consulting
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