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The Past, Present, and Future of Technology in the Warehouse

Logistics Bureau

There’s another supervisor, and another over there, although you can hardly see her for all the operatives moving among the pick faces in that aisle. By automating tasks like picking, packing and inventory management businesses can be more productive and reduce human error.

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A First-Hand Look at Berkshire Grey’s Warehouse Robotic Solutions

Logistics Viewpoints

The operator places items to one of the two induction points (two induction points allow the workstation to maximize presentations). Robotic Picking. BG Robotic Picking and Placement of Individual Grocery Items from Bin (bottom: to plastic bags). Inventory totes arrive at an operator workstation. Final Word.

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Interoperability in the Supply Chain: Leveraging the OSI Model for Seamless Logistics

Logistics Viewpoints

Presentation Layer: Translates between data formats. For example, coordinating inventory management systems with demand forecasting tools. • Presentation Layer: Data Standardization In the supply chain, the presentation layer focuses on data translation and standardization. Network Layer: Manages data routing.

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Welcome to A Day at ProMat 2023

Logistics Viewpoints

A worker stages the robot in front of container doors, and it autonomously moves forward into the container under its own power and direction as it picks boxes, up to 60 lbs from the face and more weight if picked from the top, and places them onto attached conveyor that transports the loads out of the container.

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Robots Take Center Stage at MODEX 2024

Logistics Viewpoints

From autonomous mobile robots (AMRs) to collaborative robots (cobots) to industrial robots, robots are transforming the way goods are moved, stored, picked, packed, and shipped. Here are some of the examples that caught our attention. They can also work alongside humans or independently, depending on the task and the environment.

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Supercharging A Warehouse’s Performance With AI-Driven Computer Vision

Logistics Viewpoints

For example, if you want to train a computer vision system to recognize a dog’s image, you will start by using humans to look at tens of thousands of images of animals. The computer is then presented with those images. A WMS can drive almost perfect picking and inventory accuracy if SOPs are followed.

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5 Myths of Making Robots Work with People

Logistics Viewpoints

Myth #1 – Robots are well-suited for all picking styles Today there are AMR’s that can handle almost all styles of picking. Using AMRs as take-away or transport systems will eliminate some worker travel, but warehouses will still need to optimize pick rates and minimize worker travel within picking areas.