2748. Mathematical Models and Algorithms for Warehouse Execution System (WES)
Invited abstract in session TA-58: Warehouse Operations, stream Vehicle Routing and Logistics.
Tuesday, 8:30-10:00Room: Liberty 1.13
Authors (first author is the speaker)
| 1. | Takufumi Yoshida
|
Abstract
Japan’s logistics industry faces serious challenges, including an increase in cargo volume and a severe labor shortage. In warehouses, the adoption of automation and AI technologies to enhance operational efficiency while reducing manpower dependency has become an urgent issue.
To address these challenges, we have developed a Warehouse Execution System (WES) that serves as an intermediary between the central Warehouse Management System (WMS) and multiple distributed Warehouse Control Systems (WCSs). The WES leverages data collected from the WMS to provide WCSs with valuable instructions and recommendations, thereby enhancing overall warehouse operations. To enable seamless collaboration between WMS and WCSs, the WES offers a suite of visualization, simulation, and optimization functions to support warehouse operations effectively.
At the conference, we will present mathematical models and algorithms designed for the WES optimization suite, including:
• Person-Robot Dispatching: Determines whether goods from storage should be assigned to a human worker or a robot to maximize throughput.
• Truck-Berth Allocation: Schedules truck loading and unloading at warehouse berths to minimize driver waiting time.
• Real-Time Personnel Reassignment: Predicts work progress in different warehouse areas and suggests personnel redistribution to balance workload across sections.
These optimizations enhance warehouse efficiency and adaptability in dynamic environments.
Keywords
- Logistics
- Warehouse Design, Planning, and Control
- Scheduling
Status: accepted
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