Optimization of Storage Allocation Using an Automatically Generated Warehouse Simulation Model

نویسندگان

  • T. M. K. Roeder
  • P. I. Frazier
  • R. Szechtman
  • E. Zhou
  • T. Huschka
  • Patrick Kirchhof
  • Tobias Stoehr
چکیده

Classical planning approaches of storage allocation decisions are often conducted iteratively with significant manual effort. Warehouse layouts are generated on the basis of planners’ experiences with the target to reduce the operators’ travel distances and thereby to increase productivity. By combining optimization and simulation in a software-based planning tool, a multitude of mathematically optimized storage allocation scenarios can be generated and analyzed to improve traditional planning approaches. This paper describes a practical case of a German automotive manufacturer’s warehouse allocation problem that is approached using an evolutionary meta-heuristic. The best solutions of the optimization are loaded into a large scale, automatically generated simulation model and evaluated using the company’s real-life data.

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تاریخ انتشار 2016