Choosing the right storage system: How machine learning can support strategic decisions in warehousing
New publication of the Chair of Management Science/Operations Research
2022/01/29
It is not seldom that the choice of a warehousing system for a given demand structure confronts decision-makers with an almost insoluble task. The amount of different systems is overwhelming and each system has countless configuration possibilities. Jelmer Pier van der Gaast and Felix Weidinger show in their paper “A deep learning approach for the selection of an order picking system” that and how machine learning can support this important strategic decision.
The article has been published in the European Journal of Operational Research:
