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Autor:
Beeks, Martijn, Refaei Afshar, Reza, Zhang, Yingqian, Dijkman, Remco, van Dorst, Claudy, de Looijer, Stijn, Kumar, Akshat, Thiebaux, Sylvie, Varakantham, Pradeep, Yeoh, William
Publikováno v:
Proceedings of the 32nd International Conference on Automated Planning and Scheduling, ICAPS 2022, 32, 435-443
On-time delivery and low service costs are two important performance metrics in warehousing operations. This paper proposes a Deep Reinforcement Learning (DRL) based approach to solve the online Order Batching and Sequence Problem (OBSP) to optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9dac57cce3c8607756f537683228409
https://research.tue.nl/en/publications/c88715e7-e353-4d3d-983e-d3c8839efde1
https://research.tue.nl/en/publications/c88715e7-e353-4d3d-983e-d3c8839efde1
