A deep learning approach for the selection of an order picking system

Autor: van der Gaast, Jelmer Pier, Weidinger, Felix

Publikováno v: In European Journal of Operational Research 16 October 2022 302(2):530-543

A Tabu Search Algorithm for application placement in computer clustering

Autor: van der Gaast, Jelmer P., Rietveld, Cornelius A., Gabor, Adriana F., Zhang, Yingqian

Publikováno v: In Computers and Operations Research October 2014 50:38-46

Conveyor Merges in Zone Picking Systems: A Tractable and Accurate Approximate Model

Autor: Gaast, Jelmer, de Koster, Rene, Adan, IJBF, Resing, JAC

Publikováno v: Transportation Science, 52(6), 1428-1443. INFORMS
Transportation Science, 52(6), 1428-1443. INFORMS Institute for Operations Research and the Management Sciences
Transportation Science, 52(6). INFORMS Institute for Operations Research and the Management Sciences

Sequential zone picking systems are popular conveyor-based picker-to-parts order picking systems that divide the order picking area in work zones. When designing a zone picking system, it is important to know whether the throughput capability of the

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https://research.rug.nl/en/publications/55592067-ad78-40d6-b9c4-e8a5655a2f61

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Application of closed queuing network in the performance of a pick-and-pass order picking system

Autor: Gaast, Jelmer, de Koster, Rene, Adan, IJBF, Resing, JAC, Tan, B.

Publikováno v: VIIIth Conference on Stochastic Models of Manufacturing and Service Operations, 35-44
STARTPAGE=35;ENDPAGE=44;TITLE=VIIIth Conference on Stochastic Models of Manufacturing and Service Operations

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::1f8558c382f76ad420b517b0b65b9bd6
https://pure.eur.nl/en/publications/7eb3a715-25e7-4c35-aaa7-388be7443384