Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/11370
Title: Crane-operated warehouses : integrating location assignment and crane scheduling.
Authors: Heshmati, Sam
Toffolo, Túlio Ângelo Machado
Vancroonenburg, Wim
Berghe, Greet Vanden
Keywords: Crane interference
Issue Date: 2019
Citation: HESHMATI, S. et al. Crane-operated warehouses : integrating location assignment and crane scheduling. Computers & Industrial Engineering, v. 129, p. 274-295, mar. 2019. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0360835219300452>. Acesso em: 19 mar. 2019.
Abstract: Crane-operated warehouses constitute an essential asset for the many industries which must temporarily store products on their way from manufacturers to consumers. Such warehouses are a practical necessity rather than an explicitly desired service and they introduce significant operational costs which should be minimized. The problem addressed by the current paper, the Crane-operated Warehouse Scheduling Problem (CWSP), concerns the location assignment of input products and the scheduling of cranes for product movement in such warehouses. Several constraints are associated with the problem, for example certain products should not be stored close to each other (due perhaps to a difference in temperature or aroma) and cranes must respect operational safety distances between each other in order to prevent dangerous collisions. The present paper explores a novel methodology which combines these two decisions – location assignment and crane scheduling - instead of solving them sequentially. In addition to mathematical formulations for location assignment and crane scheduling, both an integrated mathematical formulation and a fast heuristic are presented for the CWSP. The quality of the mathematical formulation and the heuristic are compared against the conventional sequential approaches. Experimentation upon an extensive range of instances show significantly improved results are attainable when integrating location assignment and crane scheduling, despite some (expected) increase in computational time.
URI: http://www.repositorio.ufop.br/handle/123456789/11370
metadata.dc.identifier.uri2: https://www.sciencedirect.com/science/article/pii/S0360835219300452
metadata.dc.identifier.doi: https://doi.org/10.1016/j.cie.2019.01.039
ISSN: 0360-8352
Appears in Collections:DECOM - Artigos publicados em periódicos

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