Heuristics and simulated annealing procedures for the accessibility windows assembly line problem level 1 (AWALBP-L1)

In some assembly lines, the workpieces are larger than the workstations. This implies that at a given instant the workstations have access to only a portion of the workpieces. In this context, the accessibility windows assembly line balancing problem (AWALBP) arises. In the AWALBP, the cycle is spli...

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Detalles Bibliográficos
Autores: García Villoria, Alberto|||0000-0003-4048-2465, Corominas Subias, Albert|||0000-0002-4795-7761, Pastor Moreno, Rafael|||0000-0002-6188-4458
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/80146
Acceso en línea:https://hdl.handle.net/2117/80146
https://dx.doi.org/10.1016/j.cor.2015.04.001
Access Level:acceso abierto
Palabra clave:Heuristic algorithms.
Assembly-line balancing
Assembly line balancing
Accessibility windows
Programació heurística
Treball en cadena
Programació lineal
Àrees temàtiques de la UPC::Economia i organització d'empreses
Descripción
Sumario:In some assembly lines, the workpieces are larger than the workstations. This implies that at a given instant the workstations have access to only a portion of the workpieces. In this context, the accessibility windows assembly line balancing problem (AWALBP) arises. In the AWALBP, the cycle is split into forward steps and stationary stages. The workpieces advance during the forward steps and the tasks are processed during the stationary stages. In each stationary stage, the workstations have access to different parts of the workpieces. This work solves the first level of AWALBP (AWALBP-L1), which consists in assigning the tasks among the workstations and stationary stages. Specifically, it is considered the AWALBP-L1 case in which the tasks can be processed in several workstations and their processing times depend on the workstation in which the tasks are processed. To solve the problem, we propose several heuristics and simulated annealing procedures. An extensive computational experiment is carried out to evaluate their performance