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GRASP algorithm for the unrelated parallel machine scheduling problem with setup times and additional resources

Authors :
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Agencia Estatal de Investigación
Ministerio de Economía y Empresa
European Regional Development Fund
Universitat Politècnica de València
Ministerio de Economía y Competitividad
Instituto Colombiano de Crédito Educativo y Estudios Técnicos en el Exterior
Yepes-Borrero, Juan C.
Villa Juliá, Mª Fulgencia
Perea Rojas Marcos, Federico
Caballero-Villalobos, Juan Pablo
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Agencia Estatal de Investigación
Ministerio de Economía y Empresa
European Regional Development Fund
Universitat Politècnica de València
Ministerio de Economía y Competitividad
Instituto Colombiano de Crédito Educativo y Estudios Técnicos en el Exterior
Yepes-Borrero, Juan C.
Villa Juliá, Mª Fulgencia
Perea Rojas Marcos, Federico
Caballero-Villalobos, Juan Pablo
Publication Year :
2020

Abstract

[EN] This paper provides practitioners with new approaches for solving realistic scheduling problems that consider additional resources, which can be implemented on expert and intelligent systems and help decision making in realistic settings. More specifically, we study the unrelated parallel machine scheduling problem with setup times and additional limited resources in the setups (UPMSR-S), with makespan minimization criterion. This is a more realistic extension of the traditional problem, in which the setups are assumed to be done without using additional resources (e.g. workers). We propose three metaheuristics following two approaches: a first approach that ignores the information about additional resources in the constructive phase, and a second approach that takes into account this information about the resources. Computational experiments are carried out over a benchmark of small and large instances. After the computational analysis we conclude that the second approach shows an excellent performance, overcoming the first approach.

Details

Database :
OAIster
Notes :
TEXT, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1258889517
Document Type :
Electronic Resource