GRASP algorithm for the unrelated parallel machine scheduling problem with setup times and additional resources
[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 machi...
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Zusammenfassung: | [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.
The first three authors would like to acknowledge the support from Spanish "Ministerio de Economia y competitividad" throughout grant number MTM2016-74983 and grant "SCHEYARD - Optimization of Scheduling Problems in Container Yards" (No. DPI2015-65895-R), financed by FEDER funds, the support from "Ministerio de Ciencia, Innovacion y Universidades" under grant "Optimizacion de Operaciones en Terminales Portuarias (OPTEP)" (No.RTI2018-094940-B-100). Thanks are also due to the Universitat Politecnica de Valencia under grant SP20180164 of the program Primeros Proyectos de Investigacion (PAID-06-18), Vicerrectorado de Investigacion, Innovacion y Transferencia. Juan C. Yepes-Borrero acknowledges financial support by the El Instituto Colombiano de Credit Educativo y Estudios Tecnicos en el Exterior - ICETEX under program Pasaporte a la ciencia - Doctorado. Special thanks are due to two anonymous referees for their valuable comments.
Yepes-Borrero, JC.; Villa Juliá, MF.; Perea Rojas Marcos, F.; Caballero-Villalobos, JP. (2020). GRASP algorithm for the unrelated parallel machine scheduling problem with setup times and additional resources. Expert Systems with Applications. 141:1-12. https://doi.org/10.1016/j.eswa.2019.112959 |
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