4.7 Article

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

Journal

EXPERT SYSTEMS WITH APPLICATIONS
Volume 141, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2019.112959

Keywords

Unrelated parallel machines; Scheduling; Sequence dependent setup times; Makespan; Additional resources; GRASP

Funding

  1. Spanish Ministerio de Economia y competitividad - FEDER funds [MTM2016-74983, DPI2015-65895-R]
  2. Ministerio de Ciencia, Innovacion y Universidades under grant Optimizacion de Operaciones en Terminales Portuarias (OPTEP) [RTI2018-094940-B-100]
  3. Universitat Politecnica de Valencia [PAID-06-18, SP20180164]
  4. El Instituto Colombiano de Credit Educativo y Estudios Tecnicos en el Exterior - ICETEX under program Pasaporte a la ciencia - Doctorado

Ask authors/readers for more resources

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. (C) 2019 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available