Constraint Programming and constructive heuristics for parallel machine scheduling with sequence-dependent setups and common servers
| Result of project: | Cluster 4.0 – Methodology of System Integration |
| ID project: | EF16_026/0008432 |
| Authors: | Vilém Heinz, Antonín Novák, Marek Vlk, Zdeněk Hanzálek |
| Published in: | Computers & Industrial Engineering Volume 172, Part A, October 2022, 108586 |
| Link: | https://www.sciencedirect.com/science/article/abs/pii/S0360835222005836 |
| DOI: | https://doi.org/10.1016/j.cie.2022.108586 |
Abstract:
This paper examines scheduling problem denoted as P|seq,ser|Cmax in Graham’s notation; in other words, scheduling of tasks on parallel identical machines (P) with sequence-dependent setups (seq) each performed by one of the available servers (ser). The goal is to minimize the makespan (Cmax). We propose a Constraint Programming (CP) model for finding the optimal solution and constructive heuristics suitable for large problem instances. These heuristics are also used to provide a feasible starting solution to the proposed CP model, significantly improving its efficiency. This combined approach constructs solutions for benchmark instances of up to 20 machines and 500 tasks in 10 s, with makespans 3 % to 11.5 % greater than the calculated lower bounds with a 5% average. The extensive experimental comparison also shows that our proposed approaches outperform the existing ones.
This project has received funding from the Ministry of Education, Youth and Sports, program Operational Programme Research, Development and Education under agreement No. EF16_026/0008432.
