A Variable Block Insertion Heuristic for the Energy-Efficient Permutation Flowshop Scheduling with Makespan Criterion
dc.authorscopusid | 6505799356 | |
dc.authorscopusid | 57194232319 | |
dc.authorscopusid | 15074237600 | |
dc.authorscopusid | 55926629500 | |
dc.authorscopusid | 57220960559 | |
dc.contributor.author | Tasgetiren, M.F. | |
dc.contributor.author | Oztop, H. | |
dc.contributor.author | Pan, Q.-K. | |
dc.contributor.author | Ornek, M.A. | |
dc.contributor.author | Temizceri, T. | |
dc.date.accessioned | 2024-07-18T20:16:43Z | |
dc.date.available | 2024-07-18T20:16:43Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Permutation flow shop scheduling problem is a well-known problem in the scheduling literature. Even though various multi-objective permutation flowshop scheduling problems have been studied in the literature, energy consumption consideration in scheduling is still very seldom. In this paper, we consider a bi-objective permutation flowshop scheduling problem with the objectives of minimizing the total energy consumption and the makespan. We present a bi-objective mixed integer programming model for the problem applying a speed-scaling approach. Then, we employ the augmented ? -constraint method to generate the Pareto-optimal solution sets for small-sized instances. For larger instances, we use the augmented ? -constraint method with a time limit on CPLEX solver to approximate the Pareto frontiers. We also propose a heuristic approach, which employs a very recent variable block insertion heuristic algorithm. In order to evaluate performance of the proposed algorithm, we have carried out detailed computational experiments using well-known benchmarks from the literature. First, we present the performance of the proposed algorithm on small-sized problems; then, we show that the proposed algorithm is very effective to solve larger problems as compared with the time-limited CPLEX. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. | en_US |
dc.identifier.doi | 10.1007/978-3-030-58930-1_3 | |
dc.identifier.endpage | 49 | en_US |
dc.identifier.issn | 1860-949X | |
dc.identifier.scopus | 2-s2.0-85097956206 | en_US |
dc.identifier.scopusquality | Q4 | en_US |
dc.identifier.startpage | 33 | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-3-030-58930-1_3 | |
dc.identifier.uri | https://hdl.handle.net/11411/6209 | |
dc.identifier.volume | 906 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
dc.relation.ispartof | Studies in Computational Intelligence | en_US |
dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.title | A Variable Block Insertion Heuristic for the Energy-Efficient Permutation Flowshop Scheduling with Makespan Criterion | en_US |
dc.type | Book Chapter | en_US |