Energy-aware production lot-sizing and parallel machine scheduling with the product-specific machining tools and power requirements
dc.authorid | GURKAN, M. Edib/0000-0003-1961-0215 | |
dc.contributor.author | Sel, Cagri | |
dc.contributor.author | Gurkan, M. Edib | |
dc.contributor.author | Hamzadayi, Alper | |
dc.date.accessioned | 2024-09-29T15:55:08Z | |
dc.date.available | 2024-09-29T15:55:08Z | |
dc.date.issued | 2024 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | This study addresses a multi-product lot-sizing and scheduling problem with sequence-dependent setup times, considering that the machining operations cause energy consumption. The production facility comprises identical parallel machines under which the production of each product requires a certain set of tools. The energy requirement of production depends on the product-specific machining tools. The problem deals with determining the minimum cost lot-sizing and scheduling plan considering the energy capacity of the production facility. We formulate the problem as a mixed integer linear programming model by introducing energy consumption-related costs and constraints. We perform a case study on CNC milling and turning workshops. Further, we propose an heuristic approach combining a decomposition-based Simulated Annealing heuristic and Fix&Optimise algorithms to handle larger-sized problem instances. The computational performance of the proposed heuristic approach is evaluated against the proposed mixed integer linear programming model on a numerical study. Our numerical experiments reveal that the proposed heuristic approach is capable of providing cost-efficient solutions without compromising time efficiency. | en_US |
dc.identifier.doi | 10.1016/j.cie.2024.110503 | |
dc.identifier.issn | 0360-8352 | |
dc.identifier.issn | 1879-0550 | |
dc.identifier.scopus | 2-s2.0-85202037100 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.cie.2024.110503 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/4492 | |
dc.identifier.volume | 196 | en_US |
dc.identifier.wos | WOS:001302838700001 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Pergamon-Elsevier Science Ltd | en_US |
dc.relation.ispartof | Computers & Industrial Engineering | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Energy-aware planning | en_US |
dc.subject | Lot-sizing | en_US |
dc.subject | Scheduling | en_US |
dc.subject | Decomposition | en_US |
dc.subject | Simulated annealing | en_US |
dc.subject | MIP-based heuristic | en_US |
dc.title | Energy-aware production lot-sizing and parallel machine scheduling with the product-specific machining tools and power requirements | en_US |
dc.type | Article | en_US |