Sel, CagriGurkan, M. EdibHamzadayi, Alper2025-05-102025-05-1020240360-83521879-055010.1016/j.cie.2024.1105032-s2.0-85202037100https://doi.org/10.1016/j.cie.2024.110503https://hdl.handle.net/20.500.14720/11326Gurkan, M. Edib/0000-0003-1961-0215This 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.eninfo:eu-repo/semantics/closedAccessEnergy-Aware PlanningLot-SizingSchedulingDecompositionSimulated AnnealingMip-Based HeuristicArticle196Q1Q1WOS:001302838700001