The hybrid flow shop scheduling problem (HFSP) with unrelated parallel machines (UPMs), sequence-dependent setup times (SDSTs), and inter-stage transportation times has recently emerged as a prominent research topic. To address this scheduling problem with the objective of minimizing the maximum completion time (makesp...
The findings demonstrate how mathematical optimization and advanced metaheuristics can be combined with problem-specific structural insights to improve solution quality and computational efficiency in production and operations research.
Experimental results show that the improved algorithm achieves an optimal Makespan value of 190 in dynamic disturbance scenarios and exhibits strong robustness, providing an efficient and feasible solution for job shop scheduling in complex production environments.
Jianguo Du, Chengkun Li, Zijie Tang· ITM Web of Conferences· 0 citations
This research examines the suitability of two new local search-based metaheuristics (i.e., Simulated Annealing (SA) and Particle Swarm Optimisation (PSO)) for addressing single-machine scheduling problems in terms of two complementary objective functions: and . We also analyze the interaction of the two objective...
Iraq T. Abbas, R. J. Mitlif· Iraqi Journal of Science· 0 citations
This paper investigates a new transportation problem arising in automotive parts milk-run logistics under a business contract in which the payment for each vehicle is determined by the maximum direct shipment cost among its assigned suppliers, plus a fixed stop-off charge for each additional supplier. The company deter...
Wei Xiao, Yu-Miao Huang, Si-Ping Min et al.· Applied Sciences· 0 citations
These findings demonstrate the effectiveness and adaptability of the proposed framework for energy-aware flexible job shop scheduling and show that the BLDMA framework achieves better non-dominated solution sets on the tested instances.
Jia-Yu Liu, Juin-Han Chen, Hai-Yang Liu et al.· International Journal of Ind...· 0 citations
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