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Nader A. Al Theeb,Mohammed S. Obeidat,Manar Aljarrah,Theyab A. Alhwiti 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.4
A single machine scheduling problem with sequence-dependent setup times and setup costs has a critical role in manufacturing and service sectors to minimize orders delays and costs. This study provides multiple objectives model tosolve the single machine total weighted tardiness and setup costs scheduling problem associated with sequencedependent setup times and sequence-dependent setup costs (MOSTWTSCSD). The objectives are to minimize thetotal weighted tardiness and the total setup costs for all jobs without any certain relationship between the setup timeand the setup cost, as happened in some machines. An alternative heuristic procedure based on discrete particle swarmoptimization (DPSO) is suggested to find representative Pareto front (non-dominated) solutions. Many efficient methods have been used inside the DPSO to improve its performance. Results show that the ability of the suggested solution approach to provide a representative Pareto fronts in reasonable computational efforts compared with anotherheuristic.