Abstract
This paper targeted at multiobjective integration optimization of equipment maintenance and production scheduling. We take all speed parallel machines as an example, providing that flexible periodic preventive maintenance and repair maintenance is adopted as the maintenance strategy. A mixed integrated mathematical model is constructed simultaneously including makespan, maintenance cost, total tardiness time and considering JIT strategy. A Pareto-based multiobjective hybrid variable neighborhood genetic algorithm is designed to solve the model. The computational results show that it is efficient, and is advantageous over standard genetic algorithms. Finally, the effectiveness of the model and the algorithm are validated via a given case.
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Zhang, Js., Lou, Hy., Liu, Yr. (2019). Joint Optimization of Flexible Periodic Preventive Maintenance and Nonidentical Parallel Machines Scheduling with Consideration of Delivery on Time. In: Huang, G., Chien, CF., Dou, R. (eds) Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-3402-3_9
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DOI: https://doi.org/10.1007/978-981-13-3402-3_9
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