Volume 36, Issue 2 (3-2018)
2018, 36(2): 63-78 |
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Rabbani M, Afrazeh M H, Amini S, Farrokhi-Asl H. A Cyclical Integrated Production and Maintenance Systems Planning with Consideration of Identical Maintenance Periods. Computational Methods in Engineering 2018; 36 (2) :63-78
URL: http://jcme.iut.ac.ir/article-1-716-en.html
URL: http://jcme.iut.ac.ir/article-1-716-en.html
1- Department of Industrial Engineering, University of Tehran, Tehran, Iran , mrabani@ut.ac.ir
2- Department of Industrial Engineering, University of Tehran, Tehran, Iran
3- Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
4- Department of Inductrial Engineering, Iran University of Science and Technology, Tehran, Iran
2- Department of Industrial Engineering, University of Tehran, Tehran, Iran
3- Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
4- Department of Inductrial Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract: (4676 Views)
Integrating the concepts of maintenance and production planning strategies is one of the most recent and important issues for the reason of their effects on the final product price. This paper considers different situations for production lines, separately and independently, in ordinary time and overtime, assuming possibility of outsourcing. This paper aims to find an optimal maintenance strategy and to integrate maintenance strategy with production planning in batch production environment in order to reduce backorder sales and decrease the production and maintenance cost in the specified planning horizon. Therefore, a new mathematical formulation is proposed for this problem. The proposed mathematical model is solved with two metaheuristic algorithms, namely simulated annealing and harmony search algorithms, and the obtained results are compared with each other. Regarding numerical results, two applied algorithms show acceptable results and the performance of the algorithms are almost identical.
Keywords: Preventive maintenance, production planning, failure-prone manufacturing systems, integrated strategies.
Type of Study: Research |
Subject:
Special
Received: 2018/02/26 | Accepted: 2018/02/26 | Published: 2018/02/26
Received: 2018/02/26 | Accepted: 2018/02/26 | Published: 2018/02/26
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