Morvarid Derakhshan Andisheh Journal of Quality Engineering and Management 3134-0849 11 1 2021 05 22 Optimizing the program of preventive maintenance of the series-parallel system: A case study of the water supply system of power plants Optimizing the program of preventive maintenance of the series-parallel system: A case study of the water supply system of power plants 45 60 136216 10.48313/jqem.2021.136216 FA Ali Heydari Masters, Department of Industrial Engineering, University of Kurdistan, Mahmoud Shahrokhi Mahmoud Shahrokhi Associate Professor, Department of Industrial Engineering, University of Kurdistan, Journal Article 2021 02 03 In this research, a Multi-Objective model for reliability-centered preventive maintenance planning for a production system with parallel series components is developed. In this model, maintenance costs and cost of failures; including the cost of lost production, due to system shutdown are considered. In this way, this model plans preventive maintenance operations with the aim of increasing the system reliability level, with the lowest total cost. A binary nonlinear program is developed and a numerical example is solved for it and the results are discussed. To solve the proposed model, the Augmented Epsilon Constraint Method (AUGMECON) by GAMS software is used and the results are discussed. The results show the effect of preventive service planning on system failure rate and reliability. The proposed approach can be used to plan maintenance of industrial systems by considering the reliability related costs<br /><strong> </strong><br /> <br />  In this research, a Multi-Objective model for reliability-centered preventive maintenance planning for a production system with parallel series components is developed. In this model, maintenance costs and cost of failures; including the cost of lost production, due to system shutdown are considered. In this way, this model plans preventive maintenance operations with the aim of increasing the system reliability level, with the lowest total cost. A binary nonlinear program is developed and a numerical example is solved for it and the results are discussed. To solve the proposed model, the Augmented Epsilon Constraint Method (AUGMECON) by GAMS software is used and the results are discussed. The results show the effect of preventive service planning on system failure rate and reliability. The proposed approach can be used to plan maintenance of industrial systems by considering the reliability related costs<br /><strong> </strong><br /> <br />  https://www.pqprc.ir/article_136216_c7a1870e9e97821ef82129984a556256.pdf