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Information Journal Paper

Title

Providing a model to optimize preventive maintenance schedules for multi-component systems using GA

Pages

  137-160

Keywords

genetic algorithm (GA)Q2

Abstract

 In this paper, a non-periodic Preventive Maintenance scheduling optimization model for multi-component systems is provided based on the maximum availability of system components. In addition to providing the required level of system reliability and satisfy other system constraints (maintenance activities and available resources), total Costs (direct and indirect) associated with minimal maintenance and, if necessary, one of the maintenance activities include in inspected and serviced simple, preventive repair and preventive replacement for each component, is proposed. Each of these activities uses various sources and regarding the position of the repairing component, effects differently on the reliability of the system. The Costs considered include in direct Costs (simple service, repair and replacement) as well as indirect Costs (out of order and random failures). Since the proposed model has a complex structure, in order to solve the problem, the Genetic Algorithm (G. A) has been used and the results is presented. In the end, performance and use of this model, for a 10-part series-parallel is presented in the form of a case study.

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  • Cite

    APA: Copy

    Sajedinejad, Arman, & Lotfi, Meysam. (2020). Providing a model to optimize preventive maintenance schedules for multi-component systems using GA. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 17(55 ), 137-160. SID. https://sid.ir/paper/390945/en

    Vancouver: Copy

    Sajedinejad Arman, Lotfi Meysam. Providing a model to optimize preventive maintenance schedules for multi-component systems using GA. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2020;17(55 ):137-160. Available from: https://sid.ir/paper/390945/en

    IEEE: Copy

    Arman Sajedinejad, and Meysam Lotfi, “Providing a model to optimize preventive maintenance schedules for multi-component systems using GA,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 17, no. 55 , pp. 137–160, 2020, [Online]. Available: https://sid.ir/paper/390945/en

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