A multi-objective selective maintenance optimization method for series-parallel systems using NSGA-III and NSGA-II evolutionary algorithms

IF 2.8 3区工程技术 Q2 ENGINEERING, MANUFACTURING

Advances in Production Engineering & Management Pub Date : 2021-09-30 DOI:10.14743/apem2021.3.407

E. Xu, M. S. Yang, Y. Li, X. Q. Gao, Z.Y. Wang, L. Ren

引用次数: 5

Abstract

Aiming at the problem that the downtime is simply assumed to be constant and the limited resources are not considered in the current selective maintenance of the series-parallel system, a three-objective selective maintenance model for the series-parallel system is established to minimize the maintenance cost, maximize the probability of completing the next task and minimize the downtime. The maintenance decision-making model and personnel allocation model are combined to make decisions on the optimal length of each equipment’s rest period, the equipment to be maintained during the rest period and the maintenance level. For the multi-objective model established, the NSGA-III algorithm is designed to solve the model. Comparing with the NSGA-II algorithm that only considers the first two objectives, it is verified that the designed multi-objective model can effectively reduce the downtime of the system.

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基于NSGA-III和NSGA-II进化算法的串并联系统多目标选择性维护优化方法

针对当前串并联系统选择性维修中简单假定停机时间为常数且不考虑有限资源的问题，以维护成本最小、完成下一任务的概率最大、停机时间最小为目标，建立了串并联系统的三目标选择性维修模型。将维修决策模型与人员配置模型相结合，对每台设备的最佳休整时间、休整期间需要维修的设备以及维修水平进行决策。针对所建立的多目标模型，设计NSGA-III算法对模型进行求解。通过与只考虑前两个目标的NSGA-II算法的比较，验证了所设计的多目标模型能够有效地减少系统的停机时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Production Engineering & Management ENGINEERING, MANUFACTURINGMATERIALS SCIENC-MATERIALS SCIENCE, MULTIDISCIPLINARY

CiteScore

5.90

自引率

22.20%

发文量

期刊介绍： Advances in Production Engineering & Management (APEM journal) is an interdisciplinary international academic journal published quarterly. The main goal of the APEM journal is to present original, high quality, theoretical and application-oriented research developments in all areas of production engineering and production management to a broad audience of academics and practitioners. In order to bridge the gap between theory and practice, applications based on advanced theory and case studies are particularly welcome. For theoretical papers, their originality and research contributions are the main factors in the evaluation process. General approaches, formalisms, algorithms or techniques should be illustrated with significant applications that demonstrate their applicability to real-world problems. Please note the APEM journal is not intended especially for studying problems in the finance, economics, business, and bank sectors even though the methodology in the paper is quality/project management oriented. Therefore, the papers should include a substantial level of engineering issues in the field of manufacturing engineering.