Integration of ANP and DEA methods for evaluating efficiency of maintenance strategies

Ehsan Pourjavad, H. Shirouyehzad, A. Shahin
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引用次数: 4

Abstract

Selecting a suitable maintenance strategy has become an important challenge for facility/maintenance managers in most companies, and it keeps coming up because of complex equipment and variety of maintenance plans. The main purpose of this paper is to propose a prompt method to evaluate the efficiency of maintenance strategies and determine the optimum one. To further investigate this issue, an integration of analytic network process (ANP) and data envelopment analysis (DEA) methods are employed. At first, the weight of each criterion is calculated by ANP method and the ratio of weights of criteria is employed as a restriction. Then the weight of each criterion for maintenance strategies will be determined by paired comparison of maintenance strategies related to criteria. These weights are taken into account as inputs and outputs of DEA model. Finally, the efficiency of maintenance strategies will be calculated by DEA. In this research, the efficiency of five maintenance strategies is examined according to four criteria; cost, reliability, maintainability, availability for one class of equipment at Chadormalu Mining Industrial Company. It results in that TPM and CBM strategies have been confirmed to be the optimum strategies for maintaining this equipment.
基于ANP和DEA方法的维修策略效率评价
选择合适的维护策略已成为大多数公司设施/维护管理人员面临的重要挑战,并且由于设备复杂和维护计划的多样性,这一挑战不断出现。本文的主要目的是提出一种快速评估维修策略效率并确定最佳维修策略的方法。为了进一步研究这一问题,本文采用分析网络过程(ANP)和数据包络分析(DEA)相结合的方法。首先采用ANP法计算各准则的权值,并以各准则权值之比作为约束条件;然后通过对与维护策略相关的维护策略进行配对比较,确定维护策略各准则的权重。将这些权重作为DEA模型的输入和输出。最后,通过DEA计算维修策略的效率。在本研究中,根据四个标准对五种维修策略的效率进行了检验;成本,可靠性,可维护性,可用性一类设备在Chadormalu矿业公司。结果表明,TPM和CBM策略是维护该设备的最佳策略。
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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