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

Authors: Ehsan Pourjavad; Hadi Shirouyehzad; Arash Shahin

Addresses: Industrial Systems Engineering, University of Regina, 3737 Wascana Parkway, Regina, SK, S4S 0A2, Canada ' Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Postal Code: 81399-66387, Navid Al., Omid St., Khanehesfahan St., Isfahan, Iran ' Department of Management, University of Isfahan, 1.242, Saeb Avenue, 81848-13713, Isfahan, Iran

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.

Keywords: analytic network process; ANP; data envelopment analysis; DEA; maintenance strategy; mining industry; efficiency.

DOI: 10.1504/IJMTM.2020.108016

International Journal of Manufacturing Technology and Management, 2020 Vol.34 No.4, pp.311 - 330

Received: 20 Nov 2015
Accepted: 11 May 2016

Published online: 14 Apr 2020 *

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