Development of Fuzzy Multi Criteria Decision Making Method for Selection of Optimum Maintenance Alternative

Abstract

An optimal maintenance strategy is a key support to production in the manufacturing industry. This paper present a fuzzy approach based on Multi-Criteria Decision-Making (MCDM) methodology for selecting the optimal maintenance alternative. In the present work the criticality of each equipment is achieved by ranking (based on production loss).It is very difficult to quantify the qualitative factors in exact numerical value. These factors can be expressed in the linguistics terms which can be translated into mathematical measures by using fuzzy sets & system theory. The study problem to develop a fuzzy decision approach to rank the suitable maintenance alternative. The objective of this paper is to propose fuzzy frame work based on fuzzy number theory to solve optimal maintenance alternative which includes decision criteria analysis, weight assessment & decision model development. The approach can aid formulating a cost-effective maintenance strategy for a manufacturing plant.

Maintenance strategy selection problem: an MCDM overview

“…Eight studies of Al-Najjar and Alsyouf (2003), Alsyouf (2004), Sharma et al (2005), Jafari et al (2008, Nagar (2011), Kushwash (2012, Sagar et al (2013), andGörener (2013) have applied SAW technique to solve the MSS problem. Al-Najjar and Alsyouf (2003) used the SAW method to select the most informative (efficient) maintenance strategy due to its simplicity, popularity to practitioners, and the good performance results.…”

“…Bashiri et al (2010) utilized an interactive method to rank the maintenance strategies, in which the maintenance experts were allowed to modify their preference information within an interaction process. In Nagar (2011), the experts were asked to express the importance of each criterion relative to other criteria by using linguistic variables. Zaim et al (2012) surveyed a group of experts from production and maintenance as well as some experts from academia to collect the comparison data for criteria, sub-criteria, and alternative maintenance strategies.…”

“…Corrective maintenance. This maintenance strategy is also known as operate/run to failure (Labib et al, 1998b;Labib, 2004;Ahmadi et al, 2009Ahmadi et al, , 2010Ioannis and Nikitas, 2013); reactive/breakdown maintenance (Azadivar and Shu, 1999;Sharma et al, 2005;Nagar, 2011); failure-based maintenance (Al-Najjar and Alsyouf, 2003;Alsyouf, 2004;Li et al, 2007;Jafari et al, 2008;Vahdani et al, 2010;Nezami and Yildirim, 2011;Vahdani and Hadipour, 2011;Chan and Prakash, 2012;Nezami and Yildirim, 2013); and emergency maintenance (Shahin et al, 2012a, b). Under this maintenance strategy, a repair action is carried out after the equipment failure/stoppage or upon a severe decline in production.…”

Analysis of the Impact of Input Data on the Planned Costs of Building Maintenance

“…Making decisions regarding the maintenance of buildings requires taking into consideration many factors. Therefore, this problem is often solved using MCDM (Multiple Criteria Decision Making) methods [10][11][12][13][14][15][16][17][18]. Peach and Visser [19] analyze the problem of including human factors in maintenance.…”