A multi-hierarchical framework for ranking maintenance sustainability strategies using PROMETHEE and fuzzy entropy methods

Abstract

Today, maintenance plays a significant responsibility in all stages of equipment life due to strong government interests in environmentally conscious manufacturing. The need of the hour is to ignore the sparse attention to sustainable maintenance research and pursue valuable links between maintenance strategy and sustainable maintenance. In maintenance strategy choice, available reports have not sufficiently addressed the imbalance caused by uncertainties in maintenance practices. In addition, current reports on maintenance strategy sustainability focus on technical and economic aspects of maintenance and scantily treat environmental, social and safety criteria. This affects the quality of decisions in maintenance systems. To remedy this situation, this study applies fuzzy entropy weight and PROMETHEE (Preference Ranking Organisation Method for Enrichment Evaluation) in ranking maintenance sustainability strategies. The proposed approach is tested in a cement plant. Based on the choice criteria, the PROMETHEE methods results identified the best maintenance strategy as maintenance optimisation strategy. Workforce training strategy was identified as the worst maintenance sustainability strategy. These obtained results were compared with fuzzy TOPSIS (Technique of Preference Order by Similarity to Ideal Solution) approach and the practical application of the approach was verified. The results serve as a basis and a platform for further application of the approach in other manufacturing companies.

Selection of a mini-grid business model for developing countries using CRITIC-TOPSIS with interval type-2 fuzzy sets

“…TOPSIS method is a leading multi-criteria tool in MCMD domain (Chen & Hsieh, 2000;Ding, 2011;Ding & Kamaruddin, 2015;Ighravwe & Oke, 2017). Its wide acceptance is due to the fact that its framework considers the best and worst scenarios among sets of alternative in making a decision (Chen, 2000;Kaya & Kahraman, 2011).…”

“…Given that most mini-grid information can be easily presented in linguistic terms, it makes TOPSIS a suitable tool to analyse the most suitable business model for a mini-grid business project. The implementation of TOPSIS using linguistic information is done under a fuzzy TOPSIS framework (Ighravwe & Oke, 2017). This framework is similar to standard TOPSIS framework, but it makes use of fuzzy numbers during the first stage of its analysis.…”

Multi-hierarchical Framework – Fuzzy Entropy Weight Approach for Auditing Technology in PT X

“…FEWA method consist of three important steps which are design of decision matrix, determination of entropy values and estimation of criterion weight. The procedures for FEWA are explained as follows [5]:…”

“…The normalized values are used to determine the entropy values for the various criteria using calculation of: (5) Step 3: Estimation of criterion weight.…”

“…Fuzzy Entropy Weight Approach (FEWA) as MCDM tool is suitable for this kind of problem. This method is selected over other methods because of its simplified structure ease decision maker from complex analysis that are experienced using other weighting method, such as AHP or ANP [5]. With the combination of both method, FEWA is very powerful in facilitating many imprecise information and thought from expert judgements that come from different backgrounds of function to strengthen the assessment.…”