Fuzzy Multi Criteria Approach for Sustainable Maintenance Evaluation in Rubber Industry

This paper proposes a fuzzy multi criteria approach for evaluating sustainable maintenance in rubber industry. A literature study is conducted to identify the key performance indicators (KPIs) and then validated by academics and industry experts. As a result, three factors of economic, social, and environmental indicators (dividing into a total of thirteen indicators) are proposed as the KPIs for sustainable maintenance evaluation in rubber industry. Next, the Interpretive Structural Modeling (ISM) method is applied to determine the interrelationships of KPIs. The results identified four indicators of environmental factor as the most influencing KPIs, while six indicators of economic factor suggested as the most influenced KPIs. Finally, the Fuzzy Analytic Network Process (FANP) method is used to determine the importance weight of KPIs. The lighting and ventilation is regarded as the most important KPIs, followed by working environment, energy consumption, and emission. The proposed evaluation model is expected to assist the rubber industry in improving their sustainable maintenance performance. (C) 2019 The Authors. Published by Elsevier B.V.