Fuzzy Multi Criteria Approach for Sustainable Maintenance Performance Evaluation in Cement Industry

Abstract This paper develops a fuzzy multi criteria approach to evaluate the sustainable maintenance performance in the cement industry. A literature study is conducted to identify the key performance indicators (KPIs) and then validated by industry experts. As a result, a total of sixteen indicators which divided into three factors of economic, social, and environmental are proposed as the KPIs to evaluate the sustainable maintenance performance in the cement industry. Furthermore, the relationships amongst the KPIs are determined using the Interpretive Structural Modeling (ISM) method. The results show that working environment, occupational health and safety, and lighting and ventilation identifed as the most influencing indicators. On the other hand, energy consumption is suggested as the most dependent indicator. The Fuzzy Analytic Network Process (FANP) method is then used to determine the importance weight of KPIs. The occupational health and safety is regarded as the most important indicator, followed by working environment, and lighting and ventilation. The evaluation model is expected to help the cement industry in their efforts to continously improve the sustainable maintenance performance.