Interpretive Structural Model of Key Performance Indicators for Sustainable Maintenance Evaluatian in Rubber Industry

4th Asia Pacific Conference on Manufacturing Systems; 3rd International Manufacturing Engineering Conference

Amrina, E.^1 ; Yulianto, A.^1

Department of Industrial Engineering, Andalas University, Padang, Indonesia^1

关键词: Economic factors;    Environmental factors;    Interpretive structural modeling;    Key performance indicators;    Manufacturing companies;    Network structures;    Sustainable maintenance;    Training and education;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/319/1/012055/pdf
DOI  :  10.1088/1757-899X/319/1/012055

来源: IOP

【 摘 要 】

Sustainable maintenance is a new challenge for manufacturing companies to realize sustainable development. In this paper, an interpretive structural model is developed to evaluate sustainable maintenance in the rubber industry. The initial key performance indicators (KPIs) is identified and derived from literature and then validated by academic and industry experts. As a result, three factors of economic, social, and environmental dividing into a total of thirteen indicators are proposed as the KPIs for sustainable maintenance evaluation in rubber industry. Interpretive structural modeling (ISM) methodology is applied to develop a network structure model of the KPIs consisting of three levels. The results show the economic factor is regarded as the basic factor, the social factor as the intermediate factor, while the environmental factor indicated to be the leading factor. Two indicators of social factor i.e. labor relationship, and training and education have both high driver and dependence power, thus categorized as the unstable indicators which need further attention. All the indicators of environmental factor and one indicator of social factor are indicated as the most influencing indicator. The interpretive structural model hoped can aid the rubber companies in evaluating sustainable maintenance performance.