Fuzzy Logic Model for Selection of Performance Upgrade Alternatives in Remanufacturing: Case of Brake Caliper Component

The remanufacturing process for used automotive components faces challenges in gaining consumer confidence in using remanufactured components. Performance upgrade of end-of-life components is a strategy for extending the life cycle to enhance the remanufacturability value of components to be reused in subsequent life cycles. However, detailed consideration and assessment are required to ensure that the performance upgrade can be implemented according to the requirements and safety limits of the vehicle operating system. The main objective of this study is to develop a decision-making model for selecting alternative brake caliper upgrading considering several criteria, namely the difficulty level of upgrading, cost, upgraded performance level, and post-upgrade durability level. Fuzzy logic model is used to fulfill this objective, where criteria evaluation and alternative selection can be accomplished with more accurate and subsequently, the weighted average method was used to identify the ranking of the alternatives involved. The study results indicate the priority of the selected alternative with the ranking of alternative attained based on the fuzzy logic model which are the first rank is Alternative 3 (0.86), second is Alternative 2 (0.63) and lastly, Alternative 1 (0.30). Overall, this study can support qualitative multi-criteria assessment for decision-making process through the development of the fuzzy logic model.