A decision-making methodology for best product End-Of-Life scenario selection using an improved compromise ranking method

Abstract

The development of environmentally sound products requires new paradigms and new approaches for the product development process. Responding to constantly more demanding legislation, manufacturers have to develop product End-Of-Life (EOL) scenarios. Very few studies are available in the literature dealing specifically with selecting the best product EOF scenarios. This is considered in this paper using an improved compromise ranking method in conjunction with an Analytic Hierarchy Process (AHP) and fuzzy logic. The method is developed considering the EOL scenario selection attributes and their relative importance for the industrial product considered. Two examples are included to illustrate the approach.