REAL-TIME PRODUCT RECOVERY DECISION MAKING ALGORITHM FOR SUSTAINABILITY
Editor: Christian Weber, Stephan Husung, Gaetano Cascini, Marco Cantamessa, Dorian Marjanovic, Frederico Rotini
Author: Kanchanasri, Passaporn; Moon, Seung Ki; Ng, Gary Ka Lai
Institution: 1: Nanyang Technological University, Singapore; 2: Advanced Remanufacturing and Technology Centre, Singapore
Section: Design Methods and Tools - part 1
Supporting long term benefits towards our society, a product recovery becomes a good alternative for handling End-of-Life (EOL) products. Instead of disposing all used products and producing waste, recovery options such as repair and reuse can be considered. They could be more cost-effective while saving our natural resources. A decision on product recovery option selection is necessary especially for an automated inspection. In this study, we propose a real time decision making algorithm for product recovery option selection. The proposed algorithm is focused on social and ecological impacts together with engineering and economic aspects. The objective is to develop a decision making algorithm to handle multiple conflicting criteria including natural resource consumptions, cost, and quality. The algorithm is designed to ensure that a product recovery decision is economy-effective and good for an environment and a human life in a long term. The modelling and simulation shows a potential to be implemented practically to support sustainability.