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Recently, the importance of the end-of-life (EOL) product recovery process has been rising since the return rate of products is increasing due to strict environmental regulations on products and economic reasons. In addition to this, the advent of emerging product identification technologies makes product lifecycle data visible at EOL phase. In this regard, the optimization of product recovery processes becomes highlighted as a challenging issue of EOL. At the inspection phase after disassembly, each part can have various EOL recovery options such as re-use, remanufacturing, and disposal. Depending on the selected EOL options of parts, the recovery value of an EOL product will be different. Hence, it is essential to develop a decision-making method that can select the best EOL options of parts for maximizing the recovery value of an EOL product. Although some previous works have focused on improving EOL …