关键词: 寿命终期决策, 产品再生, 多属性分析, 多目标优化

Abstract: To overcome the deficiencies in recovery decision making of End-Of-Life (EOL) product such as less considering module portfolio effect,non-simultaneous method of module selection and EOL option assignment,a simultaneous optimal selection method for both module and EOL option which combines multi-attribute analysis and multi-objective evolution algorithm was proposed.To achieve the optimal recovery benefits,module attribute and portfolio effect,a multi-objective quadratic optimization model was built by considering the impact of EOL modules quality.A multi-criteria evaluation system of recovery attribute was established and the fuzzy hierarchical TOPSIS with dependent criteria was used to aggregate the linguistic data into normalised indicators to the optimization model.A dynamic cataclysm evolution algorithm based on nondominated sorting was designed as a solution approach.The two-stage cataclysm strategy by monitoring the population density regarding the decision space as well as the stagnation regarding the objective space was used to maintain the population diversity,and the scale of competition across generations was limited.The effectiveness of the proposed method and algorithm was validated in an application of EOL vehicles'decision-making case.

Key words: end-of-life decision making, product recovery, multi-attribute analysis, multi-objective optimization