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机构地区:[1]清华大学自动化系,北京100084
出 处:《计算机集成制造系统》2009年第4期732-740,共9页Computer Integrated Manufacturing Systems
基 金:国家863计划资助项目(2007AA04Z1A6);北京市自然科学基金资助项目(9072007);欧盟第六框架资助项目(FP&IP507100)~~
摘 要:为优化产品回收处理过程的绩效,针对产品回收处理策略这一复杂问题,从产品维、市场维、过程维、政策维、环境维等五个方面研究了回收处理策略的决策要素,并对各要素间的关系加以分析,进而首次提出了基于模糊认知图的产品回收处理策略的决策模型和相关的决策方法。该方法综合考虑了短期效益和长远利益,较全面地覆盖了各相关决策要素,能够通过迭代运算较好地对具有反馈动力特性的产品回收处理策略决策问题进行综合分析和定性推理,且具有直观性、友好地与人交互,以及良好的可解释性等。最后基于欧盟合作项目,以本文方法在废旧轮胎回收处理策略决策中的应用为例,验证了该方法可行性和有效性。To optimize the performance of product recovery and disposal process, and to deal with this complicated problem, the recovery and disposal strategy was studied from five perspectives including product dimension, market dimension, process dimension, policy dimension and environment dimension. And relationships among these five perspectives were also analyzed. Then, for the first time, the decision-making of Product Recovery and Disposal Strategy (PRDS) decision-making model based on Fuzzy Cognitive Maps (FCM) was constructed and the relevant decision-making method was also brought forward. The short-term and long-term benefits were both considered in this method and most of the relevant decision-making essentials were covered. Through the iteration simulation of the method, the PRDS decision-making problem with the feedback dynamics could be synthetically analyzed and qualitatively reasoned. The method was characterized by its intuitional, interpretable and could interact with human in a friendly way. Finally, based on an EU cooperative project, the proposed method was applied to solve the used tire's recovery and disposal decision-making problem. Its feasibility and effectiveness was verified.
关 键 词:产品回收处理策略 模糊认知图 决策模型 决策方法 轮胎回收
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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