【摘要】 再制造企业里,在决策购买新零件或修复旧零件时,经常面对有限的拆卸修复信息和不确定的订货提前期.为了得到科学的决策,人们试图尽早地掌握拆卸修复零件的确切信息,与有能力的供应商建立良好的关系,或在企业建立管理信息系统来统计分析废旧品的状态和数量等.根据市场需求和产品批发价,以满足市场需求所要购买新零件数和拆卸修复机器数为决策变量,并考虑拆卸修复成功的概率,建立企业期望利润的数学模型,求得可能情况下的最优解或现实满意解.洞察再制造企业取得最大利润的主要影响因数及这些因数间的关系,为制作生产计划提供理论依据.最后指出进一步的研究问题.更多还原

【Abstract】 In remanufacturing facilities,when making used product disassembly and procurement decisions,managers usually face limited information on remanufacturing yields or a uncertainly long supplier lead time.To make a scientific decision,managers may attempt to identify the repairable parts early in the recovery process,to develop a responsive supplier with reactive capacity,or to implement an information system that helps to identify the wear state and number of the used machines that are available for remanufacturing.Based on the demand and wholesale price,A mathematic expected model of enterprise profit is established with decision variables of the numbers of new parts and used machines,and a random variable which denotes the successful ratio of reclaim yield.Optimal or content solutions have been obtained in various conditions.Primary factors and relationships between them in remanufacturing enterprises have relatively been understood.In addition,the paper mentions several further research.更多还原