Logistics and Risk Pooling for Reuse Products

再利用产品的物流和风险分担

基本信息

批准号：
14580492
负责人：
MORITO Susumu
金额：
$ 2.24万
依托单位：
Waseda University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2004
项目状态：
已结题

项目摘要

1)Strategic safety stock in remanufacturing : Based on the algorithms by Graves and Minner, a dynamic programming algorithm has been developed for serial as well as divergent production systems. The algorithm has been evaluated by extensive computational experiments.2)Lot size determination in remanufacturing : A Wagner-Whitin type lot size determination problemis considered for which a heuristic algorithm has been developed based on Lagrangean relaxation. The deterministic model takes into considerations such factors as the return of reuse products, disposal and remanufacturing of reuse products, together with production of new products. Dynamic programming algorithm is used to optimize the subproblem, and the algorithm has been evaluated via computational experiments. A parallel machine lot scheduling problem has also been studied, and an efficient column generation algorithm was developed and tested.3)Inventory transshipment problem : An inventory transshipment problem has been studied as a way to increase flexibility of logistics systems. An optimal deployment of preventive and emergency inventory transshipment has been formulated as a stochastic programming problem, and be solved. The effectiveness of combining two types of transshipments was analyzed.4)Relationship between product design and logistics : Considering manufacturing systems with recycle and reuse, the effects of module design and delayed differentiations on the performance of logistics systems has been studied. Optimal uses of common parts for new products from the old products, together with modualization has been analyzed by an optimization model.

1）再制造中的战略安全库存：基于Graves和Minner的算法，已经为串行和发散的生产系统开发了一种动态编程算法。该算法已通过广泛的计算实验进行了评估。2）再制造中的批量确定：瓦格纳 - 白蛋白类型的批量测定问题，考虑到了基于拉格朗的放松基础开发了启发式算法的问题。确定性模型考虑了诸如重用产品的返回，重用产品的处理和再制造以及新产品的生产之类的因素。动态编程算法用于优化子问题，并且已经通过计算实验评估了该算法。还研究了一个并行机器的调度问题，并开发了有效的专栏生成算法。3）库存转运问题：已经研究了库存转运问题，以提高物流系统的灵活性。预防和紧急库存转运的最佳部署已被提出为随机编程问题，并得到解决。分析了两种类型的转运的有效性。4）产品设计与物流之间的关系：考虑具有回收和再利用的制造系统，模块设计的影响以及延迟区分对物流系统性能的影响。通过优化模型分析了旧产品的新产品的常见零件的最佳用途，并进行了调节。