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A location-routing problem with economic efficiency for recycling system

机译：回收系统经济效率的位置路由问题

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摘要

The demand for rare resources used for high-tech products has been increased due to growing populations and industrial developments. Since it becomes more likely to cause resource depletion in the future, a requirement for resource circulation, e.g., recycling, reuse, and reproduction, becomes large. In order to realize sustainable recycling, the systems considering minimizing a transportation cost of a cyclical form supply chain and forecast of the resources to collect needs to be designed. However, if the recycling systems are not economically inefficient, the firm might not implement the project. Therefore, it is important to evaluate the economic efficiency of the supply chain systems. In this paper, we evaluate an economic value of a sustainable recycling system on closed loop supply chain based on a location-routing problem.The recycling system is composed of supply chain by facilities, which remove parts having resources from waste products and the others reproducing resources from the parts. Since the demand of automobile increase due to global innovations and inventions, we consider automobile motors and neodymium as target of parts that have resources. In this analysis, the waste amount of automobile and motor is forecasted by means of multiple regression method and Weibull distribution. By using the forecasting waste amount, a recycling equipment place is determined by minimizing a transportation and recycling equipment costs. We evaluate an economic efficiency for the sustainable recycling system, that is, a present value of recycling equipment and neodymium from solutions of the location-routing problem.
机译：由于种群增长和工业发展，由于人口增长和工业发展，对高科技产品的稀有资源的需求已经增加。由于将来更有可能导致资源耗尽，因此资源循环的要求，例如，回收，重用和再现变大。为了实现可持续的回收，考虑到最小化循环形式供应链的运输成本以及需要设计收集资源的运输费用。但是，如果回收系统在经济效率低下，该公司可能无法实施该项目。因此，重要的是评估供应链系统的经济效率。在本文中，我们基于位置路由问题评估了对闭环供应链的可持续回收系统的经济价值。回收系统由设施供应链组成，该供应链从废品中删除具有资源的零件和其他繁殖来自零件的资源。由于全球创新和发明的汽车需求增加，我们认为汽车电机和钕作为具有资源的部件的目标。在该分析中，通过多元回归方法和Weibull分布预测汽车和电动机的废物量。通过使用预测余量量，通过最小化运输和回收设备成本来确定回收设备的位置。我们评估可持续回收系统的经济效率，即来自位置路由问题的解决方案的回收设备和钕的现有价值。

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