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A Fuzzy Programming Model for Positioning Customer Order Decoupling Point Based on QFD in Logistics Service with Mass Customization
Discrete Dynamics in Nature and Society ( IF 1.4 ) Pub Date : 2020-11-06 , DOI: 10.1155/2020/6515142
Guanxiong Wang 1 , Xiaojian Hu 2, 3
Affiliation  

Mass customization logistics service mode provides a new way to maintain the sustainable cooperative relationship between customers and integrators. One of the key factors to maintain the sustainable development of logistics service supply chain under MC mode is to locate a suitable customer order decoupling point (CODP) location. This paper investigates the problem of CODP in the logistics service supply chain based on the fuzzy set theory under the mass customization mode. With the help of a fuzzy QFD method and a new service quality function that we constructed, this paper quantifies the quality of a logistics service when the LSI selects a different CODP. Then, the fuzzy set of the high-quality logistics service and the fuzzy set of the satisfactory delivery time are built. Based on those two new fuzzy sets, this paper builds a new fuzzy programming model on CODP positioning. The solving methods of this model under different conditions are given. Finally, the influence of some important parameters on the optimal CODP position is studied by sensitivity analysis on a specific numerical case.

中文翻译:

大规模定制的物流服务中基于QFD的客户订单解耦点定位模糊规划模型

大规模定制的物流服务模式提供了一种新的方式来维持客户与集成商之间的可持续合作关系。在MC模式下维持物流服务供应链可持续发展的关键因素之一是找到合适的客户订单去耦点(CODP)位置。基于大规模定制模式下的模糊集理论,研究了物流服务供应链中的CODP问题。借助于模糊QFD方法和我们构建的新服务质量函数,本文对LSI选择其他CODP时的物流服务质量进行了量化。然后,建立了高质量物流服务的模糊集和满意的交货时间的模糊集。基于这两个新的模糊集,本文建立了一个新的CODP定位模糊规划模型。给出了该模型在不同条件下的求解方法。最后,通过对特定数值情况的敏感性分析,研究了一些重要参数对最佳CODP位置的影响。
更新日期:2020-11-06
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