scholarly journals A Fuzzy Programming Model for Positioning Customer Order Decoupling Point Based on QFD in Logistics Service with Mass Customization

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Guanxiong Wang ◽  
Xiaojian Hu
Keyword(s):  
Supply Chain ◽  
Fuzzy Set ◽  
Mass Customization ◽  
Programming Model ◽  
Fuzzy Programming ◽  
The Sustainable Development ◽  
Logistics Service ◽  
Customer Order ◽  
Service Supply Chain ◽  
Fuzzy Programming Model

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.

scholarly journals A Time Scheduling Model of Logistics Service Supply Chain Based on the Customer Order Decoupling Point: A Perspective from the Constant Service Operation Time

2014 ◽  
Vol 2014 ◽  
pp. 1-22 ◽  
Author(s):  
Weihua Liu ◽  
Yi Yang ◽  
Haitao Xu ◽  
Xiaoyan Liu ◽  
Yijia Wang ◽  
...  
Keyword(s):  
Supply Chain ◽  
Completion Time ◽  
Service Providers ◽  
Logistics Service ◽  
Customer Order ◽  
Service Supply Chain ◽  
Scheduling Model ◽  
Comprehensive Performance ◽  
Order Completion ◽  
Time Scheduling

In mass customization logistics service, reasonable scheduling of the logistics service supply chain (LSSC), especially time scheduling, is benefit to increase its competitiveness. Therefore, the effect of a customer order decoupling point (CODP) on the time scheduling performance should be considered. To minimize the total order operation cost of the LSSC, minimize the difference between the expected and actual time of completing the service orders, and maximize the satisfaction of functional logistics service providers, this study establishes an LSSC time scheduling model based on the CODP. Matlab 7.8 software is used in the numerical analysis for a specific example. Results show that the order completion time of the LSSC can be delayed or be ahead of schedule but cannot be infinitely advanced or infinitely delayed. Obtaining the optimal comprehensive performance can be effective if the expected order completion time is appropriately delayed. The increase in supply chain comprehensive performance caused by the increase in the relationship coefficient of logistics service integrator (LSI) is limited. The relative concern degree of LSI on cost and service delivery punctuality leads to not only changes in CODP but also to those in the scheduling performance of the LSSC.

scholarly journals A Determination Method of Optimal Customization Degree of Logistics Service Supply Chain with Mass Customization Service

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Weihua Liu ◽  
Qian Wang ◽  
Donglei Zhu ◽  
Yang Liu
Keyword(s):  
Supply Chain ◽  
Customer Satisfaction ◽  
Mass Customization ◽  
Customer Demand ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Logistics Services ◽  
Unit Increase ◽  
Important Field ◽  
Decision Mode

Customization degree is a very important field of mass customization. Its improvement could enhance customer satisfaction and further increase customer demand while correspondingly it will increase service price and decrease customer satisfaction and demand. Therefore this paper discusses how to deal with such issues in logistics service supply chain (LSSC) with a logistics service integrator (LSI) and a customer. With the establishment of customer demand function for logistics services and profit functions of the LSI and the customer, three different decision modes are proposed (i.e., customization degree dominated by LSI, customization degree dominated by customer, and customization degree decided by concentrated supply chain); many interesting findings are achieved. Firstly, to achieve customization cooperation between LSI and customer, measures should be taken to make the unit increase cost of the customized logistics services lower than a certain value. Secondly, there are differences between the optimal customization degree dominated by LSI and that dominated by customer. And in both cases, the dominator could realize more profit than the follower. Thirdly, with the profit secondary distribution strategy, the modified decentralized decision mode could accomplish the maximum profit achieved in centralized decision mode and meanwhile get the optimal customization degree.

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