scholarly journals Decision model for the customer order decoupling point considering order insertion scheduling with capacity and time constraints in logistics service supply chain

2018 ◽  
Vol 54 ◽  
pp. 112-135 ◽  
Author(s):  
Weihua Liu ◽  
Runze Wu ◽  
Zhicheng Liang ◽  
Donglei Zhu
2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Guanxiong Wang ◽  
Xiaojian Hu

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.


2014 ◽  
Vol 2014 ◽  
pp. 1-22 ◽  
Author(s):  
Weihua Liu ◽  
Yi Yang ◽  
Haitao Xu ◽  
Xiaoyan Liu ◽  
Yijia Wang ◽  
...  

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.


Sign in / Sign up

Export Citation Format

Share Document