A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time

2015 ◽  
Vol 83 ◽  
pp. 189-215 ◽  
Author(s):  
Weihua Liu ◽  
Qian Wang ◽  
Qiaomei Mao ◽  
Shuqing Wang ◽  
Donglei Zhu
Keyword(s):  
Supply Chain ◽  
Mass Customization ◽  
Operation Time ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Scheduling Model

scholarly journals An Order Insertion Scheduling Model of Logistics Service Supply Chain Considering Capacity and Time Factors

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Weihua Liu ◽  
Yi Yang ◽  
Shuqing Wang ◽  
Yang Liu
Keyword(s):  
Supply Chain ◽  
Time Delay ◽  
Completion Time ◽  
Time Factors ◽  
Normal Operation ◽  
Service Process ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Scheduling Model ◽  
Mass Service

Order insertion often occurs in the scheduling process of logistics service supply chain (LSSC), which disturbs normal time scheduling especially in the environment of mass customization logistics service. This study analyses order similarity coefficient and order insertion operation process and then establishes an order insertion scheduling model of LSSC with service capacity and time factors considered. This model aims to minimize the average unit volume operation cost of logistics service integrator and maximize the average satisfaction degree of functional logistics service providers. In order to verify the viability and effectiveness of our model, a specific example is numerically analyzed. Some interesting conclusions are obtained. First, along with the increase of completion time delay coefficient permitted by customers, the possible inserting order volume first increases and then trends to be stable. Second, supply chain performance reaches the best when the volume of inserting order is equal to the surplus volume of the normal operation capacity in mass service process. Third, the larger the normal operation capacity in mass service process is, the bigger the possible inserting order’s volume will be. Moreover, compared to increasing the completion time delay coefficient, improving the normal operation capacity of mass service process is more useful.

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 with Mass Customized Logistics Service

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Weihua Liu ◽  
Yi Yang ◽  
Xiang Li ◽  
Haitao Xu ◽  
Dong Xie
Keyword(s):  
Supply Chain ◽  
Time Delay ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Scheduling Model ◽  
Cost Coefficient ◽  
Comprehensive Performance ◽  
Logistics Services ◽  
Time Scheduling ◽  
The Relationship

With the increasing demand for customized logistics services in the manufacturing industry, the key factor in realizing the competitiveness of a logistics service supply chain (LSSC) is whether it can meet specific requirements with the cost of mass service. In this case, in-depth research on the time-scheduling of LSSC is required. Setting the total cost, completion time, and the satisfaction of functional logistics service providers (FLSPs) as optimal targets, this paper establishes a time scheduling model of LSSC, which is constrained by the service order time requirement. Numerical analysis is conducted by using Matlab 7.0 software. The effects of the relationship cost coefficient and the time delay coefficient on the comprehensive performance of LSSC are discussed. The results demonstrate that with the time scheduling model in mass-customized logistics services (MCLSs) environment, the logistics service integrator (LSI) can complete the order earlier or later than scheduled. With the increase of the relationship cost coefficient and the time delay coefficient, the comprehensive performance of LSSC also increases and tends towards stability. In addition, the time delay coefficient has a better effect in increasing the LSSC’s comprehensive performance than the relationship cost coefficient does.

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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