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 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.

A Resource Allocation Model of Logistics Services Supply Chain for Multi-Agent Based on Ant Colony Algorithm

2012 ◽  
Vol 157-158 ◽  
pp. 189-192
Author(s):  
Bin Yang ◽  
Chun Xiao Li ◽  
Yi Bing Zhang ◽  
Wei Kong
Keyword(s):  
Resource Allocation ◽  
Supply Chain ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Multi Agent System ◽  
Allocation Model ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Logistics Services ◽  
Multi Agent

In the logistics service supply chain based on Multi-Agent system, it is a combinatorial optimization problem possessing highly complexity and dynamic uncertainty to allocate the resources of various logistics companies. Therefore, in this paper, ant colony algorithm is introduced to the Multi-Agent System, and we establish a resource allocation model based on ant colony algorithm for logistics service supply chain in view of Multi-Agent. In the model, ants are replaced by agents. At the end, the paper realizes the optimization of logistics services supply chain.

scholarly journals Investigating the Impact Factors of the Logistics Service Supply Chain for Sustainable Performance: Focused on Integrators

2019 ◽  
Vol 11 (2) ◽  
pp. 538 ◽  
Author(s):  
Yingjie Ju ◽  
Yue Wang ◽  
Ye Cheng ◽  
Jun Jia
Keyword(s):  
Supply Chain ◽  
Service Providers ◽  
Impact Factors ◽  
Opportunistic Behavior ◽  
Logistics Industry ◽  
Logistics Service ◽  
Sustainable Performance ◽  
Service Supply Chain ◽  
Logistics Services ◽  
The Impact

The overall scale of China’s logistics industry is growing rapidly, and the environment and conditions for its development are constantly improving, which lays a solid foundation for further accelerating the development of the logistics industry. However, logistics services are characterized by subordination, immediacy, demand volatility, and substitutability. Low-level integrated management of logistics services seriously hinders the development of the logistics service supply chain (LSSC) for sustainable performance. Many studies have been limited to the performance evaluation of LSSCs, and the factors affecting LSSC performance have generally been ignored. This study focuses on integrated LSSCs by using an integrator’s opportunistic behavior as the entry point of research and investigates the factors that affect the sustainability of LSSC performance. On the basis of relevant theories, a model for a hypothesis is constructed and eight hypotheses are subsequently proposed. Moreover, 271 survey responses from functional logistics service providers (research object) are utilized to develop a structural equation model for empirical research. Findings show that integrators with opportunistic behavior inhibit the information-sharing behavior of supply chain members. Consequently, the integration capability and agility of LSSCs are reduced, which affects the overall performance of LSSCs. The findings of this study can provide management insights into the behaviors of supply chain members and governments.

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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