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.

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 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.

Exploring the service quality in the e-commerce context: a triadic view

2016 ◽  
Vol 116 (3) ◽  
pp. 388-415 ◽  
Author(s):  
Yong Lin ◽  
Jing Luo ◽  
Shuqin Cai ◽  
Shihua Ma ◽  
Ke Rong
Keyword(s):  
Supply Chain ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Content Type ◽  
Logistics Service ◽  
Logistics Services ◽  
Quality Framework ◽  
Logistics Service Quality ◽  
Customer Satisfaction And Loyalty

Purpose – The purpose of this paper is to explore the quality factors influencing customer satisfaction in the electronic commerce (e-commerce) context using a triadic view of customer-e-retailer-third-party logistics provider, and to investigate the impacts of service quality on customer satisfaction and loyalty in the e-retailing supply chain. Design/methodology/approach – A literature review is used to determine the conceptual model and develop the measurement scales. Data are collected through a web survey mainly conducted in China. Structural equation modeling is used to analyze the collected data and test the research hypotheses. Findings – The results verify the proposed service quality framework, consisting of two dimensions (electronic service (e-service) quality and logistics service quality), in the e-commerce context. The results indicate that e-service quality and logistics service quality are strongly linked to customer satisfaction; that is, with e-service and logistics service, respectively. e-Service quality positively impacts customer satisfaction with logistics services, but logistics service quality negatively impacts customer satisfaction with e-services. Moreover, customer satisfaction with e-services is positively associated with customer loyalty for both e-services and logistics services. However, customer satisfaction with logistics services has no direct impact on related customer loyalty, and negatively impacts customer loyalty with e-services. Research limitations/implications – The survey focusses only on China; future data should verify whether different cultural backgrounds will impact the research results. Practical implications – The results show that e-retailers should not only focus on e-service quality, but also logistics service quality, which is critical to the success of e-commerce. Originality/value – A two-dimensional (e-service and logistics) service quality framework is proposed and empirically assessed in the context of the e-retailing supply chain. These impacts of the path of service quality on customer satisfaction and loyalty are highlighted.

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 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.

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