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 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 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 Assessing the Vulnerability of Logistics Service Supply Chain Based on Complex Network

2020 ◽  
Vol 12 (5) ◽  
pp. 1991 ◽  
Author(s):  
Fei Ma ◽  
Huifeng Xue ◽  
Kum Fai Yuen ◽  
Qipeng Sun ◽  
Shumei Zhao ◽  
...  
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Service Providers ◽  
Real Life ◽  
Clustering Coefficient ◽  
Important Indicator ◽  
Complex Network Theory ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Low Efficiency

The reliable operation of a logistics service supply chain (LSSC) is a key factor for improving logistics efficiency and service level, and vulnerability is an important indicator of reliable LSSC operation. Based on complex network theory, we reconstructed the running mechanism of logistics service providers, integrators, and demanders. We constructed an improved structure model of LSSC. By observing the selected three indicators (clustering coefficient, maximum connectivity, and network connectivity efficiency), the influence caused by the problem will continue to spread to more subjects along the network when a problem exists in one part of the network. The results showed that the destructive power of deliberate attacks is far greater than the damage caused by random attacks, and the disruption of logistics service integrators will considerably increase the vulnerability of the LSSC. However, even if logistics service integrators are removed completely, the LSSC still can operate at low efficiency. Through a case analysis, we identified the vulnerable nodes in logistics service, clarify the vulnerable mechanism in LSSC, and provide guidance for the operation of LSSC in real life.

scholarly journals An Improved Revenue Distribution Model for Logistics Service Supply Chain Considering Fairness Preference

2021 ◽  
Vol 13 (12) ◽  
pp. 6711
Author(s):  
Fuqiang Lu ◽  
Liying Wang ◽  
Hualing Bi ◽  
Zichao Du ◽  
Suxin Wang
Keyword(s):  
Supply Chain ◽  
Distribution Ratio ◽  
Service Providers ◽  
Inequity Aversion ◽  
Distribution Model ◽  
Total Utility ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Logistics Service Providers ◽  
Decision Making Behavior

Revenue distribution is an important issue in the operations of a logistics service supply chain (LSSC). The existing works on revenue distribution are mostly based on the assumption of rational economic people that are purely self-interested. However, people also have a fairness preference, which impacts people’s decision-making behavior or even the success operations of the LSSC. For a two-level supply chain consisting of logistics service integrator (LSI) and several functional logistics service providers (FLSP), this paper establishes an improved revenue distribution model considering FLSPs’ inequity aversion. Specifically, the BO model (abbreviation of a model proposed by Bolton and Ockenfels in 2000) is improved to describe the FLSPs’ inequity aversion, which is combined into the conventional revenue distribution model. The proposed model aims to maximize the revenue of logistics service supply chain and obtains the best revenue distribution ratio of each member under equilibrium. In the numerical cases, the impacts of inequity aversion and the number of members with inequity aversion on the revenue distribution are discussed, respectively. The results show that a higher degree of FLSP’s advantageous inequity aversion corresponds to a lower revenue distribution ratio; a higher degree of FLSP’s disadvantageous inequity aversion corresponds to a higher revenue distribution ratio. Increasing the number of FLSP members with inequity aversion results in a higher profit of LSI and lower total utility of FLSPs and the utility of the supply chain. The more FLSP members with inequity aversion there are, the higher the LSI’s profit is, and the lower the total utility of FLSPs and the utility of supply chain are. In addition, the revenue distribution ratio of the FLSP increases with its relative fairness revenue coefficient among FLSPs.

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 Study on Task Assignment of Two-stage Multi-service Capability Port Logistics Service Providers

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Zhaowei Meng ◽  
Xiaoguang Wang
Keyword(s):  
Supply Chain ◽  
Evaluation Method ◽  
Service Providers ◽  
Task Assignment ◽  
Two Stage ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Logistics Service Providers ◽  
Port Logistics ◽  
Service Capability

This paper mainly studies the problem of multi-task assignment of providers in port logistics service supply chain. As a core enterprise, port plays the role of logistics service integrator.With the continuous development of industrial integration, logistics service providers not only provide one kind of logistics service, but also develop into composite suppliers who capable of providing a variety of logistics services . This paper studies the task assignment problem of multi-service capability providers in the port logistics service supply chain. The two-stage logistics service provider task assignment model was built ,which is based on the mixed evaluation method (including MOORA and FMEA) and the multi-objective planning method. Eventually, the effectiveness of the model method was verified by combining with an example.

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.

Equilibrium Conditions of a Logistics Service Supply Chain with a New Smoothing Algorithm

2018 ◽  
Vol 35 (02) ◽  
pp. 1840003
Author(s):  
Wei Liu ◽  
Chan He
Keyword(s):  
Supply Chain ◽  
Service Providers ◽  
Profit Maximization ◽  
Decision Makers ◽  
Risk Minimization ◽  
Equilibrium Conditions ◽  
Service Demand ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Leading Position

In this paper, we develop a logistics service supply chain network equilibrium model in which four tiers of decision makers (logistics service subcontractors (LSS), logistics service providers (LSP), logistics services integrators (LSI) and logistics service demand sides (LSD)) seek to determine their respective optimal conditions, with the LSI holding a leading position. We model the optimizing behavior of decision-makers, with the LSI being multicriteria decision-makers which are concerned with both profit maximization and risk minimization. We derive the equilibrium conditions and establish the finite-dimensional variational inequality (VI) formulation. A new smoothing self-adaptive L-M algorithm is established to solve this problems. Finally, we illustrate the effectiveness and feasibility of the model by an example.

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