A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain

2010 ◽  
Vol 1 (4) ◽  
pp. 1-12 ◽  
Author(s):  
Xiaofeng Zhang ◽  
William K. Cheung ◽  
ZongWei Luo ◽  
Frank Tong
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Radio Frequency Identification ◽  
Dynamic Environment ◽  
Stackelberg Equilibrium ◽  
Game Model ◽  
Sensitive Information ◽  
Theoretic Approach ◽  
Complex Situation ◽  
Conventional Optimization

With the adoption of radio frequency identification (RFID) technology, information sharing among participants in a supply chain is greatly facilitated, raising privacy concerns on sharing sensitive information. Balancing the conflicts between the improvement of visibility and the decrease of sensitive information shared is paramount. In this paper, the authors propose a leader-follower game model called LFM to model the strategic game between buyer and supplier. A Stackelberg equilibrium state is then computed as the solution to this game model. The proposed approach exhibits better performance when compared with conventional optimization approaches via derivation in terms of the total information sharing level and the total gain acquired verified by the experiments. In the future, the authors will extend this approach to a more complex situation with more participants in a dynamic environment.

A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain

Cyber Crime ◽  
2013 ◽  
pp. 1265-1275
Author(s):  
Xiaofeng Zhang ◽  
William K. Cheung ◽  
ZongWei Luo ◽  
Frank Tong
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Radio Frequency Identification ◽  
Dynamic Environment ◽  
Stackelberg Equilibrium ◽  
Game Model ◽  
Sensitive Information ◽  
Theoretic Approach ◽  
Complex Situation ◽  
Conventional Optimization

With the adoption of radio frequency identification (RFID) technology, information sharing among participants in a supply chain is greatly facilitated, raising privacy concerns on sharing sensitive information. Balancing the conflicts between the improvement of visibility and the decrease of sensitive information shared is paramount. In this paper, the authors propose a leader-follower game model called LFM to model the strategic game between buyer and supplier. A Stackelberg equilibrium state is then computed as the solution to this game model. The proposed approach exhibits better performance when compared with conventional optimization approaches via derivation in terms of the total information sharing level and the total gain acquired verified by the experiments. In the future, the authors will extend this approach to a more complex situation with more participants in a dynamic environment.

A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain

2012 ◽  
pp. 272-282
Author(s):  
Xiaofeng Zhang ◽  
William K. Cheung ◽  
ZongWei Luo ◽  
Frank Tong
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Radio Frequency Identification ◽  
Dynamic Environment ◽  
Stackelberg Equilibrium ◽  
Game Model ◽  
Sensitive Information ◽  
Theoretic Approach ◽  
Complex Situation ◽  
Conventional Optimization

With the adoption of radio frequency identification (RFID) technology, information sharing among participants in a supply chain is greatly facilitated, raising privacy concerns on sharing sensitive information. Balancing the conflicts between the improvement of visibility and the decrease of sensitive information shared is paramount. In this paper, the authors propose a leader-follower game model called LFM to model the strategic game between buyer and supplier. A Stackelberg equilibrium state is then computed as the solution to this game model. The proposed approach exhibits better performance when compared with conventional optimization approaches via derivation in terms of the total information sharing level and the total gain acquired verified by the experiments. In the future, the authors will extend this approach to a more complex situation with more participants in a dynamic environment.

Outsourcing Supply Chain Support and its Effectiveness and Implication in R&D Environment in Singapore

2013 ◽  
pp. 238-264
Author(s):  
Dimitris Folinas ◽  
LH Sim
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Ad Hoc ◽  
Sensitive Information ◽  
Strategic Approach

This study aims to study the outsourcing challenges and issues, specifically related to information sharing between partners that are faced by precision tool R&D organizations in Singapore. The research uses i3lab (a Singapore home grown R&D firm) as the case for study and employs interviews of 5 employees at i3lab. The interviews of the employees of i3lab revealed that there were concerns about security and integrity of the information that is being shared with the outsourcing partners, and this leads to an inherent reluctance in sharing sensitive information. The research also includes interviews of employees from three 3 outsourcing partners of i3lab, and it was found that lack of communications and lack of protocols for facilitating the information sharing between the partners were causes of low standardization, loss of quality, and increased costs, due to delays and re-works. There appeared to be a lack of strategic approach and planning to information sharing at different stages of outsourcing supply chain, which led to ad hoc and inadequate communications.

scholarly journals IoT-based tracking and tracing platform for prepackaged food supply chain

2017 ◽  
Vol 117 (9) ◽  
pp. 1906-1916 ◽  
Author(s):  
Zhi Li ◽  
Guo Liu ◽  
Layne Liu ◽  
Xinjun Lai ◽  
Gangyan Xu
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Real Time ◽  
Radio Frequency Identification ◽  
Food Supply ◽  
Qr Code ◽  
Food Supply Chain ◽  
Content Type ◽  
Fine Grained ◽  
Management Platform

Purpose The purpose of this paper is to propose an effective and economical management platform to realize real-time tracking and tracing for prepackaged food supply chain based on Internet of Things (IoT) technologies, and finally ensure a benign and safe food consumption environment. Design/methodology/approach Following service-oriented architecture, a flexible layered architecture of tracking and tracing platform for prepackaged food is developed. Besides, to reduce the implementation cost while realizing fine-grained tracking and tracing, an integrated solution of using both the QR code and radio-frequency identification (RFID) tag is proposed. Furthermore, Extensible Markup Language (XML) is adopted to facilitate the information sharing among applications and stakeholders. Findings The validity of the platform has been evaluated through a case study. First, the proposed platform is proved highly effective on realizing prepackaged food tracking and tracing throughout its supply chain, and can benefit all the stakeholders involved. Second, the integration of the QR code and RFID technologies is proved to be economical and could well ensure the real-time data collection. Third, the XML-based method is efficient to realize information sharing during the whole process. Originality/value The contributions of this paper lie in three aspects. First, the technical architecture of IoT-based tracking and tracing platform is developed. It could realize fine-grained tracking and tracing and could be flexible to adapt in many other areas. Second, the solution of integrating the QR code and RFID technologies is proposed, which could greatly decrease the cost of adopting the platform. Third, this platform enables the information sharing among all the involved stakeholders, which will further facilitate their cooperation on guaranteeing the quality and safety of prepackaged food.

scholarly journals Research on Third-Party Collecting Game Model with Competition in Closed-Loop Supply Chain Based on Complex Systems Theory

2014 ◽  
Vol 2014 ◽  
pp. 1-22 ◽  
Author(s):  
Junhai Ma ◽  
Yuehong Guo
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Closed Loop ◽  
Market Price ◽  
Critical Value ◽  
Repeated Game ◽  
Stackelberg Equilibrium ◽  
Game Model ◽  
Closed Loop Supply Chain ◽  
Decentralized Decision Making

This paper studied system dynamics characteristics of closed-loop supply chain using repeated game theory and complex system theory. It established decentralized decision-making game model and centralized decision-making game model and then established and analyzed the corresponding continuity system. Drew the region local stability of Nash equilibrium and Stackelberg equilibrium, and a series of chaotic system characteristics, have an detail analysis of the Lyapunov index which is under the condition of different parameter combination. According to the limited rational expectations theory, it established repeated game model based on collection price and marginal profits. Further, this paper analyzed the influence of the parameters by numerical simulations and concluded three conclusions. First, when the collection price is to a critical value, the system will be into chaos state. Second, when the sale price of remanufacturing products is more than a critical value, the system will be in chaos state. Last, the initial value of the collection price is sensitive, small changes may cause fluctuations of market price. These conclusions guide enterprises in making the best decisions in each phase to achieve maximize profits.

scholarly journals Single-Manufacturer Multi-Retailer Supply Chain Models with Discrete Stochastic Demand

2021 ◽  
Vol 13 (15) ◽  
pp. 8271
Author(s):  
Yaqing Xu ◽  
Jiang Zhang ◽  
Zihao Chen ◽  
Yihua Wei
Keyword(s):  
Dynamic Programming ◽  
Supply Chain ◽  
Computational Complexity ◽  
Stackelberg Game ◽  
Programming Model ◽  
Dynamic Programming Method ◽  
Game Model ◽  
Chain Model ◽  
Stochastic Demands ◽  
Demand Models

Although there are highly discrete stochastic demands in practical supply chain problems, they are seldom considered in the research on supply chain systems, especially the single-manufacturer multi-retailer supply chain systems. There are no significant differences between continuous and discrete demand supply chain models, but the solutions for discrete random demand models are more challenging and difficult. This paper studies a supply chain system of a single manufacturer and multiple retailers with discrete stochastic demands. Each retailer faces a random discrete demand, and the manufacturer utilizes different wholesale prices to influence each retailer’s ordering decision. Both Make-To-Order and Make-To-Stock scenarios are considered. For each scenario, the corresponding Stackelberg game model is constructed respectively. By proving a series of theorems, we transfer the solution of the game model into non-linear integer programming model, which can be easily solved by a dynamic programming method. However, with the increase in the number of retailers and the production capacity of manufacturers, the computational complexity of dynamic programming drastically increases due to the Dimension Barrier. Therefore, the Fast Fourier Transform (FFT) approach is introduced, which significantly reduces the computational complexity of solving the supply chain model.

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