AVE–CPFR WORKING CHAINS ON THE BASIS OF SELECTION MODEL OF COLLABORATIVE CREDIT-GRANTING GUARANTEE APPROACHES

Shu Tong, Shou Chen, Chi Xie, Shouyang Wang () and Kin Keung Lai
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Shou Chen: College of Business Administration, Hunan University, Changsha, Hunan 410082, China
Chi Xie: College of Business Administration, Hunan University, Changsha, Hunan 410082, China
Shouyang Wang: Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing 100080, China;
Kin Keung Lai: Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China

International Journal of Information Technology & Decision Making (IJITDM), 2010, vol. 09, issue 02, 301-325

Abstract: This paper presents AVE and CPFR concepts and their characteristics, establishes and analyzes the AVE-based CPFR working flow, and illustrates the content of the grid resource management and the mission in relation to the corresponding grid resource management system. It focuses on the working flow of the AVE-based CPFR. On this basis, it proposes the AVE-related CPFR mechanism grounded on grid, and further analyzes its working principles, grid methods matching the AVE-related CPFR working flow, the strengths of this mechanism as well as then-tier prediction working flow. In addition, it constructs the selection model of credit-granting guarantee approaches and provides evidence for it. Under this mechanism, credit risk in the AVE enterprises can be optimized, and the AVE chain matches the working mechanism of CPFR in their capacities of real-time resource sharing,n-tier resource allocation, mission assignment, control, and supervision. It is hoped that the distance management and risk blockage could be achieved in supply chains within AVE enterprises by establishing a strong self-organized and self-control working chain.

Keywords: Credit risk; credit-granting guarantee; AVE; CPFR; grid (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1142/S021962201000383X

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