Fuzzy multiple objective programming and compromise programming with Pareto optimum
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Production-distribution planning in supply chain considering capacity constraints
Computers and Industrial Engineering - Supply chain management
Supply chain modeling: past, present and future
Computers and Industrial Engineering - Supply chain management
A fuzzy goal programming approach for vendor selection problem in a supply chain
Computers and Industrial Engineering
Trading Agents Competing: Performance, Progress, and Market Effectiveness
IEEE Intelligent Systems
Fuzzy Adaptive Agent for Supply Chain Management
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Fuzzy Integrative Performance Evaluation for Supply Chain System
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 02
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Supply chain management (SCM) issues have been popularly discussed in recent years. However, few papers in past literature have been dedicated to the use of fuzzy multi-objective-game framework for analyzing how the strategic partnership influences individual and global performance in a supply chain. This study formulates a game framework for the investigation of strategic behavior of supply chain partners based on fuzzy multi-objective programming, the alliance matrix and achievement level/aspiration degree. This work assumes the partners as having multiple objectives and the supply chain is multi-product and multi-material. To validate our model we simulate the micro- and macro-performance of a supply chain by the achievement level under various partner alliances. In addition, a sensitivity analysis is conducted. Finally, some useful lessons are summarized.