Optimal reorder decision-making in the agent-based apparel supply chain

Expert Systems with Applications

Volumn 36, Issue 4, 2009, Pages 8571-8581

  Pan, A ^a   Leung, S Y S ^a   Moon, K L ^a   Yeung, K W ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b Clothing Industry Training Authority Kowloon   (Hong Kong)

Author keywords

Agent; Decision making; Reorder strategy

Indexed keywords

AGENTS; DECISION THEORY; DISTRIBUTION OF GOODS; FUZZY INFERENCE; INFERENCE ENGINES; MANAGEMENT; OPTIMIZATION; PROGRAMMING THEORY; SUPPLY CHAINS; UNIFIED MODELING LANGUAGE;

AGENT; AGENT TECHNOLOGIES; AGENT-BASED; CHAIN MANAGEMENTS; DECISION-MAKING; DYNAMIC ENVIRONMENTS; FASHION INDUSTRIES; INVENTORY COSTS; MARKET NEEDS; OPTIMAL DECISIONS; ORDERING PROCESS; REORDER POINTS; REORDER STRATEGY; SEASONALITY; SUPPLY CHAIN PROCESS; UNIFIED MODELING;

SUPPLY CHAIN MANAGEMENT;

EID: 60249093505     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.10.081     Document Type: Article

References (32)

1. Brannon, E. L., Ulrich, P. V., Anderson, L. J., & Presley, A. B. (2000). Agent-based simulation of the consumer's apparel purchase decision. National textile center annual report, November, I98-A09.
2. Chatfield D.C., Harrison T.P., and Hayya J.C. SISCO: An object-oriented supply chain simulation system. Decision Support System 42 2006 (2006) 422-434
3. Chi H.M., Ersoy O.K., Moskowitz H., and Ward J. Modeling and optimizing a vendor-managed replenishment system using machine learning and genetic algorithms. European Journal of Operational Research 180 (2007) 174-193
4. Dong, A. H., Wong, W. K., Chan, S. F., & Yeung, P. K. W. (2005). Developing an apparel supply chain simulation model with application of fuzzy logics. In Proceedings of the 17th IMACS world congress: Scientific computation, applied mathematics and simulation. Paris, France.
5. Dong, A. H., Wong, W. K., Chan, S. F., & Yeung, P. K. W. (2006). Improve production balance for apparel supply chain adopting VMI replenishment strategy. In Proceedings of IEEE international conference on management of innovation and technology (Vol. 2, pp. 848-852).
6. Dong, A. H., Wong, W. K., Chan, S. F., & Yeung, P. K. W. (2007). Developing an apparel supply chain simulation system with the application of fuzzy logic. Computational textile (pp.185-200). Springer.
7. Farahani R.Z., and Elahipanah M. A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain. International Journal of Production Economics 111 2008 (2008) 229-243
8. Fung R.Y.K., and Chen T. A multiagent supply chain planning and coordination architecture. International Journal of Advanced Manufacturing Technology 25 2005 (2005) 811-819
9. Gupta, A., Whitman, L., & Agarwal, R. K. (2001). Supply chain agent decision aid system. In Proceedings of the 2001 winter simulation conference (pp. 553-559).
10. Holland J.H. Adaptation in natural and artificial systems (1992), MIT Press, Boston
11. Hyung, J. A., & Sung, J. P. (2003). Modeling of a multi-agent system for coordination of supply chains with complexity and uncertainty. In PRIMA, LNAI (Vol. 2891, pp. 13-24).
12. Jain A.K., Aparico M., and Singh M.P. Agents for process coherence in virtual enterprises. Communications of the ACM 42 3 (1999) 62-69
13. Kaihara T. Supply chain management with market economics. International Journal of Production Economics 73 2001 (2001) 5-14
14. Kaihara T. Multi-agent based supply chain modeling with dynamic environment. International Journal of Production Economics 85 2003 (2003) 263-269
15. Kimbrough S.O., Wu D.J., and Zhong F. Computers play the beer game: can artificial agents manage supply chains. Decision Support Systems 33 2002 (2002) 323-333
16. Liu S.Y., and Wang H.W. Agent architecture for agent-based supply chain integration and coordination. ACM SIGSOFT Software Engineering Notes 28 4 (2003) 5-10
17. Neubert R., Gorlitz O., and Teich T. Automated negotiations of supply contracts for flexible production networks. International Journal of Production Economics 89 2004 (2004) 175-187
18. Odell, J., Parunak, H. V. D., & Bauer, B. (2000). Extending UML for agents. In Proceedings of the agent-oriented information systems workshop at the 17th national conference on artificial intelligence (pp. 1-15).
19. Odell, J., Parunak, H. V. D., & Bauer, B. (2001). Representing agent interaction protocols in UML. In Publication of 1st international workshop AOSE 2000 on agent-oriented software engineering (pp. 121-140).
20. Papazoglou M.P. Agent-oriented technology in support of e-business. Communications of the ACM 44 4 (2001) 71-77
21. Payne, T. R., Paolucci, M., & Sycara, K. (2002). Communicating agents in open multi agent systems. In JPL workshop on radical agent concepts (WRAC), USA. .
22. Roy D., Anciaux D., Monteiro T., and Ouzizi L. Multi-agent architecture for supply chain management. Journal of Manufacturing Technology Management 15 8 (2004) 745-755
23. Schneeweiss C. Distributed decision making in supply chain management. International Journal of Production Economics 84 2003 (2003) 71-83
24. Smathers, D. C., & Goldsmith, S. Y. (2001). Agent concept for intelligent distributed coordination in the electric power grid. Sandia report, March, USA.
25. Venkatadria U., Srinivasanb A., Montreuilc B., and Saraswat A. Optimization-based decision support for order promising in supply chain networks. International Journal of Production Economics 103 2006 (2006) 117-130
26. Wang M.H., Liu J.M., Wang H.Q., Cheung W.K., and Xie X.F. On-demand e-supply chain integration: A multi-agent constraint-based approach. Expert Systems with Application 34 2008 (2008) 2683-2692
27. Wang P.X., and Wang H.L. Design of management system based on UML for managing supply chain ordering. Journal of Zhongyuan Institute of Technology 16 1 (2005) 26-29
28. Wilson, R. (2004). Fifteenth annual state of logistics report, Council of Supply Chain Management Professionals. .
29. Wong W.K., Qi J., and Leung S.Y.S. Coordinating supply chains with sales rebate contracts and vendor-managed inventory. International Journal of Production Economics (2008) 10.1016/j.ijpe.2008.07.025
30. Wu D.J. Software agents for knowledge management: coordination in multi-agent supply chains and auctions. Expert Systems with Applications 20 2001 (2001) 51-64
31. Yao M.J., and Chu W.M. A genetic algorithm for determining optimal replenishment cycles to minimize maximum warehouse space requirements. Omega 36 2008 (2008) 619-631
32. Zhang X.M., LUO Y., and NIAN J.F. Research of multi-agent system modeling based on agent UML. Journal of Changchun University of Science and Technology 27 3 (2004) 33-35