A multi-agent architecture for reverse logistics in a green supply chain

International Journal of Production Research

Volumn 50, Issue 9, 2012, Pages 2396-2406

  Mishra, N ^a   Kumar, V ^b   Chan, F T S ^c  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

^b DUBLIN CITY UNIVERSITY   (Ireland)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Green supply chain; Multi agent; Recycling; Reverse logistics; Waste

Indexed keywords

ARCHITECTURE; AUTONOMOUS AGENTS; CHAINS; LOGISTICS; MANUFACTURE; RECYCLING; SUPPLY CHAINS; WASTES;

ENVIRONMENTAL CONCERNS; GREEN SUPPLY CHAIN; LOGISTICS MANAGEMENT; MANUFACTURING INDUSTRIES; MULTI AGENT; MULTIAGENT ARCHITECTURE; REVERSE LOGISTICS; WASTE CLASSIFICATION;

MULTI AGENT SYSTEMS;

EID: 84864409807     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2011.581003     Document Type: Review

References (33)

1. Beamon, B. M., 1999. Designing the green supply chain. Logistics Information Management, 12(4), 332-342.
2. Chan, F. T. S. and Chan, H. K., 2004. A new model for manufacturing supply chain networks: a multi agent approach. Proceedings of the Institution of Mechanical Engineers, Part B. Journal of Engineering Manufacture, 218(4), 443-454. (Pubitemid 41410937)
3. Chan, F. T. S. and Kumar, V., 2009. Performance optimization of a legality inspired supply chain model: a CFGTSA algorithm based approach. International Journal of Production Research, 47(3), 777-799.
4. Dyckhoff, H., Lackes, R., and Reese, J., 2004. Supply chain management and reverse logistics. London, Springer: Springer.
5. de Castro, L. N. and Timmis, J., 2002. An artificial immune network for multimodal function optimization. In: Proceedings of the 2002 congress on evolutionary computation, CEC '02, 12-17 May 2002, Honolulu, HI, USA, 699-704.
6. Fan, X., Yen, J., and Volz, R. A., 2005. A theoretical framework on proactive information exchange in agent teamwork. Artificial Intelligence, 169(1), 23-97. (Pubitemid 41506953)
7. Fan, X., et al., 2006. MALLET - a multi-agent logic language for encoding teamwork. IEEE Transactions on Knowledge and Data Engineering, 18(1), 123-138. (Pubitemid 43145093)
8. Fiksel, J. R., 1996. Design for environment: creating eco-efficient products and processes. New York, McGraw-Hill: McGraw-Hill.
9. Finin, T., et al., 1994. KQML as an agent communication language. In: Proceedings of the third international conference on information and knowledge management, Gaithersburg, MD, 456-463.
10. Gomes, C. P. and Selman, B., 2001. Algorithm portfolios. Artificial Intelligence, 126(1/2), 43-62. (Pubitemid 32196231)
11. Graedel, T. E., Allenby, B. R., and Comrie, P. R., 1995. Matrix approaches to abridged life cycle assessment. Environmental Science & Technology, 29(3), 134-139.
12. Green, K. C. and Armstrong, J. S., 2007. Structured analogies for forecasting. International Journal of Forecasting, 23(3), 365-376.
13. Gungor, A. and Gupta, S. M., 1999. Issues in environmentally conscious manufacturing and product recovery: a survey. Computers & Industrial Engineering, 36(4), 811-853. (Pubitemid 30527322)
14. Hart, S. L., Milstein, M. B., and Caggiano, J., 2003. Creating sustainable value. The Academy of Management Executive (1993), 17(2), 56-69.
15. Hervani, A. A., Helms, M. M., and Sarkis, J., 2005. Performance measurement for green supply chain management. Benchmarking: an International Journal, 12(4), 330-353. (Pubitemid 41053450)
16. Hoshino, T., Yura, K., and Hitomi, K., 1995. Optimization analysis for recycle-oriented manufacturing systems. International Journal of Production Research, 33(8), 2069-2078.
17. Ishii, K., Eubanks, C. F., and Marks, M., 1993. Evaluation methodology for post-manufacturing issues in life-cycle design. Concurrent Engineering, 1(1), 61-68.
18. Lau, H. Y. K. and Wong, V. W. K., 2006. An immunity-based distributed multiagent-control framework. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 36(1), 91-108. (Pubitemid 43072318)
19. Lee, J.-H. and Kim, C.-O., 2008. Multi-agent systems applications in manufacturing systems and supply chain management: a review paper. International Journal of Production Research, 46(1), 233-265. (Pubitemid 350130206)
20. Markley, M. J. and Davis, L., 2007. Exploring future competitive advantage through sustainable supply chains. International Journal of Physical Distribution & Logistics Management, 37(9), 763-774.
21. McIntyre, K., et al., 1998. Environmental performance indicators for integrated supply chains: the case of Xerox Ltd. Supply Chain Management, 3(3), 149-156. (Pubitemid 39034464)
22. Min, H. and Galle, W. P., 2001. Green purchasing practices of US firms. International Journal of Operations & Production Management, 21(9), 1222-1238.
23. Mishra, N., Choudhary, A. K., and Tiwari, M. K., 2008. Modeling the planning and scheduling across the outsourcing supply chain: a chaos based fast tabu-SA approach. International Journal of Production Research, 46(13), 3683-3715. (Pubitemid 351598788)
24. Mishra, N., Kumar, V., and Chan, F. T. S., 2010. A multi-agent framework for agile outsourced supply chains. In: L. Wang and S. C. L. Koh, eds. Enterprise networks and logistics for agile manufacturing. 1st ed. Berlin: Springer.
25. O'Brien, P. D. and Nicol, R. C., 1998. FIPA - Towards a standard for software agents. BT Technology Journal, 16(3), 51-59.
26. Sarkis, J., 1995. Manufacturing strategy and environmental consciousness. Technovation, 15(2), 79-97.
27. Sarkis, J., 2003. A strategic decision framework for green supply chain management. Journal of Cleaner Production, 11(4), 397-409.
28. Sebhatu, S. P. and Enquist, B., 2007. ISO 14001 as a driving force for sustainable development and value creation. The TQM Magazine, 19(5), 468-482. (Pubitemid 47319914)
29. Shukla, S. K., Tiwari, M. K., and Son, Y. J., 2008. Bidding based multi-agent system for integrated process planning and scheduling: a data mining and hybrid tabu-SA algorithm oriented approach. International Journal of Advanced Manufacturing Technology, 38(1/2), 163-175.
30. Vachon, S., 2007. Green supply chain practices and the selection of environmental technologies. International Journal of Production Research, 45(18/19), 4357-4379. (Pubitemid 47351663)
31. Vachon, S. and Klassen, R., 2006. Extending green practices across the supply chain: the impact of upstream and downstream. International Journal of Operations & Production Management, 26(7), 795-821. (Pubitemid 43936725)
32. Watkins, A., Timmis, J., and Boggess, L., 2004. Artificial Immune Recognition System (AIRS): an immune-inspired supervised learning algorithm. Genetic Programming and Evolvable Machines 5(3), 291-317.
33. Yen, J., et al., 2001. CAST: collaborative agents for simulating team works. In: Proceedings of IJCAI'2001, 17(2), 1135-1142.