Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/510378.510636acmconferencesArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article
Free access

Agent-based simulation applications: multi-agent enabled modeling and simulation towards collaborative inventory management in supply chains

Published: 10 December 2000 Publication History

Abstract

This paper is framed to address the preliminary approach towards process-oriented collaborative inventory management in supply chains, taking advantage of multi-agent technology in terms of modeling and simulation. Initially, a SCM support model is proposed as a foundation to combine the supply chain processes with the multi-agent system. In succession, a simple PC assembling case is investigated and simulated mainly to validate the SCM support model. As a result, the combination has the potential to make possible a real strategic competitive advantage for the entire supply chain and will enable new forms of business, namely, collaborative inventory management. Accordingly, a theoretical framework of collaborative inventory management is highlighted to refine and extend the SCM support model with the purpose to synchronize decisions as well as actions.

References

[1]
Barbuceanu, M., and M. S. Fox. 1996. Coordinating multiple agents in the supply chain. In Proceedings of the Fifth Workshops on Enabling Technology for Collaborative Enterprises, WET ICE'96, IEEE, 134-141. Computer Society Press.
[2]
Beck, J. C., and M. S. Fox. 1994. Supply chain coordination via mediated constraint relaxation. In Proceedings of the First Canadian Workshop on Distributed Artificial Intelligence, Banff, AB. Available online from ⟨http://www.eil.utoronto.ca/papers/iscm.html.⟩
[3]
Chopra, S., and P. Meindl. 2000. Managing supply chain flows. J. L. Kellogg Graduate School of Management, Northwestern University.
[4]
Finin, T., Y. Labrou, and J. Mayfield. 1997. KQML as an agent communication language. Software Agents, ed., Jeff Bradshaw. Cambridge: MIT Press.
[5]
Fox, M. S., J. F. Chionglo, and M. Barbuceanu. 1993. The integrated supply chain management system. Internal Report, Dept. of Industrial Engineering, University of Toronto.
[6]
Fu, Y. H., R. de Souza, and Z. Y. Zhao. 2000. Multi-agent enabled modeling and coordination with application to supply chain management. In Proceedings of 5th International Conference on Computer Integrated Manufacturing, ed., Jasbir Singh, Lew Sin Chye, and Robert Gay, 173-184. Gintic Institute of Manufacturing Technology, Singapore.
[7]
Hildum, D. W., N. M. Sadeh, and T. J. Laliberty, S. Smith, and D. Kjenstad. 1997. Blackboard agents for mixed-initiative management of integrated process-planning/production-scheduling solutions across the supply chain. In Proceedings of the Ninth Conference on Innovative Applications of Artificial Intelligence (IAAI-97). Available online from ⟨http://www.ri.cmu.edu/pubs/pub_2081.html.⟩
[8]
Hinkkanen, A., R. Kalakota, P. Saengcharoenrat, and A. B. Whinston, 1997. Distributed decision support systems for real time supply chain management using agent technologies. Chapter 12 in Readings in Electronic Commerce, ed., R. Kalakota, and A. B. Whinston, 275-291. Addison Wesley.
[9]
Jennings, N. R. 1994. Cooperation in industrial multi-agent systems. Singapore: World Scientific.
[10]
Kalakota, R., J. Stallaert, and A. B. Whinston, 1996. Implementing Real-time Supply Chain Optimization Systems. Available online from ⟨http://cism.bus.utexas.edu/sc_imp.html.⟩
[11]
Lin, F. R., G. W. Tan, and M. J. Shaw. 1999. Multiagent enterprise modeling. Journal of Organizational Computing and Electronic Commerce, 9(1): 7-32.
[12]
Papazoglou, M. P., and Willem-Jan van den Heuvel. 1999. From business processes to cooperative information systems: an information agents perspective. In Intelligent Information Agents: Agent-Based Information Discovery and Mangement on the Internet, ed., Matthias Klusch, 10-36. Berlin Heidelberg: Springer-Verlag.
[13]
Parunak, H. V. D. 1998. What can agents do in industry, and why? an overview of industrially-oriented r&d at cec. In Proceedings of CIA'98. Available online from ⟨⟨http://www.erim.org/cec/pubs.htm.⟩
[14]
Sadeh, N. M., D. W. Hildum, D. Kjenstad, and A. Tseng, 1999. MASCOT: an agent-based architecture for coordinated mixed-initiative supply chain planning and scheduling. In Proceedings of Third International Conference on Autonomous Agents (Agents' 99) Workshop on Agent-Based Decision Support for Managing the Internet-Enabled Supply Chain, Settle WA. Available online from ⟨http://www.ri.cmu.edu/pubs/pub_3164.htm.⟩
[15]
Silver, E. A., D. F. Pyke, et al. 1998. Inventory management and production planning & scheduling. 3rd Ed. New York: John Wiley.
[16]
Stewart, G. 1997. Supply-chain operations reference model (SCOR): the first cross-industry framework for integrated supply-chain management. Logistics Information Management, 10(2): 62-67.
[17]
Supply-Chain Council (SCC). 1999. Supply-Chain Operations Reference-model: Overview Version 3.0. Available online from http://www.supply-chain.org.
[18]
Swaminathan, J. M., S. F. Smith, and N. M. Sadeh, 1998. Modeling supply chain dynamics: a multiagent approach. Decision Sciences, 29(3). Available online from ⟨http://www.ri.cmu.edu/pubs/pub_3166.html.⟩
[19]
Yokoo, M., E. H. Durfee, T. Ishida, and K. Kuwabara. 1998. The distributed constraint satisfaction problem: formalization and algorithms. IEEE Transactions on Knowledge and Data Engineering, 10(5): 673-685.
[20]
Yung, S. K., and C. C. Yang. 1999. A new approach to solve supply chain management problem by integrating multi-agent technology and constraint network. In Proceedings of 32nd Annual Hawaii International Conference On System Sciences, IEEE. Available online from ⟨http://www.terry.uga.edu/hicss/diglib.htm.⟩

Cited By

View all
  • (2008)Simulation modeling and analysis for in-store merchandizing of retail stores with enhanced information technologyProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517042(1702-1710)Online publication date: 7-Dec-2008
  • (2007)Advances in analyticsIBM Journal of Research and Development10.1147/rd.513.047751:3(477-487)Online publication date: 1-May-2007
  • (2006)Agent-based demand forecast in multi-echelon supply chainDecision Support Systems10.1016/j.dss.2005.01.00942:1(390-407)Online publication date: 1-Oct-2006
  • Show More Cited By
  1. Agent-based simulation applications: multi-agent enabled modeling and simulation towards collaborative inventory management in supply chains

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      WSC '00: Proceedings of the 32nd conference on Winter simulation
      December 2000
      2014 pages

      Sponsors

      • IIE: Institute of Industrial Engineers
      • ASA: American Statistical Association
      • SIGSIM: ACM Special Interest Group on Simulation and Modeling
      • IEEE/CS: Institute of Electrical and Electronics Engineers/Computer Society
      • NIST: National Institute of Standards and Technology
      • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation
      • IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
      • SCS: The Society for Computer Simulation International

      Publisher

      Society for Computer Simulation International

      San Diego, CA, United States

      Publication History

      Published: 10 December 2000

      Check for updates

      Qualifiers

      • Article

      Conference

      WSC00
      Sponsor:
      • IIE
      • ASA
      • SIGSIM
      • IEEE/CS
      • NIST
      • INFORMS-CS
      • IEEE/SMCS
      • SCS
      WSC00: Winter Simulation Conference
      December 10 - 13, 2000
      Florida, Orlando

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)15
      • Downloads (Last 6 weeks)6
      Reflects downloads up to 15 Oct 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2008)Simulation modeling and analysis for in-store merchandizing of retail stores with enhanced information technologyProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517042(1702-1710)Online publication date: 7-Dec-2008
      • (2007)Advances in analyticsIBM Journal of Research and Development10.1147/rd.513.047751:3(477-487)Online publication date: 1-May-2007
      • (2006)Agent-based demand forecast in multi-echelon supply chainDecision Support Systems10.1016/j.dss.2005.01.00942:1(390-407)Online publication date: 1-Oct-2006
      • (2005)Study of virtual organizations using multi-agent systemProceedings of the fourth international joint conference on Autonomous agents and multiagent systems10.1145/1082473.1082666(1147-1178)Online publication date: 25-Jul-2005
      • (2005)Cooperative planning in the supply networkProceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications10.1007/11559221_35(346-356)Online publication date: 15-Sep-2005
      • (2005)Feasibility of multi-agent simulation for the trust and tracing gameProceedings of the 18th international conference on Innovations in Applied Artificial Intelligence10.1007/11504894_22(145-154)Online publication date: 22-Jun-2005
      • (2003)Agent architecture for agent-based supply chain integration & coordinationACM SIGSOFT Software Engineering Notes10.1145/882240.88225628:4(5-5)Online publication date: 1-Jul-2003

      View Options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Get Access

      Login options

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media