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Multi-agent based supply chain modelling with dynamic environment

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  • Kaihara, Toshiya

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  • Kaihara, Toshiya, 2003. "Multi-agent based supply chain modelling with dynamic environment," International Journal of Production Economics, Elsevier, vol. 85(2), pages 263-269, August.
    • Handle: RePEc:eee:proeco:v:85:y:2003:i:2:p:263-269
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    References listed on IDEAS

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    1. Kaihara, Toshiya, 2001. "Supply chain management with market economics," International Journal of Production Economics, Elsevier, vol. 73(1), pages 5-14, August.
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    Cited by:

    1. Tao Zhang & Quanyan Zhu, 2020. "Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population," Papers 2003.03173, arXiv.org, revised May 2020.
    2. Kowalski, Michał & Lee, Zach W.Y. & Chan, Tommy K.H., 2021. "Blockchain technology and trust relationships in trade finance," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Mosahar Tarimoradi & M. H. Fazel Zarandi & Hosain Zaman & I. B. Turksan, 2017. "Evolutionary fuzzy intelligent system for multi-objective supply chain network designs: an agent-based optimization state of the art," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1551-1579, October.
    4. Massari, Giovanni Francesco & Giannoccaro, Ilaria, 2021. "Investigating the effect of horizontal coopetition on supply chain resilience in complex and turbulent environments," International Journal of Production Economics, Elsevier, vol. 237(C).
    5. Arthur Huang & David Levinson, 2011. "Why Retailers Cluster: An Agent Model of Location Choice on Supply Chains," Environment and Planning B, , vol. 38(1), pages 82-94, February.
    6. Soroor, Javad & Tarokh, Mohammad J. & Shemshadi, Ali, 2009. "Initiating a state of the art system for real-time supply chain coordination," European Journal of Operational Research, Elsevier, vol. 196(2), pages 635-650, July.
    7. Biserka Runje & Elizabeta Krstic Vukelja & Amalija Horvatic, 2015. "Comparison of Different Simulations Methods in Case of Service-Providing Companies," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 13(3), pages 472-478.
    8. de la Fuente, M. Victoria & Ros, Lorenzo & Cardos, Manuel, 2008. "Integrating Forward and Reverse Supply Chains: Application to a metal-mechanic company," International Journal of Production Economics, Elsevier, vol. 111(2), pages 782-792, February.
    9. Xu, Liming & Mak, Stephen & Brintrup, Alexandra, 2021. "Will bots take over the supply chain? Revisiting agent-based supply chain automation," International Journal of Production Economics, Elsevier, vol. 241(C).
    10. Papapostolou, Christiana & Kondili, Emilia & Kaldellis, John K., 2011. "Development and implementation of an optimisation model for biofuels supply chain," Energy, Elsevier, vol. 36(10), pages 6019-6026.
    11. Shiyu Chen & Wei Wang & Enrico Zio, 2021. "A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains," Energies, MDPI, vol. 14(9), pages 1-27, May.
    12. Fu-ren Lin & Shyh-ming Lin, 2006. "Enhancing the Supply Chain Performance by Integrating Simulated and Physical Agents into Organizational Information Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-1.
    13. Tsiakis, Panagiotis & Papageorgiou, Lazaros G., 2008. "Optimal production allocation and distribution supply chain networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 468-483, February.
    14. repec:zna:indecs:v:13:y:2015:i:2:p:472-478 is not listed on IDEAS
    15. Roberto Dominguez & Salvatore Cannella, 2020. "Insights on Multi-Agent Systems Applications for Supply Chain Management," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    16. Meng, Qingfeng & Li, Zhen & Liu, Huimin & Chen, Jingxian, 2017. "Agent-based simulation of competitive performance for supply chains based on combined contracts," International Journal of Production Economics, Elsevier, vol. 193(C), pages 663-676.
    17. Niels Bugert & Rainer Lasch, 2023. "Analyzing upstream and downstream risk propagation in supply networks by combining Agent-based Modeling and Bayesian networks," Journal of Business Economics, Springer, vol. 93(5), pages 859-889, July.
    18. Lo, Wei-Shuo & Hong, Tzung-Pei & Jeng, Rong, 2008. "A framework of E-SCM multi-agent systems in the fashion industry," International Journal of Production Economics, Elsevier, vol. 114(2), pages 594-614, August.

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