Linking autonomous agents to CPFR to improve SCM-Reference-Cited by-同舟云学术

Linking autonomous agents to CPFR to improve SCM

Published:2006-09-01 Issue:5 Volume:19 Page:465-482
ISSN:1741-0398
Container-title:Journal of Enterprise Information Management
language:en
Short-container-title:

Author:

Caridi M.,Cigolini R.,De Marco D.

Abstract

PurposeThe standpoint of this research lies in the study of the CPFR process for trading partners (belonging to the same supply chain) who are willing to collaborate in exchanging sales and order forecast. This points out the need for providing a collaboration process with an intelligent tool to optimise negotiation.Design/methodology/approachA literature review and classification has been carried out concerning autonomous agents used to manage supply chain processes. To evaluate the strengths coming from an intelligent system embedded within the CPFR process, several experiments in different conditions were conducted using simulation tool.FindingsThe analysis of experimental results points out that the agent‐driven negotiation process (by comparison to CPFR without intelligent agents) benefits in terms of costs, inventory level, stock‐out level and sales.Research limitations/implicationsThe study represents a one‐to‐one scenario, in which only two trading partners collaborate. Further, research has been identified to extend the work.Practical implicationsThe study represents a first step towards the analysis of a multi‐agent system being used to automate and optimise collaboration along a supply chain.Originality/valueThe study represents a novel approach to resolving exceptions concerning sales and forecast data.

Publisher

Emerald

Subject

Information Systems,Management of Technology and Innovation,General Decision Sciences

Reference30 articles.

1. Amaral, J. and Turner, L. (2001), “Supply chain versus supply chain: collaborating to survive and thrive in the Internet economy”, Semiconductor Fabtech, Vol. 13, pp. 45‐8.

2. Aviv, Y. (2001), “The effect of collaborative forecasting on supply chain performance”, Management Science, Vol. 47 No. 10, pp. 1326‐43.

3. Baumgaertel, H., Brueckner, S., Parunak, V., Vanderbok, R. and Wilke, J. (2003), “Agent models of supply network dynamics”, in Harrison, T. (Ed.), The Practice of Supply Chain Management, Kluwer Academic Publishers, Norwall, MA, pp. 315‐44.

4. Beck, J. and Fox, M. (1994), “Supply chain coordination via mediated constraint relaxation”, Proceedings of the 1st Canadian Workshop on Distributed Artificial Intelligence, Banff, AB, May 15.

5. Bonde, H.S. and Hvolby, H.H. (2004), “Collaborative demand planning”, Proceedings of the IMS International Forum 2004, Cernobbio, Italy, May 17 – 19,Vol. 2, pp. 1213‐20.

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