A multiagent negotiation based model to support the collaborative supply chain planning process

Multiagent systems are inherently distributed and support well the modelling of organizational issues such as negotiation mechanisms and workflows. In this sense, a decentralized supply chain configuration process can be easily modelled as an information sharing processes where nodes (agents) collaborate, for example, in planning and decision-making. This paper presents a novel collaborative planning model for supply chain networks that supports a distributed negotiation process from a decentralized perspective. The hypothesis presented herein is that by collaborating in the information exchange related with the visibility of the demand plans, improvements on the total profit level of the supply chain nodes, and of the supply chain as whole, can be found.

[1]  Alexander V. Smirnov,et al.  BTO supply chain configuration via agent-based negotiation , 2009, Int. J. Manuf. Technol. Manag..

[2]  C. Soosay,et al.  Supply chain collaboration : capabilities for continuous innovation , 2008 .

[3]  Weiming Shen,et al.  Applications of agent-based systems in intelligent manufacturing: An updated review , 2006, Adv. Eng. Informatics.

[4]  Gong Wang,et al.  A study on multi-agent supply chain framework based on network economy , 2008, Comput. Ind. Eng..

[5]  Gregor Dudek,et al.  Collaborative Planning in Supply Chains , 2004 .

[6]  Sophie D'Amours,et al.  Study of the performance of multi-behaviour agents for supply chain planning , 2009, Comput. Ind..

[7]  Aneesh Zutshi Importance of Global Co-innovation Networks: A TCS Case Study , 2009 .

[8]  David W. Hildum,et al.  MASCOT: An Agent-based Architecture for Coordinated Mixed-Initiative Supply Chain Planning and Scheduling , 1999 .

[9]  David Z. Zhang,et al.  Agent-based model for optimising supply-chain configurations , 2008 .

[10]  Y.-E. Nahm,et al.  A hybrid multi-agent system architecture for enterprise integration using computer networks , 2005 .

[11]  François Bousquet,et al.  Multi-agent simulations and ecosystem management: a review , 2004 .

[12]  Raul Poler,et al.  SCAMM-CPA: A supply chain agent-based modelling methodology that supports a collaborative planning process , 2009 .

[13]  Maria Moise,et al.  Management of Web Services Communities, WSC System , 2010 .

[14]  Andrew B. Whinston,et al.  Using client-broker-server architecture for Intranet decision support , 1997, Decis. Support Syst..

[15]  Heeseok Lee,et al.  An organizational memory for facilitating knowledge: an application to e-business architecture , 2004, Expert Syst. Appl..

[16]  Stephen John Turner,et al.  A decoupled federate architecture for high level architecture-based distributed simulation , 2008, J. Parallel Distributed Comput..

[17]  Weiming Shen,et al.  A multi-resolution collaborative architecture for web-centric global manufacturing , 2000, Inf. Sci..

[18]  Bongju Jeong,et al.  Decentralized supply chain planning framework for third party logistics partnership , 2008, Comput. Ind. Eng..

[19]  Jonathan Gaudreault,et al.  Agent-based supply-chain planning in the forest products industry , 2007 .