Cooperative Production Networks - Multiagent Modeling and Planning

Consumer goods are mainly produced in multiple steps through a long process. These steps are often done by separate, independent production nodes (enterprises), linked by supply chains. The networks of enterprises-- where members have their own objectives and act in an autonomous, rational way to reach their goals--can be naturally modeled by agent-based methodology. The inner structure of each enterprise is similar in the sense that it contains separated planning functions (e.g., production-, inventory-, capacity planning). While the operation inside an enterprise can be controlled centrally, the interaction between the nodes could be synchronized only by negotiation and coordination. Coordination can be based on protocols which regulate information, material and financial flows alike. In this paper we expose an agent-based organizational model of production networks and suggest some planning algorithms which can handle the uncertainty of demand. In addition, we outline the first results of our ongoing research, an analysis of the asymmetric information case and an appropriate coordination mechanism.

[1]  Attila Chikán,et al.  The new role of inventories in business: Real world changes and research consequences , 2007 .

[2]  László Monostori,et al.  Agent-based systems for manufacturing , 2006 .

[3]  George Hendrikse,et al.  The Theory of Industrial Organization , 1989 .

[4]  József Váncza,et al.  A Logistics Framework for Coordinating Supply Chains on Unstable Markets , 2007 .

[5]  Harvey M. Wagner,et al.  Dynamic Version of the Economic Lot Size Model , 2004, Manag. Sci..

[6]  Gérard P. Cachon The Allocation of Inventory Risk in a Supply Chain: Push, Pull, and Advance - Purchase Discount Contracts , 2004, Manag. Sci..

[7]  Vladimír Marík,et al.  Industrial adoption of agent-based technologies , 2005, IEEE Intelligent Systems.

[8]  Y. Narahari,et al.  Production, Manufacturing and Logistics Object oriented modeling and decision support for supply chains , 2004 .

[9]  József Váncza,et al.  Incentives for cooperative planning in focal supply networks , 2006 .

[10]  Michael Luck,et al.  Agent technology, Computing as Interaction: A Roadmap for Agent Based Computing , 2005 .

[11]  Lucien Vincent,et al.  Role Based and Processes Based Modelling Approach for Organization Network , 2004, Virtual Enterprises and Collaborative Networks.

[12]  Kenneth N. Brown,et al.  An efficient MIP model for the capacitated lot-sizing and scheduling problem with sequence-dependent setups , 2009 .

[13]  Nicholas R. Jennings,et al.  The Gaia Methodology for Agent-Oriented Analysis and Design , 2000, Autonomous Agents and Multi-Agent Systems.

[14]  Philip M. Kaminsky,et al.  Designing and managing the supply chain : concepts, strategies, and case studies , 2007 .

[15]  Albert P. M. Wagelmans,et al.  A comparison of methods for lot-sizing in a rolling horizon environment , 2005, Oper. Res. Lett..

[16]  Paul Goodwin,et al.  Providing support for decisions based on time series information under conditions of asymmetric loss , 2005, Eur. J. Oper. Res..

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

[18]  József Váncza,et al.  Coordinating supply networks in customized mass production - a contract-based approach , 2006 .

[19]  József Váncza,et al.  Cooperative Planning in the Supply Network - A Multiagent Organization Model , 2005, CEEMAS.

[20]  Qinan Wang,et al.  Coordination mechanisms of supply chain systems , 2007, Eur. J. Oper. Res..

[21]  Wallace J. Hopp,et al.  Factory physics : foundations of manufacturing management , 1996 .