A Multi-Agent Platform Design for Adaptive Networks of Intelligent Production Schedulers

Abstract The paper describes an approach of creating innovative knowledge-based multi-agent platform for the developing next-generation of intelligent schedulers for the top Internet services and sensor networks for manufacturing enterprises. As an example the implementation of this approach is described at small machinery manufacturing enterprise. These developments allow to increase service level for clients, reduce costs and delivery time, and improve scalability, performance and reliability of new generation of automated scheduling services.

[1]  Dipti Srinivasan,et al.  An Introduction to Multi-Agent Systems , 2010 .

[2]  George Rzevski,et al.  Magenta Multi-Agent Systems for Dynamic Scheduling , 2009, ICAART.

[3]  Paulo Leitão,et al.  Holonic Rationale and Bio-inspiration on Design of Complex Emergent and Evolvable Systems , 2009, Trans. Large Scale Data Knowl. Centered Syst..

[4]  George Rzevski,et al.  Multi-Agent Real Time Scheduling System for Taxi Companies , 2009 .

[5]  George Rzevski,et al.  A Multi-agent Scheduler for Rent-a-Car Companies , 2009, HoloMAS.

[6]  Thomas I. Strasser,et al.  Usability of Multi-agent Based Control Systems in Industrial Automation , 2009, HoloMAS.

[7]  Paul Valckenaers,et al.  Self-Adaptation for Robustness and Cooperation in Holonic Multi-Agent Systems , 2009, Trans. Large Scale Data Knowl. Centered Syst..

[8]  Michael N. Vrahatis,et al.  Recent approaches to global optimization problems through Particle Swarm Optimization , 2002, Natural Computing.

[9]  Tuomas Sandholm,et al.  An Implementation of the Contract Net Protocol Based on Marginal Cost Calculations , 1993, AAAI.

[10]  Yann Chevaleyre,et al.  Welfare Engineering in Practice: On the Variety of Multiagent Resource Allocation Problems , 2004, ESAW.

[11]  Joseph Y.-T. Leung,et al.  Handbook of Scheduling: Algorithms, Models, and Performance Analysis , 2004 .

[12]  Jo Wyns,et al.  Reference architecture for holonic manufacturing systems, the key to support evolution and reconfiguration , 1999 .

[13]  Luc Bongaerts,et al.  Reference architecture for holonic manufacturing systems: PROSA , 1998 .

[14]  George Rzevski,et al.  MAGENTA Technology: A Family of Multi-Agent Intelligent Schedulers , 2006 .

[15]  George Rzevski,et al.  MagentaToolkit: A Set of Multi-agent Tools for Developing Adaptive Real-Time Applications , 2007, HoloMAS.

[16]  Ana I. Pereira,et al.  A reduction method for semi-infinite programming by means of a global stochastic approach , 2009 .

[17]  Paulo Leitão,et al.  Implementation of a Holonic Control System in a Flexible Manufacturing System , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).