Dynamic Construction of Virtual System in Real-Virtual Fusion Manufacturing System

On automated manufacturing system, it is commonly difficult to execute real production according to the schedule planned in advance because of the external fluctuations such as order change and delayed delivery of materials, and internal uncertain factors such as machine failure and process delay existing in real shop floor. In this study, a new concept of agent-based Real-Virtual Fusion Manufacturing System (RVF-MS) is proposed, which aims to adaptively and effectively consider both the external and internal fluctuations by realizing the fusion between real production shop floor (real system) and manufacturing simulation (virtual system). In this paper, a method of constructing virtual system in dynamic manufacturing environment is proposed, and effectiveness of the proposal is verified by experiments about production planning problem on flexible flow shop using model plant.

[1]  X. Fang Introducing fundamental concepts of manufacturing systems to fresh engineering students by physical simulation of automated factory , 1997 .

[2]  Susumu Fujii,et al.  2104 Performance Evaluation of Production Control System with a Distributed Virtual Factory Experiments on APS System , 2005 .

[3]  Paulo Leitão,et al.  Experimental Validation of ADACOR Holonic Control System , 2005, HoloMAS.

[4]  Jonathan R. Agre,et al.  Autoconfigurable distributed control systems , 1995, Proceedings ISADS 95. Second International Symposium on Autonomous Decentralized Systems.

[5]  Yoshiro Fukuda,et al.  Efficient manufacturing system implementation based on combination between real and virtual factory , 2006 .

[6]  P. Leitao,et al.  ADACOR: a collaborative production automation and control architecture , 2005, IEEE Intelligent Systems.

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

[8]  Paulo Leitão,et al.  A holonic approach to dynamic manufacturing scheduling , 2008 .

[9]  Haruhiko Suwa,et al.  Capability of cumulative delay based reactive scheduling for job shops with machine breakdowns , 2007, Comput. Ind. Eng..

[10]  Duncan C. McFarlane,et al.  A holonic component-based approach to reconfigurable manufacturing control architecture , 2000, Proceedings 11th International Workshop on Database and Expert Systems Applications.

[11]  Paulo Leitão Holonic Rationale and Self-organization on Design of Complex Evolvable Systems , 2009, HoloMAS.

[12]  Toshiya Kaihara,et al.  A Study on Data Handling Mechanism of a Distributed Virtual Factory , 2002 .

[13]  Rei Hino,et al.  Decentralized Job Shop Scheduling by Recursive Propagation Method , 2002 .