Efficient manufacturing system implementation based on combination between real and virtual factory

At present, before real factories are implemented on the shop floor, methods to evaluate facility control programs for equipment, such as ladder programs for programmable logic controllers (PLC) while mixing and synchronizing real equipment and virtual factory models on the computers, have not been developed. Digital data as virtual factory models which are defined at a design stage cannot be re-used at an implementation stage. These difficulties stop precise and rapid support of a manufacturing system engineering process from the design stage to the implementation stage. In this paper, an intermediation environment to connect real factories and virtual factories is first proposed. This environment consists of a distributed real manufacturing simulation environment (DRMSE) and a distributed simulation environment (DSE). Then DRMSE, which creates evaluating facility control programs while mixing and synchronizing real equipment and virtual factory models before real factories are implemented, is proposed in detail. Production facilities simulators which simulate facility behaviours using signals and data from a real world, and a soft-wiring system which logically wire real world data and simulation world data on the production facilities simulator, are proposed in DRMSE. Finally work was carried out to evaluate the performance of cooperative work.

[1]  Keiji Mitsuyuki,et al.  Manufacturing adapter of distributed simulation systems using HLA , 2002, Proceedings of the Winter Simulation Conference.

[2]  M. Mizukawa,et al.  Implementation and applications of open data network interface 'ORiN' , 2004, SICE 2004 Annual Conference.

[3]  Hironori Hibino,et al.  A Study on Support System for Distributed Simulation System of Manufacturing Systems Using HLA , 2002, DIISM.

[4]  Hironori Hibino Manufacturing System Simulation on Digital Engineering( Digital Engineering) , 2003 .

[5]  Hironori Hibino,et al.  A Synchronization Mechanism without Rollback Function for Distributed Manufacturing Simulation Systems. , 2002 .

[6]  R. M. Fujimoto,et al.  Parallel discrete event simulation , 1989, WSC '89.

[7]  Hirohisa Narita,et al.  Real-time cutting simulation system of a milling operation for autonomous and intelligent machine tools , 2002 .

[8]  Hongtae Kim,et al.  A model for a simulation-based shipbuilding system in a shipyard manufacturing process , 2005, Int. J. Comput. Integr. Manuf..

[9]  Fumio Kojima,et al.  The development of an object-oriented simulation system based on the thought process of the manufacturing system design , 1999 .

[10]  Charles R. McLean,et al.  An Architecture and Interfaces for Distributed Manufacturing Simulation , 2004, Simul..

[11]  Toshiya Kaihara,et al.  A distributed virtual factory in agile manufacturing environment , 2000 .

[12]  Keum-Shik Hong,et al.  A PC-based open robot control system: PC-ORC , 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).

[13]  Ciro A. Rodríguez,et al.  Next-generation manufacturing systems: key research issues in developing and integrating reconfigurable and intelligent machines , 2005, Int. J. Comput. Integr. Manuf..

[14]  Günter Wöhlke,et al.  Digital Planning Validation in automotive industry , 2005, Comput. Ind..

[15]  Yoshiro Fukuda The State of the Arts for Digital Engineering( Digital Engineering) , 2003 .

[16]  Kenji Toda,et al.  Automation of chamfering by an industrial robot; for the case of hole on free-curved surface , 2002 .

[17]  A. Galip Ulsoy,et al.  Reconfigurable manufacturing systems: Key to future manufacturing , 2000, J. Intell. Manuf..

[18]  Edward J. Williams,et al.  Analysis of conveyor systems within automotive final assembly , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[19]  Kai Mertins,et al.  Distributed modelling and simulation of supply chains , 2005, Int. J. Comput. Integr. Manuf..

[20]  J. Norberto Pires,et al.  Object-oriented and distributed approach for programming robotic manufacturing cells , 2000 .

[21]  Stewart Robinson Distributed Simulation and Simulation Practice , 2005, Simul..

[22]  Franci Cus,et al.  Simulation of cutting forces in ball-end milling , 2003 .

[23]  Shankar Sundaram,et al.  Manufacturing process modeling of Boeing 747 moving line concepts , 2002, Proceedings of the Winter Simulation Conference.

[24]  Ciro A. Rodríguez,et al.  Influence of tool path strategy on the cycle time of high-speed milling , 2003, Comput. Aided Des..