Method to Control Manufacturing Cell by Driving Simulation Model
Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan
In this paper, a method to Control a Manufacturing Cell by Driving Simulation Models (CMC-DSM) is proposed. The purposes of CMC-DSM is not only to directly operate the manufacturing cell while controlling and monitoring the manufacturing cell based on a simulation model in the manufacturing system execution phase, but also to support the manufacturing engineering processes based on the simulation model. In the manufacturing engineering processes, the simulation model is mixed and synchronized with real equipment and management applications in the case where parts of equipment and manufacturing management applications are not provided in the manufacturing cell. In the manufacturing system execution phase, when the simulation model acts in response to manufacturing system behaviors, the manufacturing system is controlled by synchronizing the simulation model behaviors. In this paper, the Environment required to Control a Manufacturing Cell by Driving Simulation Models (E-CMC-DSM) is proposed. The necessary functions for E-CMC-DSM are defined and developed. E-CMC-DSM consists of a simulator developed to drive simulation models (EMU), a soft-wiring system developed in this study, and a semi-standard industrial network middleware. The validation of ECMC-DSM was carried out through a case study.
-  A. Molina, C. Rodriguez, H. Ahuett, J. Cortes, M. Ramirez, G. Jimenez, and S. Martinez, “Next-generation Manufacturing Systems: Key Research Issues in Developing and Integrating Reconfigurable and Intelligent Machines,” I. J. Computer Integrated Manufacturing, Vol.18, pp. 525-536, 2005.
-  G. Mehrabi, G. Ulsoy, and Y. Koren, “Reconfigurable manufacturing systems: key to future manufacturing,” J. Intelligent Manufacturing, Vol.11, pp. 403-419, 2000.
-  Y. Fukuda, “The state of the arts for digital engineering,” J. Japan Society of Mechanical Engineers, Vol.106, pp. 230-233, 2003. (in Japanese)
-  H. Hibino and Y. Fukuda, “Emulation in Manufacturing Engineering Processes,” 2008 Winter Simulation Conf., pp. 1785-1793, ISBN:978-1-4244-2708-6, 2008.
-  E. Williams and H. Celik, “Analysis of conveyor systems within automotive final assembly,” Proc. of the 1998 Winter Simulation Conf., pp. 915-920, 1998.
-  R. Lu and S. Sundaram, “Manufacturing process modeling of Boeing 747 moving line concepts,” Proc. of the 2002Winter Simulation Conf., pp. 1041-1045, 2002.
-  F. Schneider, “The virtual factory at Opel,” Proc. of the IFIP WG 5.7 Working Conf. on Human Aspects in Production Management, Vol.1, pp. 114-119, 2003.
-  G. Wohlke and E. Schiller, “Digital planning validation in automotive industry,” Proc. of the IFIP WG 5.7 Working Conf. on Human Aspects in Production Management, Vol.1, pp. 120-128, 2003.
-  K. Mitsuyuki, F. Kojima, H. Douba, Y. Fukuda, and E. Arai, “Simulation to design and improve kanban system,” CIRP J. Manufacturing Systems, Vol.33, pp. 200-206, 2004.
-  H. Kim, S. Lee, J. Park, and J. Lee, “A model for a simulation-based shipbuilding system in a shipyard manufacturing process,” Int. J. Computer Integrated Manufacturing, Vol.18, pp. 427-441, 2005.
-  H. Hibino, T. Sakuma, M. Yamaguchi, “Evaluation system for energy consumption and productivity in manufacturing system simulation,” Int. J. of Automation Technology, Vol.6, No.3, pp. 279-288, 2012.
-  J. Pires and J. Costa, “Object-oriented and distributed approach for programming robot manufacturing cells,” Robotics and Computer Integrated Manufacturing, Vol.16, pp. 29-42, 2000.
-  K. Hong, K Choi, J. Kim, and S. Lee, “A PC-based open robot control system: PC-ORC,” Robotics and Computer Integrated Manufacturing, Vol.17, pp. 355-365, 2001.
-  N. Asakawa, K. Toda, and Y. Takeuchi, “Automation of chamfering by an industrial robot; for the case of hole on free-curved surface,” Robotics and Computer Integrated Manufacturing, Vol.18, pp. 379-385, 2002.
-  H. Narita, K. Shirase, H. Wakamatsu, A. Tsumaya, and E. Arai, “Real-time cutting simulation system of a milling operation for autonomous and intelligent machine tools,” Int. J. Prod. Res., Vol.40, pp. 3791-3805, 2002.
-  G. Biggs and B. MacDonald, “A survey of robot programming systems,” Proc. of the Australasian Conf. on Robotics and Automation 2003, pp. 1-10, 2003.
-  M. Milfelner and F. Cus, “Simulation of cutting forces in ball-end milling,” Robotics and Computer Integrated Manufacturing, Vol.19, pp. 99-106, 2003.
-  M. Monreal and A. Rodriguez, “Influence of tool path strategy on the cycle time of high-speed milling,” Computer Aided Design, Vol.35, pp. 395-401, 2003.
-  H. Hibino, T. Inukai, and Y. Fukuda, “Efficient Manufacturing System Implementation based on Combination between Real and Virtual Factory,” I. J. Production Research, Vol.44, pp. 3897-3915, 2006.
-  K. Hong, K Choi, J. Kim, and S. Lee, “A PC-based Open Robot Control System,” Robotics and Computer-Integrated Manufacturing, Vol.17, pp. 355-365, 2001.
-  T. Inukai and S. Sakakibara, “Impact of Open FA System on Automobile Manufacturing,” J. Automotive Engineers of Japan, Vol.58, pp. 106-111, 2004. (in Japanese)
-  ORiN, http://www.orin.jp/, 2010. [accessed on Jun. 18, 2013]
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