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IJAT Vol.11 No.1 pp. 56-66
doi: 10.20965/ijat.2017.p0056
(2017)

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Dynamic Optimization Production System Based on Simulation Integrated Manufacturing and its Application to Mass Production

Masahiro Nakamura*1,†, Sei Makihara*2, Jun-ichi Sugiura*3, and Yosuke Kamioka*4

*1LEXER RESEARCH Inc.
2-3-3-6F Higashikanda, Chiyoda-ku, Tokyo 101-0031, Japan

†Corresponding author

*2Panasonic Corporation, Osaka, Japan

*3Yokogawa Manufacturing Corporation, Tokyo, Japan

*4CKD Corporation, Aichi, Japan

Received:
July 19, 2016
Accepted:
November 11, 2016
Published:
January 5, 2017
Creative Commons License
Keywords:
cyber physical system, manufacturing IoT, production simulation, dynamic optimization, parallel computing
Abstract
A system concept that can guide the management method of a production system is important in the deployment of the Internet of Things (IoT) concept in manufacturing. This paper describes the concept of SIM (Simulation Integrated Manufacturing), the objective of which is to dynamically optimize production planning. The concept is based on the integration of engineering and supply chains in the preparatory stage of production, centering on the production model. Also described is the effect demonstrated in a verification experiment, in which this concept was applied to an actual manufacturing operation.
Cite this article as:
M. Nakamura, S. Makihara, J. Sugiura, and Y. Kamioka, “Dynamic Optimization Production System Based on Simulation Integrated Manufacturing and its Application to Mass Production,” Int. J. Automation Technol., Vol.11 No.1, pp. 56-66, 2017.
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Last updated on Apr. 18, 2024