IJAT Vol.7 No.5 pp. 571-580
doi: 10.20965/ijat.2013.p0571


Optimal Scheduling of Automatic Guided Vehicle System via State Space Realization

Kenji Sawada*, Seiichi Shin*, Kenji Kumagai**,
and Hisato Yoneda**

*Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, 1-5-1 Choufugaoka, Chofu, Tokyo 182-8585, Japan

**Murata Machinery, Ltd., 9Fl., Yokohama Nishiguchi K Bldg., 2-8-19 Kitasaiwai, Nishi-ku, Yokohama-shi, Kanagawa, Japan

March 14, 2013
July 23, 2013
September 5, 2013
scheduling, congestion, model-predictive control, automatic guided vehicle

This paper considers dynamical system modeling of transportation systems in semiconductor manufacturing based on state space realization. Utilizing this method, we consider an optimal scheduling problem for an Automatic Guided Vehicle (AGV) transfer problem, which is to control AGV congestion at transport rail junctions. Our scheduling algorithm is based on model-predictive control in which the cycle of measurement, prediction and optimization is repeated. Its optimization is recast as an Integer Linear Programming (ILP) problem. Since little attention has been given to AGV scheduling based on model-predictive control, no method is, to our knowledge, known for determining appropriate cost functions. Here, we focus on throughput maximization and shortest transit time problems and show corresponding cost function settings. We also propose a visualization algorithm of AGV scheduling via state space realization, presenting numerical examples.

Cite this article as:
Kenji Sawada, Seiichi Shin, Kenji Kumagai, and
and Hisato Yoneda, “Optimal Scheduling of Automatic Guided Vehicle System via State Space Realization,” Int. J. Automation Technol., Vol.7, No.5, pp. 571-580, 2013.
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