IJAT Vol.6 No.3 pp. 279-288
doi: 10.20965/ijat.2012.p0279


Evaluation System for Energy Consumption and Productivity in Manufacturing System Simulation

Hironori Hibino, Toru Sakuma, and Makoto Yamaguchi

Japan Society for the Promotion of Machine Industry, 1-1-12 Hachiman-cho, Higashikurume, Tokyo 203-0042, Japan

January 29, 2012
April 6, 2012
May 5, 2012
manufacturing system simulation, energy consumption, productivity, facility state transition, UML
Industries need to design and improve their manufacturing systems while considering energy consumption and productivity concurrently. Manufacturing system simulation is often used to evaluate productivity when manufacturing systems are designed or improved. However, it is difficult to use simulation to evaluate energy consumption when designing and improving manufacturing systems. The purpose of our research is to establish a system for the concurrent evaluation of energy consumption and productivity in manufacturing system simulation. In this paper, first, requirements for a simulation to evaluate energy consumption and productivity are analyzed. Second, an evaluation system is proposed in consideration of the requirements. A Unified Modeling Language (UML) model that defines facility state transitions and relationships between the facility state and energy consumption is proposed. A manufacturing system simulation implemented in the proposed UML model is also proposed and developed. The proposed simulation is also implemented in a function to concurrently generate information on production throughput and energy consumption along a time progression. A system that provides a function to visually evaluate dynamic changes in the energy consumption per unit of production throughput along a time progression is also proposed and developed. Finally, a case study for semiconductor manufacturing systems is carried out to confirm the efficiency of our proposed evaluation system.
Cite this article as:
H. Hibino, T. Sakuma, and M. Yamaguchi, “Evaluation System for Energy Consumption and Productivity in Manufacturing System Simulation,” Int. J. Automation Technol., Vol.6 No.3, pp. 279-288, 2012.
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