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A Multi-Granularity Model for Energy Consumption Simulation and Control of Discrete Manufacturing System

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Jun-feng Wang

    (Huazhong University of Science and Technology)

  • Shi-qi Li

    (Huazhong University of Science and Technology)

  • Ji-hong Liu

    (Beihang University)

Abstract

The sustainable manufacturing makes the discrete industry considering the energy efficiency of the production process. Energy consumption becomes a very important indicator of energy efficient manufacturing. Discrete event simulation plays a vital role in evaluating the performance of the production plan. Energy related decisions making of the production plan by simulation need a formal energy consumption model to evaluate the manufacturing process. In this paper, a multi-granularity state chart model is proposed to simulate and control the energy consumption process of the production. A general energy consumption profile is defined and some key states in a working cycle of a CNC machine are clarified for energy audit and saving control purpose. A CNC machine with five energy consumption states is used as an example to illustrate the use of the model. Some performance indicators are collected from the simulation and compared to show the effective of the model.

Suggested Citation

  • Jun-feng Wang & Shi-qi Li & Ji-hong Liu, 2013. "A Multi-Granularity Model for Energy Consumption Simulation and Control of Discrete Manufacturing System," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 1055-1064, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_112
    DOI: 10.1007/978-3-642-38391-5_112
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    Cited by:

    1. Justyna Smagowicz & Cezary Szwed & Dawid Dąbal & Pavel Scholz, 2022. "A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation," Energies, MDPI, vol. 15(9), pages 1-27, April.

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