There has been an increasing trend for manufacturers to shift toward sustainable manufacturing strategies in response to an ever-growing pressure from fluctuating energy price and environmental crisis. Reducing energy consumption is considered as an important step to achieve the sustainability of a production system. This paper proposes an event-based control methodology to improve the production energy efficiency through strategically switching appropriate stations to energy saving mode. Based on an event-based analysis of production dynamics, an analytical approach is developed to quantitatively predict the system level production loss resulted from an energy saving control event (ESCE). A genetic-based control algorithm is proposed to balance the trade-off between the gain from energy saving and the expense of throughput loss. The energy improvement analysis results in a fundamental understanding of production energy dynamics and a significant decrease of energy cost for a manufacturing facility. Numerical case studies are performed to validate the effectiveness of the proposed method. It is found that the control method can effectively reduce energy cost, while only slightly impacting production.
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February 2019
Research-Article
Event-Based Production Control for Energy Efficiency Improvement in Sustainable Multistage Manufacturing Systems
Yang Li,
Yang Li
Department of Industrial Engineering,
School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China;
School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China;
Performance Analysis Center of Production
and Operations Systems (PacPos),
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China
e-mail: yangmli@outlook.com
and Operations Systems (PacPos),
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China
e-mail: yangmli@outlook.com
Search for other works by this author on:
Jun-Qiang Wang,
Jun-Qiang Wang
Department of Industrial Engineering,
School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China;
School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China;
Performance Analysis Center of Production
and Operations Systems (PacPos),
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China
e-mail: wangjq@nwpu.edu.cn
and Operations Systems (PacPos),
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China
e-mail: wangjq@nwpu.edu.cn
Search for other works by this author on:
Qing Chang
Qing Chang
Department of Mechanical and
Aerospace Engineering,
The University of Virginia,
Charlottesville, VA 22904
e-mail: qing.chang@stonybrook.edu
Aerospace Engineering,
The University of Virginia,
Charlottesville, VA 22904
e-mail: qing.chang@stonybrook.edu
Search for other works by this author on:
Yang Li
Department of Industrial Engineering,
School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China;
School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China;
Performance Analysis Center of Production
and Operations Systems (PacPos),
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China
e-mail: yangmli@outlook.com
and Operations Systems (PacPos),
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China
e-mail: yangmli@outlook.com
Jun-Qiang Wang
Department of Industrial Engineering,
School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China;
School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China;
Performance Analysis Center of Production
and Operations Systems (PacPos),
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China
e-mail: wangjq@nwpu.edu.cn
and Operations Systems (PacPos),
Northwestern Polytechnical University,
Xi'an 710072, Shaanxi, China
e-mail: wangjq@nwpu.edu.cn
Qing Chang
Department of Mechanical and
Aerospace Engineering,
The University of Virginia,
Charlottesville, VA 22904
e-mail: qing.chang@stonybrook.edu
Aerospace Engineering,
The University of Virginia,
Charlottesville, VA 22904
e-mail: qing.chang@stonybrook.edu
Manuscript received April 18, 2018; final manuscript received November 1, 2018; published online December 24, 2018. Assoc. Editor: Sara Behdad.
J. Manuf. Sci. Eng. Feb 2019, 141(2): 021006 (8 pages)
Published Online: December 24, 2018
Article history
Received:
April 18, 2018
Revised:
November 1, 2018
Citation
Li, Y., Wang, J., and Chang, Q. (December 24, 2018). "Event-Based Production Control for Energy Efficiency Improvement in Sustainable Multistage Manufacturing Systems." ASME. J. Manuf. Sci. Eng. February 2019; 141(2): 021006. https://doi.org/10.1115/1.4041926
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