Event-Driven Online Machine State Decision for Energy-Efficient Manufacturing System Based on Digital Twin Using Max-Plus Algebra

Junfeng Wang, Yaqin Huang, Qing Chang and Shiqi Li
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Junfeng Wang: Department of Industrial and Manufacturing System Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yaqin Huang: Department of Industrial and Manufacturing System Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Qing Chang: Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22904, USA
Shiqi Li: Department of Industrial and Manufacturing System Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Sustainability, 2019, vol. 11, issue 18, 1-17

Abstract: Energy-efficient manufacturing is an important aspect of sustainable development in current society. The rapid development of sensing technologies can collect real-time production data from shop floors, which provides more opportunities for making energy saving decisions about manufacturing systems. In this paper, a digital twin-based bidirectional operation framework is proposed to realize energy-efficient manufacturing systems. The data view, model view, and service view of a digital twin manufacturing system are formulated to describe the physical systems in virtual space, to perform simulation analysis, to make decisions, and to control the physical systems for various energy-saving purposes. For online energy-saving decisions about machines in serial manufacturing systems, an event-driven estimation method of an energy-saving window based on Max-plus Algebra is presented to put the target machine to sleep, considering real-time production data of a system segment. A practical, simplified automotive production line is used to illustrate the effectiveness of the proposed method by simulation experiments. Our method has no restriction on machine failure mode and predefined parameters for energy-saving decision of machines. The proposed approach has potential use in synchronous and asynchronous manufacturing systems.

Keywords: energy efficient operation; manufacturing system; stochastic event; digital twin; Max-plus Algebra; MATLAB-Simulink (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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