期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 59, 期 23, 页码 7018-7036出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2020.1832276
关键词
Energy reduction; continuous improvement; divide-and-conquer algorithm; computational efficiency; production lines
资金
- NSFC [61603294]
This paper proposes a computationally efficient and globally convergent algorithm to solve the energy consumption optimisation problem in long Bernoulli serial lines, which is orders of magnitude more efficient than existing algorithms. Extensive numerical experiments show that the proposed algorithm can optimally solve the problem numerically and achieve optimal energy consumption.
Reducing energy consumption in the energy-intensive production systems is of great significance and attracts more and more attention. Although a lot of efforts have been devoted to formulate and solve the energy consumption optimisation problem in the Bernoulli serial lines, existing methods for solving the problem in long Bernoulli lines either cannot obtain the optimal solution or are time-consuming. For this purpose, this paper divides the problem in the long line into a set of problems in two-machine lines and proposes a computationally efficient and globally convergent algorithm to solve it. Extensive numerical experiments show that the proposed algorithm not only can optimally (in the numerical way) solve the energy consumption optimisation problem in long Bernoulli serial lines, but also is orders of magnitude more efficient than existing algorithms.
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