Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 2
399-403

Research on barrel-greedy optimization algorithm for equipment investment with cost constraints

Peng Ke1
Zhou Jiahui1
Dai Liqi1
Chen Zhisheng2
Song Yuqing1
Yang Chenhao1
1. College of Engineering & Design, Hunan Normal University, Changsha 410081, China
2. School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410004, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0301

Abstract

Aiming at the problem of production imbalance caused by experience-based equipment purchase strategy in hybrid flow shop, this paper proposed a barrel-greedy algorithm. Under the constraint of fixed equipment cost, this algorithm took the fastest production cycle of the production line as the goal, and used the short board idea of barrel effect to identify the bottleneck process, and on this basis, it introduced the greedy idea for the inconsistent characteristics of the bottleneck processes of multiple products in the production line. Then, comparing the solution results of different algorithms based on the actual production line case, the barrel-greedy algorithm has certain advantages in solving quality and efficiency compared with exhaustive search algorithm and improved genetic algorithm. Finally, taking the actual production line as the background, this paper used Plant Simulation to compare the production line before and after transformation, and verifies the feasibility and effectiveness of the algorithm in practical production.

Foundation Support

湖南省自然科学基金资助项目(2021JJ30732)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0301
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Algorithm Research & Explore
Pages: 399-403
Serial Number: 1001-3695(2023)02-014-0399-05

Publish History

[2022-08-29] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

彭可, 周稼辉, 代礼奇, 等. 具有成本约束的设备投资木桶—贪婪优化算法研究 [J]. 计算机应用研究, 2023, 40 (2): 399-403. (Peng Ke, Zhou Jiahui, Dai Liqi, et al. Research on barrel-greedy optimization algorithm for equipment investment with cost constraints [J]. Application Research of Computers, 2023, 40 (2): 399-403. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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