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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
849-854

Bottleneck driven due-date forecasting method based on integration of multi-level workload

Zhong Liuyan
He Huaxin
Zhu Lixia
Chen Yarong
College of Mechanical & Electronic Engineering, Wenzhou University, Wenzhou Zhejiang 325000, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0380

Abstract

Aiming at the problem of due-date forecasting for make-to-order production environment, this paper proposed a forecasting method namely BDDF, which integrated multi-level workloads such as order accept, order release and workshop scheduling. This method first estimated the workload of "drum-chain" and "non-drum chain" orders at different levels according to whether the order passed through the bottleneck, and then estimated the throughput time of each level by using Little's law to sum and predict the due-date of the order. This paper used the FlexSim modeling and simulation to compare the system performance of BDDF method and two classical due-date prediction methods under different sequencing rules in the pre-shop, dispatching rules in the workshop, and protective capacity for the bottleneck. The results show that the BDDF method is superior to the classical methods in terms of mean tardy rate, mean tardy and standard deviation of lateness. At the same time, pre-shop sequencing rules, scheduling rules and protective capacity all affect the performance of BDDF method. It is necessary to select appropriate value according to the actual situation to better control the order due-date and avoid order delay.

Foundation Support

国家自然科学基金资助项目(51705370,51905196)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0380
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: System Development & Application
Pages: 849-854
Serial Number: 1001-3695(2023)03-034-0849-06

Publish History

[2022-10-18] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

钟柳艳, 何华鑫, 朱立夏, 等. 以瓶颈为中心多层次负荷集成的订单交货期预测方法 [J]. 计算机应用研究, 2023, 40 (3): 849-854. (Zhong Liuyan, He Huaxin, Zhu Lixia, et al. Bottleneck driven due-date forecasting method based on integration of multi-level workload [J]. Application Research of Computers, 2023, 40 (3): 849-854. )

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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