Cited 32Cites

[1] 陈勇（H index：17） ;王昊天;易文超;裴植;王成;吴光华;
[2] 苑明海（H index：15） ;李亚东;裴凤雀;张理志;顾文斌;
[3] 金晓航（H index：13） ;王宇;ZHANG Bin;
[4] 蔡跃坤（H index：5） ;王俊佳;朱智鹏;
[5] 蔡跃坤（H index：5） ;朱智鹏;谭冲;
[6] 蒋静静 .
[7] 谢子昂 .
[8] 周嘉圣 .
[9] 王康红 .
[10] 蔡跃坤 .

Computer Integrated Manufacturing Systems. 2020, (09) Core

export references
share
print

Flexible job shop dynamic scheduling based on industrial big dataChinese Full Text English Full Text (MT)

TANG Hongtao;FEI Yonghui;CHEN Qingfeng;ZHAN Yan;LU Jiansha;LI Jinqing;Key Laboratory of Special Equipment Manufacturing and Advanced Processing Technology, Ministry of Education ＆ Zhejiang Province, Zhejiang University of Technology;

Abstract: To improve the practical feasibility, computational efficiency and real-time response ability of flexible job shop dynamic scheduling, a method of mining dispatching rules from scheduling-related historical data with the characteristics of big industrial data was proposed. The data preprocessing of data collection, cleaning, integration and screening was completed by open source big data technology. Considering that the change of disturbance environment would change the influence of production a... More

Keywords：

flexible job shop; dynamic scheduling; dispatching rule mining; clustering; improved random forest algorithm; industrial big data;

DOI：
10.13196/j.cims.2020.09.019
Series：
(I) Electronic Technology ＆ Information Science; (C) Architecture/ Energy/ Traffic/ Electromechanics, etc
Subject：
Mechanics Industry; Computer Software and Application of Computer; Automation Technology
Classification Code：
TP311.13;TH165

Mobile Reading

Read on your phone instantly

Step 1
Scan QR Codes

"Mobile CNKI-CNKI Express" App

Step 2
Open“CNKI Express”

and click the scan icon in the upper left corner of the homepage.

Step 3
Scan QR Codes

Read this article on your phone.
Download
- PDF
- CAJ
Online Reading
- HTML Reading
- Original Reading
BETABETAEnglish HTML (MT)
AI Summary