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author:

Zhou, Zihao (Zhou, Zihao.) [1] | He, Zeyu (He, Zeyu.) [2] | Ye, Chong (Ye, Chong.) [3] (Scholars:叶翀)

Indexed by:

EI Scopus

Abstract:

In view of current technical level of China's manufacturing industry which needs to be improved in a long run, reasonable job shop scheduling (JSS) is an important measure to improve production efficiency at present. To this end, this paper summarizes the classification and existing problems of JSS problems. The results show that based on current status of multi-process pipeline batch-mixed production, new requirements have been put forward for the JSS study. Besides, a JSS model of multi-process pipeline was established, and the case analysis shows that the optimization effect of this model is superior to the traditional model; the JJS model of batch-mixed production was established, and the batch and non-batch schemes were discussed in the case analysis. Finally, it’s found that the batch-based scheduling can greatly improve production efficiency. This study can provide some reference and suggestions for the production and practice of manufacturing enterprises. © 2019 Editura Politechnica. All rights reserved.

Keyword:

Efficiency Job shop scheduling Manufacture Optimization Pipelines Scheduling

Community:

  • [ 1 ] [Zhou, Zihao]School of Economics and Management, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [He, Zeyu]Ocean school, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Ye, Chong]School of Economics and Management, Fuzhou University, Fuzhou; 350108, China

Reprint 's Address:

  • 叶翀

    [ye, chong]school of economics and management, fuzhou university, fuzhou; 350108, china

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Source :

Academic Journal of Manufacturing Engineering

ISSN: 1583-7904

Year: 2019

Issue: 2

Volume: 17

Page: 60-65

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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