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author:

Cai Zhiling (Cai Zhiling.) [1] | Ye Shaozhen (Ye Shaozhen.) [2] (Scholars:叶少珍)

Indexed by:

CPCI-S

Abstract:

This paper combines the characteristics of windshield glass production process and compares various intelligent algorithms. It proposes to start from the windshield parallel multi-machine manufacturing process and establish the simulation unit of windshield manufacturing process. The method considers the windshield manufacturing process. The sequence of the process and the factors affecting the tempo of each process are transformed into genomic information. This paper establishes a simulation model of the two -chrome parallel multi -machine production line to optimize the scheduling of the windshield. This method increases the production efficiency of the windshield manufacturing process while achieving line balance with minimal processing time. Based on the Plant Simulation simulation platform, the effectiveness of the proposed method is verified by optimizing the production line of parallel multi-machine.

Keyword:

Genetic algorithm Parallel multi-machine Production line optimization

Community:

  • [ 1 ] [Ye Shaozhen]Fuzhou Univ, Sch Math & Comp Sci, Fuzhou, Peoples R China
  • [ 2 ] [Ye Shaozhen]Fuzhou Univ, Inst Intelligent Mfg Simulat, Fuzhou, Peoples R China

Reprint 's Address:

  • 叶少珍

    [Ye Shaozhen]Fuzhou Univ, Sch Math & Comp Sci, Fuzhou, Peoples R China

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Source :

2018 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, BIG DATA AND BLOCKCHAIN (ICCBB 2018)

Year: 2018

Page: 184-190

Language: English

Cited Count:

WoS CC Cited Count:

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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