• May 15, 2019 News!Vol.7, No.5- Vol.8, No.4 has been indexed by EI (Inspec).   [Click]
  • Aug 01, 2018 News! [CFP] 2020 the annual meeting of IJMO Editorial Board, ECDMO 2020, will be held in Athens, Greece, February 15-17, 2020.   [Click]
  • Sep 30, 2019 News!Vol 9, No 6 has been published with online version. 12 original aritcles from 6 countries are published in this issue.    [Click]
General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2018 Vol.8(3): 166-171 ISSN: 2010-3697
DOI: 10.7763/IJMO.2018.V8.643

The Optimal Crane Scheduling for Chemical Polishing Process Based on Expert System

Chi-Yen Shen, Shuming T. Wang, Kaiqi Zhou, Hanlin Shen, and Rey-Chue Hwang
Abstract—It is well known that the manufacturing process of many industrial products requires the crane lifting and delivering. The use of crane can not only reduce the cost of manual handling, but also increase the production’s capacity. Thus, how to design an accurate, efficient and optimal crane scheduling becomes a very important issue in the industrial manufacturing process, especially to the electronic industry. This paper presents an optimal crane scheduling and control for the multiple manufacturing processes of electronic surface treatment based on the entire plant design. The expert system with “time-axis” method is used to find the minimum number of cranes needed for the entire plant design. The surface treatment of electronic industry is used as the example for the whole design process. The result shows that the optimal crane scheduling developed can not only have the optimal cranes’ control, but also fit the requirement of minimum cycling time of each manufacturing process.

Index Terms—Crane, optimal scheduling and control, expert system, time-axis.

Chi-Yen Shen, Shuming T. Wang, Rey-Chue Hwang are with the Electrical Engineering Department, I-Shou University, Kaohsiung City, Taiwan (e-mail: cyshen@isu.edu.tw,smwang@isu.edu.tw, rchwang@isu.edu.tw).
Kaiqi Zhou is pursuing his master degree in Software Engineering, University of Science and Technology of China (USTC), China (E-mail: zhkq@mail.ustc.edu.cn).
Hanlin Shen was with the School of Electrical Engineering and Automation, HeFei University of Technology, HeFei City, China (e-mail: m15167660222@163.com)


Cite: Chi-Yen Shen, Shuming T. Wang, Kaiqi Zhou, Hanlin Shen, and Rey-Chue Hwang, "he Optimal Crane Scheduling for Chemical Polishing Process Based on Expert System," International Journal of Modeling and Optimization vol. 8, no. 3, pp. 166-171, 2018.

Copyright © 2008-2019. International Journal of Modeling and Optimization. All rights reserved.
E-mail: ijmo@iacsitp.com