Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB

Hsu Myat Tin Swe; Hla Myo Tun; Maung Maung Latt

doi:doi:10.11648/j.cse.20200401.11

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Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB

Hsu Myat Tin Swe, Hla Myo Tun, Maung Maung Latt

Published in Control Science and Engineering (Volume 4, Issue 1)

Received: 18 April 2020 Accepted: 8 May 2020 Published: 21 May 2020

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Abstract

The paper mainly focuses on the development the flexible manufacturing process with scheduling algorithm based on distributed fuzzy control system design using MATLAB. The research problem in this study is to find the scheduling algorithm for autonomous control system for modern industries based on flexible manufacturing process. The solution for the main research problems is to utilize the fuzzy logic controller design for scheduling algorithm based on distributed situation. The objective of this research could be fulfilled to observe the flexible manufacturing process for modern industries. In this paper, an Individual fuzzy logic controller is designed for the DFC control of the Manufacturing Process. With the use of Distributed Fuzzy Control in the manufacturing, the result is more benefit in scheduling policies, resource management and on-time delivery and processing of work. The Fuzzy Logic Controller for each machine is constructed first and the FMP is demonstrated by using a sequence control and processing of three machines equipped with the design fuzzy logic controller. The main advantage is automatic scheduling of the system (fully intelligent). The high Flexibility of controller and Good resource management confirm that the Less Human intervention in real world application. The results in this analyses confirm that the developed scheduling algorithm would be applied in real world applications because the performance of the control system was met the outcomes from the experimental studies.

Published in	Control Science and Engineering (Volume 4, Issue 1)
DOI	10.11648/j.cse.20200401.11
Page(s)	1-7
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Distributed Fuzzy Control (DFC), Flexible Manufacturing Process (FMP), Flexibility, Fuzzy Logic, Scheduling of Manufacturing System

References

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[2]	Anonymous, FMS and FMP. April 2008, http://www.wikipedia.com/History.html.
[3]	S. N. Sivanandam, S. Sumathi and S. N. Deepa, Introduction to Fuzzy Logic using MATLAB, 2007.
[4]	H. K. Shivanand, Flexible Manufacturing System, 2006.
[5]	Tsourveloudis, Fuzzy Surplus Based Distributed Control of Manufacturing System, 2006.
[6]	Steven. T. Karris, Introduction to Simulink® with Engineering Applications, 2006.
[7]	Dr. Fernando Gonzalez, Real-Time Control of Distributed Large Scale Flexible Manufacturing Systems, 2004.
[8]	Pramot Srinoi, A/Prof. Ebrahim Shayan, Dr. Fatemeh Ghotb, School of Mathematical Sciences, Scheduling of Flexible Manufacturing Systems Using Fuzzy Logic, 2008.
[9]	Anonymous, King Saud University, Distributed Control Systems, 2002.
[10]	J. J. A. Bakker. “DFMS: Architecture and implementation of a distribiited control system for FMS”, 1999.
[11]	Paolo Dadone, Fuzzy Control of Flexible Manufacturing Systems, 1997.
[12]	Anthony Angsana, Kevin M. Passino Member IEEE, Distributed Fuzzy Control of Flexible Manufacturing System, 1994.
[13]	Zhou Binghat, Xi Lifeng & Cat Jianguo, Knowledge-based decision support system for tool management in flexible manufacturing system, Journal of Systems Engineering and Electronics, Vol. 15, No. 4, 2004, pp. 537-541.
[14]	TUNG-KUAN LIU, YEH-PENG CHEN, AND JYH-HORNG CHOU, Solving Distributed and Flexible Job-Shop Scheduling Problems for a Real-World Fastener Manufacturer, IEEE Access, VOLUME 2, 2014, Digital Object Identifier 10.1109/ACCESS.2015.2388486.
[15]	XIAOGANG ZHANG, YULONG LI, YAN RAN, AND GENBAO ZHANG, A Hybrid Multilevel FTA-FMEA Method for a Flexible Manufacturing Cell Based on Meta-Action and TOPSIS, IEEE Access, VOLUME 7, 2019, Digital Object Identifier 10.1109/ACCESS.2019.2934189.
[16]	GAIYUN LIU, LINGCHUN ZHANG, YUTING LIU, YUFENG CHEN, ZHIWU LI, AND NAIQI WU, Robust Deadlock Control for Automated Manufacturing Systems Based on the Max-Controllability of Siphons, IEEE Access, VOLUME 7, 2019, Digital Object Identifier 10.1109/ACCESS.2019.2924021.

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APA Style

Hsu Myat Tin Swe, Hla Myo Tun, Maung Maung Latt. (2020). Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB. Control Science and Engineering, 4(1), 1-7. https://doi.org/10.11648/j.cse.20200401.11

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ACS Style

Hsu Myat Tin Swe; Hla Myo Tun; Maung Maung Latt. Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB. Control Sci. Eng. 2020, 4(1), 1-7. doi: 10.11648/j.cse.20200401.11

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AMA Style

Hsu Myat Tin Swe, Hla Myo Tun, Maung Maung Latt. Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB. Control Sci Eng. 2020;4(1):1-7. doi: 10.11648/j.cse.20200401.11

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@article{10.11648/j.cse.20200401.11,
  author = {Hsu Myat Tin Swe and Hla Myo Tun and Maung Maung Latt},
  title = {Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB},
  journal = {Control Science and Engineering},
  volume = {4},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.cse.20200401.11},
  url = {https://doi.org/10.11648/j.cse.20200401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cse.20200401.11},
  abstract = {The paper mainly focuses on the development the flexible manufacturing process with scheduling algorithm based on distributed fuzzy control system design using MATLAB. The research problem in this study is to find the scheduling algorithm for autonomous control system for modern industries based on flexible manufacturing process. The solution for the main research problems is to utilize the fuzzy logic controller design for scheduling algorithm based on distributed situation. The objective of this research could be fulfilled to observe the flexible manufacturing process for modern industries. In this paper, an Individual fuzzy logic controller is designed for the DFC control of the Manufacturing Process. With the use of Distributed Fuzzy Control in the manufacturing, the result is more benefit in scheduling policies, resource management and on-time delivery and processing of work. The Fuzzy Logic Controller for each machine is constructed first and the FMP is demonstrated by using a sequence control and processing of three machines equipped with the design fuzzy logic controller. The main advantage is automatic scheduling of the system (fully intelligent). The high Flexibility of controller and Good resource management confirm that the Less Human intervention in real world application. The results in this analyses confirm that the developed scheduling algorithm would be applied in real world applications because the performance of the control system was met the outcomes from the experimental studies.},
 year = {2020}
}

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TY  - JOUR
T1  - Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB
AU  - Hsu Myat Tin Swe
AU  - Hla Myo Tun
AU  - Maung Maung Latt
Y1  - 2020/05/21
PY  - 2020
N1  - https://doi.org/10.11648/j.cse.20200401.11
DO  - 10.11648/j.cse.20200401.11
T2  - Control Science and Engineering
JF  - Control Science and Engineering
JO  - Control Science and Engineering
SP  - 1
EP  - 7
PB  - Science Publishing Group
SN  - 2994-7421
UR  - https://doi.org/10.11648/j.cse.20200401.11
AB  - The paper mainly focuses on the development the flexible manufacturing process with scheduling algorithm based on distributed fuzzy control system design using MATLAB. The research problem in this study is to find the scheduling algorithm for autonomous control system for modern industries based on flexible manufacturing process. The solution for the main research problems is to utilize the fuzzy logic controller design for scheduling algorithm based on distributed situation. The objective of this research could be fulfilled to observe the flexible manufacturing process for modern industries. In this paper, an Individual fuzzy logic controller is designed for the DFC control of the Manufacturing Process. With the use of Distributed Fuzzy Control in the manufacturing, the result is more benefit in scheduling policies, resource management and on-time delivery and processing of work. The Fuzzy Logic Controller for each machine is constructed first and the FMP is demonstrated by using a sequence control and processing of three machines equipped with the design fuzzy logic controller. The main advantage is automatic scheduling of the system (fully intelligent). The high Flexibility of controller and Good resource management confirm that the Less Human intervention in real world application. The results in this analyses confirm that the developed scheduling algorithm would be applied in real world applications because the performance of the control system was met the outcomes from the experimental studies.
VL  - 4
IS  - 1
ER  -

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Author Information

Hsu Myat Tin Swe

Department of Electronic Engineering, Yangon Technological University, Yangon, Myanmar
Hla Myo Tun

Department of Electronic Engineering, Yangon Technological University, Yangon, Myanmar
Maung Maung Latt

Department of Electronic Engineering, Yangon Technological University, Yangon, Myanmar

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Plain Text BibTeX RIS

APA Style

Hsu Myat Tin Swe, Hla Myo Tun, Maung Maung Latt. (2020). Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB. Control Science and Engineering, 4(1), 1-7. https://doi.org/10.11648/j.cse.20200401.11

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ACS Style

Hsu Myat Tin Swe; Hla Myo Tun; Maung Maung Latt. Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB. Control Sci. Eng. 2020, 4(1), 1-7. doi: 10.11648/j.cse.20200401.11

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AMA Style

Hsu Myat Tin Swe, Hla Myo Tun, Maung Maung Latt. Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB. Control Sci Eng. 2020;4(1):1-7. doi: 10.11648/j.cse.20200401.11

Copy | Download

@article{10.11648/j.cse.20200401.11,
  author = {Hsu Myat Tin Swe and Hla Myo Tun and Maung Maung Latt},
  title = {Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB},
  journal = {Control Science and Engineering},
  volume = {4},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.cse.20200401.11},
  url = {https://doi.org/10.11648/j.cse.20200401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cse.20200401.11},
  abstract = {The paper mainly focuses on the development the flexible manufacturing process with scheduling algorithm based on distributed fuzzy control system design using MATLAB. The research problem in this study is to find the scheduling algorithm for autonomous control system for modern industries based on flexible manufacturing process. The solution for the main research problems is to utilize the fuzzy logic controller design for scheduling algorithm based on distributed situation. The objective of this research could be fulfilled to observe the flexible manufacturing process for modern industries. In this paper, an Individual fuzzy logic controller is designed for the DFC control of the Manufacturing Process. With the use of Distributed Fuzzy Control in the manufacturing, the result is more benefit in scheduling policies, resource management and on-time delivery and processing of work. The Fuzzy Logic Controller for each machine is constructed first and the FMP is demonstrated by using a sequence control and processing of three machines equipped with the design fuzzy logic controller. The main advantage is automatic scheduling of the system (fully intelligent). The high Flexibility of controller and Good resource management confirm that the Less Human intervention in real world application. The results in this analyses confirm that the developed scheduling algorithm would be applied in real world applications because the performance of the control system was met the outcomes from the experimental studies.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Flexible Manufacturing Process with Scheduling Algorithm Based on Distributed Fuzzy Control System Design Using MATLAB
AU  - Hsu Myat Tin Swe
AU  - Hla Myo Tun
AU  - Maung Maung Latt
Y1  - 2020/05/21
PY  - 2020
N1  - https://doi.org/10.11648/j.cse.20200401.11
DO  - 10.11648/j.cse.20200401.11
T2  - Control Science and Engineering
JF  - Control Science and Engineering
JO  - Control Science and Engineering
SP  - 1
EP  - 7
PB  - Science Publishing Group
SN  - 2994-7421
UR  - https://doi.org/10.11648/j.cse.20200401.11
AB  - The paper mainly focuses on the development the flexible manufacturing process with scheduling algorithm based on distributed fuzzy control system design using MATLAB. The research problem in this study is to find the scheduling algorithm for autonomous control system for modern industries based on flexible manufacturing process. The solution for the main research problems is to utilize the fuzzy logic controller design for scheduling algorithm based on distributed situation. The objective of this research could be fulfilled to observe the flexible manufacturing process for modern industries. In this paper, an Individual fuzzy logic controller is designed for the DFC control of the Manufacturing Process. With the use of Distributed Fuzzy Control in the manufacturing, the result is more benefit in scheduling policies, resource management and on-time delivery and processing of work. The Fuzzy Logic Controller for each machine is constructed first and the FMP is demonstrated by using a sequence control and processing of three machines equipped with the design fuzzy logic controller. The main advantage is automatic scheduling of the system (fully intelligent). The high Flexibility of controller and Good resource management confirm that the Less Human intervention in real world application. The results in this analyses confirm that the developed scheduling algorithm would be applied in real world applications because the performance of the control system was met the outcomes from the experimental studies.
VL  - 4
IS  - 1
ER  -

Copy | Download