Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm

Hamid Dadashi; Shiva Moslemi; Abolfazl Mirzazadeh

doi:doi:10.11648/j.ijimse.20160103.12

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Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm

Hamid Dadashi, Shiva Moslemi, Abolfazl Mirzazadeh

Published in International Journal of Industrial and Manufacturing Systems Engineering (Volume 1, Issue 3)

Received: 31 October 2016 Accepted: 11 November 2016 Published: 23 December 2016

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Abstract

This paper considers a tool switching problem (ToSP) in flexible manufacturing systems (FMSs). Indeed, a new version of the ToSP that may be faced in practice is proposed. In this paper, a tool life is considered for each tool and a new formulation of the ToSP is presented, however, because of the complexity of such an NP-hard problem, the exact method can’t be used to solve large-sized problems. Therefore, a well-known meta-heuristic method, genetic algorithm (GA), is proposed to solve the problem. Furthermore, the computational results obtained by the proposed GA and the B&B methods are compared by performing on several non-large dimension instances. Finally, it is shown that the GA results are promising.

Published in	International Journal of Industrial and Manufacturing Systems Engineering (Volume 1, Issue 3)
DOI	10.11648/j.ijimse.20160103.12
Page(s)	52-58
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), 2024. Published by Science Publishing Group

Keywords

Tool Switching, Flexible Manufacturing System, Total Part Tardiness, Tool Purchasing Cost, Genetic Algorithm

References

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APA Style

Hamid Dadashi, Shiva Moslemi, Abolfazl Mirzazadeh. (2016). Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm. International Journal of Industrial and Manufacturing Systems Engineering, 1(3), 52-58. https://doi.org/10.11648/j.ijimse.20160103.12

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ACS Style

Hamid Dadashi; Shiva Moslemi; Abolfazl Mirzazadeh. Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm. Int. J. Ind. Manuf. Syst. Eng. 2016, 1(3), 52-58. doi: 10.11648/j.ijimse.20160103.12

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AMA Style

Hamid Dadashi, Shiva Moslemi, Abolfazl Mirzazadeh. Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm. Int J Ind Manuf Syst Eng. 2016;1(3):52-58. doi: 10.11648/j.ijimse.20160103.12

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@article{10.11648/j.ijimse.20160103.12,
  author = {Hamid Dadashi and Shiva Moslemi and Abolfazl Mirzazadeh},
  title = {Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm},
  journal = {International Journal of Industrial and Manufacturing Systems Engineering},
  volume = {1},
  number = {3},
  pages = {52-58},
  doi = {10.11648/j.ijimse.20160103.12},
  url = {https://doi.org/10.11648/j.ijimse.20160103.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijimse.20160103.12},
  abstract = {This paper considers a tool switching problem (ToSP) in flexible manufacturing systems (FMSs). Indeed, a new version of the ToSP that may be faced in practice is proposed. In this paper, a tool life is considered for each tool and a new formulation of the ToSP is presented, however, because of the complexity of such an NP-hard problem, the exact method can’t be used to solve large-sized problems. Therefore, a well-known meta-heuristic method, genetic algorithm (GA), is proposed to solve the problem. Furthermore, the computational results obtained by the proposed GA and the B&B methods are compared by performing on several non-large dimension instances. Finally, it is shown that the GA results are promising.},
 year = {2016}
}

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TY  - JOUR
T1  - Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm
AU  - Hamid Dadashi
AU  - Shiva Moslemi
AU  - Abolfazl Mirzazadeh
Y1  - 2016/12/23
PY  - 2016
N1  - https://doi.org/10.11648/j.ijimse.20160103.12
DO  - 10.11648/j.ijimse.20160103.12
T2  - International Journal of Industrial and Manufacturing Systems Engineering
JF  - International Journal of Industrial and Manufacturing Systems Engineering
JO  - International Journal of Industrial and Manufacturing Systems Engineering
SP  - 52
EP  - 58
PB  - Science Publishing Group
SN  - 2575-3142
UR  - https://doi.org/10.11648/j.ijimse.20160103.12
AB  - This paper considers a tool switching problem (ToSP) in flexible manufacturing systems (FMSs). Indeed, a new version of the ToSP that may be faced in practice is proposed. In this paper, a tool life is considered for each tool and a new formulation of the ToSP is presented, however, because of the complexity of such an NP-hard problem, the exact method can’t be used to solve large-sized problems. Therefore, a well-known meta-heuristic method, genetic algorithm (GA), is proposed to solve the problem. Furthermore, the computational results obtained by the proposed GA and the B&B methods are compared by performing on several non-large dimension instances. Finally, it is shown that the GA results are promising.
VL  - 1
IS  - 3
ER  -

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Author Information

Hamid Dadashi

Department of Industrial Engineering, Kharazmi University, Tehran, Iran
Shiva Moslemi

Department of Industrial Engineering, Kharazmi University, Tehran, Iran
Abolfazl Mirzazadeh

Department of Industrial Engineering, Kharazmi University, Tehran, Iran

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Plain Text BibTeX RIS

APA Style

Hamid Dadashi, Shiva Moslemi, Abolfazl Mirzazadeh. (2016). Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm. International Journal of Industrial and Manufacturing Systems Engineering, 1(3), 52-58. https://doi.org/10.11648/j.ijimse.20160103.12

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ACS Style

Hamid Dadashi; Shiva Moslemi; Abolfazl Mirzazadeh. Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm. Int. J. Ind. Manuf. Syst. Eng. 2016, 1(3), 52-58. doi: 10.11648/j.ijimse.20160103.12

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AMA Style

Hamid Dadashi, Shiva Moslemi, Abolfazl Mirzazadeh. Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm. Int J Ind Manuf Syst Eng. 2016;1(3):52-58. doi: 10.11648/j.ijimse.20160103.12

Copy | Download

@article{10.11648/j.ijimse.20160103.12,
  author = {Hamid Dadashi and Shiva Moslemi and Abolfazl Mirzazadeh},
  title = {Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm},
  journal = {International Journal of Industrial and Manufacturing Systems Engineering},
  volume = {1},
  number = {3},
  pages = {52-58},
  doi = {10.11648/j.ijimse.20160103.12},
  url = {https://doi.org/10.11648/j.ijimse.20160103.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijimse.20160103.12},
  abstract = {This paper considers a tool switching problem (ToSP) in flexible manufacturing systems (FMSs). Indeed, a new version of the ToSP that may be faced in practice is proposed. In this paper, a tool life is considered for each tool and a new formulation of the ToSP is presented, however, because of the complexity of such an NP-hard problem, the exact method can’t be used to solve large-sized problems. Therefore, a well-known meta-heuristic method, genetic algorithm (GA), is proposed to solve the problem. Furthermore, the computational results obtained by the proposed GA and the B&B methods are compared by performing on several non-large dimension instances. Finally, it is shown that the GA results are promising.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Optimization of a New Tool Switching Problem in Flexible Manufacturing Systems with a Tool Life by a Genetic Algorithm
AU  - Hamid Dadashi
AU  - Shiva Moslemi
AU  - Abolfazl Mirzazadeh
Y1  - 2016/12/23
PY  - 2016
N1  - https://doi.org/10.11648/j.ijimse.20160103.12
DO  - 10.11648/j.ijimse.20160103.12
T2  - International Journal of Industrial and Manufacturing Systems Engineering
JF  - International Journal of Industrial and Manufacturing Systems Engineering
JO  - International Journal of Industrial and Manufacturing Systems Engineering
SP  - 52
EP  - 58
PB  - Science Publishing Group
SN  - 2575-3142
UR  - https://doi.org/10.11648/j.ijimse.20160103.12
AB  - This paper considers a tool switching problem (ToSP) in flexible manufacturing systems (FMSs). Indeed, a new version of the ToSP that may be faced in practice is proposed. In this paper, a tool life is considered for each tool and a new formulation of the ToSP is presented, however, because of the complexity of such an NP-hard problem, the exact method can’t be used to solve large-sized problems. Therefore, a well-known meta-heuristic method, genetic algorithm (GA), is proposed to solve the problem. Furthermore, the computational results obtained by the proposed GA and the B&B methods are compared by performing on several non-large dimension instances. Finally, it is shown that the GA results are promising.
VL  - 1
IS  - 3
ER  -

Copy | Download