Hybrid Self-Organization Based Facility Layout Planning

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286 Prenosov
Izvoz citacije: ABNT
POTOČNIK, Primož ;BERLEC, Tomaž ;SLUGA, Alojz ;GOVEKAR, Edvard .
Hybrid Self-Organization Based Facility Layout Planning. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 60, n.12, p. 789-796, june 2018. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/hybrid-self-organization-based-facility-layout-planning/>. Date accessed: 15 dec. 2019. 
doi:http://dx.doi.org/10.5545/sv-jme.2014.1748.
Potočnik, P., Berlec, T., Sluga, A., & Govekar, E.
(2014).
Hybrid Self-Organization Based Facility Layout Planning.
Strojniški vestnik - Journal of Mechanical Engineering, 60(12), 789-796.
doi:http://dx.doi.org/10.5545/sv-jme.2014.1748
@article{sv-jmesv-jme.2014.1748,
	author = {Primož  Potočnik and Tomaž  Berlec and Alojz  Sluga and Edvard  Govekar},
	title = {Hybrid Self-Organization Based Facility Layout Planning},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {60},
	number = {12},
	year = {2014},
	keywords = {facility layout problem; self-organization; neural networks; hybrid method},
	abstract = {A novel hybrid two-stage method of facility layout planning, based on self-organized clustering, is presented. In the first stage, a self-organizing map (SOM) is applied in order to organize the production process into production cells which encapsulate products with similar properties and similar machining requirements. In the second stage, the internal layout of each cell is optimized by an expert operator, taking into account various local restrictions, technological specifications, and methods of transportation. The method combines the advantages of both algorithmic and manual expert-based approaches to layout planning. The proposed method was applied in a real production company environment with promising results indicating a 42% reduction in intensity-length efficiency measure with respect to the current layout.},
	issn = {0039-2480},	pages = {789-796},	doi = {10.5545/sv-jme.2014.1748},
	url = {https://www.sv-jme.eu/sl/article/hybrid-self-organization-based-facility-layout-planning/}
}
Potočnik, P.,Berlec, T.,Sluga, A.,Govekar, E.
2014 June 60. Hybrid Self-Organization Based Facility Layout Planning. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 60:12
%A Potočnik, Primož 
%A Berlec, Tomaž 
%A Sluga, Alojz 
%A Govekar, Edvard 
%D 2014
%T Hybrid Self-Organization Based Facility Layout Planning
%B 2014
%9 facility layout problem; self-organization; neural networks; hybrid method
%! Hybrid Self-Organization Based Facility Layout Planning
%K facility layout problem; self-organization; neural networks; hybrid method
%X A novel hybrid two-stage method of facility layout planning, based on self-organized clustering, is presented. In the first stage, a self-organizing map (SOM) is applied in order to organize the production process into production cells which encapsulate products with similar properties and similar machining requirements. In the second stage, the internal layout of each cell is optimized by an expert operator, taking into account various local restrictions, technological specifications, and methods of transportation. The method combines the advantages of both algorithmic and manual expert-based approaches to layout planning. The proposed method was applied in a real production company environment with promising results indicating a 42% reduction in intensity-length efficiency measure with respect to the current layout.
%U https://www.sv-jme.eu/sl/article/hybrid-self-organization-based-facility-layout-planning/
%0 Journal Article
%R 10.5545/sv-jme.2014.1748
%& 789
%P 8
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 60
%N 12
%@ 0039-2480
%8 2018-06-28
%7 2018-06-28
Potočnik, Primož, Tomaž  Berlec, Alojz  Sluga, & Edvard  Govekar.
"Hybrid Self-Organization Based Facility Layout Planning." Strojniški vestnik - Journal of Mechanical Engineering [Online], 60.12 (2014): 789-796. Web.  15 Dec. 2019
TY  - JOUR
AU  - Potočnik, Primož 
AU  - Berlec, Tomaž 
AU  - Sluga, Alojz 
AU  - Govekar, Edvard 
PY  - 2014
TI  - Hybrid Self-Organization Based Facility Layout Planning
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2014.1748
KW  - facility layout problem; self-organization; neural networks; hybrid method
N2  - A novel hybrid two-stage method of facility layout planning, based on self-organized clustering, is presented. In the first stage, a self-organizing map (SOM) is applied in order to organize the production process into production cells which encapsulate products with similar properties and similar machining requirements. In the second stage, the internal layout of each cell is optimized by an expert operator, taking into account various local restrictions, technological specifications, and methods of transportation. The method combines the advantages of both algorithmic and manual expert-based approaches to layout planning. The proposed method was applied in a real production company environment with promising results indicating a 42% reduction in intensity-length efficiency measure with respect to the current layout.
UR  - https://www.sv-jme.eu/sl/article/hybrid-self-organization-based-facility-layout-planning/
@article{{sv-jme}{sv-jme.2014.1748},
	author = {Potočnik, P., Berlec, T., Sluga, A., Govekar, E.},
	title = {Hybrid Self-Organization Based Facility Layout Planning},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {60},
	number = {12},
	year = {2014},
	doi = {10.5545/sv-jme.2014.1748},
	url = {https://www.sv-jme.eu/sl/article/hybrid-self-organization-based-facility-layout-planning/}
}
TY  - JOUR
AU  - Potočnik, Primož 
AU  - Berlec, Tomaž 
AU  - Sluga, Alojz 
AU  - Govekar, Edvard 
PY  - 2018/06/28
TI  - Hybrid Self-Organization Based Facility Layout Planning
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 60, No 12 (2014): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2014.1748
KW  - facility layout problem, self-organization, neural networks, hybrid method
N2  - A novel hybrid two-stage method of facility layout planning, based on self-organized clustering, is presented. In the first stage, a self-organizing map (SOM) is applied in order to organize the production process into production cells which encapsulate products with similar properties and similar machining requirements. In the second stage, the internal layout of each cell is optimized by an expert operator, taking into account various local restrictions, technological specifications, and methods of transportation. The method combines the advantages of both algorithmic and manual expert-based approaches to layout planning. The proposed method was applied in a real production company environment with promising results indicating a 42% reduction in intensity-length efficiency measure with respect to the current layout.
UR  - https://www.sv-jme.eu/sl/article/hybrid-self-organization-based-facility-layout-planning/
Potočnik, Primož, Berlec, Tomaž, Sluga, Alojz, AND Govekar, Edvard.
"Hybrid Self-Organization Based Facility Layout Planning" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 60 Number 12 (28 June 2018)

Avtorji

Inštitucije

  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia 1

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 60(2014)12, 789-796

https://doi.org/10.5545/sv-jme.2014.1748

A novel hybrid two-stage method of facility layout planning, based on self-organized clustering, is presented. In the first stage, a self-organizing map (SOM) is applied in order to organize the production process into production cells which encapsulate products with similar properties and similar machining requirements. In the second stage, the internal layout of each cell is optimized by an expert operator, taking into account various local restrictions, technological specifications, and methods of transportation. The method combines the advantages of both algorithmic and manual expert-based approaches to layout planning. The proposed method was applied in a real production company environment with promising results indicating a 42% reduction in intensity-length efficiency measure with respect to the current layout.

facility layout problem; self-organization; neural networks; hybrid method