Optimisation of the Flow of Orders in a Flexible Manufacturing System

1900 Ogledov
1113 Prenosov
Izvoz citacije: ABNT
PAHOLE, Ivo ;FICKO, Mirko ;DRSTVENŠEK, Igor ;BALIČ, Jože .
Optimisation of the Flow of Orders in a Flexible Manufacturing System. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 49, n.10, p. 499-508, july 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/optimisation-of-the-flow-of-orders-in-a-flexible-manufacturing-system/>. Date accessed: 04 dec. 2024. 
doi:http://dx.doi.org/.
Pahole, I., Ficko, M., Drstvenšek, I., & Balič, J.
(2003).
Optimisation of the Flow of Orders in a Flexible Manufacturing System.
Strojniški vestnik - Journal of Mechanical Engineering, 49(10), 499-508.
doi:http://dx.doi.org/
@article{.,
	author = {Ivo  Pahole and Mirko  Ficko and Igor  Drstvenšek and Jože  Balič},
	title = {Optimisation of the Flow of Orders in a Flexible Manufacturing System},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {49},
	number = {10},
	year = {2003},
	keywords = {flexible manufacturing systems; order flow; optimization; genetic algorithms; },
	abstract = {In this paper we propose a method of searching for the optimum order flow through a flexible manufacturing system, with respect to transport times, preparation/completion times, manufacturing times and relevant costs. The paper defines two fitness functions describing the problem of the optimisation of times and costs of the execution of order. Then, using the genetic-algorithm method, a flow is found, such that the values of the fitness functions are as small as possible.},
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Pahole, I.,Ficko, M.,Drstvenšek, I.,Balič, J.
2003 July 49. Optimisation of the Flow of Orders in a Flexible Manufacturing System. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 49:10
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%A Ficko, Mirko 
%A Drstvenšek, Igor 
%A Balič, Jože 
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%X In this paper we propose a method of searching for the optimum order flow through a flexible manufacturing system, with respect to transport times, preparation/completion times, manufacturing times and relevant costs. The paper defines two fitness functions describing the problem of the optimisation of times and costs of the execution of order. Then, using the genetic-algorithm method, a flow is found, such that the values of the fitness functions are as small as possible.
%U https://www.sv-jme.eu/sl/article/optimisation-of-the-flow-of-orders-in-a-flexible-manufacturing-system/
%0 Journal Article
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Pahole, Ivo, Mirko  Ficko, Igor  Drstvenšek, & Jože  Balič.
"Optimisation of the Flow of Orders in a Flexible Manufacturing System." Strojniški vestnik - Journal of Mechanical Engineering [Online], 49.10 (2003): 499-508. Web.  04 Dec. 2024
TY  - JOUR
AU  - Pahole, Ivo 
AU  - Ficko, Mirko 
AU  - Drstvenšek, Igor 
AU  - Balič, Jože 
PY  - 2003
TI  - Optimisation of the Flow of Orders in a Flexible Manufacturing System
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - flexible manufacturing systems; order flow; optimization; genetic algorithms; 
N2  - In this paper we propose a method of searching for the optimum order flow through a flexible manufacturing system, with respect to transport times, preparation/completion times, manufacturing times and relevant costs. The paper defines two fitness functions describing the problem of the optimisation of times and costs of the execution of order. Then, using the genetic-algorithm method, a flow is found, such that the values of the fitness functions are as small as possible.
UR  - https://www.sv-jme.eu/sl/article/optimisation-of-the-flow-of-orders-in-a-flexible-manufacturing-system/
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	author = {Pahole, I., Ficko, M., Drstvenšek, I., Balič, J.},
	title = {Optimisation of the Flow of Orders in a Flexible Manufacturing System},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {49},
	number = {10},
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TY  - JOUR
AU  - Pahole, Ivo 
AU  - Ficko, Mirko 
AU  - Drstvenšek, Igor 
AU  - Balič, Jože 
PY  - 2017/07/07
TI  - Optimisation of the Flow of Orders in a Flexible Manufacturing System
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 49, No 10 (2003): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - flexible manufacturing systems, order flow, optimization, genetic algorithms, 
N2  - In this paper we propose a method of searching for the optimum order flow through a flexible manufacturing system, with respect to transport times, preparation/completion times, manufacturing times and relevant costs. The paper defines two fitness functions describing the problem of the optimisation of times and costs of the execution of order. Then, using the genetic-algorithm method, a flow is found, such that the values of the fitness functions are as small as possible.
UR  - https://www.sv-jme.eu/sl/article/optimisation-of-the-flow-of-orders-in-a-flexible-manufacturing-system/
Pahole, Ivo, Ficko, Mirko, Drstvenšek, Igor, AND Balič, Jože.
"Optimisation of the Flow of Orders in a Flexible Manufacturing System" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 49 Number 10 (07 July 2017)

Avtorji

Inštitucije

  • University of Maribor, Faculty of Mechanical Engineering, Slovenia
  • University of Maribor, Faculty of Mechanical Engineering, Slovenia
  • University of Maribor, Faculty of Mechanical Engineering, Slovenia
  • University of Maribor, Faculty of Mechanical Engineering, Slovenia

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 49(2003)10, 499-508
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.

In this paper we propose a method of searching for the optimum order flow through a flexible manufacturing system, with respect to transport times, preparation/completion times, manufacturing times and relevant costs. The paper defines two fitness functions describing the problem of the optimisation of times and costs of the execution of order. Then, using the genetic-algorithm method, a flow is found, such that the values of the fitness functions are as small as possible.

flexible manufacturing systems; order flow; optimization; genetic algorithms;