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: 05 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.}, issn = {0039-2480}, pages = {499-508}, doi = {}, url = {https://www.sv-jme.eu/sl/article/optimisation-of-the-flow-of-orders-in-a-flexible-manufacturing-system/} }
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
%A Pahole, Ivo %A Ficko, Mirko %A Drstvenšek, Igor %A Balič, Jože %D 2003 %T Optimisation of the Flow of Orders in a Flexible Manufacturing System %B 2003 %9 flexible manufacturing systems; order flow; optimization; genetic algorithms; %! Optimisation of the Flow of Orders in a Flexible Manufacturing System %K flexible manufacturing systems; order flow; optimization; genetic algorithms; %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 %R %& 499 %P 10 %J Strojniški vestnik - Journal of Mechanical Engineering %V 49 %N 10 %@ 0039-2480 %8 2017-07-07 %7 2017-07-07
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. 05 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/
@article{{}{.}, 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}, year = {2003}, doi = {}, url = {https://www.sv-jme.eu/sl/article/optimisation-of-the-flow-of-orders-in-a-flexible-manufacturing-system/} }
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)
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.