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Izvorni znanstveni članak
https://doi.org/10.2498/cit.1002172
Decision Support Technique for Supply Chain Management
Mohamed Elhadi Bounif
; Computer Science Department, University of M’sila, Algeria
Mustapha Bourahla
orcid.org/0000-0002-0691-1417
; Computer Science Department, University of M’sila, Algeria
| Puni tekst: engleski, PDF (698 KB) | str. 255-268 | citiraj | |
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APA 6th Edition Bounif, M.E. i Bourahla, M. (2013). Decision Support Technique for Supply Chain Management. Journal of computing and information technology, 21 (4), 255-268. https://doi.org/10.2498/cit.1002172 MLA 8th Edition Bounif, Mohamed Elhadi i Mustapha Bourahla. "Decision Support Technique for Supply Chain Management." Journal of computing and information technology, vol. 21, br. 4, 2013, str. 255-268. https://doi.org/10.2498/cit.1002172. Citirano 18.09.2020. Chicago 17th Edition Bounif, Mohamed Elhadi i Mustapha Bourahla. "Decision Support Technique for Supply Chain Management." Journal of computing and information technology 21, br. 4 (2013): 255-268. https://doi.org/10.2498/cit.1002172 Harvard Bounif, M.E., i Bourahla, M. (2013). 'Decision Support Technique for Supply Chain Management', Journal of computing and information technology, 21(4), str. 255-268. https://doi.org/10.2498/cit.1002172 Vancouver Bounif ME, Bourahla M. Decision Support Technique for Supply Chain Management. Journal of computing and information technology [Internet]. 2013 [pristupljeno 18.09.2020.];21(4):255-268. https://doi.org/10.2498/cit.1002172 IEEE M.E. Bounif i M. Bourahla, "Decision Support Technique for Supply Chain Management", Journal of computing and information technology, vol.21, br. 4, str. 255-268, 2013. [Online]. https://doi.org/10.2498/cit.1002172 |
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Sažetak
In this paper, we propose a method for supporting decision makers in the domain of supply chain management. Our objective is the global optimization instead of optimizing independent subsystems of the supply chain. The method architecture is based on combination of the simulation and optimization techniques which includes a multi-objectives optimization module and a simulation module. The optimization module is based on genetic algorithms and the simulation module uses effective alternative designs proposed by strategic and tactic decisions to find global optimal solution using the optimal scheduling solution proposed by the genetic algorithm for operational decisions. The experimental results show the efficiency and the feasibility of the proposed approach.
Ključne riječi
supply chain management; decision; decision support technique; simulation; optimization
Hrčak ID: 114777
URI
https://hrcak.srce.hr/114777
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