Firefly Algorithm for Supply Chain Optimization
- Authors: Elkhechafi M.1, Benmamoun Z.2, Hachimi H.2, Amine A.2, Elkettani Y.1
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Affiliations:
- Department of Mathematics
- National School of Applied Ssciences
- Issue: Vol 39, No 3 (2018)
- Pages: 355-367
- Section: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/201810
- DOI: https://doi.org/10.1134/S1995080218030125
- ID: 201810
Cite item
Abstract
The firefly algorithm is one of the best latest bio-inspired algorithms, which proved its performance in solving continuous and discrete optimization problems. This paper presents a more detailed comparison study using a set of test functions. The main goal is the application of Firefly algorithm (FA) to solve Lot size optimization in supply chain management which is the most complex part of stock management process. A complexity that comes from the conflict between the minimization of the costs and the maximization of the level of service. For these reason, the traditional methods of lot size control have to deal with the explosion of new needs related to supply chain evolution. The optimal solutions obtained by FA are far better than the best solutions obtained by deterministic methods analyzed in the literature.
Keywords
About the authors
Mariam Elkhechafi
Department of Mathematics
Email: mariam.Elkhechafi@gmail.com
Morocco, Kenitra
Zoubida Benmamoun
National School of Applied Ssciences
Email: mariam.Elkhechafi@gmail.com
Morocco, Kenitra
Hanaa Hachimi
National School of Applied Ssciences
Email: mariam.Elkhechafi@gmail.com
Morocco, Kenitra
Aouatif Amine
National School of Applied Ssciences
Email: mariam.Elkhechafi@gmail.com
Morocco, Kenitra
Youssfi Elkettani
Department of Mathematics
Author for correspondence.
Email: mariam.Elkhechafi@gmail.com
Morocco, Kenitra