DocumentCode
624912
Title
Artificial bee colony metaheuristic to optimize traceability in food industry
Author
Dhouib, Souhail ; Dhouib, Souhail ; Chabchoub, Habib
Author_Institution
Unity Res.: Logistics, Ind. & Quality Manage. (LOGIQ), Super. Inst. of Ind. Manage., Sfax, Tunisia
fYear
2013
fDate
29-31 May 2013
Firstpage
417
Lastpage
420
Abstract
In this paper, an Artificial Bee Colony (ABC) metaheuristic is adapted to minimize the manufacturing batch dispersion in order to optimize traceability in food industry: The ABC is personalized to support the manufacturing batch dispersion. By computer simulations, it is shown that the performance of the ABC is better than the previous metaheuristics.
Keywords
artificial intelligence; batch production systems; digital simulation; disperse systems; food processing industry; optimisation; ABC; artificial bee colony metaheuristic; computer simulations; food industry; manufacturing batch dispersion; traceability optimisation; Algorithm design and analysis; Dispersion; Food industry; Manufacturing; Optimization; Production; Raw materials; Artificial Bee Colony; Metaheuristic; Optimization; food industry; manufacturing batch dispersion problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Logistics and Transport (ICALT), 2013 International Conference on
Conference_Location
Sousse
Print_ISBN
978-1-4799-0314-6
Type
conf
DOI
10.1109/ICAdLT.2013.6568495
Filename
6568495
Link To Document