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
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;
Conference_Titel :
Advanced Logistics and Transport (ICALT), 2013 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-0314-6
DOI :
10.1109/ICAdLT.2013.6568495
