Title :
A genetic algorithm approach for the batches delivery optimization in a supply chain
Author :
Elmahi, I. ; Merzouk, S. ; Grunder, O. ; Elmoudni, A.
Author_Institution :
Syst. & Transp. Lab., Univ. of Technol. Belfort Montbeliard, France
Abstract :
The aim of this paper is to optimize the scheduling of the transport equipment of a supply chain under the just-in-time setting. A genetic algorithm for the batches delivery scheduling problem is developed to find the optimal sequence of shipments. The due goods have to be transported from a supplier to a final customer according to a predefined set of due dates while the loading capacities of these transport equipments are assumed to be limited.
Keywords :
genetic algorithms; goods distribution; just-in-time; scheduling; supply chains; transportation; batch delivery scheduling problem; genetic algorithms; just-in-time setting; supply chains; transport equipments; Continuous production; Dynamic programming; Genetic algorithms; Job shop scheduling; Laboratories; Manufacturing; Raw materials; Supply chain management; Supply chains; Time of arrival estimation;
Conference_Titel :
Networking, Sensing and Control, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8193-9
DOI :
10.1109/ICNSC.2004.1297452
