Volume 23, Issue 3 (IJIEPM 2012)                   2012, 23(3): 351-362 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Scheduling an Integrated Production and Air Transportation in Supply Chain with Sequence-Dependent Setup Times. Journal title 2012; 23 (3) :351-362
URL: http://ijiepm.iust.ac.ir/article-1-953-en.html
Abstract:   (19459 Views)
This paper presents a new mathematical programming model for an integrated production and air transportation in supply chain management with sequence-dependent setup times in order to design an applied procedure for the production and distribution schedule. The aim of this model is to minimize the total supply chain cost consisting of the costs of distribution, production earliness and tardiness, and delivery. Because of the complexity and NP-hardness of this problem, two meta-heuristics based on genetic algorithm (GA) and variable neighborhood search (VNS) are proposed. The parameters of these algorithms and their appropriate operators are set and determined by the use of the Taguchi experimental design. Then, the quality of the results obtained by these algorithms is compared. The computational results show that the developed VNS outperforms the proposed GA.
Full-Text [PDF 3183 kb]   (3246 Downloads)    

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.