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:: Volume 2, Issue 3 (11-2015) ::
2015, 2(3): 925-946 Back to browse issues page
A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty
Houssem Felfel * 1, Omar Ayadi2 , Fawzi Masmoudi2
1- National Engineering School of Sfax (ENIS), University of Sfax, Tunisia , houssem.felfel@gmail.com
2- National Engineering School of Sfax (ENIS), University of Sfax, Tunisia
Abstract:   (5968 Views)
In this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. A two-stage stochastic linear programming approach is used to maximize the expected profit. Decisions such as the production amount, the inventory level of finished and semi-finished product, the amount of backorder and the quantity of products to be transported between upstream and downstream plants in each period are considered. The robustness of production supply chain plan is then evaluated using statistical and risk measures. A case study from a real textile and apparel industry is shown in order to compare the performances of the proposed stochastic programming model and the deterministic model.
Keywords: Multi-site, Supply chain planning, Stochastic programming, Textile, Robustness
     
Type of Study: مقاله پژوهشی |
ePublished: 2017/09/28
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Felfel H, Ayadi O, Masmoudi F. A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty. Journal title 2015; 2 (3) :925-946
URL: http://system.khu.ac.ir/ijsom/article-1-2544-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 2, Issue 3 (11-2015) Back to browse issues page
International Journal of Supply and Operations Management International Journal of Supply and Operations Management
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