Dear users,
This is our new website
(we are launching the new one in order to improve our communication and provide better services to the editors and authors. So we will upload all data soon).
Please click here to visit our current website, and also to submit your paper: www.ijsom.com
Thanks for your patience during relocation.
Feel free to contact us via info@ijsom.comand ijsom.info@gmail.com
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: (5814 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.
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://ijsom.khu.ac.ir/article-1-2544-en.html