A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty

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. Deci...

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Main Authors: Houssem Felfel, Omar Ayadi, Fawzi Masmoudi
Format: Article
Language:English
Published: Kharazmi University 2015-11-01
Series:International Journal of Supply and Operations Management
Subjects:
Online Access:http://www.ijsom.com/article_2544_0c96c55690a8b29f35ce8a698d7bf091.pdf
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author Houssem Felfel
Omar Ayadi
Fawzi Masmoudi
author_facet Houssem Felfel
Omar Ayadi
Fawzi Masmoudi
author_sort Houssem Felfel
collection DOAJ
description 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.
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spelling doaj.art-50f29e8042c8442aaa78b16a3f4ff9a82022-12-21T18:48:57ZengKharazmi UniversityInternational Journal of Supply and Operations Management2383-13592383-25252015-11-012392594610.22034/2015.3.072544A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand UncertaintyHoussem Felfel0Omar Ayadi1Fawzi Masmoudi2National Engineering School of Sfax (ENIS), University of Sfax, TunisiaNational Engineering School of Sfax (ENIS), University of Sfax, TunisiaNational Engineering School of Sfax (ENIS), University of Sfax, TunisiaIn 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.http://www.ijsom.com/article_2544_0c96c55690a8b29f35ce8a698d7bf091.pdfmulti-sitesupply chain planningstochastic programmingtextilerobustness
spellingShingle Houssem Felfel
Omar Ayadi
Fawzi Masmoudi
A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty
International Journal of Supply and Operations Management
multi-site
supply chain planning
stochastic programming
textile
robustness
title A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty
title_full A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty
title_fullStr A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty
title_full_unstemmed A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty
title_short A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty
title_sort stochastic programming approach for a multi site supply chain planning in textile and apparel industry under demand uncertainty
topic multi-site
supply chain planning
stochastic programming
textile
robustness
url http://www.ijsom.com/article_2544_0c96c55690a8b29f35ce8a698d7bf091.pdf
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