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International Journal of Supply and Operations Management، جلد ۲، شماره ۳، صفحات ۹۲۵-۹۴۶
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| عنوان فارسی |
A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty |
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| چکیده فارسی مقاله |
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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| کلیدواژه‌های فارسی مقاله |
Multi-site ، Supply chain planning ، Stochastic programming ، Textile ، Robustness ، |
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| عنوان انگلیسی |
A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty |
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| چکیده انگلیسی مقاله |
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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| کلیدواژه‌های انگلیسی مقاله |
Multi-site , Supply chain planning , Stochastic programming , Textile , Robustness , |
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| نویسندگان مقاله |
| houssem felfel
national engineering school of sfax enis , university of sfax, tunisia
| omar ayadi
national engineering school of sfax enis , university of sfax, tunisia
| fawzi masmoudi
national engineering school of sfax enis , university of sfax, tunisia
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| نشانی اینترنتی |
http://system.khu.ac.ir/ijsom/browse.php?a_code=A-10-100-59&slc_lang=en&sid=en |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
Artificial intelligence & expert system |
| نوع مقاله منتشر شده |
Research paper |
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