A multi-stage stochastic programming for lot-sizing and scheduling under demand uncertainty
نویسندگان
چکیده
منابع مشابه
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. Decisions such as the production amount, the inventory level of finished and semi-finished product, t...
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Companies are trying to improve their ability to deliver and to reduce their production costs simultaneously. Nevertheless ongoing orders of customers are causing difficulties to deliver because of bottlenecks in the production. Furthermore constantly incoming customer orders effect that every actual optimal production plan with its already realized and planned guidelines has induced states tha...
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Recently, scholars and practitioners have shown an increased interest in the field of sustainable supplier selection and order lot-sizing. While several studies have recently carried out on this field, far too little attention has been given to formulating a multi-objective model for the integrated problem of multi-period multi-product order lot-sizing and sustainable supplier selection under i...
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This paper breaks new ground by modelling lot sizing and scheduling in a flexible flow line (FFL) simultaneously instead of separately. This problem, called the ‘General Lot sizing and Scheduling Problem in a Flexible Flow Line’ (GLSP-FFL), optimizes the lot sizing and scheduling of multiple products at multiple stages, each stage having multiple machines in parallel. The objective is to satisf...
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ژورنال
عنوان ژورنال: Computers & Industrial Engineering
سال: 2018
ISSN: 0360-8352
DOI: 10.1016/j.cie.2018.03.033