دانلود مقاله انگلیسی رایگان:بهینه سازی سیاست های ساخت برای سهام ازطریق یک مدل اندازه گذاری بزرگ محکم - 2018
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  • Optimizing make-to-stock policies through a robust lot-sizing model Optimizing make-to-stock policies through a robust lot-sizing model

    سال انتشار:

    2018


    عنوان انگلیسی مقاله:

    Optimizing make-to-stock policies through a robust lot-sizing model


    ترجمه فارسی عنوان مقاله:

    بهینه سازی سیاست های ساخت برای سهام ازطریق یک مدل اندازه گذاری بزرگ محکم


    منبع:

    International Journal of Production Economics Volume 200, June 2018, Pages 302-310


    نویسنده:

    Agostinho Agra, Michael Poss, Micael Santos


    چکیده انگلیسی:

    In this paper we consider a practical lot-sizing problem faced by an industrial company. The company plans the production for a set of products following a Make-To-Order policy. When the productive capacity is not fully used, the remaining capacity is devoted to the production of those products whose orders are typically quite below the established minimum production level. For these products the company follows a Make-To-Stock (MTS) policy since part of the production is to fulfill future estimated orders. This yields a particular lot-sizing problem aiming to decide which products should be produced and the corresponding batch sizes. These lot-sizing problems typically face uncertain demands, which we address here through the lens of robust optimization. First we provide a mixed integer formulation assuming the future demands are deterministic and we tighten the model with valid inequalities. Then, in order to account for uncertainty of the demands, we propose a robust approach where demands are assumed to belong to given intervals and the number of deviations to the nominal estimated value is limited. As the number of products can be large and some instances may not be solved to optimality, we propose two heuristics. Computational tests are conducted on a set of instances generated from real data provided by our industrial partner. The heuristics proposed are fast and provide good quality solutions for the tested instances. Moreover, since they are based on the mathematical model and use simple strategies to reduce the instances size, these heuristics could be extended to solve other multi-item lot-sizing problems where demands are uncertain.
    keywords: Lot-sizing |Make-To-Stock |Robust optimization |Mixed-integer linear programming


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 9
    حجم فایل: 301 کیلوبایت

    قیمت: رایگان


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