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العنوان
Strategies for the probabilistic lot sizing problem in A hybrid system /
المؤلف
Ali, Amr Abd EL-Azem Atallah.
هيئة الاعداد
باحث / عمرو عبد العظيم مصطفى حبيب
مشرف / سيد طه محمد
مشرف / ناهد صبحى عبدالنور
مشرف / محمد محمد السيد كسبة
الموضوع
Production Engineering - Research.
تاريخ النشر
2011.
عدد الصفحات
136 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة
تاريخ الإجازة
1/1/2011
مكان الإجازة
جامعة المنيا - كلية الهندسه - هندسة الإنتاج و التصميم
الفهرس
Only 14 pages are availabe for public view

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from 132

Abstract

Production planning arises from the need to efficiently manage a flow of operations ranging from the purchase of raw materials to the delivery of finished products to the final customer. The organization and control of inventory and production resources in a cost-effective way is highly complex. The manufacturing systems classified into categories that are suggested by the kind of finished goods inventory policy and production process they employ.
Some companies follow a Make To Stock (MTS) strategy by converting the raw materials into finished products which are held in stock, while others follow a Make To order (MTO) strategy by responding directly to customer orders and no finished products inventory is held in stock. A number of companies follow a hybrid system which is a combination of the Make To Stock and Make To order strategies.
The main objective of this research is to construct a simulation model representing a manufacturing system model with a hybrid production line and design an interruption discipline in the model to be a helpful tool to the decision maker.
The proposed model is used to determine which items should be made to order and which ones made to stock, and the inventory and production policy for the make to stock items. The model has been developed using Microsoft Excel & Visual Basic to study alternatives in MTO/MTS decision in any manufacturing system, a primary objective is to minimize the total manufacturing cost. Optimization is used to generate optimum strategy mix, and simulation is used to determine the various costs for all alternatives to find the lowest cost.