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العنوان
A design of aggregate planning strategies model and applications /
المؤلف
Hassan, Mohamed El-Sayed.
هيئة الاعداد
باحث / محمد السيد حسن
مشرف / توفيق توفيق الميداني
مشرف / أحمد عبد الحميد عبد الشافي
مناقش / محمد أنور الدرينى
الموضوع
vehicle industry. vehicle industry, water desalination. integrated production planning. aggregate production plan, integrated production planning, vehicle industry, water desalination, , Six Sigma, storing the product water, ASR .. aggregate production plan. aggregate production plan.
تاريخ النشر
2009.
عدد الصفحات
132 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الميكانيكية
تاريخ الإجازة
01/01/2009
مكان الإجازة
جامعة المنصورة - كلية الهندسة - Department of engineering and mechanical design
الفهرس
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Abstract

This study investigates how to get the optimum aggregate production plan in order to minimize the total production cost, maximize the total profit, increase the return on investment, and consequently strengthen the national economy.
To achieve so, two integrated production planning, distribution, and investment model was developed for two multinational firms working in Egypt; Nissan (vehicle industry) and Ridgewood (water desalination). Two ALP models have been developed in order to cover the continuous type of production and service, whereas two Excel data solver techniques have been used to solve these ALP models.
ALP model could not be developed at first in case of water desalination because there was no finished product inventory. Therefore, Six Sigma project has been implemented in the case of water desalination in order to solve this problem. The DMAIC methodology has been applied while the water desalination methods have been surveyed and the problem has been defined through the Define phase. Several alternatives have been studied through the Analyze phase. Moreover, the most feasible alternative discovered is to apply a new technology of storing the product water underground which is called ASR. Then the aggregate planning model has been developed and implemented to determine the optimum monthly production through the Improved phase.
The models and the techniques have been applied on both firms for one fiscal year. Comparing the results of our study against the normally planned production outcome, a saving for about (8%) has been achieved in case of Nissan and about (5.9 %) in case of Ridgewood..