طريقة النقطة العائمة لحل مشكلة النقل ذات القيود الاضافية ومقارنتها مع الطرق الحديثة مع تطبيق عملي == Floating Point Method To Solve The Transportation Problem With Additional Constraints And Comparing Them With Modern Methods With Practical Application
Author name:
لؤي امير عدنان
Supervisor name:
فاتن فاروق صالح البدري
General topic:
Administration and Economics
Specific topic:
Operations Research
Degree:
Master
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language:
Arabic
University location:
Baghdad
First pages:
07T3332 - p.pdf
Abstract:
تعتبر مشكلة النقل من الاساليب الرياضية المهمة المساعدة في عملية اتخاذ القرار الملائم في نقل كمية من المواد السلع من مصدر تصنيعها الى مراكز الطلب المتعددة بهدف سد حاجة هذا المراكز وباقل التكاليف الممكنة.وفي هذه الرسالة تم عرض انموذج لمشكلة النقل مع القيو | The problem of Transportation is considered one of important mathematical methods , that helps in making suitable decision for Transportation amount of materials goods from the manufacture resource to multiply centers of demand, in order to fulfill the need of this centers and at minimum possible costs, In this research it was presented a model of the transportation problem with additional restrictions and resolve this model by using the method of floating point to find the optimal solution to the transportation problem with additional restrictions, this method is considered one of the modern and very important methods for administration and economic decisions makers , And also the use of genetic algorithm to solve linear model approach to the problem of transport with additional restrictions for the purpose of comparing results, as well as the use of the simplified method of linear programming (Simplex) to resolve the problem of linear specimen transport with additional restrictions.The above methods were applied to solve the problem of the transfer of gasoline product from warehouses to filling stations in Baghdad / Rusafa with an additional restriction on the proportion of additives in gasoline in the State Company for Oil Products Distribution / center branch. It was reached good results in reducing transport costs in every way. After comparing our findings show that the floating - point method is the best, as the total cost of transportation which was (2,988,333.71) and followed by linear programming method Tcalf total (3,025,801) and the method of genetic algorithm total costs (3,579,900).
