أستخدام البرمجة الهندسية للسيطرة على الخزين في (مصرف الدم الوطني العراقي) الاحتمالي و غير الاحتمالي بقيود خطية وغير خطية

Authors

  • أ.د.حامد سعد نور الشمرتي
  • منى شاكر سلمان

Keywords:

geometric programming / posynomial / non-probabilistic Inventory models / probabilistic inventories models / change in the function of the rate of demand with the order quantity / change in function to keep Balkhozan with the amount of demand .

Abstract

           The importance of using models of inventories has been increased recently in all areas as a result of unstable conditions. So came the goal of our research for the most important areas for the human , but it is the blood that is considered the most valuable of what can be mastering the art in order to save others , which cannot be obtained only through donation , We'll show how important is it to use models inventories probabilistic and non- probabilistic to help the blood bank to find the optimal quantity of blood and product required , and also the " optimal quantity that try is  to make the total cost of less than what can be cost is (can save what can be saved of patients , or reduce the waiting time for them , Finally, We will help the blood bank to complete its task the highest image humane found for it).

      The method was used the geometric programming  to facilitate problem inventories for the blood bank to reduce costs in addition to maintain optimal quantities and waiting time for two reasons:-

      First: if carried out a particular item from the store, this leads to the loss of the lives of patients.
Second:  difference time between the orders that determine and delivered by the blood bank, which lead to loss in life of patients

      The research has come to a set of conclusions that have proven ability geometric programming to minimum the overall cost and minimum the waiting time as well as obtain the economic quantity .It also this paper recommends the need to research application geometric programming technology can be applied to many kinds of practical solutions plus they reduce the problem to go to solve complex optimization problem for up to one containing a set of algebraic equations of linear sequence.

Published

2022-04-10