استخدام أنموذج الموتاد لتحديد خطط الإنتاج الكفوءة في قطاع الزيوت النباتية في ظل ظروف المخاطرة 2011-2018

الملخص EN

The objective of the research is to determine the optimal and efficient production plans using linear programming technique (LP) and (MOTAD) based on statistical program (win QSB) to obtain high levels of production and high levels of profits by maximizing the value of the objective function and increasing the profitability of the vegetable oil factories and deriving efficient production plans under conditions of risk, the research showed a number of results, the most important are: prove the validity of the hypothesis by achieving high levels of production and profits, as well as optimal allocation of available resources, as the amount of production increased from 472 tons in the actual production plan to 974 tons in the derived plan using the LP achieving a jump of 106.4% for year 2018, and the research reached a set of conclusions, including matching the research results to the research hypotheses.

the optimum solution is by using the (LP) method that shows the difference in the commodity composition and the difference of its quantities from the actual commodity composition of the products under study.

also, the derived efficient plans differ from the optimal plans and the actual plans of the factories.

as for the group of efficient derivative plans, it showed that there is a type of(trade-off) between expected return (e) from each plan and the risk margin represented by the average total absolute deviations (a).

if the investor wants a higher income, he must expect a greater risk margin and vice versa.

based on the above, the research provides a number of recommendations, the most important of which is the application of (LP) technique to find out the extent of investment the available resources in an efficient manner, which helps to increase production in order to achieve economic efficiency and the need to circulate it to production units with similar conditions to determine the proper use optimization of various productive resources.