Improving the Quality of Administrative Decision Making Using Integrating (AHP-GP) to Determine the Optimal Production Mix

Abstract

Improving the quality of administrative decisions requires integrating accurate data, logical analysis, and the use of modern technology tools through systematic steps that include identifying the problem, consulting with others, and continuously improving knowledge and leadership skills to ensure the efficiency and effectiveness of decisions in a changing environment.                                                                                                 

Administrative problems are not based on a single criterion, but rather on multiple criterion. Therefore, it is more appropriate to use methods that encompass several aspects and constraints as multi-criteria methods. These methods include both quantitative and qualitative criteria simultaneously, and these criteria are often not of equal importance in decision making.                                                                               

The integration of Analytic Hierarchy Process (AHP) and Goal Programming (GP) is considered one of the quantitative approaches that leads to improved quality of administrative decisions, as it combines accuracy in determining the weights of criteria with flexibility in allocating available resources.                                                              

AHP is used as an objective tool to determine criterion weights based on consultation with a group of experts, not on the personal judgment of the decision-maker. Then comes the role of goal programming in comparing alternatives and determining the optimal production mix using the weights obtained through this method.                        

In this paper, the integration (AHP- GP) used to find the optimal production mix for the winding wire plant at Ur Company through three stages. The first stage is defining the criteria and finding pairwise comparisons according to expert opinion,  the second stage is determining the relative weights of the criteria,  and the third stage, is finding the optimal production mix.                                                                                                      

It can be concluded that the use of modern scientific methods helps decision-makers in production institutions to rationalize their decisions in determining the optimal production mix, and the most important recommendation is to direct the attention of decision-makers in factories and companies in general to rely on quantitative methods in the decision-making process to achieve their goals.