Using Analytical Network Process Decision Methodology to Analyze and Allocate Resources in the U.S. Army Training Support System

Deciding on an appropriate training solution mix at the strategic level of U.S. Army training support system enterprise to support warfighter preparation is a complex matter. One of the most important problems is integrating qualitative and quantitative multiple sources of influential information. There are many goals to accomplish while they are constantly changing. However, the best training solution mix option that both minimizes resource impact and maximizes training throughput must be selected. The objective of this paper is to introduce a decision-making methodology based on the Analytical Network Process (ANP) for the U.S. Army Training Support System (ATSS). The methodology assists in the evaluation of training alternatives to help strategic decision makers to select the best mix of training components and strategies. An application of the proposed methodological framework is performed in real world example. The problem involves deciding the right mix of training solutions for urban operation training among a group of selected options.