Using analytic hierarchy process and Decision Tree for a production decision making

Today, the light weight bricks are on high demand in the market, where “X” is considering to expand its' business to produce this product. However, expanding business to a new business lines requires a comprehensive considerations. Complexity of decision-making not only lies in the uncertainty or the imperfections of information, but involves many criteria and sub-criteria used to rank the alternatives of a decision. The purpose of this study is to understand the best solution on whether or not the light weight bricks being produced by “X”. Hence, this study applied the analytic hierarchy process (AHP) and Decision Tree Analysis (DTA) as the rational decision making tools may help “X” to decide whether or not to invest in the new business line. The results based on data processing AHP of directors and general managers indicate that the “X” has a tendency to decide to make the light weight bricks. While based on the DTA shows that the “X” will benefit if it decides to make the light weight bricks.