A New Dynamic and Perspective Parsimonious AHP Model for Improving Industrial Frameworks

Multi-criteria decision methods (MCDMs) are used as an effective tool to support makers (DMs) in critical processes. These several fields of application by analyzing static decision-making problems which it is assumed that the made at a precise moment. By increasing complexity and operating increasingly competitive production sectors, very often problem way not enough. This paper deals with considering temporal variable construction dynamic MCDM, takes into account historical current data order learn from past; prospective also allowing have forecasting perspective future through use techniques work this sense. Our approach was tested multinational company manufacturing sector. The results show approaches allows DMs obtain more alternative rankings given information they exploit furthermore, model, integrated one, makes possible provide greater detail on alternatives update their positions based feedback received. for drawing advantages management point view defines complete choices related planning control can be implemented corporate systems. Furthermore, involvement DM model helps define learning process feeds generating awareness made.