Abstract

The effective resolution of a problem that concerns several actors requires first of all the involvement of every actor in the choice of the appropriate solution which must be commonly accepted in order to facilitate its implementation. As a result, group decision-making must incorporate a consensus reaching process. In this study, we introduce CCAHP Collaborative and Clustering Analytic Hierarchy Process» method which is a hybrid form of the multi-criteria analysis method AHP that integrates together artificial intelligence and collective intelligence. Then we apply the proposed method to build a dashboard for supply chain risk and performance management (SCRPM), which allow managing performance (under performance: "normal risks") on one side, and on the other managing abnormal risks (disruption, incidents, etc.).

Authors and Affiliations