A Hybrid Artificial Intelligence-Based System for Supporting Eco-Industrialization of Complex Manufacturing Processes

Abstract

Since the industrialization phase is one of the main phases of the product development cycle, an original hybrid flexible automated system is developed in this paper in order to support production eco-processes designers’ decision making. It is based on three different artificial intelligence tools, namely the fuzzy Ontologies, the cases based reasoning and the rules based reasoning, which have been integrated in one system. Actually, the proposed system is composed of different modules that are well described in details thereafter. In the end of this paper, a case of study is presented in order to illustrate the efficacy of the developed intelligent system.