Abstract
Abstract Due to the dynamic characteristic shown in manufacturing systems, production efficiency is not easily maintained as we plan, especially when an abnormal situation (e.g. machine breakdown, rush order, etc.) occurs. An intelligent decision system for a modern manufacturing system is presented in this paper. This system integrates artificial intelligence, optimization techniques, and simulation to solve the above-mentioned problems. Three modules are included in the system, namely a decision centre, decision support system and decision analysis module. Event graphs are adopted to describe the decision-making logic for the decision centre which is the core of the system. An example concerning machine breakdown is given.
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