1993International Journal of Computer Integrated ManufacturingRequires access

An intelligent decision system for a modern manufacturing system

Kuo‐Shong Wang, Hung-Wei Hsia, Zheng-Dao Zhuang

Open publisher page 7 citations

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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What this paper is about

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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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Decision system, Decision support system, Computer science, Intelligent decision support system, Plan (archaeology), Core (optical fiber), Flexible manufacturing system, Event (particle physics)

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