Special Issue Article Open Access

Optimization of Overall Equipment Effectiveness in A Manufacturing System

Abstract

Recent developments in engineering optimization allow choosing the best input values thereby enhancing the effectiveness of any equipment. Overall Equipment Effectiveness (OEE) is a performance measure which employs factors such as availability rate, performance rate and quality rate to determine the efficiency of a manufacturing system. In this paper, Overall Equipment Effectiveness (OEE) is optimized using Genetic Algorithm to achieve the best utilization of the plant resources. The availability rate of the machine, performance rate of the machine and quality rate of the products are considered as parameters while maximizing the Overall Equipment Effectiveness (OEE) of a manufacturing system. It is found that the lagging in performance rate contributes more than availability rate and quality rate that deficiency of effectiveness in the system. It is concluded that maintaining the performance rate above 95% will result in effective utilization of the considered manufacturing system.

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