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Journal of Intelligent Manufacturing

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20-02-2017

A comparative study and measuring performance of manufacturing systems with Mamdani fuzzy inference system

Authors: Ehsan Pourjavad, Rene V. Mayorga

Published in: Journal of Intelligent Manufacturing | Issue 3/2019

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Abstract

In today’s competitive environment, measuring companies’ performance properly has become a vital subject not only for investors but also for the companies that are working in the same sector. The achieved results of performance measurement can help managers to identify means of improvement, measure progress and find unknown problems in the company. There are many efficiency frontier analysis methods to evaluate performance; but, each of these methods has its strength as well as major limitations. In this article, a fuzzy approach based on Mamdani fuzzy inference system is presented for performance measurement of manufacturing systems. The generation of fuzzy rules is the biggest consideration in designing the proposed model. In fact, fuzzy inference rules model human reasoning and are embedded in the system, which is an advantage when compared to approaches that combine fuzzy set theory with multi-criteria decision-making methods. A fuzzy inference system is constructed and applied to measure the performance or efficiency of manufacturing systems. Implementation of the proposed model is analyzed and discussed using a real case. The results reveal the usefulness of the proposed model in evaluating the performance of manufacturing companies.

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Title: A comparative study and measuring performance of manufacturing systems with Mamdani fuzzy inference system
Authors: Ehsan Pourjavad
Rene V. Mayorga
Publication date: 20-02-2017
Publisher: Springer US
Published in: Journal of Intelligent Manufacturing / Issue 3/2019
Print ISSN: 0956-5515
Electronic ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-017-1307-5

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