Title: A literature review investigation on quality control charts based on fuzzy logic

Authors: Mina Nasiri; Soroush Avakh Darestani

Addresses: Faculty of Mechanical and Industrial Engineering, Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran ' Faculty of Mechanical and Industrial Engineering, Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Abstract: To assure the quality of product and services, organisations need to employ quality control tools. In this context, as precise data are not always available, fuzzy sets theory can adequately model the processes in which observed data are vague. Researchers have focused on fuzzy control charts that accommodate uncertainty due to fuzziness. Owing to the importance of fuzzy control charts, this research reviewed the literature on fuzzy control charts since 1990-2012. Based on the objective of this paper, fuzzy application of control charts were analysed with respect to the publication year, journal's title, author's affiliation, data source, fuzzy theory classification, control chart classification and research place. The results demonstrated positive increasing trends of researches occurred in the last decade. To sum up, the results demonstrated that using fuzzy set theory on control chart still needed for further investigation on performance criteria, membership, distributions function, heuristic methods and attribute control chart.

Keywords: fuzzy set theory; fuzzy control charts; statistical process control; SPC; literature review; quality control; fuzzy logic; fuzzy sets.

DOI: 10.1504/IJPQM.2016.077778

International Journal of Productivity and Quality Management, 2016 Vol.18 No.4, pp.474 - 498

Received: 10 Mar 2014
Accepted: 25 Oct 2014
Published online: 15 Jul 2016 *

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