NDLI: Developing a fuzzy multivariate CUSUM control chart to monitor multinomial linguistic quality characteristics

Content Provider	Springer Nature Link
Author	Ghobadi, Shahram ghondarian, Kazem orossana, Rassoul Mirhosseini, S. M. Sadegh
Copyright Year	2015
Abstract	Currently, there are many situations in industry where simultaneous monitoring and control of two or more related quality characteristics of a product or a process becomes necessary. Independent monitoring of these kinds of quality characteristics can be very deceptive. Conventional multivariate control charts have been used to monitor and control the multivariate quality characteristics. However, these types of charts are not useful tools when the quality characteristics of a product or process are linguistic or fuzzy. Hence, fuzzy Hotelling’s T 2 chart (F-T 2) and fuzzy multivariate exponentially weighted moving average (F-MEWMA) control chart have been used to monitor these processes. In this paper, a fuzzy multivariate cumulative sum (F-MCUSUM) control chart is developed by means of the fuzzy set theory. Through a numerical comparison via a simulation study, the performance of the developed control approach is investigated on the basis of the average run length (ARL) in various out-of-control scenarios. When small shifts make the process out of control, the F-MCUSUM control chart is almost two times quicker than the F-T 2 and F-MEWMA control charts in detecting shifts. The results of numerical comparison indicate better performance of developed multivariate control approach in detecting small- and medium-sized shifts in the process. A case study in food industry is utilized to show the applicability of the proposed approach and the interpretation of the out-of-control signals.
Starting Page	1893
Ending Page	1903
Page Count	11
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	79
Issue Number	9-12
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2015-03-11
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multivariate control chart Fuzzy set theory Linguistic quality characteristic Fuzzy control chart Food industry Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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