Monitoring process control chart with finite mixture probability distribution: An application in manufacture industry
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 5 February 2018
Abstract
Purpose
The purpose of this paper is to develop a monitoring multiple-stream processes control chart with a finite mixture of probability distributions in the manufacture industry.
Design/methodology/approach
Data were collected during production of a wheat-based dough in a food industry and the control charts were developed with these steps: to collect the master sample from different production batches; to verify, by graphical methods, the quantity and the characterization of the number of mixing probability distributions in the production batch; to adjust the theoretical model of probability distribution of each subpopulation in the production batch; to make a statistical model considering the mixture distribution of probability and assuming that the statistical parameters are unknown; to determine control limits; and to compare the mixture chart with traditional control chart.
Findings
A graph was developed for monitoring a multi-stream process composed by some parameters considered in its calculation with similar efficiency to the traditional control chart.
Originality/value
The control chart can be an efficient tool for customers that receive product batches continuously from a supplier and need to monitor statistically the critical quality parameters.
Keywords
Acknowledgements
This paper forms part of a special section entitled Selected Papers from the 2nd International Conference on Quality Engineering and Management.
Citation
Vicentin, D.S., Silva, B.B., Piccirillo, I., Bueno, F.C. and Oprime, P.C. (2018), "Monitoring process control chart with finite mixture probability distribution: An application in manufacture industry", International Journal of Quality & Reliability Management, Vol. 35 No. 2, pp. 335-353. https://doi.org/10.1108/IJQRM-11-2016-0196
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited