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Which control chart is the best for the particleboard industry: Shewhart, CUSUM or EWMA?

Kurt Rifat, Karayilmazlar Selman

Drewno : prace naukowe, doniesienia, komunikaty

2021

vol. 64, nr 208

95--117

In this study, control charts were prepared using data received from a particleboard manufacturer to determine the factors that impair quality, and the most suitable control charts for the company were specified accordingly. The study material consisted of the tensile strength values of boards taken from a factory over three months. Shewhart, CUSUM and EWMA control charts were used for variable quantities to achieve the targeted quality level. It was concluded from the research that interdependent and independent evaluation of the data observed during particleboard manufacturing was required; therefore, the combined use of CUSUM and Shewhart control charts was proposed.

Comparison of Selected Strategies of Statistical Quality Control

Worwa K.

Research in Logistics & Production

2015

Vol. 5, No. 4

337--346

The paper presents the results of a comparative analysis of the two methods of statistical quality control of products. That two methods differ from each other mainly by a way of determining a subset of products subjected to inspection. The first of the two methods, hereinafter referred to as the completely random method, is to draw a certain number of products for control of the entire products population. The second method, called the method of drawing from partitions, is a pre-split across the specific products population into smaller parts, called partitions, and then create a representation (sample) of the products subject to control by drawing the products from each partition. The main result of this study is to determine the conditions for which the effectiveness of quality control methods with drawing from partitions is not less than the efficiency of the method with fully random drawing, whereby the efficiency criterion is the likelihood of the event, consisting in the fact that there is at least one incorrect product among the drawn products. The considerations were illustrated by numerical examples, designed to compare the effectiveness of the analyzed methods of quality control.