• We present a new adaptive sampling method for statistical quality control. In this method, called LSI (Laplace sampling intervals), we use the probability distribution function of the Laplace standard distribution to obtain the sampling instants, depending on a k parameter that allows control of sampling costs. Several algebraic expressions concerning the statistical properties of the LSI met...

This paper presents simpler alternative formulae and procedures of implementation to deal with the relative range statistic (moments, distribution and quantiles) used in the construction of range control charts for process dispersion monitoring. The Tippett’s integral formulae for sample relative range moments and distribution are revisited and simpler new alternative expressions are proposed t...

Western Electric (1956) and Nelson (1984) proposed rule sets to detect visually obvious process upsets on a control chart. Performance evaluation of these rules require simulating situations that correspond their intended detection purposes such as linear drift, cycling, seesaw sustained mean shifts. These non-random patterns become in the presence reduced variation. Contrary previous assessmen...

The implementation of Statistical Quality Control (SQC) has been tracked in various areas, such as agriculture, environment, industry, and health services. employment SQC methodologies is frequently employed for monitoring identification process irregularities across fields. This research proposes implements a novel methodology agricultural areas. A control chart one the tools that facilitates ...

Diagnostic laboratories are increasingly required to meet stringent quality standards, and validated assays are needed to achieve formal accreditation. Validation of test methods is often considered to be finalised when the assay parameters and characteristics have been established. However, like any process, diagnostic assays are subject to random variation resulting in shifts in the mean test...

Control charts are graphical tools widely used to monitor manufacturing processes to quickly detect any change in a process that may result in a change in product quality. The statistic plotted on a control chart is based on samples of n ≥ 1 observations (rational subgroups) that may be taken at regular sampling intervals. However, there are numerous practical applications using individual obse...

In this research, we propose the new mixed control chart called Moving Average-Cumulative Sum (MA-CUSUM) used for monitoring parameter changes in asymmetrical and symmetrical processes. Its efficiency was compared with that of Shewhart, Cumulative (CUSUM), Average (MA), Sum-Moving (CUSUM-MA) charts by using their average run lengths (ARLs), standard deviation length (SDRL), median (MRL) via Mon...