Statistical Monitoring of Tobacco Moisture Using the Particle Size Distribution Data-a Multidimensional Scaling Audit

Main Article Content

Chisimkwuo John
Chukwuemeka O. Omekara

Abstract

Tobacco manufacturers see the tobacco moisture content as one of the determining factors in the quality of the finished tobacco product. During primary processing stage, the Particle Size Distribution (PSD) of the cut tobacco is a good measure of the tobacco moisture content. This paper presents statistical analyses of a two month PSD data using graphical techniques from noteworthy statistical multidimensional scaling (MDS) approaches in characterizing the tobacco moisture quality ratio. At the end, the evaluation within the investigated months fosters an indicative process audit, control and predictive monitoring that is capable of providing valuable impacts to future production.

Keywords:
Metric MDS, procrustes analysis, correspondence analysis, PCA biplot, profile analysis, boxplots

Article Details

How to Cite
John, C., & Omekara, C. O. (2019). Statistical Monitoring of Tobacco Moisture Using the Particle Size Distribution Data-a Multidimensional Scaling Audit. Asian Journal of Probability and Statistics, 3(3), 1-13. https://doi.org/10.9734/ajpas/2019/v3i330096
Section
Original Research Article