Statistical Monitoring of Tobacco Moisture Using the Particle Size Distribution Data-a Multidimensional Scaling Audit
Chisimkwuo John, Chukwuemeka O. Omekara
Asian Journal of Probability and Statistics · pp. 1–13 · Published 16 Apr 2019
10.9734/ajpas/2019/v3i330096Abstract
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.
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