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

John, Chisimkwuo and Omekara, Chukwuemeka 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). pp. 1-13. ISSN 2582-0230

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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.

Item Type: Article
Subjects: STM Digital Library > Mathematical Science
Depositing User: Unnamed user with email support@stmdigitallib.com
Date Deposited: 15 Apr 2023 07:56
Last Modified: 07 Sep 2024 10:09
URI: http://archive.scholarstm.com/id/eprint/871

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