QUALITY ANALYSIS IN THE INTRLOCKING STONES WITH MARKOV CHAIN MODEL

Dr.R.Arumugam Assistant Professor, arumugamr@pmu.edu
S.Vinodhini Research Scholar, Department of Mathematics, Periyar Maniammai Institute of Science & Technology, Thanjavur-613 403 Tamilnadu, India, vinodhinisundarraj97@gmail.com

Abstract

The data explored the assessment of the quality of river sand as an aggregate in place of crushed stones, which is widely used by the majority of manufacturers in the production of interlocking stones. Experimental tests carried out on river sand and crushed rock as aggregates include: moisture content determination, specific gravity, and bulk density to determine the defect rates. The results of the experiments are presented in the Markov Chain Process to find the quality rate of river sand and crushed rock. Statistical quality control is the use of statistical methods in the monitoring and maintenance of the quality of products and services. One method, referred to as "acceptance sampling," can be used when a decision must be made to accept or reject a group of parts or items based on the quality found in the sample. A second method, referred to as statistical process control, uses graphical displays known as control charts to determine whether a process should be continued or should be adjusted to achieve the desired quality.

Keywords:

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: River sand, crushed stone as fine aggregate, cement, compressive strength, Markov Chain, Minitab software

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References


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