Article

Title: A REVIEW STUDY ON VARIOUS SAMPLING PLANS
Authors: S. Kavithanjali¹*, A. Sheik Abdullah² & R. Kamalanathan³
Abstract: This article delves into the dynamic intersection of Statistical Quality Control (SQC) methodologies and the intricate realm of sampling plans to optimize quality assurance strategies across diverse industries. Sampling plans play a pivotal role in assessing product and process quality, and their efficacy is inherently linked to the precision and reliability of underlying statistical analyses. The objectives of this study are multifaceted, aiming to evaluate and refine the applications of SQC in various types of sampling plans, including attribute and variable sampling, as well as acceptance sampling plans. Through an extensive literature review, we explore the nuanced landscape of SQC techniques and statistical product control, tailored to the unique demands of diverse sampling methodologies. Drawing on real-world examples and case studies, this article demonstrates how the integration of SQC techniques augments decision-making processes within the sampling framework. In conclusion, our findings underscore the transformative potential of innovative SQC applications in sampling plans. Practical recommendations for industry practitioners guide the seamless integration of these methodologies into existing quality assurance frameworks. As we chart new territories in quality control, this article sets the stage for future investigations, identifying avenues for continuous improvement and exploration in this evolving field.
Keywords: Statistical Quality Control, sampling Inspection Plans, SQC, SSP, and DSP.
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Date of Publication: 2024-02-15
Published Volume & Issue: Volume - 1 & Issue - 2

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