Innovative Quick-switching Sampling System for Product Quality Sentencing Integrated with Process Incapability Index Cpp
Abstract
Purpose: This study develops the novel inspection concept of quick switch sampling (QSS), integrating the process incapability index to determine the quality of the product based on the nonconforming fraction.
Methodology/Approach: Product quality acceptance is determined through a nonlinear optimisation model that minimises the average sample number (ASN) for inspection, subject to constraints on predetermined quality levels and risks. The plan's effectiveness is evaluated based on the efficiency of ASN and the discriminatory power of its operating characteristics (OC) curve.
Findings: The findings reveal that the QSS sampling strategy provides requisite quality assurance with reduced sample sizes relative to the conventional quality inspection model while maintaining discriminatory power between business partners. These findings highlight the potential of QSS systems to enhance the effectiveness of quality control while maintaining stringent quality standards.
Research Limitation/Implication: The study was conducted under the assumption that quality characteristics are normally distributed.
Originality/Value of paper: The development of a QSS plan integrated with the process incapability index offers adaptive inspection protocols that dynamically adjust inspection stringency in response to fluctuations in product quality and accommodate product sensitivity in terms of process accuracy and precision.
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Copyright (c) 2025 Armin Darmawan
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