Innovative Quick-switching Sampling System for Product Quality Sentencing Integrated with Process Incapability Index Cpp

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.

Authors

Institutions

Publication Details

Journal
Quality Innovation Prosperity
Published
2025-11-30
DOI
https://doi.org/10.12776/qip.v29i3.2269
Primary Topic
Advanced Statistical Process Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Innovative Quick-switching Sampling System for Product Quality Sentencing Integrated with Process Incapability Index Cpp

Armin Darmawan
Quality Innovation Prosperity
Advanced Statistical Process Monitoring
article

Innovative Quick-switching Sampling System for Product Quality Sentencing Integrated with Process Incapability Index Cpp

Armin Darmawan
article en

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.

Quality Innovation ProsperityVol. 29(3)
Hasanuddin University (ID)
Openalex Percentile: Top 64%
Advanced Statistical Process Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.