Design of Experiment for Gauge Capability and Comparison of Variability for Discrete and Scanning Methods of Obtaining Data

Gauge repeatability and reproducibility are becoming a versatile tool for determining the effectiveness or adequacy of manual and automatic measuring systems. The knowledge of variation is essential as variation is inherent in every measurement process and is sometimes unpredictable. Understanding and controlling variation in measurement systems is critical to reducing variability. This paper presents a design of an experiment to analyze gauge capability and uses the same designed experiment to test and compare the variation for two automatic measurement systems. Three factors were determined as a starting point and were compared at two levels. The test results were analyzed using the expanded ANOVA method in Minitab. Significant conclusions were drawn out and a recommendation for further work is suggested.

Authors

Institutions

Publication Details

Journal
Advanced engineering forum
Published
2025-10-09
DOI
https://doi.org/10.4028/p-hlp24l
Citations
1
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of Experiment for Gauge Capability and Comparison of Variability for Discrete and Scanning Methods of Obtaining Data

Muhammad Uthman, Joel Arumun, Victor Ekanem
1 citations
Advanced engineering forum
Scientific Measurement and Uncertainty Evaluation
1.40
article

Design of Experiment for Gauge Capability and Comparison of Variability for Discrete and Scanning Methods of Obtaining Data

Muhammad Uthman, Joel Arumun, Victor Ekanem
article en
1 citations

Abstract

Gauge repeatability and reproducibility are becoming a versatile tool for determining the effectiveness or adequacy of manual and automatic measuring systems. The knowledge of variation is essential as variation is inherent in every measurement process and is sometimes unpredictable. Understanding and controlling variation in measurement systems is critical to reducing variability. This paper presents a design of an experiment to analyze gauge capability and uses the same designed experiment to test and compare the variation for two automatic measurement systems. Three factors were determined as a starting point and were compared at two levels. The test results were analyzed using the expanded ANOVA method in Minitab. Significant conclusions were drawn out and a recommendation for further work is suggested.

Advanced engineering forumVol. 57
University of Huddersfield (GB), University of Abuja (NG)
Openalex Percentile: Top 12%
Scientific Measurement and Uncertainty Evaluation
1.40
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.