Year: 2025
Type: article
Abstract: Important decisions in the manufacturing sector are heavily reliant on the capabilities of the measurement system in place because faulty data collection can make it difficult to detect an out-of-control manufacturing process and also, to distinguish between acceptable and unacceptable products. Therefore, the objective of this study is to conduct a measurement system analysis (MSA), to improve manufacturing processes in a Job-shop. Deploying standardized methods for a Gage Repeatability and Reproducibility (Gage R&R) study and with the support of the Minitab Statistical software package, the Gage Repeatability and Reproducibility (GR&R) was found to be 19.56% (required GR&R < 30%) with the number of distinct categories (ndc) obtained to be 7 (required ndc ≥ 5), indicating that the manufacturing process can rely on data accuracy from the measuring system put in place. This shows that a Gage R&R study has the potential to improve data reliability, improve manufacturing processes and also, reduce cost associated with rework or scrap, and we strongly recommend the MSA study using Gage R&R to every manufacturing organization for its many benefits.
Authors: K. Ezewu, F. E. Ukrakpor
Institution: Delta State University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4412032058