Measurement System Analysis for improved manufacturing processes in a Job-shop

• Published in: Journal of Applied Sciences and Environmental Management Vol. 29; no. 6; pp. 1780 - 1785
• Main Authors: Ezewu, K., Ukrakpor, F. E.
• Format: Journal Article
• Language: English
• Published: 29.06.2025
• ISSN: 2659-1502; 2659-1499
• DOI: 10.4314/jasem.v29i6.7

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.