Journal Industrial Servicess
Vol 11, No 1 (2025): April 2025

Strengthening screw shaft measurement system in teaching factory through measurement system analysis: A case study

Sumasto, Fredy (Politeknik STMI Jakarta)
Samudra, Bayu (Politeknik STMI Jakarta)
Hakim, Ali Rachman (Politeknik STMI Jakarta)
Imansuri, Febriza (Politeknik STMI Jakarta)
Pratama, Indra Rizki (Politeknik STMI Jakarta)



Article Info

Publish Date
28 Jun 2025

Abstract

Ensuring accurate measurement of precision components is critical in the automotive industry. This study investigates measurement challenges for screw shaft components at the Teaching Factory of Politeknik STMI Jakarta. The initial measurement system performed poorly, with 100% total variation attributed to measurement error and a Number of Distinct Categories (Ndc) of 1, indicating an inability to distinguish product variations. To address this, a Measurement System Analysis (MSA) using the Gage Repeatability and Reproducibility (GRR) method was conducted. Improvements, including operator training, regular calibration, and a custom jig fixture, were implemented. As a result, the GRR value decreased to 26.27%, with repeatability contributing 25.40% and reproducibility 6.74%. The Ndc value increased to 5, reflecting improved capability to differentiate product variations. These outcomes demonstrate that MSA is an effective strategy for evaluating and enhancing measurement systems. It is particularly valuable in vocational education settings to ensure measurement reliability, maintain quality standards, and support industry-relevant skill development.

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Journal Info

Abbrev

jiss

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Description

Jurnal Industrial Servicess merupakan wadah bagi peneliti untuk publikasi jurnal hasil penelitian yang ruang lingkupnya melingkupi: Logistics & Supply Chain Management Operations Research Quality, Reliability, and Maintenance Management Data Mining & Artificial Intelligence Production Planning & ...