Indonesian Journal of Industrial Engineering & Management
Vol 6, No 2: June 2025

Quality Control Analysis of Cover Flange Products with Six Sigma Approach at PT. SMI

Tri Nurhasanah, Anggita Nafiulana (Unknown)
Restuasih, Sinta (Unknown)
Haryudiniarti, Ayu Nurul (Unknown)



Article Info

Publish Date
31 Oct 2025

Abstract

PT. SMI is a manufacturing company engaged in manufacturing services specializing in heavy equipment components. In the production process activities there are still several factors that cause a product that has been produced not in accordance with predetermined specifications. Therefore, this study aims to determine the types and factors that can cause deffects and provide proposals for improving the Cover Flange at PT. SMI. The method used is the Six Sigma DMAIC method (Define, Measure, Analyze, Improve, Control) which is quality control to minimize the number of defective products. Based on the results of data processing analysis, there are still data that are still outside the control limits. Therefore, the production process still has to be improved in order to improve quality. The DPMO (Defect Per Million Opportunities) value before improvement is 106456 and the sigma value is 2.70. The proposed improvement used in this study is to use the 5S method (Seiri, Seiton, Seiso, Seikersu, Shitshuke) So, the results obtained after applying the 5S method are a reduction in the DPMO value of 51579 and a sigma value of 3.15 with a reduction in the number of defective Cover Flange products, so with the improvement being able to provide changes in the DPMO value and sigma value of PT. SMI.

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Journal Info

Abbrev

ijiem

Publisher

Subject

Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

Description

The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on industrial engineering and management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise ...