OPERATION EXCELLENCE: Journal of Applied Industrial Engineering
Vol 11, No 3, (2019): OE November 2019

Model pengendalian kualitas produk cover bottom (electronic part) menggunakan metode lean six sigma

Dendhy Indra Wijaya (Bina Nusantara University)
Fauzi Khair (Bina Nusantara University)



Article Info

Publish Date
10 Dec 2019

Abstract

Company shall give full attention to the quality of the products. In the electronics industry, quality control is the key to gain the loyalty of the customer. This is the basis for making improvement at the production activities, especially in controlling the quality in order to reduce the problem of scratch on the cover bottom using the six sigma DMAIC method. The purpose of this research is to analyze the factor that will cause defect to the product. The aimed target is to reduce the lower problem of defective products cover bottom 50%, it also to get the best result where previous defective products amounted to 8183 ppm has downed to 291 ppm and the level of the previous sigma 3,89σ rose to 4,94σ, the target is 4,14σ. This was result an exceed achievement from the Company’s target more than 50%. Six Sigma is the most effective tools at the present time, this will affect to eliminate defects, cut the time of making the product, eliminate unnecessary costs and the principal concept of science to support the sustainability of business which is focused on improving quality and customer satisfaction. The key success of improving quality depends on the ability to identify and solve the problems. This application may be useful and align with the company's philosophy, so that it can be expected to get the final outcome of the company.

Copyrights © 2019






Journal Info

Abbrev

oe

Publisher

Subject

Decision Sciences, Operations Research & Management

Description

The aim of Operations Excellence: Journal of Applied Industrial Engineering (OE Journal) is to publish theoretical and empirical articles that are aimed to contrast and extend existing theories, and build new theories that contribute to advance our understanding of phenomena related with industrial ...