Date of Award

12-2015

Culminating Project Type

Starred Paper

Degree Name

Engineering: M.E.M

Department

Mechanical and Manufacturing Engineering

College

College of Science and Engineering

First Advisor

Hiral Shah

Second Advisor

Ben Baliga

Third Advisor

Balasubramanian Kasi

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

laser ablate fine wire

Abstract

The project demonstrates the empirical application of Six Sigma and DMAIC to reduce product variation and yield loss within an engineered medical components company. This study followed the DMAIC methodology to investigate root causes and provided solution to reduce these defects. The analysis indicated the current sensitivity setting for the machine was set to tight. After adjustment, while machine kept the same production capacity, the yield loss was reduced from 10% to 2%. Meanwhile, a DOE study analyzed factors which caused product variation and delivered optima setting to reduce noises and predicted the optima output.

Comments/Acknowledgements

I would like to take this opportunity to express my very great appreciation to my advisor Dr. Hiral Shah (Professor of Engineering Management), Dr. Ben Baliga (Director of Engineering Management), and Dr. Balsy Kasi (Professor of Engineering Management) for their support and guidance throughout my Capstone Project.

Also I am particularly grateful for the assistance with the collection of my data given by the following companies: Shawn Noble (Engineering Manager), Eric Bossert (Process Engineer), Tiffany Johnson (Quality Technician), Tim Dahl (Engineering Technician), Nick Kinman, (CI Specialist), and Jason Seubert (Production Leader).

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