Automated quality control and data collection system
Date of Publication
2004
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Manufacturing Engineering and Management
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Honor/Award
Awarded as best thesis, 2004
Thesis Adviser
Elmer Jose P. Dadios
Defense Panel Chair
Lord Kenneth M. Pinpin
Defense Panel Member
Giovanni L. Fabian
Marty Marx Teng
Abstract/Summary
Our thesis deals with automating the quality control process of Solid Parts Corporation for one of their products, the Visteon-Ford air intake shafts. They are currently applying a manual process for their quality inspection for the said product. Their manual process requires the use of three different tools to be able to measure the five required dimensions of the shaft to be inspected. This results in a long process time, since shafts are inspected one at a time by a single worker.
Our thesis incorporates mechanical, electronics, and programming concepts in building the automated inspection device. Our device is able to measure all required dimensions, and it also has the capability to store readings acquired into a database and generate a report when needed. Inspection time was reduced more than 50%, based on time and motion study conducted on both the manual and automated process. We were able to achieve 100% accuracy and 100% reliability of our device based on results from experiments done.
Having excellent results and evident advantages, the automated quality control and data collection system would greatly improve productivity and efficiency of the quality control process of Solid Parts Corporation.
Abstract Format
html
Language
English
Format
Accession Number
TU15169
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
1 v. (various foliations) : ill. ; 28 cm.
Keywords
Quality control--Automation; Automatic data collection systems
Recommended Citation
Bautista, M., Goyena, H., Ocampo, A., Ongyanco, D., & Ramos, M. (2004). Automated quality control and data collection system. Retrieved from https://animorepository.dlsu.edu.ph/etd_honors/300
