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University of Illinois at Urbana-Champaign

A Fault Classification System for Quality and Productivity Improvement in Continuous Manufacturing Processes

Abstract

dc:description

The manufacturing industry has recognized the need to improve the quality and productivity of its products and processes in order to increase its competitive position. In order to establish a high quality product companies install "quality systems" to improve product and process quality through intelligent manipulation and design of processes and resources over time. The design of quality control (QC) windows is a major step in the operation of an integrated quality system. A QC window covers a portion of the process where elements of the process transfer function are monitored and evaluated over time.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Dooley, Kevin John
Contributors dc:contributor
  • Kapoor, Shiv G.

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8803023
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/70147

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Dooley, Kevin John. A Fault Classification System for Quality and Productivity Improvement in Continuous Manufacturing Processes. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/70147