Thesis-2005-Shahbaz.pdf (4.43 MB)
Product and manufacturing process improvement using data mining
thesis
posted on 2018-09-12, 09:54 authored by Muhammad ShahbazIn recent years manufacturing enterprises are increasingly automated and collect and
store large quantities of data relating to their products and production systems. This
electronically stored data can hold both process measures and hidden information,
which can be very important when discovered. Knowledge discovery in databases
provides the tools to explore historic or current data to reveal many kinds of
previously unknown knowledge from these databases.
Manufacturing enterprises data is complex and may include information relating to
design, process improvement and limitations, manufacturing machines and tools, and
product quality. This thesis focuses on issues relating to information extraction from
engineering databases in general and from manufacturing processes in particular using
their historical databases. It also addresses the important issue of how the process or
the design of the product can be improved based on such information. [Continues.]
Funding
Loughborough University, Wolfson School of Mechanical and Manufacturing Engineering (scholarship).
History
School
- Mechanical, Electrical and Manufacturing Engineering
Publisher
© Muhammad ShahbazPublisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2005Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.Language
- en