Title: | Total productive maintenance | Language: | English | Authors: | Bartko, Pavol | Qualification level: | Diploma | Advisor: | Kopacek, Peter | Issue Date: | 2011 | Number of Pages: | 82 | Qualification level: | Diploma | Abstract: | The success and effectiveness of modern lean manufacturing concepts requires robust and higly reliable machinery. In this thesis I will compare the performance of a manufacturing system under different maintenance polices. The main focus of this work is to compare traditional time based maintenance policies with reliability based predictive maintenance policies that utilize real time sensory information to assist in decisions regarding maintenance management and component replacement. In this thesis I will demonstrate the benefits of using sensor based predictive maintenance to predict failure. |
URI: | https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-47236 http://hdl.handle.net/20.500.12708/9671 |
Library ID: | AC08863446 | Organisation: | E017 - Weiterbildungszentrum der TU Wien | Publication Type: | Thesis Hochschulschrift |
Appears in Collections: | Thesis |
Files in this item:
File | Description | Size | Format | |
---|---|---|---|---|
Total productive maintenance.pdf | 946.3 kB | Adobe PDF | ![]() View/Open |
Page view(s)
13
checked on Feb 18, 2021
Download(s)
164
checked on Feb 18, 2021

Google ScholarTM
Check
Items in reposiTUm are protected by copyright, with all rights reserved, unless otherwise indicated.