Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/65061
Title: Improving OEE with automatic data acquisition and analysis of total downtime losses
Authors: Shah Parshva Dikulbhai
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2014
Abstract: Data acquisition of various Downtime Reasons in OEE has always been a major issue. The age-old manual production reports provided few detail s on productivity and availability. It provided no details on how or why the production line did not meet the OEE benchmark s. Sometimes the reports for each shift are subjective and arc often conflicting. They also furnish incomplete information on the reasons for lost avail ability. Hence there was a need to devise a new method for the data acquisition that was both competent and efficient in improving OEE metric. In the scope of the current project, the issue discussed above is tackled with the help of automatic data acquisition of the downtime reason codes. A GUI is developed on an HMI featuring various downtime reason codes. The HMI will be mounted in the field. As soon as the machine is stopped, the operator is expected to press the appropriate reason code. The HMI will then automatically log the timestamp and the reason codes each time they are pressed and also create a database. The database will be automatically logged on to the thumb drive that is attached to the HMl. The data collected in the database is to be analysed in order to reduce downtime and improve OEE. In this project, various methods of analysing data such as the Fish bone Analysis and What-If analysis arc carried out.
URI: http://hdl.handle.net/10356/65061
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
SHAH_PARSHVA_DIKULBHAI_2014.pdf
  Restricted Access
5.94 MBAdobe PDFView/Open

Page view(s)

397
Updated on Jun 17, 2024

Download(s)

13
Updated on Jun 17, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.