Improving OEE with automatic data acquisition and analysis of total downtime losses

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...

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Main Author: Shah Parshva Dikulbhai
Other Authors: Wang Dan Wei
Format: Theses and Dissertations
Language:English
Published: 2015
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Online Access:http://hdl.handle.net/10356/65061
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-650612023-07-04T15:47:15Z Improving OEE with automatic data acquisition and analysis of total downtime losses Shah Parshva Dikulbhai Wang Dan Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. Master of Science (Computer Control and Automation) 2015-06-11T06:58:54Z 2015-06-11T06:58:54Z 2014 2014 Thesis http://hdl.handle.net/10356/65061 en 69 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Shah Parshva Dikulbhai
Improving OEE with automatic data acquisition and analysis of total downtime losses
description 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.
author2 Wang Dan Wei
author_facet Wang Dan Wei
Shah Parshva Dikulbhai
format Theses and Dissertations
author Shah Parshva Dikulbhai
author_sort Shah Parshva Dikulbhai
title Improving OEE with automatic data acquisition and analysis of total downtime losses
title_short Improving OEE with automatic data acquisition and analysis of total downtime losses
title_full Improving OEE with automatic data acquisition and analysis of total downtime losses
title_fullStr Improving OEE with automatic data acquisition and analysis of total downtime losses
title_full_unstemmed Improving OEE with automatic data acquisition and analysis of total downtime losses
title_sort improving oee with automatic data acquisition and analysis of total downtime losses
publishDate 2015
url http://hdl.handle.net/10356/65061
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