Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd.

Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd.

Overall Equipment Effectiveness (OEE) is a powerful metric technique of manufacturing performance incorporating measures of the utilization, yield and efficiency of a process, machine or manufacturing line. It considers all important measures of productivity. A study was carried out to improve the e...

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Main Author: Nur Syuhadah, Abdul Wahab
Format: Undergraduates Project Papers
Language:English
Published: 2017
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/25647/
http://umpir.ump.edu.my/id/eprint/25647/
http://umpir.ump.edu.my/id/eprint/25647/1/Overall%20equipment%20effectiveness%20analysis%20of%20power%20magnetic%20inductor%20production%20line.pdf
id ump-25647
recordtype eprints
spelling ump-256472019-08-16T03:30:11Z http://umpir.ump.edu.my/id/eprint/25647/ Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd. Nur Syuhadah, Abdul Wahab TS Manufactures Overall Equipment Effectiveness (OEE) is a powerful metric technique of manufacturing performance incorporating measures of the utilization, yield and efficiency of a process, machine or manufacturing line. It considers all important measures of productivity. A study was carried out to improve the existing OEE at BI Technologies SDN BHD by reduce unplanned downtime losses on equipment failures and tooling damage to maximize the productivity. Before obtaining the data to calculate the existing OEE value, the product or process that have highest defect need to be identified which is HA00-05587LFVT at Power Magnetic Inductor area. The methods used to analyze these various causes were Cause and Effect diagram, to find the cause affecting the problem that occurs on the production line, Pareto Diagram to find the critical problem that affect the production line, control chart to find the out of control point and 5W1H questions to proposed the recommendation. After knowing the causes of various activities that leads to high downtime rate, then recommendations for OEE improvements from existing OEE which is 71.33% to 79.55% for the second revised of OEE. Thus, from the existing to world class ranking OEE there are improvement by 11.52%. For the recommendation BI Technologies should implemented and monitor of planned scheduled for machine maintenance to decrease the downtime rate, so the production yield target can achieve. 2017-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25647/1/Overall%20equipment%20effectiveness%20analysis%20of%20power%20magnetic%20inductor%20production%20line.pdf Nur Syuhadah, Abdul Wahab (2017) Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:101021&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TS Manufactures
spellingShingle TS Manufactures
Nur Syuhadah, Abdul Wahab
Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd.
description Overall Equipment Effectiveness (OEE) is a powerful metric technique of manufacturing performance incorporating measures of the utilization, yield and efficiency of a process, machine or manufacturing line. It considers all important measures of productivity. A study was carried out to improve the existing OEE at BI Technologies SDN BHD by reduce unplanned downtime losses on equipment failures and tooling damage to maximize the productivity. Before obtaining the data to calculate the existing OEE value, the product or process that have highest defect need to be identified which is HA00-05587LFVT at Power Magnetic Inductor area. The methods used to analyze these various causes were Cause and Effect diagram, to find the cause affecting the problem that occurs on the production line, Pareto Diagram to find the critical problem that affect the production line, control chart to find the out of control point and 5W1H questions to proposed the recommendation. After knowing the causes of various activities that leads to high downtime rate, then recommendations for OEE improvements from existing OEE which is 71.33% to 79.55% for the second revised of OEE. Thus, from the existing to world class ranking OEE there are improvement by 11.52%. For the recommendation BI Technologies should implemented and monitor of planned scheduled for machine maintenance to decrease the downtime rate, so the production yield target can achieve.
format Undergraduates Project Papers
author Nur Syuhadah, Abdul Wahab
author_facet Nur Syuhadah, Abdul Wahab
author_sort Nur Syuhadah, Abdul Wahab
title Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd.
title_short Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd.
title_full Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd.
title_fullStr Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd.
title_full_unstemmed Overall equipment effectiveness analysis of power magnetic inductor production line at BI technologies sdn. bhd.
title_sort overall equipment effectiveness analysis of power magnetic inductor production line at bi technologies sdn. bhd.
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/25647/
http://umpir.ump.edu.my/id/eprint/25647/
http://umpir.ump.edu.my/id/eprint/25647/1/Overall%20equipment%20effectiveness%20analysis%20of%20power%20magnetic%20inductor%20production%20line.pdf
first_indexed 2023-09-18T22:39:30Z
last_indexed 2023-09-18T22:39:30Z
_version_ 1777416819731070976

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