New overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization

New overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization

Overall Equipment Effectiveness (OEE) is a performance indicator used to monitor the performance of the machine and identify the scope of improvement. It is a combination of the three main factors, availability, performance and quality. However, there are losses invisible in the OEE scale due to the...

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Main Author: Yoong, Sai Sieng
Format: Thesis
Language:English
English
Published: 2018
Subjects:
T Technology (General)
TS Manufactures
Online Access:http://eprints.utem.edu.my/id/eprint/23459/1/New%20Overall%20Equipment%20Effectiveness%20Framework%20Development%20With%20Integration%20Of%20Maynard%20Operation%20Sequence%20Technique%20For%20Losses%20Visualization%20-%20Yoong%20Sai%20Sieng%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/23459/2/New%20overall%20equipment%20effectiveness%20framework%20development%20with%20integration%20of%20maynard%20operation%20sequence%20technique%20for%20losses%20visualization.pdf
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record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
advisor A. Perumal, Puvanasvaran
topic T Technology (General)
TS Manufactures
spellingShingle T Technology (General)
TS Manufactures
Yoong, Sai Sieng
New overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization
description Overall Equipment Effectiveness (OEE) is a performance indicator used to monitor the performance of the machine and identify the scope of improvement. It is a combination of the three main factors, availability, performance and quality. However, there are losses invisible in the OEE scale due to the low visibility. This will cause the optimization of the machine performance hardly achieved. To overcome the issue, modification needs to be done to visualize the losses in a better way. The aim of this study is to develop a new modified OEE framework to visualize the losses in a better way. This can be achieved through three objectives. The first objective is to investigate the integration of the OEE with other tools and modification of the OEE calculation. Second objective is to develop a new OEE framework to integrate MOST into OEE calculation. Third objective is to evaluate the effectiveness of new OEE framework in visualise losses by comparing with general OEE. Literature review is done on the integration of the OEE with other tools and also the modification that has been done on the OEE. It showed the integration of the OEE and modification on the OEE are based on the specific requirements or purposes. Next, two new equations, usability and human factor are developed to integrate the MOST into the OEE calculation. The usability is used to quantify the frequency of the setup and changeover process and human factor is indicates the human losses that occupy the available time of the machine. Finally, new modified OEE level and general OEE level are calculated by the real data taken from a wire bond machine in the studied company. The data is taken for 35 days. The outcome of the study shows the new modified OEE able to visualize the losses and show the area of improvement. Although the OEE level is same for both OEE calculations but the new modified OEE quantify the losses in a better visualization. It is beneficial for the user to identify the area of improvement correctly and monitor the losses easily. It is expected to implement in various kinds of industry to evaluate the application of the new modified OEE.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Yoong, Sai Sieng
author_facet Yoong, Sai Sieng
author_sort Yoong, Sai Sieng
title New overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization
title_short New overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization
title_full New overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization
title_fullStr New overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization
title_full_unstemmed New overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization
title_sort new overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty of Manufacturing Engineering
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/23459/1/New%20Overall%20Equipment%20Effectiveness%20Framework%20Development%20With%20Integration%20Of%20Maynard%20Operation%20Sequence%20Technique%20For%20Losses%20Visualization%20-%20Yoong%20Sai%20Sieng%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/23459/2/New%20overall%20equipment%20effectiveness%20framework%20development%20with%20integration%20of%20maynard%20operation%20sequence%20technique%20for%20losses%20visualization.pdf
_version_ 1747834050246082560
spelling my-utem-ep.234592022-06-13T14:55:12Z New overall equipment effectiveness framework development with integration of maynard operation sequence technique for losses visualization 2018 Yoong, Sai Sieng T Technology (General) TS Manufactures Overall Equipment Effectiveness (OEE) is a performance indicator used to monitor the performance of the machine and identify the scope of improvement. It is a combination of the three main factors, availability, performance and quality. However, there are losses invisible in the OEE scale due to the low visibility. This will cause the optimization of the machine performance hardly achieved. To overcome the issue, modification needs to be done to visualize the losses in a better way. The aim of this study is to develop a new modified OEE framework to visualize the losses in a better way. This can be achieved through three objectives. The first objective is to investigate the integration of the OEE with other tools and modification of the OEE calculation. Second objective is to develop a new OEE framework to integrate MOST into OEE calculation. Third objective is to evaluate the effectiveness of new OEE framework in visualise losses by comparing with general OEE. Literature review is done on the integration of the OEE with other tools and also the modification that has been done on the OEE. It showed the integration of the OEE and modification on the OEE are based on the specific requirements or purposes. Next, two new equations, usability and human factor are developed to integrate the MOST into the OEE calculation. The usability is used to quantify the frequency of the setup and changeover process and human factor is indicates the human losses that occupy the available time of the machine. Finally, new modified OEE level and general OEE level are calculated by the real data taken from a wire bond machine in the studied company. The data is taken for 35 days. The outcome of the study shows the new modified OEE able to visualize the losses and show the area of improvement. Although the OEE level is same for both OEE calculations but the new modified OEE quantify the losses in a better visualization. It is beneficial for the user to identify the area of improvement correctly and monitor the losses easily. It is expected to implement in various kinds of industry to evaluate the application of the new modified OEE. UTeM 2018 Thesis http://eprints.utem.edu.my/id/eprint/23459/ http://eprints.utem.edu.my/id/eprint/23459/1/New%20Overall%20Equipment%20Effectiveness%20Framework%20Development%20With%20Integration%20Of%20Maynard%20Operation%20Sequence%20Technique%20For%20Losses%20Visualization%20-%20Yoong%20Sai%20Sieng%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/23459/2/New%20overall%20equipment%20effectiveness%20framework%20development%20with%20integration%20of%20maynard%20operation%20sequence%20technique%20for%20losses%20visualization.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=112835&query_desc=kw%2Cwrdl%3A%20New%20overall%20equipment%20effectiveness%20framework%20development%20with%20integration%20of%20maynard%20operation%20sequence%20technique%20for%20losses%20visualization mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering A. Perumal, Puvanasvaran 1. Abdul Talib, B. and Aliza, A., 2012. An Impact Time Motion Study in the Automation Process. Journal of Noverl Applied Sciences, 1(1), pp. 17-24. 2. Agrawal, S., Gautam, A., Chauhan, D. K., Tiwari, L. M., and Kapoor, S., 2012. A Flow Shop Scheduling Problem with Transportation Time and Separated Setup Time of Jobs. Procedia Engineering, 38, pp. 1327-1332. 3. Al-Saleh, K. S., 2010. Productivity Improvement of A Motor Vehicle Inspection Station Using Motion and Time Study Techniques. Journal of King Saud University – Engineering Sciences, 23, pp. 33-41. 4. Anil, S. B., and Gandhinathan, R., 2008. A Proposal: Evaluation of OEE and Impact of Six Big Losses on Equipment Earning Capacity. International Journal Process Management and Benchmarking, 2(3), pp. 234-248. 5. Ankit, P. V., and Ashutosh, K., 2015. Productivity Improvement of Manufacturing Process of Diesel Engine by Time and Motion Study Method (M.O.S.T. Technique). International Journal of Advance Engineering and Research Development, 2(6), pp. 577-584. 6. Anuja, P., Deshpande, V. S., and Gunjar, S., 2016. Application of Maynard Operation Sequence Technique (MOST) – A Case Study. International Journal of Innovations in Engineering and Technology, 6(3), pp. 39-44.127 7. Anvari, F., Edwards, R., and Starr, A., 2010. Evaluation of Overall Equipment Effectiveness Based on Market. Journal of Quality in Maintenance Engineering, 16(3), pp. 256-270. 8. Azizi, A., 2015. Evaluation Improvement of Production Productivity Performance Using Statistical Process Control, Overall Equipment Effectiveness, and Autonomous Maintenance. 2nd International Materials, Industrial, and Manufacturing Engineering Conference, MIMEC2015, 4-6 February 2015, Bali, Indonesia, pp. 186-190. 9. Benjamin, S. J., Marathamuthu, M. S., and Murugaiah, U., 2015. The Use of 5-WHYs Technique to Eliminate OEE‟s Speed Loss in A Manufacturing Firm. Journal of Quality Maintenance Engineering, 21, pp. 419-435. 10. Bokrantz, J., Skoogh, A., Ylipaa, T., and Stahre, J., 2016. 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