A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance
In Indonesia, companies that have correctly implement TPM and LM are still very limited. They also implement TPM without being integrated with LM. To look beyond their implementation and their impact to manufacturing performance, a research through survey method have been conducted. The 250 que...
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| Format: | Article |
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Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
2019
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| Online Access: | http://irep.iium.edu.my/12852/ http://irep.iium.edu.my/12852/ http://irep.iium.edu.my/12852/1/12852_A%20Study%20of%20Total%20Productive%20Maintenance.pdf http://irep.iium.edu.my/12852/7/12852_A%20study%20of%20total%20productive%20maintenance_scopus.pdf |
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iium-12852 |
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eprints |
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iium-128522019-11-24T11:15:44Z http://irep.iium.edu.my/12852/ A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance Prabowo, Herry Agung Adesta, Erry Yulian Triblas T Technology (General) TJ227 Machine design and drawing In Indonesia, companies that have correctly implement TPM and LM are still very limited. They also implement TPM without being integrated with LM. To look beyond their implementation and their impact to manufacturing performance, a research through survey method have been conducted. The 250 questionnaires have been sent to 125 manufacturing companies located in Jakarta, Bekasi, Tangerang, Bandung and Lampung. 105 have been returned but only 91 questionnaires suitable for further processing using Structural Equation Modelling (SEM) with Smart-PLS as a programming tool. Almost all of 8 Pillars of TPM were considered valid, reliable and significant to represent the TPM implementation in Indonesia. All of 8 LM tools were also considered valid, reliable and significant. TPM have a strong correlation with LM and a moderate correlation with MP. LM also has moderate correlation with MP. TPM pillars and LM tools together affect MP as much as 60.9% (R2 = 0.609). It also means that 60.9% variability of MP can be explained by TPM and LM while 39.1% can be explained by others Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) 2019 Article PeerReviewed application/pdf en http://irep.iium.edu.my/12852/1/12852_A%20Study%20of%20Total%20Productive%20Maintenance.pdf application/pdf en http://irep.iium.edu.my/12852/7/12852_A%20study%20of%20total%20productive%20maintenance_scopus.pdf Prabowo, Herry Agung and Adesta, Erry Yulian Triblas (2019) A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance. International Journal of Recent Technology and Engineering (IJRTE), 7 (6S). pp. 39-43. ISSN 2277-3878 https://www.ijrte.org/wp-content/uploads/papers/v7i6s/F02110376S19.pdf |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English |
| topic |
T Technology (General) TJ227 Machine design and drawing |
| spellingShingle |
T Technology (General) TJ227 Machine design and drawing Prabowo, Herry Agung Adesta, Erry Yulian Triblas A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance |
| description |
In Indonesia, companies that have correctly
implement TPM and LM are still very limited. They also
implement TPM without being integrated with LM. To look
beyond their implementation and their impact to manufacturing
performance, a research through survey method have been
conducted. The 250 questionnaires have been sent to 125
manufacturing companies located in Jakarta, Bekasi, Tangerang,
Bandung and Lampung. 105 have been returned but only 91
questionnaires suitable for further processing using Structural
Equation Modelling (SEM) with Smart-PLS as a programming
tool. Almost all of 8 Pillars of TPM were considered valid, reliable
and significant to represent the TPM implementation in
Indonesia. All of 8 LM tools were also considered valid, reliable
and significant. TPM have a strong correlation with LM and a
moderate correlation with MP. LM also has moderate correlation
with MP. TPM pillars and LM tools together affect MP as much
as 60.9% (R2 = 0.609). It also means that 60.9% variability of MP
can be explained by TPM and LM while 39.1% can be explained
by others |
| format |
Article |
| author |
Prabowo, Herry Agung Adesta, Erry Yulian Triblas |
| author_facet |
Prabowo, Herry Agung Adesta, Erry Yulian Triblas |
| author_sort |
Prabowo, Herry Agung |
| title |
A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance |
| title_short |
A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance |
| title_full |
A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance |
| title_fullStr |
A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance |
| title_full_unstemmed |
A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance |
| title_sort |
study of total productive maintenance (tpm) and lean manufacturing tools and their impact on manufacturing performance |
| publisher |
Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) |
| publishDate |
2019 |
| url |
http://irep.iium.edu.my/12852/ http://irep.iium.edu.my/12852/ http://irep.iium.edu.my/12852/1/12852_A%20Study%20of%20Total%20Productive%20Maintenance.pdf http://irep.iium.edu.my/12852/7/12852_A%20study%20of%20total%20productive%20maintenance_scopus.pdf |
| first_indexed |
2023-09-18T20:22:00Z |
| last_indexed |
2023-09-18T20:22:00Z |
| _version_ |
1777408168594243584 |