Speeding maintenance performance through time study

Nolia Harudin, Sha'ri Mohd Yusof

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As more than $300 billion spent on plant maintenance and operations, U.S. industry spends as much as 80 percent of this amount to correct chronic failures of machines, systems, and people. With machines and systems becoming increasingly complex, this problem can only worsen, and there is a clear and pressing need to establish comprehensive equipment management programs that incorporate the diverse considerations that are essential to minimizing risk and lead to effective maintenance. In a production or manufacturing environment, good maintenance engineering is necessary for smooth and safe daily plant operations. This research which was conducted at one of the worldwide well known Semi Conductor Company located at Kedah, Malaysia were drive subject to improve the effectiveness of preventive maintenance activities through lean approaches. Tools such time study, spaghetti diagram and FMEA were the main key tools and concept drive throughout this research. Machine Availability is the indicator used to evaluate the improvement expected for all the proposal took in placed. With the team effort and several proposal were addressed, Machine Availability able to be improved about 0.4% which lead to improvement of weekly preventive maintenance from 4 hours on actual observation to only 1 hours as new target. It also indirectly lead to the improvement of monthly preventive maintenance which may only require 4 1/2 hours instead of 5 1/2 hours of previous target. The result is currently practiced and team still looking for further opportunity to improve.

Original languageEnglish
Title of host publicationMachine Design and Manufacturing Engineering III
PublisherTrans Tech Publications Ltd
Pages860-863
Number of pages4
ISBN (Print)9783038351801
DOIs
Publication statusPublished - 01 Jan 2014
Event3rd International Conference on Machine Design and Manufacturing Engineering, ICMDME 2014 - Jeju Island, Korea, Republic of
Duration: 24 May 201425 May 2014

Publication series

NameApplied Mechanics and Materials
Volume607
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Other

Other3rd International Conference on Machine Design and Manufacturing Engineering, ICMDME 2014
CountryKorea, Republic of
CityJeju Island
Period24/05/1425/05/14

Fingerprint

Time and motion study
Preventive maintenance
Availability
Industry

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Harudin, N., & Yusof, S. M. (2014). Speeding maintenance performance through time study. In Machine Design and Manufacturing Engineering III (pp. 860-863). (Applied Mechanics and Materials; Vol. 607). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMM.607.860
Harudin, Nolia ; Yusof, Sha'ri Mohd. / Speeding maintenance performance through time study. Machine Design and Manufacturing Engineering III. Trans Tech Publications Ltd, 2014. pp. 860-863 (Applied Mechanics and Materials).
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Harudin, N & Yusof, SM 2014, Speeding maintenance performance through time study. in Machine Design and Manufacturing Engineering III. Applied Mechanics and Materials, vol. 607, Trans Tech Publications Ltd, pp. 860-863, 3rd International Conference on Machine Design and Manufacturing Engineering, ICMDME 2014, Jeju Island, Korea, Republic of, 24/05/14. https://doi.org/10.4028/www.scientific.net/AMM.607.860

Speeding maintenance performance through time study. / Harudin, Nolia; Yusof, Sha'ri Mohd.

Machine Design and Manufacturing Engineering III. Trans Tech Publications Ltd, 2014. p. 860-863 (Applied Mechanics and Materials; Vol. 607).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Harudin N, Yusof SM. Speeding maintenance performance through time study. In Machine Design and Manufacturing Engineering III. Trans Tech Publications Ltd. 2014. p. 860-863. (Applied Mechanics and Materials). https://doi.org/10.4028/www.scientific.net/AMM.607.860