Industrial robotics in the lean enterprise : a case study in semi-conductor company

Industrial robotics replaced human workers in almost all field due to their abilities in multitasking, flexibility and configurability in any position they are involved in. However, implementing industrial robotics is challenging due to their high cost, expert handling and complexity. The case study...

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Main Author: Safady, Hammam M. H.
Format: Thesis
Language:English
English
Published: 2017
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/22403/1/Industrial%20Robotics%20In%20The%20Lean%20Enterprise%20%20A%20Case%20Study%20In%20Semi-Conductor%20Company%20-%20Hammam%20M.%20H.%20Safady%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/22403/2/Industrial%20robotics%20in%20the%20lean%20enterprise%20%20a%20case%20study%20in%20semi-conductor%20company.pdf
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id my-utem-ep.22403
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
Safady, Hammam M. H.
Industrial robotics in the lean enterprise : a case study in semi-conductor company
description Industrial robotics replaced human workers in almost all field due to their abilities in multitasking, flexibility and configurability in any position they are involved in. However, implementing industrial robotics is challenging due to their high cost, expert handling and complexity. The case study determined the industrial robotics as a desirable tool in lean enterprise and through studying these areas availability, ease of use, standardization and visualization it shows the current mapping of the industrial robotics. Performance measurement of the industrial robotics is determined using the QCDAC method or (quality, cost, delivery, accountability and continual improvement). In terms of performance identification and ranking interpretive structural modelling (ISM) methodology is used to identify the most affected variable of the model. Cross tabulation showed the intersection result between the usage of industrial robotics and their performance to clarify the industrial robotics performance in these areas in which the industrial robotics was fit with and compatible with lean enterprise. The results showed that introducing the industrial robotics into lean enterprise will support it in terms of quality improvement, cost reduction and efficiency which lead the company to become a world class manufacturer.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Safady, Hammam M. H.
author_facet Safady, Hammam M. H.
author_sort Safady, Hammam M. H.
title Industrial robotics in the lean enterprise : a case study in semi-conductor company
title_short Industrial robotics in the lean enterprise : a case study in semi-conductor company
title_full Industrial robotics in the lean enterprise : a case study in semi-conductor company
title_fullStr Industrial robotics in the lean enterprise : a case study in semi-conductor company
title_full_unstemmed Industrial robotics in the lean enterprise : a case study in semi-conductor company
title_sort industrial robotics in the lean enterprise : a case study in semi-conductor company
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty Of Manufacturing Engineering
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/22403/1/Industrial%20Robotics%20In%20The%20Lean%20Enterprise%20%20A%20Case%20Study%20In%20Semi-Conductor%20Company%20-%20Hammam%20M.%20H.%20Safady%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/22403/2/Industrial%20robotics%20in%20the%20lean%20enterprise%20%20a%20case%20study%20in%20semi-conductor%20company.pdf
_version_ 1747834017744420864
spelling my-utem-ep.224032022-06-13T11:06:48Z Industrial robotics in the lean enterprise : a case study in semi-conductor company 2017 Safady, Hammam M. H. T Technology (General) TS Manufactures Industrial robotics replaced human workers in almost all field due to their abilities in multitasking, flexibility and configurability in any position they are involved in. However, implementing industrial robotics is challenging due to their high cost, expert handling and complexity. The case study determined the industrial robotics as a desirable tool in lean enterprise and through studying these areas availability, ease of use, standardization and visualization it shows the current mapping of the industrial robotics. Performance measurement of the industrial robotics is determined using the QCDAC method or (quality, cost, delivery, accountability and continual improvement). In terms of performance identification and ranking interpretive structural modelling (ISM) methodology is used to identify the most affected variable of the model. Cross tabulation showed the intersection result between the usage of industrial robotics and their performance to clarify the industrial robotics performance in these areas in which the industrial robotics was fit with and compatible with lean enterprise. The results showed that introducing the industrial robotics into lean enterprise will support it in terms of quality improvement, cost reduction and efficiency which lead the company to become a world class manufacturer. 2017 Thesis http://eprints.utem.edu.my/id/eprint/22403/ http://eprints.utem.edu.my/id/eprint/22403/1/Industrial%20Robotics%20In%20The%20Lean%20Enterprise%20%20A%20Case%20Study%20In%20Semi-Conductor%20Company%20-%20Hammam%20M.%20H.%20Safady%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/22403/2/Industrial%20robotics%20in%20the%20lean%20enterprise%20%20a%20case%20study%20in%20semi-conductor%20company.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=108978 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Manufacturing Engineering A. Perumal, Puvanasvaran 1. Abdullah, F., 2003. Lean Manufacturing tools and techniques in the process industry with a focus on steel. University of Pittsburgh. 2. 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