Equipment Capacity Loss Management System For Multi-product Re-entrant Processes

碩士 === 國立清華大學 === 工業工程與工程管理學系 === 95 === Equipment down impacts production capability and produces financial losses. In particular, in semiconductor manufacturing where equipment cost constitutes approximately three quarters of the total manufacturing cost, the ability to estimate the impact of equi...

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Main Author: 呂哲儀
Other Authors: D. Daniel Sheu
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/09864342168226532612
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spelling ndltd-TW-095NTHU50310892015-10-13T16:51:15Z http://ndltd.ncl.edu.tw/handle/09864342168226532612 Equipment Capacity Loss Management System For Multi-product Re-entrant Processes 多產品迴流製程之設備產能損失管理系統 呂哲儀 碩士 國立清華大學 工業工程與工程管理學系 95 Equipment down impacts production capability and produces financial losses. In particular, in semiconductor manufacturing where equipment cost constitutes approximately three quarters of the total manufacturing cost, the ability to estimate the impact of equipment down and enable proper equipment management decisions has significant benefits for manufacturing efficiency. This research developed a model and a decision support system to estimate equipment capacity loss for multi-product re-entrant manufacturing processes. The model can also be used in straight-line and single-product production situation with simplified parameter inputs. Contributions of this research include: 1.Providing a means to estimate the overall capacity loss by a given machine down whether it is unexpected or planned. The impacts and the determining factors for various scenarios of capacity losses can be calculated so that maintenance and repair schedule can be made more effectively. 2.Providing a decision-making process to enable proper manipulations of production parameters toward minimum machine capacity loss. D. Daniel Sheu 許棟樑 2007 學位論文 ; thesis 97 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立清華大學 === 工業工程與工程管理學系 === 95 === Equipment down impacts production capability and produces financial losses. In particular, in semiconductor manufacturing where equipment cost constitutes approximately three quarters of the total manufacturing cost, the ability to estimate the impact of equipment down and enable proper equipment management decisions has significant benefits for manufacturing efficiency. This research developed a model and a decision support system to estimate equipment capacity loss for multi-product re-entrant manufacturing processes. The model can also be used in straight-line and single-product production situation with simplified parameter inputs. Contributions of this research include: 1.Providing a means to estimate the overall capacity loss by a given machine down whether it is unexpected or planned. The impacts and the determining factors for various scenarios of capacity losses can be calculated so that maintenance and repair schedule can be made more effectively. 2.Providing a decision-making process to enable proper manipulations of production parameters toward minimum machine capacity loss.
author2 D. Daniel Sheu
author_facet D. Daniel Sheu
呂哲儀
author 呂哲儀
spellingShingle 呂哲儀
Equipment Capacity Loss Management System For Multi-product Re-entrant Processes
author_sort 呂哲儀
title Equipment Capacity Loss Management System For Multi-product Re-entrant Processes
title_short Equipment Capacity Loss Management System For Multi-product Re-entrant Processes
title_full Equipment Capacity Loss Management System For Multi-product Re-entrant Processes
title_fullStr Equipment Capacity Loss Management System For Multi-product Re-entrant Processes
title_full_unstemmed Equipment Capacity Loss Management System For Multi-product Re-entrant Processes
title_sort equipment capacity loss management system for multi-product re-entrant processes
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/09864342168226532612
work_keys_str_mv AT lǚzhéyí equipmentcapacitylossmanagementsystemformultiproductreentrantprocesses
AT lǚzhéyí duōchǎnpǐnhuíliúzhìchéngzhīshèbèichǎnnéngsǔnshīguǎnlǐxìtǒng
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