Investigation of Cost Estimates on Semiconductor Hookup Construction

碩士 === 國立交通大學 === 工學院碩士在職專班工程技術與管理組 === 98 === Semiconductor hookup construction is the work for connecting the facility system and the tools of process module, such as Litho, Diffusion, Thin film, Wet etching, Dry etching, CMP, Integration, Implant module of semiconductor plant. And also one of...

Full description

Bibliographic Details
Main Authors: Wen, Chao-Pao, 温兆寶
Other Authors: Wang, Wei-Chih
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/42217908521905655086
id ndltd-TW-098NCTU5027032
record_format oai_dc
spelling ndltd-TW-098NCTU50270322016-04-18T04:21:30Z http://ndltd.ncl.edu.tw/handle/42217908521905655086 Investigation of Cost Estimates on Semiconductor Hookup Construction 半導體裝機配管工程成本估價模式之探討 Wen, Chao-Pao 温兆寶 碩士 國立交通大學 工學院碩士在職專班工程技術與管理組 98 Semiconductor hookup construction is the work for connecting the facility system and the tools of process module, such as Litho, Diffusion, Thin film, Wet etching, Dry etching, CMP, Integration, Implant module of semiconductor plant. And also one of the most critical construction works deeply influencing the capacity and yield of semiconductor plant. Practically the cost of semiconductor hookup construction is estimated mostly according to the experiences and the historic data. However, the types and quantities of the process tools used very with different production of each semiconductor plant. Therefore the common historical statistics have a problem of missing values which affects the accuracy of cost estimated. As of result, The AI system is applicable for data mining. This research establishes the characteristic parameters using 268 sets of actual cost data, including 11 working items (such as exhaust, bulk gas, specialty gas, vacuum line, process cooling water, foundation, chemical, ultra pure water, drain, power, low vacuum). It builds up a cost estimating model through the learning mechanism of the neuro-fuzzy system in order to improve precision for estimating the cost of the semiconductor hookup construction. This research use fuzzy adaptive leaning control network and fast messy genetic algorithms to estimate. The average precise rate is 78.8% ~ 95.7%, the original estimate method (arithmetic method of average) promotes 9.7% to 33.3%. This research at the stage of planning in the semiconductor hookup project, obtains the precise cost estimating initially. It may useful for the following researcher to refer. Deeply hope for the facility engineer of semiconductor and the Engineering firm could put into the following related research. Wang, Wei-Chih 王維志 2010 學位論文 ; thesis 96 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 工學院碩士在職專班工程技術與管理組 === 98 === Semiconductor hookup construction is the work for connecting the facility system and the tools of process module, such as Litho, Diffusion, Thin film, Wet etching, Dry etching, CMP, Integration, Implant module of semiconductor plant. And also one of the most critical construction works deeply influencing the capacity and yield of semiconductor plant. Practically the cost of semiconductor hookup construction is estimated mostly according to the experiences and the historic data. However, the types and quantities of the process tools used very with different production of each semiconductor plant. Therefore the common historical statistics have a problem of missing values which affects the accuracy of cost estimated. As of result, The AI system is applicable for data mining. This research establishes the characteristic parameters using 268 sets of actual cost data, including 11 working items (such as exhaust, bulk gas, specialty gas, vacuum line, process cooling water, foundation, chemical, ultra pure water, drain, power, low vacuum). It builds up a cost estimating model through the learning mechanism of the neuro-fuzzy system in order to improve precision for estimating the cost of the semiconductor hookup construction. This research use fuzzy adaptive leaning control network and fast messy genetic algorithms to estimate. The average precise rate is 78.8% ~ 95.7%, the original estimate method (arithmetic method of average) promotes 9.7% to 33.3%. This research at the stage of planning in the semiconductor hookup project, obtains the precise cost estimating initially. It may useful for the following researcher to refer. Deeply hope for the facility engineer of semiconductor and the Engineering firm could put into the following related research.
author2 Wang, Wei-Chih
author_facet Wang, Wei-Chih
Wen, Chao-Pao
温兆寶
author Wen, Chao-Pao
温兆寶
spellingShingle Wen, Chao-Pao
温兆寶
Investigation of Cost Estimates on Semiconductor Hookup Construction
author_sort Wen, Chao-Pao
title Investigation of Cost Estimates on Semiconductor Hookup Construction
title_short Investigation of Cost Estimates on Semiconductor Hookup Construction
title_full Investigation of Cost Estimates on Semiconductor Hookup Construction
title_fullStr Investigation of Cost Estimates on Semiconductor Hookup Construction
title_full_unstemmed Investigation of Cost Estimates on Semiconductor Hookup Construction
title_sort investigation of cost estimates on semiconductor hookup construction
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/42217908521905655086
work_keys_str_mv AT wenchaopao investigationofcostestimatesonsemiconductorhookupconstruction
AT wēnzhàobǎo investigationofcostestimatesonsemiconductorhookupconstruction
AT wenchaopao bàndǎotǐzhuāngjīpèiguǎngōngchéngchéngběngūjiàmóshìzhītàntǎo
AT wēnzhàobǎo bàndǎotǐzhuāngjīpèiguǎngōngchéngchéngběngūjiàmóshìzhītàntǎo
_version_ 1718226123940167680