Applying six sigma management techniques to Improve the workflow of semiconductor material analysis-Using company A as an example

碩士 === 明新科技大學 === 工業工程與管理系碩士班 === 107 === Semiconductors dominate the global industrial economy. Semiconductors have always played the role of technology to achieve and promote the continuous development of the economy. The development of technology in semiconductor industry is also regarded as one...

Full description

Bibliographic Details
Main Authors: LIN, YA-CHI, 林雅祺
Other Authors: PENG, TING-KUO
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/52ap7x
id ndltd-TW-106MHIT0117005
record_format oai_dc
spelling ndltd-TW-106MHIT01170052019-10-07T03:38:50Z http://ndltd.ncl.edu.tw/handle/52ap7x Applying six sigma management techniques to Improve the workflow of semiconductor material analysis-Using company A as an example 以六標準差管理手法 改善半導體材料分析之作業流程 -以 A 公司為例 LIN, YA-CHI 林雅祺 碩士 明新科技大學 工業工程與管理系碩士班 107 Semiconductors dominate the global industrial economy. Semiconductors have always played the role of technology to achieve and promote the continuous development of the economy. The development of technology in semiconductor industry is also regarded as one of the indicators of national modernization. With the advent of the AI era, intelligent and artificial intelligence related products have emerged one after another, the IC industry is booming. In order to pursue the stability of advanced processes, materials must undergo repeated analysis and testing, which has led to a significant increase in demand for material analysis and verification testing. The high-standard professional analysis talents and the cost of testing equipment force the industry to detect and analyze the external OEMs, which makes the material analysis industry enter the capacity. Material analysts face complex and diverse customer needs, and the stability of their internal operations and the flexibility of staff scheduling have become the key to achieving customer delivery and an important consideration for customers to rely on as long-term partners. This study is based on the Six Sigma DMAIC management method. The semiconductor material analysis workflow is used as a research case. Through the Six Sigma management method and other phased discussions, the key factors affecting the production capacity in the process are identified, through deletion, consolidation, and heavy Rows and simplifications are improved and the best solution is standardized. It is expected that the DMAIC improvement method with Six Sigma will expand production capacity, continue to enhance competitiveness, and widen the gap between leading and peers. PENG, TING-KUO 彭定國 2019 學位論文 ; thesis 63 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 明新科技大學 === 工業工程與管理系碩士班 === 107 === Semiconductors dominate the global industrial economy. Semiconductors have always played the role of technology to achieve and promote the continuous development of the economy. The development of technology in semiconductor industry is also regarded as one of the indicators of national modernization. With the advent of the AI era, intelligent and artificial intelligence related products have emerged one after another, the IC industry is booming. In order to pursue the stability of advanced processes, materials must undergo repeated analysis and testing, which has led to a significant increase in demand for material analysis and verification testing. The high-standard professional analysis talents and the cost of testing equipment force the industry to detect and analyze the external OEMs, which makes the material analysis industry enter the capacity. Material analysts face complex and diverse customer needs, and the stability of their internal operations and the flexibility of staff scheduling have become the key to achieving customer delivery and an important consideration for customers to rely on as long-term partners. This study is based on the Six Sigma DMAIC management method. The semiconductor material analysis workflow is used as a research case. Through the Six Sigma management method and other phased discussions, the key factors affecting the production capacity in the process are identified, through deletion, consolidation, and heavy Rows and simplifications are improved and the best solution is standardized. It is expected that the DMAIC improvement method with Six Sigma will expand production capacity, continue to enhance competitiveness, and widen the gap between leading and peers.
author2 PENG, TING-KUO
author_facet PENG, TING-KUO
LIN, YA-CHI
林雅祺
author LIN, YA-CHI
林雅祺
spellingShingle LIN, YA-CHI
林雅祺
Applying six sigma management techniques to Improve the workflow of semiconductor material analysis-Using company A as an example
author_sort LIN, YA-CHI
title Applying six sigma management techniques to Improve the workflow of semiconductor material analysis-Using company A as an example
title_short Applying six sigma management techniques to Improve the workflow of semiconductor material analysis-Using company A as an example
title_full Applying six sigma management techniques to Improve the workflow of semiconductor material analysis-Using company A as an example
title_fullStr Applying six sigma management techniques to Improve the workflow of semiconductor material analysis-Using company A as an example
title_full_unstemmed Applying six sigma management techniques to Improve the workflow of semiconductor material analysis-Using company A as an example
title_sort applying six sigma management techniques to improve the workflow of semiconductor material analysis-using company a as an example
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/52ap7x
work_keys_str_mv AT linyachi applyingsixsigmamanagementtechniquestoimprovetheworkflowofsemiconductormaterialanalysisusingcompanyaasanexample
AT línyǎqí applyingsixsigmamanagementtechniquestoimprovetheworkflowofsemiconductormaterialanalysisusingcompanyaasanexample
AT linyachi yǐliùbiāozhǔnchàguǎnlǐshǒufǎgǎishànbàndǎotǐcáiliàofēnxīzhīzuòyèliúchéngyǐagōngsīwèilì
AT línyǎqí yǐliùbiāozhǔnchàguǎnlǐshǒufǎgǎishànbàndǎotǐcáiliàofēnxīzhīzuòyèliúchéngyǐagōngsīwèilì
_version_ 1719262506615046144