Knowledge management centric intelligent manufacturing systems for semiconductor manufacturing services industry

T. C. Hou; Dah Chuan Gong; Kung Jeng Wang; Vijay Shekhar Jha; Chun Chih Chiu

doi:10.1080/10170660809509113

Knowledge management centric intelligent manufacturing systems for semiconductor manufacturing services industry

T. C. Hou, Dah Chuan Gong, Kung Jeng Wang^*, Vijay Shekhar Jha, Chun Chih Chiu

^*Corresponding author for this work

Research output: Contribution to journal › Journal Article › peer-review

3 Scopus citations

Abstract

Dynamic situation of semiconductor manufacturing service companies' demand for a system framework that integrates organization knowledge management (KM) intelligence and decision making features to tackle the current challenges posed by the competitive environment and the pressure of increasing customer service level. This study develops a systematic framework that responds to such challenges efficiently. This framework allows a KM centric intelligent manufacturing system (KCIMS) which builds on organizational knowledge resources and works with advance product quality planning (APQP) concept as well as intelligent agents. The proposed framework reflects how an intelligent agent seeks significant inroads into process knowledge repository to recommend a solution for decision making in delivering semiconductor manufacturing services.

Original language	English
Pages (from-to)	510-518
Number of pages	9
Journal	Journal of the Chinese Institute of Industrial Engineers
Volume	25
Issue number	6
DOIs	https://doi.org/10.1080/10170660809509113
State	Published - 2008
Externally published	Yes

Keywords

Intelligent manufacturing systems
Knowledge management
Semiconductor manufacturing

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10.1080/10170660809509113

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title = "Knowledge management centric intelligent manufacturing systems for semiconductor manufacturing services industry",

abstract = "Dynamic situation of semiconductor manufacturing service companies' demand for a system framework that integrates organization knowledge management (KM) intelligence and decision making features to tackle the current challenges posed by the competitive environment and the pressure of increasing customer service level. This study develops a systematic framework that responds to such challenges efficiently. This framework allows a KM centric intelligent manufacturing system (KCIMS) which builds on organizational knowledge resources and works with advance product quality planning (APQP) concept as well as intelligent agents. The proposed framework reflects how an intelligent agent seeks significant inroads into process knowledge repository to recommend a solution for decision making in delivering semiconductor manufacturing services.",

keywords = "Intelligent manufacturing systems, Knowledge management, Semiconductor manufacturing",

author = "Hou, {T. C.} and Gong, {Dah Chuan} and Wang, {Kung Jeng} and Jha, {Vijay Shekhar} and Chiu, {Chun Chih}",

year = "2008",

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AU - Hou, T. C.

AU - Gong, Dah Chuan

AU - Wang, Kung Jeng

AU - Jha, Vijay Shekhar

AU - Chiu, Chun Chih

PY - 2008

Y1 - 2008

N2 - Dynamic situation of semiconductor manufacturing service companies' demand for a system framework that integrates organization knowledge management (KM) intelligence and decision making features to tackle the current challenges posed by the competitive environment and the pressure of increasing customer service level. This study develops a systematic framework that responds to such challenges efficiently. This framework allows a KM centric intelligent manufacturing system (KCIMS) which builds on organizational knowledge resources and works with advance product quality planning (APQP) concept as well as intelligent agents. The proposed framework reflects how an intelligent agent seeks significant inroads into process knowledge repository to recommend a solution for decision making in delivering semiconductor manufacturing services.

AB - Dynamic situation of semiconductor manufacturing service companies' demand for a system framework that integrates organization knowledge management (KM) intelligence and decision making features to tackle the current challenges posed by the competitive environment and the pressure of increasing customer service level. This study develops a systematic framework that responds to such challenges efficiently. This framework allows a KM centric intelligent manufacturing system (KCIMS) which builds on organizational knowledge resources and works with advance product quality planning (APQP) concept as well as intelligent agents. The proposed framework reflects how an intelligent agent seeks significant inroads into process knowledge repository to recommend a solution for decision making in delivering semiconductor manufacturing services.

KW - Intelligent manufacturing systems

KW - Knowledge management

KW - Semiconductor manufacturing

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JO - Journal of the Chinese Institute of Industrial Engineers

JF - Journal of the Chinese Institute of Industrial Engineers

IS - 6

ER -

Knowledge management centric intelligent manufacturing systems for semiconductor manufacturing services industry

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Keywords

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