Applying Cloud Manufacturing to optimize Auto Industry Supply Chain

碩士 === 國立中央大學 === 工業管理研究所 === 102 === In the age of information explosion, user needs change rapidly. Cloud Computing provides virtualized resources, dynamic expandability, and innovative applications, and establishes new modes of resource usages and distributions. In recent years, manufacturing ind...

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Main Authors: Jia-ling Chiu, 邱佳玲
Other Authors: Hsing-pei Kao
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/55404349455025786952
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spelling ndltd-TW-102NCU050410592015-10-13T23:55:40Z http://ndltd.ncl.edu.tw/handle/55404349455025786952 Applying Cloud Manufacturing to optimize Auto Industry Supply Chain 應用雲端製造優化汽車產業供應鏈 Jia-ling Chiu 邱佳玲 碩士 國立中央大學 工業管理研究所 102 In the age of information explosion, user needs change rapidly. Cloud Computing provides virtualized resources, dynamic expandability, and innovative applications, and establishes new modes of resource usages and distributions. In recent years, manufacturing industries attempt to utilize the cloud infrastructure for the purpose of enhancing collaboration among trading partners by sharing information and resources. Thus, due to the integration throughout the products’ life cycle, trading partners will gain the benefits of high value-added applications and services, minimized cost and globalized manufacturing. Focusing on cloud manufacturing, this study applies Order Fulfillment Process to unfold the industry supply chain, and adopts the approach of collaborative development to facilitate the cooperation among trading partners. In addition, ARIS, a business process modeling methodology, and OOAD (Object-oriented Analysis and Design) are adopted to integrate the transaction processes between companies for the development of information exchange platform. As a constant commitment, auto industry must launch new automobiles to meet consumer preferences whereas the cycle time from development to market is typically long. It is one of the main issues to increase supply chain flexibility so as to quickly respond to customer needs. Focusing on the collaboration in the cloud manufacturing environment, this research will analyze the supply chain of auto industry and apply ARIS to design the information exchange platform. Hsing-pei Kao 高信培 2014 學位論文 ; thesis 60 zh-TW
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description 碩士 === 國立中央大學 === 工業管理研究所 === 102 === In the age of information explosion, user needs change rapidly. Cloud Computing provides virtualized resources, dynamic expandability, and innovative applications, and establishes new modes of resource usages and distributions. In recent years, manufacturing industries attempt to utilize the cloud infrastructure for the purpose of enhancing collaboration among trading partners by sharing information and resources. Thus, due to the integration throughout the products’ life cycle, trading partners will gain the benefits of high value-added applications and services, minimized cost and globalized manufacturing. Focusing on cloud manufacturing, this study applies Order Fulfillment Process to unfold the industry supply chain, and adopts the approach of collaborative development to facilitate the cooperation among trading partners. In addition, ARIS, a business process modeling methodology, and OOAD (Object-oriented Analysis and Design) are adopted to integrate the transaction processes between companies for the development of information exchange platform. As a constant commitment, auto industry must launch new automobiles to meet consumer preferences whereas the cycle time from development to market is typically long. It is one of the main issues to increase supply chain flexibility so as to quickly respond to customer needs. Focusing on the collaboration in the cloud manufacturing environment, this research will analyze the supply chain of auto industry and apply ARIS to design the information exchange platform.
author2 Hsing-pei Kao
author_facet Hsing-pei Kao
Jia-ling Chiu
邱佳玲
author Jia-ling Chiu
邱佳玲
spellingShingle Jia-ling Chiu
邱佳玲
Applying Cloud Manufacturing to optimize Auto Industry Supply Chain
author_sort Jia-ling Chiu
title Applying Cloud Manufacturing to optimize Auto Industry Supply Chain
title_short Applying Cloud Manufacturing to optimize Auto Industry Supply Chain
title_full Applying Cloud Manufacturing to optimize Auto Industry Supply Chain
title_fullStr Applying Cloud Manufacturing to optimize Auto Industry Supply Chain
title_full_unstemmed Applying Cloud Manufacturing to optimize Auto Industry Supply Chain
title_sort applying cloud manufacturing to optimize auto industry supply chain
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/55404349455025786952
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