由恢復力模型建構供應鏈風險管理決策支援系統

碩士 === 國立高雄第一科技大學 === 運籌管理研究所 === 104 === In a supply chain, each segment could have risk occurrence, and the occurrence of it will have distinctive scale and influence on the supply chain companies. The effected companies may also sustain diverse impact on the loss and their recovery rates may also...

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Main Authors: Che-kai Wen, 溫哲凱
Other Authors: Kune -Muh Tsai
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/47242062805748727458
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spelling ndltd-TW-104NKIT56820582017-09-17T04:24:42Z http://ndltd.ncl.edu.tw/handle/47242062805748727458 由恢復力模型建構供應鏈風險管理決策支援系統 由恢復力模型建構供應鏈風險管理決策支援系統 Che-kai Wen 溫哲凱 碩士 國立高雄第一科技大學 運籌管理研究所 104 In a supply chain, each segment could have risk occurrence, and the occurrence of it will have distinctive scale and influence on the supply chain companies. The effected companies may also sustain diverse impact on the loss and their recovery rates may also differ. Reference to the concept of disaster resilience model proposed by Bruneau and Tierney (2007), we used their recovery rate (α) and loss values (β) to represent loss and recovery rate of a supply chain company when a risk event occurs. To mitigate the effect of a risk event, a company can invest on some preventive measures to reduce the loss value of β and/or speed up the recovery rate of α. We developed an excel-based evaluation model to justify between the investment portfolios and the benefits generated from reduced βand increased α. An industrial case study was performed for the evaluation to justify the investment portfolios. Kune -Muh Tsai 蔡坤穆 2016 學位論文 ; thesis 64 zh-TW
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description 碩士 === 國立高雄第一科技大學 === 運籌管理研究所 === 104 === In a supply chain, each segment could have risk occurrence, and the occurrence of it will have distinctive scale and influence on the supply chain companies. The effected companies may also sustain diverse impact on the loss and their recovery rates may also differ. Reference to the concept of disaster resilience model proposed by Bruneau and Tierney (2007), we used their recovery rate (α) and loss values (β) to represent loss and recovery rate of a supply chain company when a risk event occurs. To mitigate the effect of a risk event, a company can invest on some preventive measures to reduce the loss value of β and/or speed up the recovery rate of α. We developed an excel-based evaluation model to justify between the investment portfolios and the benefits generated from reduced βand increased α. An industrial case study was performed for the evaluation to justify the investment portfolios.
author2 Kune -Muh Tsai
author_facet Kune -Muh Tsai
Che-kai Wen
溫哲凱
author Che-kai Wen
溫哲凱
spellingShingle Che-kai Wen
溫哲凱
由恢復力模型建構供應鏈風險管理決策支援系統
author_sort Che-kai Wen
title 由恢復力模型建構供應鏈風險管理決策支援系統
title_short 由恢復力模型建構供應鏈風險管理決策支援系統
title_full 由恢復力模型建構供應鏈風險管理決策支援系統
title_fullStr 由恢復力模型建構供應鏈風險管理決策支援系統
title_full_unstemmed 由恢復力模型建構供應鏈風險管理決策支援系統
title_sort 由恢復力模型建構供應鏈風險管理決策支援系統
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/47242062805748727458
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