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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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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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.
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Kune -Muh Tsai |
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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 |
work_keys_str_mv |
AT chekaiwen yóuhuīfùlìmóxíngjiàngòugōngyīngliànfēngxiǎnguǎnlǐjuécèzhīyuánxìtǒng AT wēnzhékǎi yóuhuīfùlìmóxíngjiàngòugōngyīngliànfēngxiǎnguǎnlǐjuécèzhīyuánxìtǒng |
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1718537906985893888 |