零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究

碩士 === 國立政治大學 === 資訊管理研究所 === 100 === Since reverse logistics is much more complex than forward logistics, third-party logistics providers are often the prior choice for firms to obtain their core value when a reverse logistic activity is needed. For third-party logistics providers, the location...

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Main Authors: Cheng, Jen Jen, 鄭荏任
Other Authors: Lin, Woo Tsong
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/74989558191876458695
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spelling ndltd-TW-100NCCU53960272016-02-21T04:19:34Z http://ndltd.ncl.edu.tw/handle/74989558191876458695 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究 Cheng, Jen Jen 鄭荏任 碩士 國立政治大學 資訊管理研究所 100 Since reverse logistics is much more complex than forward logistics, third-party logistics providers are often the prior choice for firms to obtain their core value when a reverse logistic activity is needed. For third-party logistics providers, the location is one of their crucial core values; while most of them can only rely on historical data to assume the best location, due to the uncertainty of recycling in present studies.Therefore, this paper tries to construct the probability of products’ used-years by combining the retailers’ information with consumer-oriented questionnaires. Binary logistic regression is the methodology used to analyze and predict recycling probability. By information-sharing the third-party logistics providers will be able to construct a better selecting model for the best facility location, which will reach the most suitable recycling quantity to maximize their profits. Lin, Woo Tsong 林我聰 學位論文 ; thesis 65 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立政治大學 === 資訊管理研究所 === 100 === Since reverse logistics is much more complex than forward logistics, third-party logistics providers are often the prior choice for firms to obtain their core value when a reverse logistic activity is needed. For third-party logistics providers, the location is one of their crucial core values; while most of them can only rely on historical data to assume the best location, due to the uncertainty of recycling in present studies.Therefore, this paper tries to construct the probability of products’ used-years by combining the retailers’ information with consumer-oriented questionnaires. Binary logistic regression is the methodology used to analyze and predict recycling probability. By information-sharing the third-party logistics providers will be able to construct a better selecting model for the best facility location, which will reach the most suitable recycling quantity to maximize their profits.
author2 Lin, Woo Tsong
author_facet Lin, Woo Tsong
Cheng, Jen Jen
鄭荏任
author Cheng, Jen Jen
鄭荏任
spellingShingle Cheng, Jen Jen
鄭荏任
零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究
author_sort Cheng, Jen Jen
title 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究
title_short 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究
title_full 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究
title_fullStr 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究
title_full_unstemmed 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究
title_sort 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究
url http://ndltd.ncl.edu.tw/handle/74989558191876458695
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