| Summary: | 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.
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