Browsing by Author "Chang, Sandy W. C."

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A one-stop logistic services framework supporting global supply chain collaboration
(2016-06)
Trappey, Amy J. C.
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Trappey, Charles V.
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Chang, Sandy W. C.
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Lee, W. T.
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Hsu, Tun Nien
A global enterprise must continuously improve the efficiency of logistic operations between supply chain collaborators. Integrating logistic services, resources, and necessary information flows in the supply chain to ensure efficiency and efficacy is critically important to these companies. Global logistic service companies face challenges from their clients to provide logistic services that are cost effective, accurate, and seamlessly integrate material, information and cash flows. In this research, an improved framework for one-stop logistic services is systematically designed, analyzed, and evaluated. The one-stop logistic service framework, defined in four models, is developed to provide enterprises with integrated and comprehensive services within the global supply chain context. The levels of service importance are assessed using a four categories questionnaire. This research provides a case study of the implementation of one-stop logistic services in the distribution industry and demonstrates the framework operating under different demand conditions. Finally, system dynamics causal evaluation is used to evaluate the advantages of the logistic service framework.
Forecasting Dental Implant Technologies Using Patent Analysis
(2014-01-01)
Chang, Sandy W. C.
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Trappey, Charles V.
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Trappey, Amy J. C.
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Wu, Squall Chun-Yi
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管理科學系
Technology development extends the frontier of knowledge and offers new economic opportunities. Global populations are experiencing increased longevity which in turn increases the need for new medicines, devices, and medical services. For example, the percentage of people with missing teeth is almost 10% with the largest number (over 5.5 billion) in Asia and Africa (Tsai et al., 2010). There is a significant market for newer, less expensive, and easier to place dental implants. This research studies dental implants to document the development and trends using time series and cluster analysis of patent data. The methodology uses a three step search strategy to define the target patent groups. The database is built using the United States Patent and Trademark Office (USPTO) online files and search engine. The first step defines the target patent groups using related dental implant key phrases. The second step analyzes the main assignees and builds a patent map of the patent metadata. The patent map analysis includes the trends of applications over time, the analysis of assignee activities, the countries of assignees, the forward citations, the analysis of inventors, and the analysis of techniques. The final step determines the quality of the target patent groups. In order to understand the content of the patents, this research ranks the quality levels within a matrix of technology functions. The proposed methodology analyzes the distribution of dental implants and the patent strategy of main assignees. Extracting high quality patents and building clusters of emerging technologies provides an opportunity for companies to explore opportunities for designing next generation dental implant technologies.