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作者(中文):湯育綸
作者(外文):Tang, Yu Lun
論文名稱(中文):電腦輔助專利分析之技術功效矩陣構建-積層製造應用於牙科領域之專利布局策略
論文名稱(外文):Auto-generated Technology-Function Matrixes for Patent Analysis of Additive Manufacturing in the Dental Industry
指導教授(中文):張瑞芬
指導教授(外文):Amy Trappey
口試委員(中文):王東美
張力元
學位類別:碩士
校院名稱:國立清華大學
系所名稱:工業工程與工程管理學系
學號:103034522
出版年(民國):105
畢業學年度:104
語文別:英文
論文頁數:100
中文關鍵詞:技術功效矩陣牙科積層製造專利分析專利布局
外文關鍵詞:technology-function matrixdentaladditive manufacturingpatent analysis
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隨著世界總人口數的成長,人們對於醫療服務及儀器的需求也快速增加。根據聯合國人口統計部 (2015)的調查,目前世界總人口數約為73億人,他們更預計於2050年總人口數將成長至98億人。Visiongain (2015)也預估醫療相關市場市值將從2013年的3000億美金成長到2017年的4000億美金。積層製造技術的出現改變了許多傳統製造業的生產方式,其中,為了打造能滿足病患個人需求的醫療器具如假牙、牙套等等,積層製造的高度客製化特性尤其適合應用於醫療與牙科產業。本研究透過專利分析方法-自動化建構之技術功效矩陣來研究積層製造技術應用於牙科領域的專利布局情況,由於專利包含豐富的技術與創新的知識,它們可被用於技術趨勢預測、技術生命週期探討以及未來市場策略擬定。本研究的研究流程架構包含專利搜索與篩選、知識本體論建構、以及自動化產生技術功效矩陣方法與分析。另外,台灣科技部的積層製造相關研究計畫也被納入研究範圍,探討我國研究計畫與國際技術趨勢之異同。
As population grows and ages, the need of medical service and equipment grows rapidly. According to United Nations Population Division (2015), the current world population is 7.3 billion and is estimated to reach 9.8 billion by 2050. Visiongain (2015) forecasted that the medical market will expand and grow significantly in the coming decade, from 2013 to 2017, the medical devices market will grow from 300 billion US dollars to nearly 400 billion. To satisfy the demands of medical market, the growing technology-Additive Manufacturing (AM) has been viewed as a game changer in this industry and it is also applicable to several industries. Its brand new manufacturing processes and highly customized features are especially suitable for medical/dental industries since patients require products or service based on personal conditions. This research focused on the combination of dental industries and AM technologies using patent analytic approaches to study the development of industries and markets. Since patents contain rich information and innovative knowledge of technologies, they can be used to study technology trend, technology life cycle, and forecasting future market development. The patent analysis methodologies in this research include strategic patent search, manegement map analysis, and technical map analysis. After patents screening and review, the Technology-Function (TF) Matrix is constructed for studying the distribution of patents under AM technologies and dental applications. The TF matrix is constructed automatically through text mining and key term comparison techniques, which is a new approach different from traditional hand-made TF matrix. Furthermore, the major companies, important patents, and research initiatives of Taiwan Ministry of Science and Technology (MoST) will also be discussed in analysis results. This research uses additive manufacturing applied on dental industry as a case and provides insights of development trend and market opportunities.
Abstract I
1. Introduction 1
1.1 Research Purpose 2
1.2 Research Structure 2
2. Literature Review 4
2.1 Dental Domain 4
2.2 Additive Manufacturing (AM) 8
2.3 Patent Analysis 16
3. Methodology 21
3.1 Patent Search and Screening 22
3.2 Construction of Technology-Function Matrix 32
4. Case Study 41
4.1 Auto-generated Technology-function matrix and MoST AM projects 41
4.2 Patent Map Analyses 46
5. Conclusion 58
References 61
Appendices 69
A. Text Mining of AM Technologies (partial)-NTF Values 69
B. 162 Granted Patents 70
C. Algorithm of Auto-Generated Technology-Function Matrix 98

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