16 research outputs found

    Study on Product Innovative Design Process Driven by Ideal Solution

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    Abstract. Product innovative design in companies today relies heavily on individual members' experience and creative ideation as well as their skills of integrating creativity and innovation tools with design methods agilely. Creative ideation and inventive ideas generation are two crucial stages in product innovative design process. Ideal solution is the desire final ideas for given problem, and the striving reaching target for product design. In this paper, a product innovative design process driven by ideal solution is proposed. This design process encourages designers to overcome their psychological inertia, to foster creativity in a systematic way for acquiring breakthrough creative and innovative solutions in a reducing sphere of solution-seeking, and results in effective product innovative design rapidly. A case study example is also presented to illustrate the effectiveness of the proposed design process

    Inovação auxiliada por computador (CAI): uma análise bibliométrica de artigos publicados entre 2004 e 2013

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    In recent decades, innovation has come to be seen as a crucial factor for the competitiveness of organizations. From a process little orderly, innovation has come to be systematized, with the establishment of tools, methodologies and theories. A variety of computer programs have been created to support innovation, giving rise to a new category of tools, which is being called Computer Aided Innovation (CAI). This exploratory research seeks to understand more precisely the concept of CAI, as well as identify key publications, authors, institutions and regions in which it has been developed, besides seeking to identify gaps and trends of the topics covered in the area. Given the purpose of the research, it was decided to use bibliometrics, which allows obtaining the information indicated from the analysis of the main databases related to CAI. The research consists of 217 articles, published between 2004-2013. The methodological procedures to develop the research involved the following steps: a) raise the state of the art regarding the Computed Aided Innovation; b) Survey and data collection of scientific papers on CAI; c) categorization and bibliometric analysis and d) classify and analyze the topics covered. The results obtained through the bibliometric analysis revealed that there were 378 different authors, and authors have increased an average of 34.7% from 2004 to 2013. When checking the adhesion of the Lotka´s law to the field of CAI, It was observed that 72.8% of the authors had only one publication, 15% more than proposed by Lotka, than the area of CAI does not adjust to this law. The most productive authors were Runhua Tan (complete count) and Noel Leon (direct counting). The most cited author was Gaetano Cascini. The most productive country in the world is China, with 41% of publications, as well as having the largest number of researchers (42% of total) and the largest number of institutions. However, the country with the greatest relevance is France, because the French articles had 30.4% of the citations. The more productive institution is Hebei Universi ty of Technology, China, with 16% of the articles. The institution most frequently cited is INSA Strasbourg, France. By analyzing the topics covered, it was realized that the "Idea Management" category is more developed and the category "Management Patent" is the one with the least amount of work. It is considered that this research has contributed to give visibility to researchers, institutions and countries that have contributed to the development of CAI, besides recognizing the theoretical core that serves as the foundation of knowledge of the area. The theme CAI is extremely important for the improvement of the innovation process, enabling to innovate more efficiently and effectively.Nas últimas décadas, a inovação passou a ser vista como um fator crucial para a competitividade das organizações. De um processo pouco ordenado, a inovação tem passado a ser sistematizada, com o estabelecimento de ferramentas, metodologias e teorias. Uma variedade de programas computacionais têm sido criadas para apoiar a inovação, dando origem a uma nova categoria de ferramentas, que vem sendo denominada Computer Aided Innovation (CAI), ou Inovação Auxiliada por Computador. Esta pesquisa, de característica exploratória, busca compreender com maior exatidão o conceito de CAI, bem como identificar as principais publicações, autores, instituições e regiões nas quais o assunto tem sido desenvolvido, além de buscar identificar as lacunas e tendências dos temas abordados na área. Dada a finalidade da pesquisa, decidiu-se pelo uso da bibliometria e da análise de conteúdo para alcançar os objetivos estabelecidos. O universo da pesquisa constitui -se de 217 artigos, publicados no período de 2004 a 2013. Os procedimentos metodológicos para desenvolver a pesquisa envolveram os seguintes passos: a) levantar o estado da arte no que se refere a Inovação Auxiliada por Computador; b) levantar e coletar os dados dos artigos científicos em CAI; c) categorizar e fazer análise bibliométrica e d) classificar e analisar os temas abordados. Os resultados obtidos, por meio da análise bibliométrica, revelaram que houve 378 autores diferentes, e que a média de autores aumentou em 30,4% de 2004 a 2013. Ao verificar a aderência da lei de Lotka à área de CAI, observou-se que 72,8% dos autores tiveram apenas uma publicação, sendo 15% a mais do que o proposto por Lotka, ou seja, a área de CAI não se ajusta a esta lei. Os autores mais produtivos foram Runhua Tan (contagem completa) e Noel León (contagem direta). O autor mais citado foi Gaetano Cascini. O país mais produtivo do mundo é a China, com 41% das publicações, além de possuir o maior número de pesquisadores (42% do total) e o maior número de instituições. No entanto, o país com a maior relevância é a França, pois os artigos franceses tiveram 30,4% das citações. A instituição mais produtiva é Hebei University of Technology da China, com 16% dos artigos. A instituição mais citada é INSA Strasbourg, França. Ao analisar os temas abordados, percebeu-se que a categoria “Gestão de Ideias” é mais desenvolvida e a categoria “Gestão de Patentes” é a que possui a menor quantidade de trabalhos. Considera-se que esta pesquisa contribuiu para dar visibilidade aos pesquisadores, instituições e países que tem contribuído para o desenvolvimento do CAI, além de reconhecer o núcleo teórico que serve de alicerce do conhecimento da área. O tema CAI é de suma importância para a melhoria do processo de inovação, possibilitando inovar com mais eficiência e eficácia

    Predicting Technical Value Of Technologies Through Their Knowledge Structure

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    This thesis tests the hypothesis that the characteristics displayed by the knowledge structure of a high technical value invention is different from that of a low technical value invention. The knowledge structure crystalizes at the inception of the invention making it ideal for evaluating new inventions. More specifically, this research investigates two characteristics of the knowledge structure: knowledge accumulation and knowledge appropriation. Knowledge accumulation is defined as the collective body of knowledge gathered in a sector over time that has contributed to the creation of the invention. A higher degree of accumulated knowledge is more likely to be associated with high technical value inventions. Knowledge appropriation describes absorption of knowledge in the creation of the invention. From knowledge structure perspective knowledge absorption is observed by the emergence of edges that connect knowledge elements together. The robustness of this emergent knowledge structure is thus an indicator of the amount of knowledge appropriated by the invention. This research introduces a new metric for the measurement of knowledge accumulation and presents structural robustness as an indicator of knowledge appropriation. Knowledge accumulation and knowledge appropriation are hypothesized to be positively correlated with the technical value of the invention. This research tests the hypotheses by examining the citation networks of patents in four sectors: thin film photovoltaics, inductive vibration energy harvesting, piezoelectric energy harvesting, and carbon nanotubes. In total 152 base inventions and over 4000 patents are investigated. This research shows that knowledge accumulation is a significant predictor of the technical value of an invention and that high value inventions show a higher level of knowledge appropriation

    発展途上国における創造的問題解決のための設計支援に関する研究

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    学位の種別: 課程博士審査委員会委員 : (主査)東京大学教授 堀 浩一, 東京大学教授 鈴木 真二, 東京大学教授 中須賀 真一, 東京大学教授 梅田 靖, 東京大学准教授 矢入 健久University of Tokyo(東京大学

    Proceedings of the fifth workshop on digital fluid power, October 24-25, 2012, Tampere, Finland

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    The Digital Fluid Power workshops have been arranged annually since 2008 alternating between Linz and Tampere. This is the third time in Tampere and the number of participants is as high as 114 from 11 countries, 33 companies and 8 universities despite bad economic situation. The digital fluid power technology is developing rapidly and new principles still emerges. The component availability is better and several papers present research results with commercial digital valves. The good old days with self-wound coils and fuming power electronics seem to be ending. Other trends are sophisticated control methods, which consider digital nature of the systems, energy efficient fully digital solutions, and faster and more compact valves

    A Major Study of American (Ford) Compared with Japanese (Honda) Automotive Industry: Their Strategies Affecting Surviabilty

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    Understanding the role of technology, in the automotive industry, is necessary for the development, implementation, service and disposal of such technology, from a complete integrated system life cycle approach, to assure long-term success. This dissertation provides a unique complete characterization of the system life (cycle) business major cost elements of the automotive industry the subsystems, cost elements, interplay and interdependencies that affect the total real life cycle cost and value the various stated product, organizational, and process initiatives intended to produce significant improvements in the American automobile industry, as compared to the Japanese. This dissertation adds a perspective, understanding, and new insights of the drivers of business/technology changes and challenges that are likely to occur over the next 5-10 years. Research was carried out by an extensive review of publications, technical journals, articles, government agency documents, industry publications, annual reports and company bulletins, data and announcements. Results were generated and compared with past industry leaders\u27 effort

    A computational theory for the generation of solutions during early conceptual design

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    Advancement in technology is usually made by building on previous experiences and learning from past successes and failures. However, knowledge transfer in the broad field of product design is often difficult to accomplish. Research has shown that successful component configurations, observed from existing products, can be dissected and stored for reuse; but few computational tools exist to assist designers during the conceptual phase of design. Many well-known manual methods (e.g. brainstorming, intrinsic and extrinsic searches, and morphological analysis) rely heavily on individual bias and experience and are often time intensive, laborious tasks that may not catch solutions that are functionally analogous, but seemingly unrelated. This research presents an automated concept generation tool that augments traditional activities during the conceptual phase of design --Abstract, page iii

    A Major Study of American (Ford) Compared with Japanese (Honda) Automotive Industry: Their Strategies Affecting Surviabilty

    Get PDF
    Understanding the role of technology, in the automotive industry, is necessary for the development, implementation, service and disposal of such technology, from a complete integrated system life cycle approach, to assure long-term success. This dissertation provides a unique complete characterization of the system life (cycle) business major cost elements of the automotive industry the subsystems, cost elements, interplay and interdependencies that affect the total real life cycle cost and value the various stated product, organizational, and process initiatives intended to produce significant improvements in the American automobile industry, as compared to the Japanese. This dissertation adds a perspective, understanding, and new insights of the drivers of business/technology changes and challenges that are likely to occur over the next 5-10 years. Research was carried out by an extensive review of publications, technical journals, articles, government agency documents, industry publications, annual reports and company bulletins, data and announcements. Results were generated and compared with past industry leaders\u27 effort
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