Vinculación de TRIZ con el diseño funcional

Ponencia presentada en el XI Congreso Internacional de Ingeniería de Proyectos celebrado en Lugo en el año 2007The use of TRIZ tools in Computer Aided Inventing (CAI) is current hot topic. The Integration TRIZ in synthesis computational models has been the study object of many researchers. While there exist a large number of studies discussing a theoretical way to integrate TRIZ creativity with semantic knowledge in order to provide assistance in the design phase, few researches have sought to put a model into practice. Several studies describe proposals of CAI models based on the architecture of a system from the TRIZ viewpoint, as well as proposals to allow its integration through topological optimization systems. The present study aims to go a step further than previous attempts to combine existing TRIZ software with Knowledge Based Engineering (KBE) semantic tools. The purpose of our work is to establish a relation between generic taxonomies of engineering functions and flows and TRIZ taxonomies as a first step in the creation of a library of TRIZ-based algorithms for generating and evaluating solutions that consider the product lifecycle. This library should also allow its integration into a KBE system through a Function-Behaviour-Structure (FBS) framework.El uso de herramientas de TRIZ en Invención Asistida por Ordenador (Computer Aided Inventing, CAI) es un tema de máxima actualidad. La integración de TRIZ en modelos de síntesis computacional ha sido objeto de estudio de diversos investigadores. Mientras que la mayor parte de estos estudios discuten la forma de integrar la creatividad de TRIZ con el conocimiento semántico de un modo teórico con la finalidad de asistir en la fase de diseño, muy pocas investigaciones han intentado poner dichos modelos en práctica. Varios estudios describen propuestas de un modelo CAI basado en la arquitectura de un sistema desde el punto de vista de TRIZ, así como propuestas para permitir su integración a través de sistemas de optimización topológica. El presente estudio pretende ir un paso más allá de los intentos previos para combinar el software existente de TRIZ con las herramientas semánticas de la Ingeniería Basada en el Conocimiento (Knowledge Based Engineering, KBE). El propósito de el presente trabajo es el de establecer una relación entre las taxonomías genéricas de funciones y flujos de ingeniería y las taxonomías de TRIZ como primer paso en la creación de una librería de algoritmos basados en TRIZ para generar y evaluar soluciones que tomen en consideración el ciclo de vida del producto, y que al mismo tiempo permita ser integrada en un sistema KBE a través de un marco Función-Comportamiento-Estructura (Function-Behaviour-Structure, FBS)

Estudio sobre las herramientas de TRIZ para determinar su utilidad en la automatización con el diseño funcional

Ponencia presentada en el XIII Congreso Internacional de Ingeniería de Proyectos celebrado en Badajoz , 8-10 de julio de 2009TRIZ is the Russian acronym for the Theory of Inventive Problem Solving (TIPS). It emerges from the study of hundreds of thousands patents, and it consists on a set of model-based tools for idea and innovation solutions generation, in order to solve problems. These tools have a creative and innovative potential that can be used for designers by means of Computer Aided Inventing (CAI) tools. The present work shows a study over different TRIZ tools and their capacity to be automated in design process, through a Knowledge Based System (KBS) based on the Behaviour-driven Function-Environment-Structure (B-FES) framework, and aided by NIST functional basis and B-Cube model terminologies.TRIZ, acrónimo ruso para la Teoría de Resolución de Problemas Inventivos, surge del estudio de cientos de miles de patentes y consiste en un conjunto de herramientas basadas en modelos para la generación de ideas y soluciones innovadoras para resolver problemas. Estas herramientas contienen un potencial creativo e innovador que puede ser aprovechado por los diseñadores a través de las herramientas de invención asistida por ordenador, CAI (Computer Aided Inventing). El presente trabajo presenta un estudio sobre diferentes herramientas de TRIZ y su capacidad para lograr su automatización en el proceso de diseño, a través de la vinculación con un KBS (Knowledge Based System) basado en el esquema B-FES (Behaviour-driven Function-Environment-Structure), auxiliado de las terminologías de las functional basis del NIST y del modelo B-Cube

Integración de principios inventivos de TRIZ en sistema de diseño conceptual asistido por ordenador (CAD)

Ponencia presentada en el IX Congreso Internacional de Ingeniería de Proyectos celebrado en Málaga en el año 2005The work presented proposes the integration of TRIZ inventive principles as criteria for searching design alternatives in functional reasoning CACD systems. This approach enhances the exploration of different kinds of solutions and stimulates designers’ creativity by means of a synthesis process oriented by inventive principles, thus implementing aspects concerning CAI systems in an initial divergent scheme in order to guide the designer to search for more innovative alternatives.Este trabajo propone la integración de los principios inventivos de TRIZ como criterio de búsqueda de alternativas en sistemas CACD basados en razonamiento funcional con el fin de ampliar las posibilidades de explorar distintas soluciones y de estimular la creatividad del diseñador. La aproximación presentada permite explorar distintas alternativas mediante un proceso de síntesis orientado por los principios inventivos, implementado así parte de la filosofía de los sistemas de invención asistida por ordenador (CAI) en un esquema inicial divergente, para guiar al diseñador a la búsqueda de alternativas que acerquen a la innovación

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

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

Collaborative framework in computer aided innovation 2.0 : Application to process system engineering

In economy nowadays, the act of innovation is in general social; it requires the management of knowledge, and the techniques and methodologies to drive it. Innovation is not the product of one isolated intelligence, instead, it is the result of a multi-disciplinary workgroup lead by a process or a methodology. The conceptual design, which is found in the first stages of the innovation process, represents one of the most important challenges in industry nowadays. One of the main challenges faced by chemical industries related to the conceptual design phase is to provide the means in the form of methods and computational tools, for solving problems systematically, at the same time that benefiting from the collective efforts of individual intelligences involved. Hence, the main objective of this work is to provide a solution to improve the creative capacity of a team involved in the innovation process, in particular the preliminary (critical) phase of conceptual design. Consequently, it is important to understand the techniques, methods and tools that best support the generation of novel ideas and creative solutions. In addition, it is necessary to study the contribution of information and communication technologies as the mean to support collaboration. Web technologies are considered as complementary tools to implement methods and techniques in collaborative design, and particularly in the conceptual design stage. These technologies allow setting up distributed collaborative environments to bring together the resources and the experts who can relate the existing pieces of knowledge to new contexts. It is the synergy created in this kind of environment, which allow producing valuable concepts and ideas in the form of Collective Intelligence. Nevertheless in most existing solutions for collective intelligence or crowdsourcing environments, they do not report the use of a particular methodology to improve the participants' creativity. The solution in this work describes a social network service that enables users to cooperatively solve problems oriented (but not limited) to the phase of conceptual design. In this work we propose that the use of Collective Intelligence in combination with the model TRIZ-CBR could lead the creative efforts in a team to develop innovative solutions. With this work we are looking for connecting experts from one particular field, TRIZ practitioners and stakeholders with the objective to solve problems in collaboration unlashing the collective intelligence to improve creativity. This work uses the basis of the concept named "Open CAI 2.0" to propose a solution in the form of a theoretical framework. The contributions seek to move the development of the field in Computer Aided Innovation a step forward