Mechatronic product development is a complex and multidisciplinary field that encompasses various domains, including, among others, mechanical engineering, electrical engineering, control theory and software engineeri...Mechatronic product development is a complex and multidisciplinary field that encompasses various domains, including, among others, mechanical engineering, electrical engineering, control theory and software engineering. The integration of artificial intelligence technologies is revolutionizing this domain, offering opportunities to enhance design processes, optimize performance, and leverage vast amounts of knowledge. However, human expertise remains essential in contextualizing information, considering trade-offs, and ensuring ethical and societal implications are taken into account. This paper therefore explores the existing literature regarding the application of artificial intelligence as a comprehensive database, decision support system, and modeling tool in mechatronic product development. It analyzes the benefits of artificial intelligence in enabling domain linking, replacing human expert knowledge, improving prediction quality, and enhancing intelligent control systems. For this purpose, a consideration of the V-cycle takes place, a standard in mechatronic product development. Along this, an initial assessment of the AI potential is shown and important categories of AI support are formed. This is followed by an examination of the literature with regard to these aspects. As a result, the integration of artificial intelligence in mechatronic product development opens new possibilities and transforms the way innovative mechatronic systems are conceived, designed, and deployed. However, the approaches are only taking place selectively, and a holistic view of the development processes and the potential for robust and context-sensitive artificial intelligence along them is still needed.展开更多
This article presents the mapping of wiki tool functions in the organizational processes of knowledge management. Mapping these functions and their individual weights in the overall process will identify opportunities...This article presents the mapping of wiki tool functions in the organizational processes of knowledge management. Mapping these functions and their individual weights in the overall process will identify opportunities for decision-making and the optimization of knowledge sharing, a recognized asset in differentiation and organizational competitiveness. This is an exploratorydescriptive case study based on data collected from a questionnaire applied to 80 IT workers employed at a multinational company in Brazil. The use of mixed methods in data analysis was complemented by content analysis of the research corpus created. A theoretical model is graphically developed following Nonaka and Takeuchi’s knowledge spiral model (1997), a conventional model in knowledge management. In addition, an indicator of the individual contribution of each step in the conversion process of tacit into explicit knowledge is introduced. This case study alone does not enable a generalization of the findings. Therefore, a replication of the process and especially multiple testing of the constructed indicator are indispensable to its validation. Validation of the use of the wiki tool functions will allow the future development of measurements that can be directly employed in the organizational decision-making process. Statistically, a theoretical model is qualitatively discussed, which enables the construction of an initial indicator of the weight of individual contribution of steps in the knowledge generation process using the knowledge spiral model.展开更多
The aim of this paper is to present and analyze the factors, motivations and criteria considered in the decision-making processes of the actors belonging to the biodiesel production chain in Brazil. The biodiesel prod...The aim of this paper is to present and analyze the factors, motivations and criteria considered in the decision-making processes of the actors belonging to the biodiesel production chain in Brazil. The biodiesel production chain consists of three main agents： the farmers, the soybean processing plants and the oil refinery/distributor. For the farmers organized in cooperatives the central decision is whether to sell oil-bearing crops for the production of biodiesel. In contrast, for the soybean processing plants that convert the crops into vegetable and/or biodiesel, the decision to produce this fuel is based on the wish to expand their market portfolio. Government tax incentives strongly influence both decisions regarding which oil-bearing crop to use and the amount of vegetable oil to be transformed into biodiesel. Finally, the oil refinery/distributor is obliged by law to mix the biodiesel with the mineral diesel and perceives this as a liability. The results show the existence of different characteristics linked to the decision-making process and a significant lack of synchronicity in the aims and motivations behind the agents＇ decisions. This state of decisional misalignment leads to heightened uncertainty regarding the sustainability of the Brazilian biodiesel production program.展开更多
文摘Mechatronic product development is a complex and multidisciplinary field that encompasses various domains, including, among others, mechanical engineering, electrical engineering, control theory and software engineering. The integration of artificial intelligence technologies is revolutionizing this domain, offering opportunities to enhance design processes, optimize performance, and leverage vast amounts of knowledge. However, human expertise remains essential in contextualizing information, considering trade-offs, and ensuring ethical and societal implications are taken into account. This paper therefore explores the existing literature regarding the application of artificial intelligence as a comprehensive database, decision support system, and modeling tool in mechatronic product development. It analyzes the benefits of artificial intelligence in enabling domain linking, replacing human expert knowledge, improving prediction quality, and enhancing intelligent control systems. For this purpose, a consideration of the V-cycle takes place, a standard in mechatronic product development. Along this, an initial assessment of the AI potential is shown and important categories of AI support are formed. This is followed by an examination of the literature with regard to these aspects. As a result, the integration of artificial intelligence in mechatronic product development opens new possibilities and transforms the way innovative mechatronic systems are conceived, designed, and deployed. However, the approaches are only taking place selectively, and a holistic view of the development processes and the potential for robust and context-sensitive artificial intelligence along them is still needed.
文摘This article presents the mapping of wiki tool functions in the organizational processes of knowledge management. Mapping these functions and their individual weights in the overall process will identify opportunities for decision-making and the optimization of knowledge sharing, a recognized asset in differentiation and organizational competitiveness. This is an exploratorydescriptive case study based on data collected from a questionnaire applied to 80 IT workers employed at a multinational company in Brazil. The use of mixed methods in data analysis was complemented by content analysis of the research corpus created. A theoretical model is graphically developed following Nonaka and Takeuchi’s knowledge spiral model (1997), a conventional model in knowledge management. In addition, an indicator of the individual contribution of each step in the conversion process of tacit into explicit knowledge is introduced. This case study alone does not enable a generalization of the findings. Therefore, a replication of the process and especially multiple testing of the constructed indicator are indispensable to its validation. Validation of the use of the wiki tool functions will allow the future development of measurements that can be directly employed in the organizational decision-making process. Statistically, a theoretical model is qualitatively discussed, which enables the construction of an initial indicator of the weight of individual contribution of steps in the knowledge generation process using the knowledge spiral model.
文摘The aim of this paper is to present and analyze the factors, motivations and criteria considered in the decision-making processes of the actors belonging to the biodiesel production chain in Brazil. The biodiesel production chain consists of three main agents： the farmers, the soybean processing plants and the oil refinery/distributor. For the farmers organized in cooperatives the central decision is whether to sell oil-bearing crops for the production of biodiesel. In contrast, for the soybean processing plants that convert the crops into vegetable and/or biodiesel, the decision to produce this fuel is based on the wish to expand their market portfolio. Government tax incentives strongly influence both decisions regarding which oil-bearing crop to use and the amount of vegetable oil to be transformed into biodiesel. Finally, the oil refinery/distributor is obliged by law to mix the biodiesel with the mineral diesel and perceives this as a liability. The results show the existence of different characteristics linked to the decision-making process and a significant lack of synchronicity in the aims and motivations behind the agents＇ decisions. This state of decisional misalignment leads to heightened uncertainty regarding the sustainability of the Brazilian biodiesel production program.
