Network modeling for automotive research and development community based on an open hardware platform at SAIPA Group
Subject Areas : FuturologyMohammad ali Keramati 1 * , Massoud Shabaab 2
1 - Management Faculty.Islamic Azad University Central Tehran Branch.Tehran. Tehran
2 - Ph.D. Student in Technology Management, Faculty of Management, Islamic Azad University, Central Tehran branch, Tehran, Iran
Keywords: Automotive Research and Development, Technological Collaborations, Common Platform, Open Source Hardware, Open Design, Multilayer Networks, Fuzzy Cognitive Maps,
Abstract :
Companies and technical communities always work together to create standards, a common infrastructure and use the results of innovation. These collaborations can be called in the framework of information sharing for designing hardware and other physical objects as technological collaborations. The entities that should participate in this particular platform and the relationship model between them are unknown. The aim of this study was identifying technological collaborations in the automotive research and development network and developing model of relationships between the various components of the network. The research and development network in Saipa Group was selected as this research case, which included different levels of developers, aggregators and automakers. In order to conduct the research, Fuzzy Cognitive Maps and mathematical model for Multilayer Networks were used according to the type of data in each phases. According to the research findings, the network of technological cooperation in automotive research and development includes three groups of developers (with reciprocal relationship), aggregators (existence of with reciprocal relationship between some members) and automaker. Communications between different members were formed as intra-group and inter-group in terms of cost and value, and according to the optimal model of these connections, it creates effects that lead to the formation of a common platform with minimum cost and maximum value for vehicle research and development.