Futuristic model to improve the capabilities of technology transfer in automotive safety systems

Subject Areas : Futurology

AMIR REZA NAKHAEI ¹ , Soleyman Iranzadeh ² , mehrdad Hosseini Shakib ³

1 - Student of Tehran Science and Research Branch Islamic Azad University
2 - Professor, Department of Industrial Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran
3 - Department of Industrial Management , Faculty of Management & Accounting , Karaj Branch , Islamic Azad University , Karaj , Iran

Received: 2020-07-09 Accepted : 2020-12-21 Published : 2022-08-23

Keywords: Fuzzy Inference System, technology, automotive safety system, Future technology transfer projects, technology transfer,

Abstract :

Background: Car safety systems, as one of the most important parts of the automotive industry, to improve quality and prepare for the future, require the identification of modern technologies and appropriate methods of their transmission.Objective: The aim of this study is to identify the components of improving the transmission capabilities of technology in automotive safety systems and to analyze the relationships between them with a forward-looking approach.Methods: This study is applied and descriptive survey study and based on mathematical modeling with fuzzy inference system. Using previous literature and research studies and interviews with 11 experts from automotive safety systems companies, indicators are identified and categorized. And to analyze the relationships between the factors, the fuzzy inference approach with Matlab software are used.Results: 20 indicators are identified and categorized into 4 components. The localization and deployment component of technology with the first rank and 34.38% weight criterion is the most important variable and the identification and selection of technology with 19.66 weight criterion is in the last rank.Conclusion: senior executives and automakers should pay special attention to the indicators of the capability of localize and deploy technology.