Commercial Surveys

Commercial Surveys

Design Technology Roadmap for Developing Machine Vision Technologies in Press and Body Shops of Iranian Automotive Industries

Document Type : operational

Authors
naser habibifar 1
Hamed salmanzadeh 2
Habib Karrari 3
Mohammadreza Bakhtiari 3
1 Ph.D. Candidate of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran
2 Faculty member of industrial engineering school, K. N. Toosi University of Technology, Tehran, Irab
3 Department of Engineering, Iran-khodro Co., Tehran, Iran
Abstract
 
Studies have shown that the use of machine vision systems in different processes of automotive industries is increasing dramatically in the majority of automobile companies in the world. Speed, precision, low cost, the simplicity of application and reliability of these systems are the most important reasons for the attractiveness of these systems in comparison with similar technologies. Therefore, Iranian automotive companies should develop solutions and strategies for using these systems.
Developing a roadmap can provide good information for managers to make better investments by identifying the various factors which should be considered in these systems. For this purpose, in this paper, designing a roadmap for developing machine vision technologies in press and body shops of Iranian automotive industries has been considered. the Sandia National Laboratory roadmap model is used. Using this model, the most important quality requirements of press and body shops identified, the most important criteria for using machine vision systems prioritized, the best systems for the desired purposes identified and ranked, and finally, practical solutions, that can be used by automotive industries to implement machine vision technologies, suggested.
 
Keywords
Machine Vision Technolohy / Technolohy Roadmap / Sandia National Laboratory /Model / Automotive Industries
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Commercial Surveys
Volume 18, Issue 104 - Serial Number 104
November and December 2021
Pages 45-62

  • Receive Date 11 June 2019
  • Revise Date 13 March 2020
  • Accept Date 25 March 2020