Exploring the framework of automotive service accuracy problem solving skills using artificial intelligence technique

Name: W. Sudsomboon

Organization : Nakhon Si Thammarat Rajabhat University. Faculty of Industrial Technology

keyword: Automotive Mechatronics System

ThaSH: Artificial Intelligence

; Automotive Service Accuracy

ThaSH: Problem Solving

; Problem Solving Skills

Abstract: With the rapid growth of automotive mechatronics system, automotive service accuracy problem-solving skills has become standards continuously improve on customer demands, enhancing accuracy, reliability maintenance, safety, and maintenance cost. Artificial Intelligence (AI) technique have the potentially to perform operations for enhancing the learning and decision making by special emphasis on human cognitive processes. The objective of this research was to explore the framework of automotive service accuracy problem-solving skills based on artificial intelligence technique for Electronics Concentrated Engine Control System (ECCS) fault diagnosis as perceived by experts. The research methodology was qualitative research, which was conducted by focus-group interviews. The participants were 15 among automotive service experts from Nissan Training Center, Nissan Motors (Thailand) and Nissan Surat Piya (Nakhon Si Thammarat). Data was analyzed by the experts’ explorations of three basic tasks of automotive service accuracy problem-solving skills using artificial intelligence technique in ECCS fault diagnosis. The research found that these four themes covered a total of 4 themes and 12 sub-themes. Moreover, the data-driven were complementarily of automotive service technicians and AI technique in real-world situations decision-making. The famous machine learning algorithms are dealing to combine ANN and SVM methods tend to perform better for new applications. The proposed ASAPSS framework demonstrated a significant performance improvement of automotive service technicians for Nissan Motor (Thailand) and among undergraduate mechanical engineering students.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2020

Modified: 2020-05-26

Issued: 2020-05-26

บทความ/Article

application/pdf

BibliograpyCitation : In King Mongkut's University of Technology North Bangkok Faculty of Technical Education. The 7th International Conference on Technical Education 2020 (ICTechED 7th) (p.249-254). Bangkok : King Mongkut's University of Technology North Bangkok

eng

©copyrights King Mongkut's University of Technology North Bangkok

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