This study aims to enhance the efficiency of the after-sales service (A/S) process for commercial trucks by implementing a data-driven approach. Traditional A/S methods result in long repair wait times, especially for intermittent faults requiring symptom reproduction. To address this, a system that records Diagnostic Trouble Code (DTC) and Vehicle Running Mode (VRM) data at failure moments is proposed. By storing data from 10 seconds before and after an event, fault diagnosis can be performed without symptom reproduction. Additionally, for exported vehicles, stored data enables remote analysis, overcoming real-time data limitations due to varying environmental factors. This approach improves maintenance reliability, optimizes repair accuracy, and supports proactive quality improvements for newly developed vehicles.

Abstract
1. 서 론
2. Maintenance Assistance System단말 기 개발
    2.1 차량용 전장품 통신 인터페이스 통합 설계
    2.2 고장 및 주행 정보 취득 시스템 개발
    2.3 차량 전장품 DTC 운영 프로그램 개발
    2.4 차량 전장품 VRM 운영 프로그램 개발
3. 성능검증
4. 결 론
후 기
References

• 김은호(Kunsan National University Industry-Academic Cooperation Foundation Advanced Technology Institute for Convergence) | Eun Ho Kim Corresponding author
• 심기중(Principal Researcher at the Advanced Technology Institute for Convergence, Kunsan National University Industry-Academic Cooperation Foundation) | Ki Joong Sim
• 한상혁(Inoca Co., Ltd.) | Sang Heuck Han