Abstract

Autonomous driving is undoubtedly one of the most strategically relevant and financially promising developing industries. The requirements for autonomous driving systems’ reliability are dramatically higher than in the driver-based car industry. This study explores a model to identify the structure and evaluate the critical success factors (CSFs) of total quality management (TQM) in the autonomous driving industry. Fifteen CSFs are defined according to the expected ecosystem of autonomous driving. VDA and IATF 16,949 quality systems are used as starting points for deriving the CSFs for an autonomous driving TQM system (AD-TQM). The CSFs are integrated into a framework to reveal their effects and interdependencies. The framework is qualitatively empirically tested and designed to be employed as a model for future (quantitative empirical) research.

Highlights

  • Autonomous driving is undoubtedly one of the most strategically relevant and financially promising developing industries

  • This paper provides a model that states the role of each member of an autonomous driving system and derives the new critical success factors of total quality management in this upcoming new industry

  • The hypothesis for CSF2 of technical perspective (TP) 1 of autonomous driving (AD)-total quality management (TQM) can be stated as: 7. An emergency plan for products, processes, services, and systems that incorporates all five layers must be integrated into the ecosystem

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Summary

13.1. The audit process should be performed for all five layers in the ecosystem

To avoid responsibility for potential accidents, as well as increase the trust and purchasing motivations of the end-users, a suitable application environment of autonomous driving with automated measurements should be defined and a stop (no drive) function, which operates when environmental factors are out of application range, should be integrated into the S-Cars. A suitable application environment (temperature range, dampness range, visual clarity, road conditions, etc.) with integrated automated measurements and a stop (no drive) function, which operates when environmental factors are out of application range, should be implemented for the S-Cars According to (VDAB, 2011) and (VDAR, 2009), the special characteristics of the vehicles are defined at three levels: (1) special characteristics related to safety (high level), (2) special characteristics related to legal and regulatory requirements (medium level), and (3) special characteristics related to functional requirements (low level). An emergency plan for products, processes, services and systems that incorporates all five layers must be integrated into the ecosystem

Improvement
36.9 Billion US Dollar
28. The audit process should be performed for all five layers in the ecosystem
34. Conclusion and outlook
Result

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