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This study proposes a generalized Risk-Based Approach (RBA) methodology by adapting the development assurance processes used in aviation, such as ARP4754B and SORA, for broader industrial applications beyond safety-critical domains. The proposed method enables the optimization of resource allocation under high uncertainty by adjusting the rigor of response according to the impact level of each business risk. An application case in the sports industry demonstrates the method's utility in optimizing the quality standards of badminton rackets. As a result, 7 critical risks were identified for increased resource allocation, while 14 lower-impact risks were rationally simplified, reducing resource usage without compromising acceptable risk levels. The approach proved effective in achieving internal consensus, enabling simultaneous reinforcement and streamlining of processes. This research contributes to both academia and practice by offering a structured, scalable RBA framework applicable across domains, especially in innovation-driven product development under constraints. Future work will refine robustness quantification and explore applicability to other sectors such as services and infrastructure.
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Matsuhashi et al. (2025) studied this question.
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