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<p>Rapid product development (RPD) is critical to enterprise success, directly influencing product innovation and competitiveness. Although conceptually aligned with digital transformation, existing studies have not addressed the integration of the V-model, variant design, and digital technologies within the RPD context. Building on this premise, this paper proposes a digital variant design V-model that accelerates the RPD process by leveraging existing design resources and digital tools. The model’s left branch focuses on verification phases that progressively refine product requirements, variant design, and development specifications. The right branch encompasses validation phases that assess product models and system integrations, digitally or physically, up to the manufacturing stage. A case study involving the development of an electric water pump demonstrated the model’s effectiveness, yielding an average 55% reduction in development cycle time, an 83% decrease in fine-tuning iterations, and a 72% cost reduction compared to conventional approaches. The findings offer practical implications by presenting a structured and digitally enabled approach to enhance RPD in modern manufacturing environments.</p>

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Digital variant design V-model for rapid product development

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月27日

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  • Pei Sen Liu,
  • Jeng Feng Chin,
  • Hasnida Ab-Samat,
  • Zhi Ping Xie

摘要

Rapid product development (RPD) is critical to enterprise success, directly influencing product innovation and competitiveness. Although conceptually aligned with digital transformation, existing studies have not addressed the integration of the V-model, variant design, and digital technologies within the RPD context. Building on this premise, this paper proposes a digital variant design V-model that accelerates the RPD process by leveraging existing design resources and digital tools. The model’s left branch focuses on verification phases that progressively refine product requirements, variant design, and development specifications. The right branch encompasses validation phases that assess product models and system integrations, digitally or physically, up to the manufacturing stage. A case study involving the development of an electric water pump demonstrated the model’s effectiveness, yielding an average 55% reduction in development cycle time, an 83% decrease in fine-tuning iterations, and a 72% cost reduction compared to conventional approaches. The findings offer practical implications by presenting a structured and digitally enabled approach to enhance RPD in modern manufacturing environments.