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February 12, 2026Design Science0 citationsOpen Access

A design science approach methodological framework for conceptualizing multi-disciplinary products: cyber-physical vehicle case

HAHaider Al-FedhlyWEWaguih ElMaraghy

Key Points

  • The aim is to create a comprehensive framework for designing cyber-physical vehicle systems that manage interdisciplinary complexities.
  • Developed a conceptual design framework combining the abstractional design method (ADM) and inter-coupling index (ICX)
  • Utilized a case study to analyze a CPV acceleration module
  • Evaluated inter-component dependencies and risks of cascading failures during the design process
  • Identified indirect coupling and cascading failure risks early in the design process
  • Created a metric (ICX) for assessing the degree of inter-dependency among system components
  • Demonstrated a reduction in system vulnerability while preserving functional intent

Abstract

Abstract Designing complex products increasingly requires integrative methodologies that address the rising challenges of multi-disciplinary complexity and functional inter-dependencies. This article proposes a conceptual design framework that combines the abstractional design method (ADM) with a novel inter-coupling index (ICX) to model and manage inter-component dependencies within cyber-physical vehicle (CPV) systems. The ADM provides a unified object-based representation of system components through functional and attribute abstraction, facilitating shared understanding across disciplines. The ICX quantitatively captures the degree of inter-dependency among system elements, offering a new metric for evaluating design complexity. A case study of a CPV acceleration module demonstrates how indirect coupling and cascading failure risks can be identified and mitigated in the early design process. The methodology supports the decomposition and synthesis of design architectures while preserving functional intent and reducing system vulnerability. This research contributes a transferable and scalable approach to conceptual system design in multi-disciplinary domains.

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Cite This Study

Al-Fedhly et al. (2026) studied this question.

synapsesocial.com/papers/698d6d795be6419ac0d52766https://doi.org/10.1017/dsj.2026.10052
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