Applying the WOWA operator for Digital Requirements Prioritization in the Automotive Industry

This study presents a novel framework for prioritizing digital requirements in the automotive industry, with a specific focus on SEAT S.A.’s Digital Business department. Addressing the challenge of managing multiple digital projects under economic and workforce constraints, the proposed approach adopts a data-driven methodology based on the Weighted Ordered Weighted Average (WOWA) operator. By aggregating diverse input criteria into a single ordinal score, the framework enables objective prioritization of digital initiatives according to their potential business impact. Its effectiveness is demonstrated through a real-world case study at SEAT S.A., where the framework provides a structured and transparent basis for decision-making. Monte Carlo simulation results confirm the robustness of the model, showing strong agreement between predicted and actual prioritizations.

• Publication year

  2025

• Venue

  IEEE International Conference on Fuzzy Systems

• Publication date

  2025-07-06

• Fields of study

  Business, Engineering, Computer Science

• Identifiers
  DOI 10.1109/FUZZ62266.2025.11152247
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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