RESUMO
Background: In today's competitive industrial landscape, companies are focusing on developing diverse product portfolios to maintain a competitive edge. This trend has led to the adoption of product portfolio strategies aimed at enhancing customer satisfaction and optimizing resource utilization. Methods: This study introduces a model to enhance the design of weather radar products by integrating DEMATEL and Goal Programming (GP). The methodology involves identifying key indicators of variety in weather radar design, assessing component interdependencies, and determining component weightage for optimal functionality and cost-effectiveness. Results: The DEMATEL and GP approach proved effective in optimizing the product family structure for weather radar systems. Key results include the identification and prioritization of variety indicators, evaluation of component interdependencies, and determination of component weightage, resulting in a more precise and operational design. Conclusions: The proposed model for weather radar variety enhances customer satisfaction, meets market demands, and addresses the challenges of dynamic customer needs. This methodology offers valuable insights into managing product variety and complexity, enabling designers to quickly adapt to evolving customer requirements.