Modeling Recalls for Automobiles

Managing the product recalls in automotive industry is a crucial and relevant problem which impacts human lives and ensures secure operation of automobiles. Recalls of products deals with withdrawing vulnerable products from the marketplace, thus optimizing the corporate's liability for their negligence. The existing techniques and technologies available for product recall management has a deficit of transparency showing recall data patterns depicting the recall urgency derived from its potential risks. This study provides a structured approach which reveals patterns inherent in recall data and classifies the recalls based on its potential risks. The outcome offers relevant insights for manufacturers and regulatory bodies, facilitating in improving the recall management processes and strengthen public safety by treating critical vehicle defects within proper timeline.