Product Development: State of the Art and Challenges -- Model for Formulating Decision Problems Within Portfolio Management -- Method for Supporting Product Development -- A Decision Support System for Portfolio Management of NPD Projects -- Implications for Management
Summary
This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling. The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications
