Decision Support for Product Development : Using Computational Intelligence for Information Acquisition in Enterprise Databases
Relich, Marcin
Decision Support for Product Development : Using Computational Intelligence for Information Acquisition in Enterprise Databases by Marcin Relich - First edition 2021 - 1 recurso en línea (XII, 114 páginas) 55 ilustraciones, 16 ilustraciones a color - Computational Intelligence Methods and Applications 2510-1765 .
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.
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.
9783030438975
10.1007/978-3-030-43897-5 doi
Inteligencia artificial
Nuevos productos
Q335 / 2021 EB
Decision Support for Product Development : Using Computational Intelligence for Information Acquisition in Enterprise Databases by Marcin Relich - First edition 2021 - 1 recurso en línea (XII, 114 páginas) 55 ilustraciones, 16 ilustraciones a color - Computational Intelligence Methods and Applications 2510-1765 .
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.
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.
9783030438975
10.1007/978-3-030-43897-5 doi
Inteligencia artificial
Nuevos productos
Q335 / 2021 EB