Decision Support for Product Development: Using Computational Intelligence for Information Acquisition in Enterprise Databases - Brossura

Relich, Marcin

Brossura

ISBN 10: 3030438996 ISBN 13: 9783030438999

Casa editrice: Springer, 2021

Riassunto

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.

Su questo libro

Informazioni sull?autore

<p>Dr. <b>Marcin Relich</b> is a member of the Faculty of Economics and Management of the University of Zielona Gora. He is a lecturer in the Dept. of Controlling and Computer Applications in Economics, where he teaches IT in Economics and Management, Business Data Analysis, Management Information Systems, Decision-Support Systems, Decision Analysis, Business Simulations, and Project Management. His research interests include Management Information Systems (incl. Decision-Support Systems and Enterprise Resource Planning Systems), Project Management (incl. new product development), and early warning systems in business.</p>

Dalla quarta di copertina

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.&nbsp;<div><br></div><div>The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.</div>

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030438996
• ISBN 13: 9783030438999
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 128
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania