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

Relich, Marcin

Rilegato

ISBN 10: 3030438961 ISBN 13: 9783030438968

Casa editrice: Springer-Nature New York Inc, 2020

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.<p>The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.</p>

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-Nature New York Inc
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030438961
• ISBN 13: 9783030438968
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 128
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania