Overview
- Describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development
- Approaches enable precise prediction of product development performance
- Valuable for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications
Part of the book series: Computational Intelligence Methods and Applications (CIMA)
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About this book
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.
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Keywords
Table of contents (6 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Dr. Marcin Relich 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.
Bibliographic Information
Book Title: Decision Support for Product Development
Book Subtitle: Using Computational Intelligence for Information Acquisition in Enterprise Databases
Authors: Marcin Relich
Series Title: Computational Intelligence Methods and Applications
DOI: https://doi.org/10.1007/978-3-030-43897-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-43896-8Published: 23 November 2020
Softcover ISBN: 978-3-030-43899-9Published: 23 November 2021
eBook ISBN: 978-3-030-43897-5Published: 22 November 2020
Series ISSN: 2510-1765
Series E-ISSN: 2510-1773
Edition Number: 1
Number of Pages: XII, 114
Number of Illustrations: 39 b/w illustrations, 16 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Innovation/Technology Management