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Decision Support for Product Development : Using Computational Intelligence for Information Acquisition in Enterprise Databases / by Marcin Relich.
- Format:
- Book
- Author/Creator:
- Relich, Marcin., Author.
- Series:
- Computer Science (SpringerNature-11645)
- Computational intelligence methods and applications 2510-1773
- Computational Intelligence Methods and Applications, 2510-1773
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computational intelligence.
- Technological innovations.
- Artificial Intelligence.
- Computational Intelligence.
- Innovation and Technology Management.
- Local Subjects:
- Artificial Intelligence.
- Computational Intelligence.
- Innovation and Technology Management.
- Physical Description:
- 1 online resource (XII, 114 pages) : 55 illustrations, 16 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-43897-5
- 9783030438975
- Access Restriction:
- Restricted for use by site license.
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