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

by Marcin Relich

Overview

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.

Product Details

ISBN-13:	9783030438975
Publisher:	Springer-Verlag New York, LLC
Publication date:	11/22/2020
Series:	Computational Intelligence Methods and Applications
Sold by:	Barnes & Noble
Format:	eBook
File size:	12 MB
Note:	This product may take a few minutes to download.

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.

Table of 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.