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.
Author(s): Marcin Relich
Series: Computational Intelligence Methods and Applications
Publisher: Springer
Year: 2021
Language: English
Pages: 114
City: Cham
Preface
Contents
Chapter 1: Product Development: State of the Art and Challenges
Product Development in Terms of a Systems Approach
Product Development Phases
Portfolio Management in Product Development
Project Selection Criteria
Project Selection Methods
Methods for Evaluating the Potential of a New Product
Scenario Analysis in the NPD Process
Summary
References
Chapter 2: Model for Formulating Decision Problems Within Portfolio Management
A Framework for Modelling Portfolio Management
A Constraint Satisfaction Problem
A CSP Framework for Portfolio Selection of NPD Projects
Problem Formulation
An Example of Project Portfolio Selection
A CSP Framework for Scheduling NPD Projects
Problem Formulation
An Example of Project Scheduling
A Forward Approach
An Inverse Approach
Summary
References
Chapter 3: Method for Supporting Product Development
A Review of Selected Computational Intelligence Techniques
Artificial Neural Networks
Fuzzy Logic
Neuro-fuzzy Systems
Computational Intelligence for Evaluating NPD Projects
Parametric Estimation Methods
An Example of Evaluating the Potential of a New Product
An Example of Evaluating the Customers’ Satisfaction
Constraint Programming for Simulating NPD Project Performance
Constraint Programming Techniques
An Example of Searching for Desirable Project Performance
Summary
References
Chapter 4: A Decision Support System for Portfolio Management of NPD Projects
Decision Support Systems for Product Development
Decisions Involved in Product Development
A Framework for Decision Support Systems
The Use of DSS in Different Product Development Phases
The Proposed Decision Support System
Summary
References
Chapter 5: Managerial Implications
Net Present Value Analysis
The Traditional Approach
The Proposed Approach
Summary
Chapter 6: Conclusions
Glossary
Index
