Decision Support for Product Development: Using Computational Intelligence for Information Acquisition in Enterprise Databases 3030438961, 9783030438968

Table of contents :
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

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