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

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