Decision Support for Product Development: Using Computational Intelligence for Information Acquisition in Enterprise Databases
3030438961, 9783030438968
This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-maki
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