Symbolic Boolean manipulation with ordered binary-decision diagrams
ACM Computing Surveys (CSUR)
Triangulation in decision support systems: algorithms for product design
Decision Support Systems
Genetic algorithms for product design
Management Science
Stated choice methods: analysis and application
Stated choice methods: analysis and application
A market-based allocation mechanism for the DiffServ framework
Decision Support Systems
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
The Analytic Hierarchy Process--An Exposition
Operations Research
A Multiple Attribute Utility Theory Approach to Ranking and Selection
Management Science
An agent for selecting optimal order set in EC marketplace
Decision Support Systems - Special issue: Knowledge management technique
Multiple attribute decision making considering aspiration-levels: A method based on prospect theory
Computers and Industrial Engineering
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Selection of a final design for a new product that is to be introduced in the market is a very critical step in the new product development process. The selection needs to consider three factors of importance: anticipated market demand for the design, designers' preferences, and uncertainty in achieving predicted design attribute levels under different usage conditions and situations. We propose a generalized purchase modeling approach that considers all of the above factors and develop a customer based expected utility metric that forms the basis for a Decision Support System (DSS) for supporting the selection in product design. We illustrate the modeling approach and the use of DSS with the help of a case example that highlights the utility of the proposed DSS.