Product Design Optimization Via Conjoint Analysis

In this research, the product design optimization is addressed. The objective is to maximize an objective value such as margin, revenue or market share by composing a product based on multiple attributes. The Nested Partition (NP) method in com- bination with Genetic Algorithms (GA) and a machine learning method (CTREE) is used to optimize margin for a hairdryer manufacturer. Methods lead to high increases in margin compared to the current scenario in the hairdryer market.