Demand-oriented multi-objective planning method for electronic product technology development

•Customer satisfaction based QFD assesses the satisfaction level of each technology.•The identification mode determines the way to obtain a technology.•A multi-objective evaluation model assesses the performance of planning strategies.•A MOGA creates an optimal planning strategy for product technology development.

In this study, a demand-oriented multi-objective planning method is proposed for electronic product technology development. The proposed method uses the analytical hierarchy process to analyze the relative importance of each customer demand. Subsequently, quality function deployment is used to analyze the relationships between customer demands and product technologies, as well as for evaluating the customer satisfaction level for each electronic product that is being implemented. By using a model to identify the life-cycle stage of the product technology, each electronic product technology is classified in order to determine how to obtain the technology. A multi-objective evaluation model of planning strategies is obtained for electronic product technology development to evaluate the performance of different planning strategies. A multi-objective genetic algorithm is utilized to help companies efficiently establish an optimal planning strategy for electronic product technology development with the maximum customer satisfaction level and minimum product development cost. Finally, a case study of a green smart phone development project is provided to demonstrate and verify the practical contributions of the proposed method.