Optimizing components selection for configurable product using quality function deployment

A new method for optimizing components selection for configurable product is proposed based on quality function deployment (QFD) to minimize the difference between the customer´s expectation and the selected product. The model is converted into an equivalent linear integer-programming model to facilitate the solving approach. An illustrative example from applying this method is presented to prove the feasibility and effectiveness of the model. The computation result shows that the mapping relations among the customer requirements, technical attributes and component attributes are developed by matrices of house of quality (HoQ), and the optimal solution corresponds with the customer´s requirements reasonably.