Abstract: An analysis on muilti factors and uncertainty in the manufacturing equipment planning process is provided. Quality house analytic network process(ANP) model is constructed to describe the dependent and feedback relationships among the factors, such as customer performance requirement, customer process requirement and product engineering characteritics. Aiming at a conversion between the relationships, ANP weighted super matrix is replaced by fuzzy decision trial and evaluation laboratory(FDEMATEL) total relation matrix in order to obtain the engineering chanracteriscs intial importance degree. Based on systematic design idea, a fuzzy data envelopment analysis(FDEA) linear model is constructed to take into consideration the influence, which is caused by product competitiveness, service, cost, environment, and so on. In the FDEA model, an engineering characteritics is a decision making units(DMU); its initial importance degree and service effect are output; product competitiveness, cost and environment effect are input; normalized efficiency value is the DMU optimized importance degree. The intergrated model is illustrated on a case study problem in NC machine tools planning. The results are then validated, showing the overall soundness of the approach.

Key words: Process requirements, Product planning, Quality house, Requirements conversion