QUALITY PREDICTION MODELING OF FASTENER PRODUCTION PROCESS USING FUZZY AHP AND DEFORM SIMULATION

摘要

This paper proposes to model quality prediction of fastener production process by using fuzzy-AHP and Deform simulation. Several quality dimensions are concerned including completion, costs, energy and time. For quality fields could not been detected until the final process. The proposed advanced strategies can predict the product quality at the beginning on basic of the previous and explicit knowledge. The multi-criteria decision making is needed to consider along the designing processes including machine production process, punch and die design, product characteristics. In view of the traditional design using deform simulation data based on an experienced operator, fuzzy AHP can help the process design considering in different hierarchy and variety of parameters including handling with complex products. The modeling results are compared with Deform simulation and show good performance.