An Evaluation Method Based on Multiple Quality Characteristics for CNC Machining Center using Fuzzy Matter Element

Abstract

Most mechanical and electrical products have multiple quality characteristics (QCs) in practice. Since the traditional Taguchi method only focused on one characteristic to control quality of products, the methods of multiple QCs evaluation have become very important for complex manufacturing products. This paper presents an effective evaluation method for quality of computer numerical control (CNC) machining centers by using fuzzy matter element (FME), analytic hierarchy process (AHP) and information entropy. In this study, the multiple-attribute evaluation-making (MAEM) model was built by FME and AHP. Then, information entropy and AHP were adopted to compute the weights of the evaluation indexes of multiple QCs. Finally, these weights were applied to indicate the accurate quality level of CNC machining centers by compound FME. An example of quality evaluation for CNC machining centers was given to illustrate the effectiveness and feasibility of the proposed method.