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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
HUANG, H. Z., LI, Y. H., XUE, L. H, (2005) A comprehensive evaluation model for assessments of grinding machining quality. Advances in Abrasive Technology Viii, 291-292, 157-162.
LIU, J., LI, C.-F., SUN, W., WEN, B.-C, (2007) Generalized evaluation based on AHP/grey theory for product quality. Dongbei Daxue Xuebao/Journal of Northeastern University, 28, 1608-1611.
YANG, C.-C., CHEN, B.-S, (2004) Key quality performance evaluation using fuzzy AHP. Journal of the Chinese Institute of Industrial Engineers, 21, 543-550.
ZHAI, L.-Y., KHOO, L.-P., FOK, S.-C, (2002) Feature extraction using rough set theory and genetic algorithms - An application for the simplification of product quality evaluation. Computers and Industrial Engineering, 43, 661-676.
WANG, F. K, (2006) Quality evaluation of a manufactured product with multiple characteristics. Quality and Reliability Engineering International, 22, 225-236.
YAN-CHAO, Y., LIN-FU, S., CHENG, G, (2008) A policy of conflict negotiation based on fuzzy matter element particle swarm optimization in distributed collaborative creative design. Computer Aided Design, 1009-1014.
ZHAO, Y. W., ZHANG, G. X, (2002) A new integrated design method based on fuzzy matter-element optimization. Journal of Materials Processing Technology, 129, 612-618.
JIANG, R., LIAO, H., YU, J., FENG, T., ZHAO, C., LI, J, (2009) A model based on information entropy to measure developer turnover risk on software project. 2009 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2009), 419-422.
JIN, F., DING, S., WANG, J, (2008) Principal components projection decision-making based on information entropy weight. 2008 Chinese Control Conference (CCC), 413-416.
AL-AHMARI, A. M. A, (2007) Evaluation of CIM technologies in saudi industries using AHP. International Journal of Advanced Manufacturing Technology, 34, 736-747.
MAHDI, I. M., ALRESHAID, K, (2005) Decision support system for selecting the proper project delivery method using analytical hierarchy process (AHP). International Journal of Project Management, 23, 564-572.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag London Limited
About this paper
Cite this paper
Zhang, G., Pang, J., Chen, G., Ren, X., Ran, Y. (2010). An Evaluation Method Based on Multiple Quality Characteristics for CNC Machining Center using Fuzzy Matter Element. In: Hinduja, S., Li, L. (eds) Proceedings of the 36th International MATADOR Conference. Springer, London. https://doi.org/10.1007/978-1-84996-432-6_36
Download citation
DOI: https://doi.org/10.1007/978-1-84996-432-6_36
Publisher Name: Springer, London
Print ISBN: 978-1-84996-431-9
Online ISBN: 978-1-84996-432-6
eBook Packages: EngineeringEngineering (R0)