Customer preferences Fuzzy Clustering based dynamic multivariate process quality control method

DOI

10.2991/icsmim-15.2016.103How to use a DOI?

Keywords

customer preference. fuzzy c-means. fuzzy clustering. dynamic process quality control

Abstract

Faced with fierce competition and various customer demands in marketplaces, manufacturers need to determine the appropriate settings of statistical quality control criterion for dynamic batches composed of similar products with different customer preferences so that the best customer satisfaction and minimized production cost can be obtained. To achieve this, functional models of dynamic batch generating and customer preferences related to quality control criterion need to be developed. In this paper, a dynamic statistical quality control model considering customer preferences is suggested to solve such statistical quality control problems. Production batches with appropriate quality control criterion are formed regarding various customer preferences, and the small sample capacity for applying SPC is considered. Our application results in special steel product process quality designs which involves various customer preferences is presented to demonstrate the effectiveness of the proposed method.Introduction.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jingping Yang
AU  - Wanlei Wang
AU  - Shikuan Zhou
AU  - Bin Wu
PY  - 2016/01
DA  - 2016/01
TI  - Customer preferences Fuzzy Clustering based dynamic multivariate process quality control method
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 559
EP  - 564
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.103
DO  - 10.2991/icsmim-15.2016.103
ID  - Yang2016/01
ER  -