Customer preferences Fuzzy Clustering based dynamic multivariate process quality control method
- https://doi.org/10.2991/icsmim-15.2016.103How to use a DOI?
- customer preference. fuzzy c-means. fuzzy clustering. dynamic process quality control
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/icsmim-15.2016.103 ID - Yang2016/01 ER -