Evaluating the Packing Process in Food Industry Using Fuzzy X and S Control Charts
- https://doi.org/10.2991/ijcis.2011.4.4.10How to use a DOI?
- Fuzzy, fuzzy standard deviation
The fuzzy set theory addresses the development of concepts and techniques for dealing with uncertainty or impression conditions. If the collected data from a process include vagueness due to human subjectively or measurement system, fuzzy control charts are available tools for monitoring and evaluating the process. The main contribution of fuzzy control charts is to provide flexibility to the control limits. When sample mean is too close to the control limits and the used measurement system is not so sensitive, the decision may be faulty. In this paper, the fuzzy standard deviation is firstly introduced to obtain fuzzy X and S control charts and then these fuzzy control charts are employed in food industry to monitor if the processes are under control or not. Additionally, the fuzzy X and S control charts are developed for the case that the population parameters are known.
- © 2011, 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 - JOUR AU - Nihal Erginel AU - Sevil Senturk AU - Cengiz Kahraman AU - Ihsan Kaya PY - 2011 DA - 2011/06/01 TI - Evaluating the Packing Process in Food Industry Using Fuzzy X and S Control Charts JO - International Journal of Computational Intelligence Systems SP - 509 EP - 520 VL - 4 IS - 4 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2011.4.4.10 DO - https://doi.org/10.2991/ijcis.2011.4.4.10 ID - Erginel2011 ER -