Kharazmi University International Journal of Supply and Operations Management 23831359 1 2 2014 08 01 A Literature Review on the Fuzzy Control Chart; Classifications & Analysis 167 189 2046 10.22034/2014.2.03 EN Mohammad Hossein Zavvar Sabegh Kharazmi University, Tehran, Iran Ablofazl Mirzazadeh Kharazmi University, Tehran, Iran Saber Salehian Kharazmi University, Tehran, Iran Gerhard Wilhelm Weber Middle East Technical University,Ankara, Turkey Journal Article 2014 08 02 Quality control plays an important role in increasing the product quality. Fuzzy control charts are more sensitive than Shewhart control chart. Hence, the correct use of fuzzy control chart leads to producing better-quality products. This area is complex because it involves a large scope of industries, and information is not well organized. In this research, we provide a literature review of the control chart under a fuzzy environment with proposing several classifications and analysis. Moreover, our research considered both attribute and variable control chart by analyzing the related researches based on the content analysis method, to classify past and current developments in the fuzzy control chart. This work has included a distribution of articles according to the journal, the case studies related to fuzzy control chart, the percentage of types of fuzzy control charts used in the literature, performance evaluation of the fuzzy control chart and summary of key points of each review paper. Finally, this paper discusses some future research direction and our overviews. The results of this study can help researchers become familiar with well-known journals, fuzzy control charts used in sample case studies, and to extract key points of each paper in minimum time. Fuzzy Control Chart Fuzzy Set Theory Literature Review Conceptual Classification http://www.ijsom.com/article_2046_f66cf3d0a52ee7650756e8627102de9e.pdf