Abstract
In the era of technological development like now, industrial business one of the key factors in developing countries and manufacturing processes, both domestic and international. In the business world quality or product quality and productivity are the keys to success a company's production system because quality is the main factor for consumers in choosing products. Increasing demand of product will make increased levels of business competition too between companies so that companies are always required to increase customer satisfaction, among others by continuing to improve the quality of products. To have quality product, production process must be considered. Statistical Quality Control is suitable used to identify product's defects and to find factors that cause disabilities and defects that occur in order to support improvements in product quality in order to avoid more product defects. and Fuzzy FMEA is an efficient method in determining priority numbers of risk of failure of products to be identified prior to repair actions. The review of Statistical Quality Control (SQC) and Fuzzy FMEA case studies that are achieved Service Industry, the Product Manufacturing Companies, Renewable and Sustainable Energy, Construction Project and Healthy is showed in this paper.
Cite
CITATION STYLE
Ishak, A., Siregar, K., Ginting, R., & Manik, A. (2020). Implementation Statistical Quality Control (SQC) and Fuzzy Failure Mode and Effect Analysis (FMEA): A Systematic Review. In IOP Conference Series: Materials Science and Engineering (Vol. 1003). IOP Publishing Ltd. https://doi.org/10.1088/1757-899X/1003/1/012098
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