Abstract

A good product must satisfy the standard of corresponding quality characteristic. A product is categorized as defect when its quality characteristic out of its specification limit. The measurement of quality characteristic may produce error because it measures quality around its actual value instead of the actual value itself. This measurement error can produce an ambiguity. Some approaches have been developed to tackle this ambiguity problem. This research employed T2 Hotelling Fuzzy and W2 control chart with probability approach to deal with this issue. The proposed methods were applied to monitor the wheat flour production process. Three variables, multivariate processes, were used to identify the product quality such as moisture, gluten, and ash. The membership function used fuzzy approach is a combination of trapezoidal and linear curves. This research concluded that W2 control chart with probability approach performed better than T2 Hotelling Fuzzy control chart.

Original languageEnglish
Title of host publication2016 Conference on Fundamental and Applied Science for Advanced Technology, ConFAST 2016
Subtitle of host publicationProceeding of ConFAST 2016 Conference Series: International Conference on Physics and Applied Physics Research, ICPR 2016, International Conference on Industrial Biology , ICIBIO 2016, and International Conference on Information System and Applied Mathematics, ICIAMATH 2016
EditorsRara Sandhy Winanda, Qonitatul Hidayah, Iwan Tri Riyadi Yanto, Nursyiva Irsalinda, Oktira Roka Aji, Damar Yoga Kusuma, Syarifah Inayati
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735414037
DOIs
Publication statusPublished - 17 Jun 2016
Event2016 Conference on Fundamental and Applied Science for Advanced Technology, ConFAST 2016 - Yogyakarta, Indonesia
Duration: 25 Jan 201626 Jan 2016

Publication series

NameAIP Conference Proceedings
Volume1746
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2016 Conference on Fundamental and Applied Science for Advanced Technology, ConFAST 2016
Country/TerritoryIndonesia
CityYogyakarta
Period25/01/1626/01/16

Keywords

  • Fuzzy set
  • Membership function
  • Multivariate control charts
  • Probability

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