Autocorrelated Multivariate Contro Chart in Cooking Oil Industry

Pudjihardjo, Ivan, Mulyana, Ig. Jaka and Asrini, Luh Juni (2019) Autocorrelated Multivariate Contro Chart in Cooking Oil Industry. In: Proceeding of he International Conference and Industrial Engineering and Operations Management, March 5-7, 2019, Bangkok, Thailand, ISBN: 978-1-5323-5948-4, ISSN: 2169-8767.

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Abstract

In this article will be discussed about the implementation of control chart in cooking oil industry. Cooking oil has some parameters of quality i.e. Free Fatty Acid (FFA), Peroxide Value (PV), Iodine Value (IV), color (Red and Yellow), Moisture Content, Cloud Point (CP), Cloud Stability (CS) and Freezing Point. The observed data of cooking oil quality parameters shows that the data is autocorrelated. Therefore, residual mapping based on forecasting results from the time series model is used to construct autocorrelated multivariate control chart. In the multivariate T2 Hotelling control chart of the residual VAR model (2) for chemical factor has a upper control limit (UCL) value of 22.18 and a median of 3.60. The T2 Hotelling control chart of the residual VAR model (2) for physical factors has a control upper control limit (UCL) of 21.59 and a median value of 3.63.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: quality control, multivariate control chart, autocorrelated.
Subjects: Engineering > Industrial Engineering
Divisions: Proceeding
Depositing User: F.X. Hadi
Date Deposited: 02 Feb 2021 06:02
Last Modified: 19 Apr 2021 07:43
URI: http://repository.ukwms.ac.id/id/eprint/25139

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