The robust design for improving crude palm oil quality in Indonesian Mill

Autor:	Siti Maretia Benu, Nazaruddin Matondang, Sukaria Sinulingga, Irwan Budiman
Rok vydání:	2018
Předmět:	History Moisture media_common.quotation_subject Raw material Pulp and paper industry Computer Science Applications Education Taguchi methods Signal-to-noise ratio (imaging) Palm oil Mill Quality (business) Orthogonal array Mathematics media_common
Zdroj:	Journal of Physics: Conference Series. 1007:012031
ISSN:	1742-6596 1742-6588
Popis:	This research was conducted in palm oil mill in Sumatra Utara Province, Indonesia. Currently, the main product of this mill is Crude Palm Oil (CPO) and hasn't met the expected standard quality. CPO is the raw material for many fat derivative products. The generally stipulated quality criteria are dirt count, free fatty acid, and moisture of CPO. The aim of this study is to obtain the optimal setting for factor's affect the quality of CPO. The optimal setting will result in an improvement of product's quality. In this research, Experimental Design with Taguchi Method is used. Steps of this method are identified influence factors, select the orthogonal array, processed data using ANOVA test and signal to noise ratio, and confirmed the research using Quality Loss Function. The result of this study using Taguchi Method is to suggest to set fruit maturity at 75.4-86.9%, digester temperature at 95°C and press at 21 Ampere to reduce quality deviation until 42.42%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::53eb79b2375898786449d048b5d2b3df https://doi.org/10.1088/1742-6596/1007/1/012031 Zobrazit plný text záznamu