Selection of Optimal Factor Level From Process Parameters in Palm Oil Industry

2nd Annual Applied Science and Engineering Conference

工业技术;自然科学

Ginting, E.^1 ; Tambunan, M.M.^1

Department of Industrial Engineering, Faculty of Engineering, Universitas Sumatera Utara, Medan

20155, Indonesia^1

关键词: Drying temperature;    Oil industries;    Orthogonal array;    Process parameters;    Quality data;    Side products;    Tolerance limits;    World commodities;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/288/1/012056/pdf
DOI  :  10.1088/1757-899X/288/1/012056

来源: IOP

【 摘 要 】

Kernel is side product from palm oil industry. Kernel is a world commodity therefore the quality must be standarized to international trade. The quality of kernel is influenced by dirt content and moisture. If the product doesnt fulfill the standard then the product is categorized reject. The result from the process are affected by ripple mill, drying temperature and cycling fan. Based on the kernel quality data this kind of industry is still exceed tolerance limit from moisture and dirt content, therefore need to be reduced. This paper describe the application of Taguchi Method for the selection of optimal factor level from the process to get a minimum dirt content and moisture. Orthogonal Array has been selected considering the various factor and levels, taguchi is applied to obtain the combination of factor and its levels to get the minimum dirt content and moisture. The result form this paper is the factor that influence the defect are speed of ripple mill is 1300 rpm, drying temperature 650C and winowing cyclone fan level machine is level 3. By using factor and its level, moisture content is reduced 0,316% and the dirt content is 0,386% from the existing production.