The Application of the Box-Jenkins (BJ) Method for Process Identification of the Batch Milk Cooling System

Agustriyanto, Rudy and Setyopratomo, Puguh and Mochni, Endang Srihari (2023) The Application of the Box-Jenkins (BJ) Method for Process Identification of the Batch Milk Cooling System. In: Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023), 14-15 September 2023, Yogyakarta.

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The Box-Jenkins (BJ) method is a well-known system identification method that has been applied in several fields. Engineers use the Box-Jenkins method for quality control and process optimization in manufacturing. It can identify patterns and trends in production data, leading to improvements in product quality and efficiency. This study presents the application of the BJ method for the identification of a batch milk cooling process. The primary goal of this research is to create a model for the batch milk cooling process, intending to ease the control and enhance the optimization of milk cooling procedures. The data used in this study was collected from a batch milk cooling process over a period of time generated from Simulink. The BJ method was applied to the data to obtain the process transfer function. The model was then used to simulate the batch milk cooling process and tested for different perturbations. The findings indicated that the BJ method effectively represented the batch milk cooling process with high accuracy. The final result obtained from the BJ method is: 0.02361/(s+0.02361) which corresponds to 1/(42.3549s+1).

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Box-Jenkins; Simulation; Dynamic Study; Milk Cooling
Subjects: T Technology > TP Chemical technology
Divisions: Faculty of Engineering > Department of Chemical Engineering
Depositing User: Rudy Agustriyanto, M.Sc 199005
Date Deposited: 23 Nov 2023 04:23
Last Modified: 23 Nov 2023 04:23

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