Universitas Bhayangkara Jakarta Raya

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Achmad Muhazir, Muhazir (2021) Design Model Forecasting and Delivery Requirement Planning for Fast Food Product. In: INTERNATIONAL SEMINAR ON INDUSTRIAL ENGINEERING AND MANAGEMENT 13TH ISIEM 2021, 28 JULY 2021, BANDUNG.

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Abstract

Abstract. PT. IKI is a company engaged in the culinary field with its main product being fried chicken, has a problem in its logistics activities, the first problem is the overstock in the stock of its chicken products which causes large storage costs, and the second problem is scheduling the distribution of its products that are not orderly so as to cause the delivery process to be less effective. See the problems that have occured, this research was carried out to get the best forecasting model, then applied the Distribution Requirements Planning (DRP) method to distribute chicken products as optimally as possible. The research was conducted by doing forecasting by combining Multiple Neural Networks (MNN), Seasonal Naive Bayes (SNB), and ARIMA to obtain a forecasting model that is close to actual conditions in the field. The forecast results are used to determine Safety Stock, ROP, and lot sizing with FOQ for the distribution schedule with the DRP method. The results showed determination of forecasting by combining MNN, SNB, and ARIMA can balance the level of product inventory at the optimal amount and DRP method positively impacted a 25% reduction in distribution costs. Keywords: Logistic, MNN, SNB, ARIMA, DRP

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Teknologi dan Ilmu Terapan > Teknik Industri
Divisions:	Fakultas Teknik > Teknik Industri
Depositing User:	Achmad Muhazir Muhazir
Date Deposited:	19 Aug 2021 03:59
Last Modified:	19 Aug 2021 03:59
URI:	http://repository.ubharajaya.ac.id/id/eprint/10017

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