Non-stationary time series data for natural rubber inventory forecasting: A case study
نویسندگان
چکیده
PPLK Corp. is a company that uses natural rubber as the main raw material to produce crumb rubber. The problem identified in insufficient amount of received and fulfill consumer demand. There have been fluctuations high variability between periods. To minimize this variability, it necessary forecast requirements. purpose study inventory for next periods using best-fitted model, which Autoregressive Integrated Moving Average (ARIMA) method. A total 547 daily data points from 2021 2022 were used. As result, ARIMA (1,1,2) model was found be best forecasting factory. had smallest AIC value compared others. need forecasted around 67.588 kilograms with range 64.805 70.421 per day. However, should noted limited short-term only.
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ژورنال
عنوان ژورنال: Journal Industrial Servicess
سال: 2023
ISSN: ['2461-0623', '2461-0631']
DOI: https://doi.org/10.36055/jiss.v9i1.17778