Ditapis dengan
Forecasting container throughput using aggregate or terminal-specific data? T…
We propose a new approach to forecasting total port container throughput: to generate forecasts based on each of the port’s terminals and aggregate them into the total throughput forecast. We forecast the demand for total container throughput at the Indonesia’s largest seaport Tanjung Priok Port, employing SARIMA, the additive and multiplicative Seasonal Holt-Winters (MSHW) and the Vector E…
- Edisi
- 2016
- ISBN/ISSN
- 1366-588X
- Deskripsi Fisik
- 17 p.
- Judul Seri
- International Journal of Production Research
- No. Panggil
- ATC LO FAN f
Hybrid approaches based on SARIMA and artificial neural networks for inspecti…
In this paper, the number of goods subject to inspection at European Border Inspections Post are predicted using a hybrid two-step procedure. A hybridization methodology based on integrating the data obtained from autoregressive integrated moving averages (SARIMA) model in the artificial neural network model (ANN) to predict the number of inspections is proposed. Several hybrid approaches are c…
- Edisi
- -
- ISBN/ISSN
- 1366-5545
- Deskripsi Fisik
- 13 p.
- Judul Seri
- Transportation Research Part E
- No. Panggil
- ATC PO LAR h
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