Univariate throughput forecasting models on container terminal equipment planning

摘要: Planning of Container Terminal equipment has always been uncertain due to seasonal and fluctuating throughput demand, along with factors delay in operation, breakdown maintenance. Many time-series models have developed forecast the unforeseen future container project needed amount port equipments for optimum operation. Conventionally, a "ratio" method by consultants at early design stage is adopted planning, giving no consideration dynamic growth terms improved layout technological advancement equipments. This study seeks first enhance empirical approach planning end time horizon including assumed coefficient capacity parameters. The second compare size purchase receiving different terminal's demand from two univariate forecasting horizon. will be tested against conventional yard per quay crane ratio after deriving Holt-Winter's exponential smoothing ARIMA (autoregression integrated moving average) model. Results form graphs tables indicate similar pattern estimation proofs avail more redundancy Suggestions better are also made models.