Logistics Demand Forecast Based on Gray System Theory

Liang, Xue-Yi; Shuai, B.; Yang, Zhengyi

doi:10.1061/40932(246)565

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…The Grey Model: The GM (1,1) model is a classic Grey Prediction Model which has many advantages and which mathematical foundation is simple [19,20,21]. It is one of the most commonly used dynamic Grey Forecast Model, which changes the time series into differential equation directly and establishes a dynamic model for the development of abstract system [22]. The Grey Model is an important approach in small-data-set forecasting [23].…”

Section: Forecasting Models Methodologymentioning

confidence: 99%

Application of Several Models for the Forecasting of the Container Throughput of the Abidjan Port in Ivory Coast

Gamassa

Chen

2017

JERA

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The Abidjan Port in Ivory Coast has the second highest volume of Container Throughput in West Africa and aims to become a hub Port for the region and one of the most developed Port in Africa in the coming years. In this article, several Forecasting Models are applied to accurately forecast the Abidjan Port Container Throughput. These models are the Grey model, the Linear Regression model, the Double Exponential Smoothing model and a Combination Forecast model. After the application of each model, their results have been compared with the mean absolute percentage error. From their results, the Double Exponential Smoothing model has got the smallest error and been found to have the best data available on the research work, becoming at the same time, the best forecasting model for the Abidjan Port Container Throughput. A forecast of the Abidjan Port Container Throughput was finally made for the period covering the year 2015 up to the year 2020.

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