This paper investigated the use of linear models to forecast crude oil futures prices (WTI) on
a monthly basis, emphasizing their importance for financial markets and the global …

Merak Port of Java and Bakauheni Port of Sumatera are connected by ferry lines. However,
the number of ferry ships and facilities of the two ports are not able to accommodate the …

ABSTRACT The Baltic Dry Index (BDI) is a crucial indicator of the dry bulk freight market,
offering insights into the ship** industry's health and activity levels. In this study, we …

Firms use time-series forecasting methods to predict sales. However, it is still a question
which time-series method a forecaster is best, if only a single forecast is needed. This study …

Short sea ship** is an important research topic and is of practical interest for the ship**
and transport industries in many regions across the globe. This concept was originally …

Forecasting of future demand and sales is a key issue for companies. The purpose of this
chapter is to investigate opportunities and challenges of machine learning forecasting …

Abstract In Shandong Province, PR China, three time-series models were utilized to forecast
and analyze statutory notifiable infectious diseases. The models' predictive performances …

Given the high capital requirements of the maritime transportation sector, errors in decision-
making can lead to significant financial consequences. As a result, accurate future …

Container terminals, pivotal nodes in the network of empty container movement, hold
significant potential for enhancing operational efficiency within terminal depots through …

La prévision de la demande est une composante cruciale de la gestion efficace des stocks
et de la planification des opérations commerciales dans les entreprises. Cependant, les …