Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

The future performance of stock markets is the most crucial factor in portfolio creation. As
machine learning technique is advancing, new possibilities have opened up for …

In a business environment with strict competition among firms, accurate demand forecasting
is not straightforward. In this paper, a forecasting method is proposed, which has a strong …

The Industry 4.0 revolution is changing the manufacturing landscape. A broad set of new
technologies emerged (including software and connected equipment) that digitise …

Sustainability issues have driven many industries to close the loop in their supply chains
(SCs), evolving into a more complex process, with many risks due to the circular or multi …

The demand for a particular product or service is typically associated with different
uncertainties that can make them volatile and challenging to predict. Demand …

Demand forecasting is the basic aspect of supply chain management. It has important
impacts on planning, capacity and inventory control decisions. Seasonality is a common …

Demand forecasts are the basis of most decisions in supply chain management. The
granularity of these decisions lead to different forecast requirements. For example, inventory …

Time series forecasting is fundamental for various use cases in different domains such as
energy systems and economics. Creating a forecasting model for a specific use case …