Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Algorithms are increasingly playing a pivotal role in organizations' day-to-day operations;
however, a general distrust of artificial intelligence-based algorithms and automated …

Our research examines how to integrate human judgment and statistical algorithms for
demand planning in an increasingly data‐driven and automated environment. We use a …

Detailed prediction of the amounts of municipal solid waste (MSW) is very crucial for
planning and management of MSW in a sustainable manner. Forecasting of MSW quantity is …

Various advanced systems deploy artificial intelligence (AI) and machine learning (ML) to
improve demand forecasting. Supply chain planners need to become familiar with these …

This paper's top-level goal is to provide an overview of research conducted in the many
academic domains concerned with forecasting. By providing a summary encompassing …

Computer-based demand forecasting systems have been widely adopted in supply chain
companies, but little research has studied how these systems are actually used in the …

Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …

Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an …

Demand forecasting plays a key role in supply chain planning, management and its
sustainable development, but it is a challenging process as demand depends on numerous …