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 …

The bullwhip effect, also known as demand information amplification, is one of the principal
obstacles in supply chains. In recent decades, extensive studies have explored its …

In the increasingly competitive fashion retail industry, companies are constantly adopting
strategies focused on adjusting the products characteristics to closely satisfy customers' …

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 …

Demand forecasts are the lifeblood of supply chains. Academic literature and common
industry practices indicate that demand forecasts are often subject to human interventions …

Reliable demand forecasts are critical for effective supply chain management. Several
endogenous and exogenous variables can influence the dynamics of demand, and hence a …

The need for advanced automation and artificial intelligence (AI) in various fields, including
text classification, has dramatically increased in the last decade, leaving us critically …

Purpose The purpose of this paper is to provide an overview of the evolution of service
supply chain management from a behavioural operations perspective, pointing out future …

Forecasts support decision making in a variety of applications. Statistical models can
produce accurate forecasts given abundant training data, but when data is sparse or rapidly …

Sales promotions are a key cause for judgmental adjustments to forecasts, especially in the
world of Fast-Moving Consumer Goods (FMCG). Typically, three types of periods are …