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

Prediction using machine learning algorithms is not well adapted in many parts of the
business decision processes due to the lack of clarity and flexibility. The erroneous data as …

ABSTRACT Predictive Maintenance (PdM) solutions assist decision-makers by predicting
equipment health and scheduling maintenance actions, but their implementation in industry …

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

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

Despite improvements in statistical forecasting, human judgment remains fundamental to
business forecasting and demand planning. Typically, forecasters do not rely solely on …

Sound decision‐making relies on accurate prediction for tangible outcomes ranging from
military conflict to disease outbreaks. To improve crowdsourced forecasting accuracy, we …

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 …

Demand forecasting is critical to sales and operations planning (S&OP), but the effects of
sales promotions can be difficult to forecast. Typically, a baseline statistical forecast is …

The global nature of the Czech economy means that quantitative knowledge of the influence
of the exchange rate provides useful information for all participants in the international …