Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …

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 …

This research examines the transformative potential of artificial intelligence (AI) in general
and Generative AI (GAI) in particular in supply chain and operations management (SCOM) …

This paper proposes a novel forecasting method that combines the deep learning method–
long short-term memory (LSTM) networks and random forest (RF). The proposed method …

Forecasting future sales is one of the most important issues that is beyond all strategic and
planning decisions in effective operations of retail businesses. For profitable retail …

This study aims to investigate the contributions of promotional marketing activities, historical
demand and other factors to predict, and develop a big data-driven fuzzy classifier-based …

Decision support tools, within the Industry 4.0 perspective, have increasingly impacted
different operations and supply chain management (OSCM) areas, such as inventory …

This study presents a new strategy using cluster analysis, Cubist regression models and
Particle Swarm Optimization to forecast next-day total electricity usage and peak electricity …

Heating, ventilation, and air conditioning (HVAC) systems play a crucial role in production
environments. Optimising the control strategy of an HVAC system is an effective approach to …

ARIMA is seldom used in supply chains in practice. There are several reasons, not the least
of which is the small sample size of available data, which restricts the usage of the model …