[HTML][HTML] Forecasting: theory and practice
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 …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
The behavioural causes of bullwhip effect in supply chains: A systematic literature review
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 …
obstacles in supply chains. In recent decades, extensive studies have explored its …
Exploring the use of deep neural networks for sales forecasting in fashion retail
In the increasingly competitive fashion retail industry, companies are constantly adopting
strategies focused on adjusting the products characteristics to closely satisfy customers' …
strategies focused on adjusting the products characteristics to closely satisfy customers' …
Demand planning for the digital supply chain: How to integrate human judgment and predictive analytics
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 planning in an increasingly data‐driven and automated environment. We use a …
The human factor in supply chain forecasting: A systematic review
Demand forecasts are the lifeblood of supply chains. Academic literature and common
industry practices indicate that demand forecasts are often subject to human interventions …
industry practices indicate that demand forecasts are often subject to human interventions …
Demand forecasting in the presence of systematic events: Cases in capturing sales promotions
M Abolghasemi, J Hurley, A Eshragh… - International Journal of …, 2020 - Elsevier
Reliable demand forecasts are critical for effective supply chain management. Several
endogenous and exogenous variables can influence the dynamics of demand, and hence a …
endogenous and exogenous variables can influence the dynamics of demand, and hence a …
The design of reciprocal learning between human and artificial intelligence
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 …
text classification, has dramatically increased in the last decade, leaving us critically …
Service supply chain management: a behavioural operations perspective
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 …
supply chain management from a behavioural operations perspective, pointing out future …
Aggregating predictions from experts: A review of statistical methods, experiments, and applications
T McAndrew, N Wattanachit… - Wiley Interdisciplinary …, 2021 - Wiley Online Library
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 …
produce accurate forecasts given abundant training data, but when data is sparse or rapidly …
Forecast adjustments during post-promotional periods
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 …
world of Fast-Moving Consumer Goods (FMCG). Typically, three types of periods are …