Artificial intelligence applications in supply chain management
M Pournader, H Ghaderi, A Hassanzadegan… - International Journal of …, 2021 - Elsevier
This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …
applications in supply chain management (SCM). Our systematic search of the related …
[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 …
Big data and firm marketing performance: Findings from knowledge-based view
A universal trend in advanced manufacturing countries is defining Industry 4.0, industrialized
internet and future factories as a recent wave, which may transform the production and its …
internet and future factories as a recent wave, which may transform the production and its …
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 …
Demand forecasting with supply‐chain information and machine learning: Evidence in the pharmaceutical industry
Accurate demand forecasting is critical for supply chain efficiency, especially for the
pharmaceutical (pharma) supply chain due to its unique characteristics. However, limited …
pharmaceutical (pharma) supply chain due to its unique characteristics. However, limited …
From supply chain risk to system-wide disruptions: research opportunities in forecasting, risk management and product design
T Browning, M Kumar, N Sanders… - International Journal of …, 2023 - emerald.com
Purpose Supply chains must rebuild for resilience to respond to challenges posed by
systemwide disruptions. Unlike past disruptions that were narrow in impact and short-term in …
systemwide disruptions. Unlike past disruptions that were narrow in impact and short-term in …
[HTML][HTML] Intermittent demand forecasting for spare parts: A Critical review
Spare parts demand forecasting has received considerable attention over the last fifty years
as it is a challenging problem for many companies. This paper provides a critical review and …
as it is a challenging problem for many companies. This paper provides a critical review and …
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 …
Believing in analytics: Managers' adherence to price recommendations from a DSS
F Caro, AS de Tejada Cuenca - Manufacturing & Service …, 2023 - pubsonline.informs.org
Problem definition: We study the adherence to the recommendations of a decision support
system (DSS) for clearance markdowns at Zara, the Spanish fast fashion retailer. Our focus …
system (DSS) for clearance markdowns at Zara, the Spanish fast fashion retailer. Our focus …
Inventory and ordering decisions: a systematic review on research driven through behavioral experiments
Purpose The success of a supply chain is highly reliant on effective inventory and ordering
decisions. This paper systematically reviews and analyzes the literature on inventory …
decisions. This paper systematically reviews and analyzes the literature on inventory …