Future of artificial intelligence and its influence on supply chain risk management–A systematic review

AD Ganesh, P Kalpana - Computers & Industrial Engineering, 2022 - Elsevier
Abstract Supply Chain Risk Management (SCRM) is a rapidly growing field of research
encompassing identification, assessment, mitigation, and monitoring of the risks or …

[HTML][HTML] Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues

R Giusti, D Manerba, G Bruno, R Tadei - Transportation Research Part E …, 2019 - Elsevier
As supply chain management is becoming demand driven, logistics service providers need
to use real-time information efficiently and integrate new technologies into their business …

A machine learning approach for predicting hidden links in supply chain with graph neural networks

EE Kosasih, A Brintrup - International Journal of Production …, 2022 - Taylor & Francis
Supply chain business interruption has been identified as a key risk factor in recent years,
with high-impact disruptions due to disease outbreaks, logistic issues such as the recent …

Digital twins driven supply chain visibility within logistics: A new paradigm for future logistics

TD Moshood, G Nawanir, S Sorooshian… - Applied System …, 2021 - mdpi.com
The supply chains shaping their distribution networks become more diverse as companies
respond to global markets' stringent criteria. This is also counterproductive to the visibility of …

Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research

A Kassa, D Kitaw, U Stache, B Beshah… - Computers & Industrial …, 2023 - Elsevier
Today's supply chains (SC) have become vulnerable to unexpected and ever-intensifying
disruptions from myriad sources. Consequently, the concept of supply chain resilience …

[HTML][HTML] Artificial neural networks in supply chain management, a review

M Soori, B Arezoo, R Dastres - Journal of Economy and Technology, 2023 - Elsevier
Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …

Demand forecasting application with regression and artificial intelligence methods in a construction machinery company

A Aktepe, E Yanık, S Ersöz - Journal of Intelligent Manufacturing, 2021 - Springer
Demand forecasts are used as input to planning activities and play an important role in the
management of fundamental operations. Accurate demand forecasting is an important …

A closed-loop supply chain robust optimization for disposable appliances

H Gholizadeh, A Tajdin, N Javadian - Neural computing and applications, 2020 - Springer
Supply chain design is one of the important and strategic decisions influencing competitive
advantages and economic growth. The increasing importance of using waste products has …

Implications for sustainability in supply chain management and the circular economy using machine learning model

D Wang, Y Zhang - Information Systems and e-Business Management, 2020 - Springer
Abstract The definition of “Industry 4.0” would contribute to that distributed manufacturing
systems, real-time information and inevitably a lot more product information. In this case, the …

Principles and factors influencing visibility in sustainable supply chains

UD Apeji, FT Sunmola - Procedia computer science, 2022 - Elsevier
In sustainable supply chains, visibility represents the extent to which stakeholders within a
supply chain have access to or share information that is key or useful to their operations and …