On the use of machine learning in supply chain management: a systematic review

MZ Babai, M Arampatzis, M Hasni… - IMA Journal of …, 2025 - academic.oup.com
Abstract Accepted by: Aris Syntetos Machine learning (ML) has evolved into a crucial tool in
supply chain management, effectively addressing the complexities associated with decision …

Location-inventory-pricing model in closed-loop supply chain network under the robust-fuzzy optimisation method

J Ghahremani-Nahr, H Nozari… - Supply Chain Forum …, 2024 - Taylor & Francis
This paper discusses the modelling and solution of a location-inventory-pricing problem in a
closed-loop supply chain network to maximise profit. The Robust-Fuzzy Optimization (RFP) …

Unlocking the potential of digital technologies for sustainable supply chain management strategies

MS Mubarik, SA Khan, A Gunasekaran… - Supply Chain Forum …, 2024 - Taylor & Francis
The advent of digital technologies (DTs) has transformed traditional supply chains into agile,
efficient, and sustainable networks, known as Supply Chain 4.0. Digital supply chain …

The influence of organisational culture on supply chain readiness and responsiveness

J El Baz, S Ruel, F Jebli, T Akenroy - Supply Chain Forum: An …, 2024 - Taylor & Francis
This study investigates the influence of organisational culture (OC) on supply chain (SC)
readiness and SC responsiveness following the COVID-19 outbreak, as well as the …

Optimizing Ni (II) adsorption on Carica papaya fiber through experimental and advanced neural network prediction

J Das, A Mondal, A Tarafdar, S Nag - Separation Science and …, 2025 - Taylor & Francis
Detoxification of Ni (II) ion from the synthetic wastewater by Carica papaya fiber (CPF) has
been attempted in batch method. FTIR analysis detected prominent functional groups that …

Exploring the synergy of media awareness and quarantine classes in SiSAQEIHR model for pandemic control: A Deep LSTM-RNN predictions

A Tarafdar, J Mahato, RK Upadhyay… - Physica D: Nonlinear …, 2025 - Elsevier
Media awareness and higher treatment rates are crucial in pandemics to prevent disease
spread, but the synergy between quarantine and awareness is often neglected. This …

Enhancing intrusion detection using wireless sensor networks: A novel ahp-madm aggregated multiple type 3 fuzzy logic-based k-barriers prediction system

A Tarafdar, A Sheikh, P Majumder, A Baidya… - Peer-to-Peer Networking …, 2024 - Springer
In an evolving defense landscape with persistent security threats, enhancing Wireless
Sensor Networks (WSN) for border security and advancing Intrusion Detection Systems …

ROVM integrated advanced machine learning-based malaria prediction strategy in Tripura

A Debnath, A Tarafdar, AP Reddy… - The Journal of …, 2024 - Springer
Malaria is a deadly disease that can take a person's life if not predicted or cured correctly.
Numerous factors like temperature, humidity, precipitation, etc., impact India's increasing …