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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 …
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
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) …
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
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 …
efficient, and sustainable networks, known as Supply Chain 4.0. Digital supply chain …
The influence of organisational culture on supply chain readiness and responsiveness
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 …
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
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 …
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
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 …
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
In an evolving defense landscape with persistent security threats, enhancing Wireless
Sensor Networks (WSN) for border security and advancing Intrusion Detection Systems …
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 …
Numerous factors like temperature, humidity, precipitation, etc., impact India's increasing …