[HTML][HTML] Artificial intelligence for electricity supply chain automation

L Richter, M Lehna, S Marchand, C Scholz… - … and Sustainable Energy …, 2022 - Elsevier
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …

Automobile recycling for remanufacturing in China: A systematic review on recycling legislations, models and methods

L Wang, S Zhu, S Evans, Z Zhang, X Xia… - Sustainable Production …, 2023 - Elsevier
Compared with the recycling of scrapped automobile materials, the remanufacturing is a
circular economy model with higher comprehensive benefits. However, the current …

Federated machine learning for privacy preserving, collective supply chain risk prediction

G Zheng, L Kong, A Brintrup - International Journal of Production …, 2023 - Taylor & Francis
The use of Artificial Intelligence (AI) for predicting supply chain risk has gained popularity.
However, proposed approaches are based on the premise that organisations act alone …

[HTML][HTML] Information sharing in supply chains–Interoperability in an era of circular economy

AA Khan, J Abonyi - Cleaner Logistics and Supply Chain, 2022 - Elsevier
In order to realize the goals of Industry 5.0 (I5. 0), which has data interoperability as one of
its core principles, the future research in the Supply Chain (SC) visibility has to be aligned …

[HTML][HTML] The application of industry 4.0 technological constituents for sustainable manufacturing: A content-centric review

TC Ng, SY Lau, M Ghobakhloo, M Fathi, MS Liang - Sustainability, 2022 - mdpi.com
Industry 4.0 has been associated with the rise of disruptive intelligence and information
technologies. These cutting-edge technologies have the potential to increase productivity …

A decision framework for incorporating the coordination and behavioural issues in sustainable supply chains in digital economy

P Kumar, SK Mangla, Y Kazancoglu… - Annals of Operations …, 2023 - Springer
Global warming, climate change, and social problems are the worst human-induced
sustainability issues that economies across the globe have witnessed. Water pollution …

Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions

E Badakhshan, P Ball - International Journal of Production …, 2024 - Taylor & Francis
Supply chains operate in a highly distuptive environment where a SC master plan should be
updated in line with disruptions to ensure that a high service level is provided to customers …

[HTML][HTML] The impact of multiagent systems on autonomous production and supply chain networks: use cases, barriers and contributions to logistics network resilience

B Nitsche, J Brands, H Treiblmaier… - … Chain Management: An …, 2023 - emerald.com
Purpose Academics and practitioners have long acknowledged the potential of multiagent
systems (MAS) to automate and autonomize decision-making in logistics and supply chain …

Researched topics, patterns, barriers and enablers of artificial intelligence implementation in supply chain: a Latent-Dirichlet-allocation-based topic-modelling and …

Y Riahi, T Saikouk, I Badraoui… - Production Planning & …, 2023 - Taylor & Francis
The dynamic and ever-evolving landscape of modern technologies, consumer preferences,
and competitive forces pose a perpetual challenge to the adaptive capabilities and …

[HTML][HTML] Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach

S Mak, L Xu, T Pearce, M Ostroumov… - … Research Part C …, 2023 - Elsevier
Collaborative vehicle routing occurs when carriers collaborate through sharing their
transportation requests and performing transportation requests on behalf of each other. This …