Industry 4.0 in the port and maritime industry: A literature review

I de la Peña Zarzuelo, MJF Soeane… - Journal of Industrial …, 2020 - Elsevier
Ports and terminals have evolved and from the 2010s have entered into a fifth stage of
evolution characterized by their digital transformation and alignment with Industry 4.0 …

IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions

M Tavana, V Hajipour, S Oveisi - Internet of Things, 2020 - Elsevier
In today's highly competitive markets, organizations can create a competitive advantage
through the successful implementation of Enterprise Resource Planning (ERP) systems …

Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation

A Belhadi, V Mani, SS Kamble, SAR Khan… - Annals of Operations …, 2024 - Springer
Supply chain resilience (SCRes) and performance have become increasingly important in
the wake of the recent supply chain disruptions caused by subsequent pandemics and …

Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework

A Belhadi, S Kamble, S Fosso Wamba… - International Journal of …, 2022 - Taylor & Francis
Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient
supply chains. However, the literature is highly dispersed regarding the application of AI in …

Secure identification, traceability and real-time tracking of agricultural food supply during transportation using internet of things

MNM Bhutta, M Ahmad - IEEE Access, 2021 - ieeexplore.ieee.org
Food supply chain process comprises crops collection, processing of food, shipping &
delivery to the whole seller in the market. Harvested foods decompose from the moment they …

Joint event causality extraction using dual-channel enhanced neural network

J Gao, H Yu, S Zhang - Knowledge-Based Systems, 2022 - Elsevier
Abstract Event Causality Extraction (ECE) plays an essential role in many Natural Language
Processing (NLP), such as event prediction and dialogue generation. Recent research in …

[HTML][HTML] A review of decision support systems in the Internet of Things and supply chain and logistics using web content mining

V Kayvanfar, A Elomri, L Kerbache, HR Vandchali… - Supply Chain …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has attracted the attention of researchers and
practitioners in supply chains and logistics (LSCs). IoT improves the monitoring, controlling …

Process mining-based anomaly detection of additive manufacturing process activities using a game theory modeling approach

S Saraeian, B Shirazi - Computers & Industrial Engineering, 2020 - Elsevier
As a new production procedure Additive Manufacturing will present a time-effective
production system when adopted in distributed 3D printing mode. In this case, the distributed …

Analysis of the Impact of Big Data and Artificial Intelligence Technology on Supply Chain Management

X Zeng, J Yi - Symmetry, 2023 - mdpi.com
Differentiated production and supply chain management (SCM) areas benefit from the IoT,
Big Data, and the data-management capabilities of the AI paradigm. Many businesses have …

Generating decision support for alarm processing in cold supply chains using a hybrid k-NN algorithm

I Konovalenko, A Ludwig - Expert Systems with Applications, 2022 - Elsevier
Real-time temperature monitoring is necessary in cold pharmaceutical supply chains (SCs),
where exposures to extreme temperatures can lead to product quality deterioration …