Enhancing manufacturing productivity: A review of AI-Driven supply chain management optimization and ERP systems integration

OA Adenekan, NO Solomon, P Simpa… - International Journal of …, 2024 - fepbl.com
This abstract delves into the realm of manufacturing productivity enhancement through the
review of AI-driven supply chain management (SCM) optimization and Enterprise Resource …

Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19

I Kazancoglu, M Ozbiltekin-Pala, SK Mangla… - Annals of Operations …, 2023 - Springer
In rapidly changing business conditions, it has become extremely important to ensure the
sustainability of supply chains and further improve the resiliency to those events, such as …

[HTML][HTML] A systematic review of collaboration in supply chain 4.0 with meta-synthesis method

AB Movahed, A Aliahmadi, M Parsanejad… - Supply Chain …, 2023 - Elsevier
A systematic literature review is conducted to analyze and synthesize studies on supply
chain collaboration in Industry 4.0 between 2010 and 2023. 152 documents were selected …

[PDF][PDF] Integration of AI-based chatbot (ChatGPT) and supply chain management solution to enhance tracking and queries response

M Verma - International Journal for Science and Advance …, 2023 - researchgate.net
From the evolution of big data from various ICT to IOT 4.0, AI-based data set have been
valuable in creating efficient supply chain in real-time in various critical tasks and projects of …

The role played by responsible artificial intelligence (RAI) in improving supply chain performance in the MSME sector: An empirical inquiry

A Behl, B Sampat, V Pereira… - Annals of Operations …, 2023 - Springer
Artificial Intelligence (AI) systems have transformed business functions and contributed
significantly to improving the efficiency of business operations. Unlike other technologies, AI …

Applications of artificial intelligence in cross docking: A systematic literature review

A Altaf, A El Amraoui, F Delmotte… - Journal of Computer …, 2023 - Taylor & Francis
In this paper, we present the research issues, the representation models, as well as the
methodological and algorithmic approaches that have been proposed for cross-docking …

A multi-MLP prediction for inventory management in manufacturing execution system

LAC Ahakonye, A Zainudin, MJA Shanto, JM Lee… - Internet of Things, 2024 - Elsevier
Artificial intelligence (AI) positively remodels industrial processes, notably inventory
management (IM), from planning, scheduling, and optimization to logistics. Intelligent …

Presenting the smart-sustainable supply chain model based on artificial intelligence

M Ghanbari - International Journal of Innovation in Management …, 2023 - ijimes.ir
Artificial intelligence (AI) has the potential to transform many aspects of business operations.
This technology can be used in various fields such as data analysis and demand …

The Role of Machine Learning and Computer Vision in the Agri-Food Industry

A Ravikumar - Artificial Intelligence Applications in Agriculture and …, 2022 - igi-global.com
The food industry has been unable to control the demand-supply cycle and has also fallen
short on food safety due to human engagement. Food production and distribution activities …

Clasificación de la gestión de la cadena de suministro por tipo de tecnología y por sector de exportación

NY Castro Olivera, RM Diaz Diaz - 2022 - repositorio.ucv.edu.pe
El problema de la investigación fue: no se ha encontrado una clasificación de la gestión de
la cadena de suministro (GCS) por tipo de tecnología y por sector de exportación lo cual ha …