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
… When equipped with enhanced decision-making abilities and artificial intelligence (AI),
automated processes can evolve into autonomous processes, thereby bringing further value and …

[PDF][PDF] Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience

EA Abaku, TE Edunjobi… - International Journal of …, 2024 - pdfs.semanticscholar.org
… The integration of Artificial Intelligence (AI) into supply chain … enhancing efficiency and
resilience in contemporary business … that production capacity is utilized effectively and production

AI in Supply chain performance and resilience: a literature review

M Atwani, M Hlyal, J El Alami - … ), 12-14 Nov 2020, AGADIR, Maroc, 2020 - hal.science
… build resilience. The aim of this article is to review the literature on the application of Artificial
Intelligence … Neural Networks (ANNs) to calculate the expected costs and risks of production

A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

IM Cavalcante, EM Frazzon, FA Forcellini… - International Journal of …, 2019 - Elsevier
… conditions surrounding the formation of resilient supply performance profiles. We … resilient
supply chain performance. We show that the associations of the deviations from the resilient

Linking Artificial Intelligence and Supply Chain Resilience: Roles of Dynamic Capabilities Mediator and Open Innovation Moderator

TT Le, A Behl - IEEE Transactions on Engineering …, 2023 - ieeexplore.ieee.org
… environment raises deep concerns about supply chain resilience (SCRe). Particularly in the
… SCRe is increasing, understanding how artificial intelligence (AI) adoption can contribute …

[PDF][PDF] Supply Chain Driven Supply and Demand Augmenting Resiliency Integrated Artificial Intelligence

AAD Kumar, P Kusonthammarat… - Journal of Material …, 2022 - researchgate.net
… However, other economists look at it as the study of production and consumption. … new
technology of artificial intelligence in past decades, integrated with such a resilience system, we …

Increased resilience for manufacturing systems in supply networks through data-based turbulence mitigation

D Bauer, M Böhm, T Bauernhansl, A Sauer - Production Engineering, 2021 - Springer
… in the area of artificial intelligence. The automated development of models from data is
where ML mainly differs from earlier approaches of artificial intelligence, which were based on …

Supply chain resilience and industry 4.0: a evaluation of the Brazilian northeast automotive OEM scenario post COVID-19

MC Soares, CV Ferreira, TB Murari - AI Perspectives, 2021 - Springer
… The focus is to guarantee the production of the product in mass production and statistics
studies are established based on the customer and engineering requirements. When issues are …

Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability

D Ivanov - International Journal of Production Economics, 2023 - Elsevier
… ) stress-testing and resilience. New digital and artificial intelligence (AI) technologies allow …
area for the transition from standalone models to intelligent decision-support systems (DSSs). …

The impact of industry 4.0 technologies on key performance indicators for a resilient supply chain 4.0

C Marinagi, P Reklitis, P Trivellas, D Sakas - Sustainability, 2023 - mdpi.com
production of several prototypes and complex parts, which can then be used in the production
… components and products can be produced in the same production line, achieving the …