Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research
A Kassa, D Kitaw, U Stache, B Beshah… - Computers & Industrial …, 2023 - Elsevier
Today's supply chains (SC) have become vulnerable to unexpected and ever-intensifying
disruptions from myriad sources. Consequently, the concept of supply chain resilience …
disruptions from myriad sources. Consequently, the concept of supply chain resilience …
AI Innovations in Risk Management-A Case Study of Volvo AB's Supply Chain Resilience
E Hiljemark, D Nika - 2024 - gupea.ub.gu.se
This research aims to explore the potential of various artificial intelligence technologies in
enhancing risk management within Volvo AB's supply chain management. Application areas …
enhancing risk management within Volvo AB's supply chain management. Application areas …
Artificial intelligence (AI) and alleviating supply chain bullwhip effects: social network analysis-based review
TT Kandil - Journal of Global Operations and Strategic Sourcing, 2024 - emerald.com
Purpose This study aims to develop the alleviating bullwhip effects framework (ABEF)
replenishment rules, and bullwhip, inventory fluctuations and customer service fulfilment …
replenishment rules, and bullwhip, inventory fluctuations and customer service fulfilment …
Analysis of balancing solutions for simple assembly lines
S El Machouti, M Hlyal, A Babay, J El Alami - Journal of Industrial …, 2024 - jiem.org
Purpose: Assembly Line Balancing (ALB) is critical to manufacturing efficiency and
productivity. It involves assigning tasks to workstations to optimise performance while …
productivity. It involves assigning tasks to workstations to optimise performance while …
Exploring the Intersection of Artificial Intelligence and Machine Learning in Supply Chain Management: A Structured Literature Review
The purpose of this paper was to identify the contributions and applications of Artificial
intelligence (AI) and Machine Learning (ML) algorithms to Supply Chain Management …
intelligence (AI) and Machine Learning (ML) algorithms to Supply Chain Management …
Artificial intelligence and machine learning for resilient and sustainable logistics and supply chain management
Integrating artificial intelligence (AI) and machine learning (ML) into logistics and supply
chain management is crucial for enhancing resilience and efficiency in today's unpredictable …
chain management is crucial for enhancing resilience and efficiency in today's unpredictable …