From natural language to simulations: applying AI to automate simulation modelling of logistics systems
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Title
From natural language to simulations: applying AI to automate simulation modelling of logistics systems
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume -, Issue -, Pages 1-24
Publisher
Informa UK Limited
Online
2023-11-02
DOI
10.1080/00207543.2023.2276811
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Note: Only part of the references are listed.- Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems
- (2023) Dmitry Ivanov et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
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- Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?
- (2023) Christian Hendriksen Journal of Supply Chain Management
- Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research
- (2023) Hamed Jahani et al. ANNALS OF OPERATIONS RESEARCH
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- (2023) Alexandre Dolgui et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A network-of-networks adaptation for cross-industry manufacturing repurposing
- (2023) Alexandre Dolgui et al. IISE Transactions
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- Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis
- (2022) Angie Nguyen et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety
- (2022) Georgios Makridis et al. MACHINE LEARNING
- Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”
- (2022) Dmitry Ivanov et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
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- (2022) Hang Li COMMUNICATIONS OF THE ACM
- Mapping the supply chain: Why, what and how?
- (2022) Bart L. MacCarthy et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Survey of Hallucination in Natural Language Generation
- (2022) Ziwei Ji et al. ACM COMPUTING SURVEYS
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- (2022) Benjamin Rolf et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Post-pandemic adaptation and development of supply chain viability theory
- (2022) Dmitry Ivanov et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
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- (2021) Adam N. Elmachtoub et al. MANAGEMENT SCIENCE
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- (2021) Edward Elson Kosasih et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- AI and Procurement
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- Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations
- (2021) Jiankun Sun et al. MANAGEMENT SCIENCE
- Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions
- (2021) Diana Burgos et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
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- (2021) Adrian Smith et al. FUTURES
- Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic
- (2021) Kirti Nayal et al. International Journal of Logistics Management
- Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review
- (2021) Tiep Nguyen et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Actionable cognitive twins for decision making in manufacturing
- (2021) Jože M. Rožanec et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- “Un”Fair Machine Learning Algorithms
- (2021) Runshan Fu et al. MANAGEMENT SCIENCE
- Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation
- (2021) Andreas Fügener et al. INFORMATION SYSTEMS RESEARCH
- Extracting supply chain maps from news articles using deep neural networks
- (2020) Pascal Wichmann et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic
- (2020) Dmitry Ivanov ANNALS OF OPERATIONS RESEARCH
- Transparency and accountability in AI decision support: Explaining and visualizing convolutional neural networks for text information
- (2020) Buomsoo Kim et al. DECISION SUPPORT SYSTEMS
- Antisocial online behavior detection using deep learning
- (2020) Elizaveta Zinovyeva et al. DECISION SUPPORT SYSTEMS
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- A library for automatic natural language generation of spanish texts
- (2018) Silvia García-Méndez et al. EXPERT SYSTEMS WITH APPLICATIONS
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- Perspectives and relationships in Supply Chain Simulation: A systematic literature review
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