Alexandra Brintrup
Orcid: 0000-0002-4189-2434Affiliations:
- University of Cambridge, Institute for Manufacturing, UK
According to our database1,
Alexandra Brintrup
authored at least 75 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Int. J. Prod. Res., February, 2024
A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches.
Int. J. Prod. Res., February, 2024
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening.
CoRR, 2024
Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Federated machine learning for privacy preserving, collective supply chain risk prediction.
Int. J. Prod. Res., December, 2023
Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing.
Comput. Ind. Eng., February, 2023
Civil aircraft engine operation life resilient monitoring via usage trajectory mapping on the reliability contour.
Reliab. Eng. Syst. Saf., 2023
Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach.
CoRR, 2023
Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing.
CoRR, 2023
CoRR, 2023
Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach.
CoRR, 2023
Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach.
CoRR, 2023
Unlocking Carbon Reduction Potential with Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem.
CoRR, 2023
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions.
CoRR, 2023
2022
A hybrid-learning decomposition algorithm for competing risk identification within fleets of complex engineering systems.
Reliab. Eng. Syst. Saf., 2022
Digital Twins: State of the art theory and practice, challenges, and open research questions.
J. Ind. Inf. Integr., 2022
Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation.
Int. J. Prod. Res., 2022
A machine learning approach for predicting hidden links in supply chain with graph neural networks.
Int. J. Prod. Res., 2022
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection.
Expert Syst. Appl., 2022
Exploitation of material consolidation trade-offs in a multi-tier complex supply networks.
CoRR, 2022
Comput. Ind. Eng., 2022
Coalitional Bayesian autoencoders: Towards explainable unsupervised deep learning with applications to condition monitoring under covariate shift.
Appl. Soft Comput., 2022
Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022
Distributed Manufacturing for Digital Supply Chain: A Brief Review and Future Challenges.
Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022
2021
The relationship between nested patterns and the ripple effect in complex supply networks.
Int. J. Prod. Res., 2021
CoRR, 2021
Will bots take over the supply chain? Revisiting Agent-based supply chain automation.
CoRR, 2021
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection.
CoRR, 2021
CoRR, 2021
Supply Chain Digital Twin Framework Design: An Approach of Supply Chain Operations Reference Model and System of Systems.
CoRR, 2021
Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation.
CoRR, 2021
How does the position of firms in the supply chain affect their performance? An empirical study.
Appl. Netw. Sci., 2021
IEEE Access, 2021
2020
Int. J. Prod. Res., 2020
Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing.
Int. J. Prod. Res., 2020
Proceedings of the Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 2020
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions.
CoRR, 2019
A generative neural network model for the quality prediction of work in progress products.
Appl. Soft Comput., 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System.
Proceedings of the 9th Workshop on Service Oriented, 2019
Quantifying Outsourcing Risk Arising from Product Interdependencies in Supply Networks.
Proceedings of the First International Conference on Graph Computing, 2019
2018
Appl. Netw. Sci., 2018
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
IEEE Syst. J., 2017
A Maturity Framework for Operational Resilience and Its Application to Production Control.
Proceedings of the Service Orientation in Holonic and Multi-Agent Manufacturing, 2017
2016
2013
Designing Automated Allocation Mechanisms for Service Procurement of Imperfectly Substitutable Services.
IEEE Trans. Comput. Intell. AI Games, 2013
2011
IEEE Intell. Syst., 2011
Resource Management in the Internet of Things: Clustering, Synchronisation and Software Agents.
Proceedings of the Architecting the Internet of Things., 2011
2010
Implementing RFID in Production Systems: A Case Study from a Confectionery Manufacturer.
Pac. Asia J. Assoc. Inf. Syst., 2010
Behaviour adaptation in the multi-agent, multi-objective and multi-role supply chain.
Comput. Ind., 2010
2009
Distributed Control of Emergence: Local and Global Anti-Component Strategies in Particle Swarms and Ant Colonies.
Proceedings of the Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2009
2008
Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria Using Interactive Genetic Algorithms.
IEEE Trans. Evol. Comput., 2008
2007
An interactive genetic algorithm-based framework for handling qualitative criteria in design optimization.
Comput. Ind., 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2006
Evaluation of Sequential, Multi-objective, and Parallel Interactive Genetic Algorithms for Multi-objective Floor Plan Optimisation.
Proceedings of the Applications of Evolutionary Computing, 2006
2005
Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Handling Qualitativeness in Evolutionary Multiple Objective Engineering Design Optimisation.
Proceedings of the International Conference on Computational Intelligence, 2004