Abstract
Su-Young Park, Shreyes N. Melkote
Abstract
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10.1109/case56687.2023.10260370 · doi-reference
Modeling the impact of unmet demand in supply chain disruption management
10.1016/j.omega.2017.08.019 · doi-reference
Machine learning-based cyber manufacturing services: a review of manufacturing process selection, process planning, and design for manufacturing
10.1016/j.eng.2025.11.034 · doi-reference
A dynamic approach to supply chain reconfiguration and ripple effect analysis in an epidemic
10.1016/j.ijpe.2023.108935 · doi-reference
Deep unsupervised learning-based supplier selection and ranking for assembly manufacturing
10.1016/j.jmsy.2025.12.004 · doi-reference
Integrating graph retrieval-augmented generation with large language models for supplier discovery
10.1115/1.4067389 · doi-reference
A federated learning approach to automated and secure supplier selection in cyber manufacturing-as-a-service
10.1016/j.jmsy.2024.09.005 · doi-reference
Process-aware part retrieval for cyber manufacturing using unsupervised deep learning
10.1016/j.cirp.2023.03.020 · doi-reference
A novel shape retrieval method for 3D mechanical components based on object projection, pre-trained deep learning models and autoencoder
10.1016/j.cad.2022.103417 · doi-reference
A supplier selection & order allocation planning framework by integrating deep learning, principal component analysis, and optimization techniques
10.1016/j.eswa.2023.121121 · doi-reference
Supplier selection and order allocation problems considering regional and supplier disruptions with a risk-averse strategy
10.1016/j.cie.2023.109810 · doi-reference
A matchmaking methodology for supply chain deployment in distributed manufacturing environments
10.1115/1.2830849 · doi-reference
Data-driven production control for complex and dynamic manufacturing systems
10.1016/j.cirp.2018.04.033 · doi-reference
Data-driven simulation-based decision support system for resource allocation in Industry 4.0 and smart manufacturing
10.1016/j.jmsy.2023.11.019 · doi-reference
A data and knowledge driven autonomous intelligent manufacturing system for intelligent factories
10.1016/j.jmsy.2024.04.011 · doi-reference
Shape distributions
10.1145/571647.571648 · doi-reference
Dynamic digital capabilities and supply chain resilience: The role of government effectiveness
10.1016/j.ijpe.2023.108790 · doi-reference
Supply chain visibility types and contextual characteristics: A literature-based synthesis
10.1111/jbl.12366 · doi-reference
The ABCDE of supply chain visibility: a systematic literature review and framework
10.1016/j.ijpe.2022.108464 · doi-reference
Manufacturing service capability prediction with graph neural networks
10.1016/j.jmsy.2024.03.010 · doi-reference
A comprehensive framework and literature review of supplier selection under different purchasing strategies
10.1016/j.cie.2022.108010 · doi-reference
Digital manufacturing market: A semantic web-based framework for agile supply chain deployment
10.1007/s10845-010-0495-z · doi-reference
A production and distribution planning of perishable products with a fixed lifetime under vertical competition in the seller-buyer systems: A real-world application
10.1016/j.jmsy.2020.12.001 · doi-reference
A multi-objective model for integrated supplier order allocation and supply chain network transportation planning decision-making
10.1016/j.ins.2024.121487 · doi-reference
Supplier selection and order allocation: a literature review
10.1007/s42488-021-00049-z · doi-reference
Resilient manufacturing: a review of disruptions, assessment, and pathways
10.1016/j.jmsy.2025.02.006 · doi-reference
Viable supply chain model: integrating agility, resilience and sustainability perspectives, lessons from and thinking beyond the COVID-19 pandemic
10.1007/s10479-020-03640-6 · doi-reference
A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0
10.1080/09537287.2020.1768450 · doi-reference