研究论文
A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing
Ian Moreira Cavalcante, Enzo Morosini Frazzon, Fernando Antônio Forcellini, Dmitry Ivanov
Universidade Federal de Santa Catarina Berlin School of Economics and Law
来源International Journal of Information Management
年份2019
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经济 / 管理Supply Chain Resilience and Risk Management
Impact of AI and Big Data on Business and Society · Supply Chain and Inventory Management
参考文献 139
An Analysis Of Vendor Selection Systems And Decisions
被引 1,953Gary W. Dickson · Journal of Purchasing · 1966
Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain
被引 360David Simchi‐Levi, William Schmidt, Yehua Wei · INFORMS Journal on Applied Analytics · 2015
Machine learning: Trends, perspectives, and prospects
被引 9,965Michael I. Jordan, Tom M. Mitchell · Science · 2015
此处列出前 3 条
引用本文 527
Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case
被引 2,273Dmitry Ivanov · Transportation Research Part E Logistics and Transportation Review · 2020
A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0
被引 1,783Dmitry Ivanov, Alexandre B. Dolgui · Production Planning & Control · 2020
Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic
被引 1,347Dmitry Ivanov · Annals of Operations Research · 2020
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