Work

Data-driven Wasserstein distributionally robust mitigation and recovery against random supply chain disruption

Year: 2022

Type: article

Source: Transportation Research Part E Logistics and Transportation Review

DOI: 10.1016/j.tre.2022.102751

Authors: Yunzhi Cao, Xiaoyan Zhu, Houmin Yan

Institutions: City University of Hong Kong, University of Chinese Academy of Sciences

Language: English

Topic: Supply Chain Resilience and Risk Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, University Grants Committee

Awards: 大数据驱动的高速铁路高可用性研究, G538420062, G7800023129

OpenAlex ID: W4281569787

FWCI: 6.16

Cites: 46

Cited by: 39

Related to: 10