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An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks

Wan, Chengpeng; Yan, Xinping; Zhang, Di; Qu, Zhuohua; … - In: Transportation research / E : an international journal 125 (2019), pp. 222-240

Persistent link: https://www.econbiz.de/10012022208

Analysis of risk factors influencing the safety of maritime container supply chains

Wan, Chengpeng; Yan, Xinping; Zhang, Di; Yang, Zaili - In: International journal of shipping and transport … 11 (2019) 6, pp. 476-507

Persistent link: https://www.econbiz.de/10012162342

Resilience in transportation systems : a systematic review and future directions

Wan, Chengpeng; Yang, Zaili; Zhang, Di; Yan, Xinping; … - In: Transport reviews : TR 38 (2018) 4, pp. 479-498

Persistent link: https://www.econbiz.de/10011917302

Evaluating recovery strategies for the disruptions in liner shipping networks : a resilience approach

Wan, Chengpeng; Tao, Jiale; Yang, Zaili; Zhang, Di - In: The international journal of logistics management 33 (2022) 2, pp. 389-409

Persistent link: https://www.econbiz.de/10013429485

A novel hybrid deep-learning framework for medium-term container throughput forecasting : an application to China's Guangzhou, Qingdao and Shanghai hub ports

Zhang, Di; Li, Xinyuan; Wan, Chengpeng; Man, Jie - In: Maritime economics & logistics 26 (2024) 1, pp. 44-73

Persistent link: https://www.econbiz.de/10014507738

Evaluating recovery strategies for the disruptions in liner shipping networks : a resilience approach

Wan, Chengpeng; Tao, Jiale; Yang, Zaili; Zhang, Di - In: The International Journal of Logistics Management 33 (2021) 2, pp. 389-409

Purpose: Since the start of the current century, the world at large has experienced uncertainties as a result of climate change, terrorism threats and increasing economic upheaval. These uncertainties create non-classical risks for global seaborne container trade and liner shipping networks...

Persistent link: https://www.econbiz.de/10012811571