Resilient Supply Chain Network Planning Method with Two-Stage Stochastic Programming: Extension to Multiple Product Supply Chains-Reference-Cited by-同舟云学术

Resilient Supply Chain Network Planning Method with Two-Stage Stochastic Programming: Extension to Multiple Product Supply Chains

Published:2024 Issue: Volume: Page:116-131
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:en
Short-container-title:

Author:

Kaihara Toshiya,Kobayashi Hibiki,Kokuryo Daisuke,Hara Masashi,Miyachi Yuto,Yamao Dickson Hideki,Sariddichainunta Puchit

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-65894-5_9

Reference15 articles.

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2. Wicaksana, A., Ho, W., Talluri, S., Dolgui, A.: A decade of progress in supply chain risk management: risk typology, emerging topics, and research collaborators. Int. J. Prod. Res. 60(24), 7155–7177 (2022)

3. Duong, A.T.B., Hoang, T.-H., Nguyen, T.T.B., Akbari, M., Hoang, T.G., Truong, H.Q.: Supply chain risk assessment in disruptive times: opportunities and challenges. J. Enterp. Inf. Manag. 36(5), 1372–1401 (2023)

4. Golan, M.S., Jenegan, L.H., Linkov, I.: Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic. Environ. Syst. Decis. 40, 222–243 (2020)

5. Ribeiro, J.P., Barbosa-Povoa, A.: Supply chain resilience: definitions and quantitative modeling approaches - a literature review. Comput. Ind. Eng. 115, 109–122 (2018)