A Proposal of Resilient Supply Chain Network Planning Method with Two-stage Stochastic Programming and Latin Hypercube Sampling
Author:
Affiliation:
1. Graduate School of System Informatics, Kobe University
2. Information Infrastructure and Digital Transformation Initiatives Headquarters, Kobe University
3. School of Creative Science and Engineering, Waseda University
4. Lion Corporation
Publisher
The Institute of Systems, Control and Information Engineers
Link
https://www.jstage.jst.go.jp/article/iscie/37/5/37_127/_pdf
Reference16 articles.
1. [1] 経済産業省: 令和二年度 内外一体の経済成長戦略にかかる国際経済調査事業(アジア大でのサプライチェーン強靭化に向けた調査)事業報告書; https://www.meti.go.jp/meti_lib/report/2020FY/000173.pdf(2023/06/26アクセス)
2. [2] W. Ho, T. Zheng, H. Yildiz and S. Talluri: Supply chain risk management: A literature review; International Journal of Production Research, Vol. 53, No. 16, pp. 5031–5069 (2015)
3. [3] A. Wicaksana, W. Ho, S. Talluri and A. Dolgui: A decade of progress in supply chain risk management: Risk typology, emerging topics, and research collaborators; International Journal of Production Research, Vol. 60, No. 24, pp. 7155–7177 (2022)
4. [4] M. S. Golan, L.H. Jenegan and I. Linkov: Trends and applications of resilience analytics in supply chain modeling: Systematic literature review in the context of the COVID-19 pandemic; Environment Systems and Decisions, Vol. 40, pp. 222–243 (2020)
5. [5] J. P. Ribeiro and A. Barbosa-Povoa: Supply chain resilience: Definitions and quantitative modeling approaches - a literature review; Computers and Industrial Engineering, Vol. 115, pp. 109–122 (2018)
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