Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers

The authors address a multi-period supply chain (SC) network design where demands of customers depend on facilities serving them based on their delivery lead-times. Potential customer demands are stochastic, and facilities’ capacity varies randomly because of possible disruptions. Accordingly, the authors develop a multi-stage stochastic program, and model disruptions’ effect on facilities’ capacity. The SC responsiveness risk is limited and, to obtain a resilient network, both mitigation and contingency strategies are exploited. Computational results on a real-life case study and randomly generated problem instances demonstrate the model’s applicability, risk-measurement policies’ performance, and the influence of mitigation and contingency strategies on SC’s resiliency.

• Record URL:
  https://doi.org/10.1016/j.tre.2017.02.004
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S136655451630905X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Fattahi, Mohammad
  • Govindan, Kannan
  • Keyvanshokooh, Esmaeil
• Publication Date: 2017-5

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 176-200
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 101
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Risk management; Service disruption; Stochastic programming; Supply chain management
• Subject Areas: Freight Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01634053
• Record Type: Publication
• Files: TRIS
• Created Date: May 1 2017 9:45AM