Annals of Operations Research

, Volume 273, Issue 1–2, pp 783–814 | Cite as

Managing sudden transportation disruptions in supply chains under delivery delay and quantity loss

  • Sanjoy Kumar Paul
  • Sobhan AsianEmail author
  • Mark Goh
  • S. Ali Torabi
OR in Transportation


Transportation disruption, a common source of business interruptions, can cause significant economic loss to a lean supply chain. This paper studies a lean, two-stage supplier-manufacturer coordinated system where a sudden disruption interrupts the transportation network, creating delivery delays and product quantity losses. We develop a model to generate a recovery plan after a sudden disruption occurrence, helping supply chain managers minimize the negative impacts of the disruption. Given the computational intensity and problem complexity, we then propose three heuristic solutions based on the delivery delay and fractional quantity loss caused by a sudden disruption. Finally, We conduct a number of numerical experiments to validate our proposed solution methods, and a scenario-based analysis to test the model and analyse the impact of sudden transportation disruption under three disruption scenarios. The performance of presented heuristics against the generalized reduced gradient method is also compared. The results reveal that the proposed heuristics can generate a recovery plan accurately and consistently.


Transportation Disruption Supply chain Production recovery planning Heuristics 


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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • Sanjoy Kumar Paul
    • 1
  • Sobhan Asian
    • 2
    Email author
  • Mark Goh
    • 3
  • S. Ali Torabi
    • 4
  1. 1.UTS Business SchoolUniversity of Technology SydneySydneyAustralia
  2. 2.College of BusinessRMIT UniversityMelbourneAustralia
  3. 3.NUS Business School, The Logistics Institute Asia-PacificNational University of SingaporeSingaporeSingapore
  4. 4.School of Industrial Engineering, College of EngineeringUniversity of TehranTehranIran

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