Stochastic Analysis of Logistics Capacity in Disaster Response Networks

Details

• Creators:
  Goentzel, Jarrod ; Ropkopf, Alexander
• Corporate Creators:
  Massachusetts Institute of Technology
• Corporate Contributors:
  New England University Transportation Center ; University Transportation Centers Program (U.S.) ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Carriers
  • Contract administration
  • Disaster relief
  • Evaluation and assessment
  • Feasibility analysis
  • Linear programming
  • Logistics
  • Optimization
  • Performance measurement
  • Risk analysis
  More +
• Publication/ Report Number:
  MITR25-7
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• TRIS Online Accession Number:
  01701679
• Edition:
  Year 25 Final Report
• Corporate Publisher:
  New England University Transportation Center
• Abstract:
  Quickly deploying relief items is key to reducing a population’s burden in case of sudden onset disasters. Emergency response organizations, such as FEMA or local and state agencies hold a strategic stockpile of critical relief items and contract for contingency stock in preparation for emergencies. Their response capacity depends on their decision to stock items at different depots, contracts with contingency suppliers, and procurement of transportation capacity to move these items. Building on prior work of Acimovic & Goentzel (2016) we develop a stochastic linear programming model to capture carrier capacity and contingency suppliers. Inputs to the model are a risk portfolio reflecting the particular disasters and the inherent uncertainty with respect to when an organization needs to address a large or a small disaster. Further inputs are the organic stockpile of critical relief items, referred to as the inventory portfolio, contracts with contingency suppliers, which we term the supplier portfolio, and the portfolio of carriers at any depot location.
• Format:
  PDF
• Funding:
  DTRT13-G-UTC31
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/43891/dot_43891_DS1.pdf
• File Type:
  [PDF - 1.05 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:3a9a448d83e22889349a74ebb8029cdf893448400bea6e7d18cc7abd951edd59