Emergency supply chain scheduling problem with multiple resources in disaster relief operations

In emergency logistics, it is important to allocate available assets to operations effectively due to the resource scarcity. This paper considers a supply chain network which includes local and global suppliers of medical relief items, regional and central distribution centers, and many customer demand points. Either pre-positioned resources at distribution centers or new assembly operations at them can fulfill resources demands. Moreover, a capacitated multi-stage operations scheduling problem is presented, in which renewable (medical teams) as well as non-renewable resources (standard or customized medical kits) are required in an emergency supply chain. In addition, a new mixed-integer programming model is presented and solved for small-sized problems. Further, for solving large-sized problems, a particle swarm optimization algorithm is developed. Finally, the performance of the proposed solution method is evaluated, and some sensitivity analyses are conducted on the more important parameters.

• Record URL:
  https://doi.org/10.1080/23249935.2020.1720858
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23249935
• Supplemental Notes:
  • © 2020 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Ghaffari, Zahra
  • Nasiri, Mohammad Mahdi
  • Bozorgi-Amiri, Ali
  • Rahbari, Ali
• Publication Date: 2020-1

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 930-956
• Serial:
  • Transportmetrica A: Transport Science
  • Volume: 16
  • Issue Number: 3
  • Publisher: Taylor & Francis
  • ISSN: 2324-9935
  • EISSN: 2324-9943
  • Serial URL: http://www.tandfonline.com/loi/ttra21

Subject/Index Terms

• TRT Terms: Disaster relief; Disasters and emergency operations; Mixed integer programming; Optimization; Scheduling; Sensitivity analysis; Supply chain management
• Subject Areas: Freight Transportation; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; Security and Emergencies;

Filing Info

• Accession Number: 01761999
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 2 2020 3:00PM