AI Article Synopsis

  • Planning vaccine distribution in rural and urban poor areas faces challenges like poor vehicles, limited cold storage, and weather issues.
  • The University of Washington and VillageReach created an Excel-based tool, called RoOT, to optimize routing and scheduling for vaccine distribution in Mozambique.
  • RoOT employs an indexing algorithm to efficiently manage routes under resource constraints and can be tailored for use in different situations or with various products.

Article Abstract

Planning vaccine distribution in rural and urban poor communities is challenging, due in part to inadequate vehicles, limited cold storage, road availability, and weather conditions. The University of Washington and VillageReach jointly developed and tested a user-friendly, Excel spreadsheet based optimization tool for routing and scheduling to efficiently distribute vaccines and other medical commodities to health centers across Mozambique. This paper describes the tool and the process used to define the problem and obtain feedback from users during the development. The distribution and routing tool, named route optimization tool (RoOT), uses an indexing algorithm to optimize the routes under constrained resources. Numerical results are presented using five datasets, three realistic and two artificial datasets. RoOT can be used in routine or emergency situations, and may be easily adapted to include other products, regions, or logistic problems.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048533PMC
http://dx.doi.org/10.1111/itor.12867DOI Listing

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