Optimization-based Evaluation of Global Logistics Capacity
Humanitarian organizations, donor countries, and governments pre-position emergency supplies worldwide to facilitate rapid response to crisis needs. These organizations often pre-position stock at various warehouses around the world without formally analyzing how effectively this rapid response capa...
| Main Authors: | , , |
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| Format: | Technical Report |
| Language: | en_US |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/127779 |
| _version_ | 1826192873814491136 |
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| author | Rothkopf, Alexander Graham, Chelsey Diane Goentzel, Jarrod |
| author_facet | Rothkopf, Alexander Graham, Chelsey Diane Goentzel, Jarrod |
| author_sort | Rothkopf, Alexander |
| collection | MIT |
| description | Humanitarian organizations, donor countries, and governments pre-position emergency supplies worldwide to facilitate rapid response to crisis needs. These organizations often pre-position stock at various warehouses around the world without formally analyzing how effectively this rapid response capacity can address future humanitarian needs. This may result in surplus stock, positioned too far for effective deployment, sitting idle (or expiring) in some locations and insufficient stock in other locations to provide timely response. USAID/OFDA has such response capacity through pre-positioned stock and could set an example for evidence-based resource allocation to address future humanitarian responses. Optimization-based metrics could assess the effectiveness of its global stock portfolio in addressing a portfolio of anticipated global disaster risks in the future. Such analysis could also be extended to consider contingent capacity from suppliers on contract, and incorporate a portfolio of transportation resources to move items from pre-positioning warehouses to disaster locations. Optimization-based metrics could then inform USAID/OFDA decision-making regarding stockpile deployment, and potentially contract negotiation for suppliers and transportation providers. This evidence base could also foster coordination efforts for humanitarian supply pre-positioning across organizations at the international, regional and national levels. |
| first_indexed | 2024-09-23T09:30:30Z |
| format | Technical Report |
| id | mit-1721.1/127779 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:30:30Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | mit-1721.1/1277792021-01-13T22:20:01Z Optimization-based Evaluation of Global Logistics Capacity Rothkopf, Alexander Graham, Chelsey Diane Goentzel, Jarrod USAID OFDA humanitarian optimization logistics capacity Humanitarian organizations, donor countries, and governments pre-position emergency supplies worldwide to facilitate rapid response to crisis needs. These organizations often pre-position stock at various warehouses around the world without formally analyzing how effectively this rapid response capacity can address future humanitarian needs. This may result in surplus stock, positioned too far for effective deployment, sitting idle (or expiring) in some locations and insufficient stock in other locations to provide timely response. USAID/OFDA has such response capacity through pre-positioned stock and could set an example for evidence-based resource allocation to address future humanitarian responses. Optimization-based metrics could assess the effectiveness of its global stock portfolio in addressing a portfolio of anticipated global disaster risks in the future. Such analysis could also be extended to consider contingent capacity from suppliers on contract, and incorporate a portfolio of transportation resources to move items from pre-positioning warehouses to disaster locations. Optimization-based metrics could then inform USAID/OFDA decision-making regarding stockpile deployment, and potentially contract negotiation for suppliers and transportation providers. This evidence base could also foster coordination efforts for humanitarian supply pre-positioning across organizations at the international, regional and national levels. United States Agency for International Development 2020-09-30T19:20:30Z 2020-09-30T19:20:30Z 2020-09-30 Technical Report https://hdl.handle.net/1721.1/127779 en_US application/pdf |
| spellingShingle | USAID OFDA humanitarian optimization logistics capacity Rothkopf, Alexander Graham, Chelsey Diane Goentzel, Jarrod Optimization-based Evaluation of Global Logistics Capacity |
| title | Optimization-based Evaluation of Global Logistics Capacity |
| title_full | Optimization-based Evaluation of Global Logistics Capacity |
| title_fullStr | Optimization-based Evaluation of Global Logistics Capacity |
| title_full_unstemmed | Optimization-based Evaluation of Global Logistics Capacity |
| title_short | Optimization-based Evaluation of Global Logistics Capacity |
| title_sort | optimization based evaluation of global logistics capacity |
| topic | USAID OFDA humanitarian optimization logistics capacity |
| url | https://hdl.handle.net/1721.1/127779 |
| work_keys_str_mv | AT rothkopfalexander optimizationbasedevaluationofgloballogisticscapacity AT grahamchelseydiane optimizationbasedevaluationofgloballogisticscapacity AT goentzeljarrod optimizationbasedevaluationofgloballogisticscapacity |