humanitarian network and partnership week geneva 2020
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Humanitarian Network and Partnership Week- Geneva - 2020 ESUPS - PowerPoint PPT Presentation

Humanitarian Network and Partnership Week- Geneva - 2020 ESUPS session HNPW 2020 - Agenda 9h00-9h30 Opening David Introduction to ESUPS David 9h30 - 10h00 Data Collection Florent - Sue 10h00 - 10h30 Data Anaylsis Jason 10h30 - 11h00


  1. Humanitarian Network and Partnership Week- Geneva - 2020

  2. ESUPS session HNPW 2020 - Agenda 9h00-9h30 Opening David Introduction to ESUPS David 9h30 - 10h00 Data Collection Florent - Sue 10h00 - 10h30 Data Anaylsis Jason 10h30 - 11h00 BREAK BREAK 11h00 - 11h30 Advocacy Burcu 11h30 - 12h00 Communications Sofia 12h00 - 12h30 Wrap up Florent Humanitarian Network and Partnership Week- Geneva - 2020

  3. ESUPS session HNPW 2020 - Agenda 9h00-9h30 Opening David Introduction to ESUPS David 9h30 - 10h00 Data Collection Florent - Sue 10h00 - 10h30 Data Anaylsis Jason 10h30 - 11h00 BREAK BREAK 11h00 - 11h30 Advocacy Burcu 11h30 - 12h00 Communications Sofia 12h00 - 12h30 Wrap up Florent Humanitarian Network and Partnership Week- Geneva - 2020

  4. What is ESUPS? Humanitarian Network and Partnership Week- Geneva - 2020

  5. ESUPS…. How/ Where? Data Data Analysis Advocacy Collection Data Sharing/ Loan What you What you & Borrowing/ have? should have? branding Pilots Asia Haiti Humanitarian Network and Partnership Week- Geneva - 2020

  6. ESUPS session HNPW 2020 - Agenda 9h00-9h30 Opening David Introduction to ESUPS David 9h30 - 10h00 Data Collection Florent - Sue 10h00 - 10h30 Data Anaylsis Jason 10h30 - 11h00 BREAK BREAK 11h00 - 11h30 Advocacy Burcu 11h30 - 12h00 Communications Sofia 12h00 - 12h30 Wrap up Florent Humanitarian Network and Partnership Week- Geneva - 2020

  7. Pillar 1 - Data Collection Ownership by users once organisation registered 2 types of users On registration only access Humanitarian Network and Partnership Week- Geneva - 2020

  8. Data Collection- STOCKHOLM Platform PHASE 3 : New ESUPS approves Engagement with STOCKHOLM Tender Functionalities PALM as the Data new countries put PHASE 1: Visuals launched consultation and Collection Tool on hold definition + roll out May 2019 Aug 2019 Jan 2020 Apr 2020 Dec 2021 May 2020 to Feb 2018 June 2019 Dec 2019 Feb 2020 Dec 2021 Identification seed Final Phase Hand- PALM No longer funding for new STOCKHOLM Tender PHASE 2 : Back to Over to neutral and available platform finalised PALM functionalities independent body development Humanitarian Network and Partnership Week- Geneva - 2020

  9. STOCKHOLM Layers - Discussion Global Districts Regions City Economic Community zone National Provinces Humanitarian Network and Partnership Week- Geneva - 2020

  10. Data Collection Examples Levels Philippines Nepal Indonesia Notes Global No change, all agencies use the same term Agree these are the generic terms, very Regional No change, all agencies use the same term little to no change across the agencies and governments National No change, all agencies use the same term Some discussion Provincial Island group Provincial Provincial required to agree with recommendation made Districts Regions Districts Cities regencies Communities provinces Municipalities District Where stuff actually is Agreement to be made on terms and how deep do we go Barangyas Village Humanitarian Network and Partnership Week- Geneva - 2020

  11. Layers - Option 1 Option 1 - Map the structure to a set of agreed terms Agreed Terms: 1 - Global, 2 - Regional, 3 - National – all similar Suggested: 4 – District, 5 – Sub District (provinces and communities would sit here) Cons Pros • • May result in more work for Simpler to set up • the CO to follow the See the goods at a relatively mapping low level with comparison • Pressures governments to on location • use our systems Easier identification of stock • Limited flexibility and location Humanitarian Network and Partnership Week- Geneva - 2020

  12. Option 2 Option 2 - Each organisation or country to define their own structure providing them with “level 1, level 2, level 3 etc… they (collectively at country level or under the direct responsibility of each government) would decide what level attribute works for them Pros Cons • • Relatively easy system that If levels are too low and too many, could cause confusion allows CO to decide on what • levels regions, provinces fit Potentially difficult to program into the system unless a max into • level is set Simple to produce reports • for oversight of stock More difficult to see where stock is with a variety of locations under 1 descriptor Humanitarian Network and Partnership Week- Geneva - 2020

  13. Option 3 Use a system similar to the example of the government health structure, with 3 key levels (National, Regional and Local) and Local would cover sub locations Cons Pros • • More difficult to see where Simple and easy to follow, with stock is with a variety of Countries having flexibility as locations under 1 descriptor to where lower locations are • The word “region” could then be confused with the level up over National Humanitarian Network and Partnership Week- Geneva - 2020

  14. Option 3 Government Health Structure (Example) Humanitarian Network and Partnership Week- Geneva - 2020

  15. Next Steps • Short discussion Q & A on the options • Decide on an options which best suits the majority • Start the development of the structure agreed • Test Humanitarian Network and Partnership Week- Geneva - 2020

  16. ESUPS session HNPW 2020 - Agenda 9h00-9h30 Opening David Introduction to ESUPS David 9h30 - 10h00 Data Collection Florent - Sue 10h00 - 10h30 Data Anaylsis Jason 10h30 - 11h00 BREAK BREAK 11h00 - 11h30 Advocacy Burcu 11h30 - 12h00 Communications Sofia 12h00 - 12h30 Wrap up Florent Humanitarian Network and Partnership Week- Geneva - 2020

  17. Pillar 2 - DATA ANALYSIS: collect & clean Disaster Warehouse Distances Items data data data data Em-Dat data List of Warehouses Warehouse Name Stock report (2013- 0576) & provinces (from stock data) Manual Typing Via Google Maps Cleaning Affected districts Biratnagar per disaster Blanket BLANKET Driving Distances Biratnagar (with (FLOODS) Blankets space) Census Data Biratnagar Sub- Field cross check metropolitan- 10, Affected people Tintolia, Morang per district per Biratnagar, ward-12 Reality adjustment Other Issues disaster Cleaning (4320 ppl) Biratnagar 56613, Nepal Of 101 disasters, 34 have NULL “Affected” Humanitarian Network and Partnership Week- Geneva - 2020

  18. Disasters Summary 90% disasters < 250,000 affected > 10% disasters 102 disasters affecting more than 100 people since 1980 14 12 How many disasters 10 8 6 4 2 0 People Affected (Scale doubles at each bucket) Sum of people affected by disaster type Count of disasters by type Humanitarian Network and Partnership Week- Geneva - 2020

  19. Warehouse locations 20 Depot Locations from Stock Report Ones in circles I combined to make easier to interpret Humanitarian Network and Partnership Week- Geneva - 2020

  20. Warehouse locations (Potential) 77 Provinces we assume are disaster distribution points Humanitarian Network and Partnership Week- Geneva - 2020

  21. Model and Metrics.. How does it work? Objectives: - Allocates inventory minimizing time or cost to respond - Optimizes average response time over all possible scenarios Inputs Output The model Data on needs Assessment (people affected) Transportation Guidance times/costs Disaster scenarios (A bunch of math) Inventory data Humanitarian Network and Partnership Week- Geneva - 2020

  22. ANALYSIS – Current Stock - BLANKETS Fraction of People Disasters Served People affected Can current stocks Number served People with OnHand by 90% of handle 90th Receommended Increase Item Units per item Served inventory disasters percentile disaster Stocks stocks by BlanketGen 111,637 2.2 244,100 0.92 225,000 Yes 102,899 0% HygieneKit 43,619 1 43,600 0.69 225,000 No 225,000 416% KitchenSetGen 3,864 5 19,300 0.61 225,000 No 45,000 1065% PlasticSheet4x6 104,960 2.5 262,400 0.92 225,000 Yes 90,000 0% ShelterKit 19,627 5 98,100 0.83 225,000 No 45,000 129% SleepingMats 6,806 1 6,800 0.45 225,000 No 225,000 3206% Tent 829 5 4,100 0.35 225,000 No 45,000 5328% WaterCollectStorage 62,574 2.5 156,400 0.84 225,000 No 90,000 44% Humanitarian Network and Partnership Week- Geneva - 2020

  23. WaterCollectStorageVessel_Bkt Tent SleepingMats ShelterKit PlasticSheet4x6 KitchenSetGen HygieneKit BlanketGen 1.00 1.05 1.10 1.15 Dasharathchanda Bhimdatta Best Place to add Dhangadhi Blankets Hetauda Bharatpur 44200 Pokhara Janakpur Best place to Kathmandu 44600 move blankets 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 FROM Value (in hours) of adding invenotry to warehouse Humanitarian Network and Partnership Week- Geneva - 2020

  24. Blankets: Actual Vs Optimum Bharatpur Siddharthanagar Biratnagar Hetauda Janakpur Kathmandu Optimal Inventory Actual Inventory 0 20,000 40,000 60,000 80,000 100,000 120,000 Biratnagar 56613, Nepal Hetauda, Nepal Janakpur, Nepal Bharatpur 44200, Nepal Kathmandu 44600, Nepal Siddharthanagar, Nepal Nepalgunj, Nepal Phidim 57400, Nepal Dipayal Silgadhi 10800, Nepal Bhimdatta, Nepal Birgunj, Nepal Pokhara, Nepal Dhangadhi, Nepal Dasharathchanda, Nepal Besisahar 33600, Nepal Humanitarian Network and Partnership Week- Geneva - 2020

  25. OPTIMUM locations - BLANLKETS Humanitarian Network and Partnership Week- Geneva - 2020 Humanitarian Network and Partnership Week- Geneva - 2020

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