Emergency Supply Chain Optimization

This dataset provides detailed records of simulated emergency supply chain shipments, including resource types, quantities, multi-modal transport details, priority rankings, inventory constraints, and bottleneck tracking. It enables analysis of resource allocation efficiency, delivery times, and operational bottlenecks for scenario planning and digital transformation in crisis logistics.

  • last updated 6 Dec 2025
  • by GoMask
The brief that made it

Optimizing emergency supply chain resource allocation and delivery

Sample rows

preview · 8 of 120 rows · all 29 columns
shipment_idstringresource_typestringpriority_levelintegerinventory_constraint_flagbooleanorigin_facility_namestringrequest_idstringresource_quantityfloatorigin_facility_idstringorigin_street_addressstringorigin_citystringorigin_statestringorigin_postal_codestringorigin_countrystringdestination_site_idstringdestination_site_namestringdestination_street_addressstringdestination_citystringdestination_statestringdestination_postal_codestringdestination_countrystringtransport_modestringdeparture_datetimedatetimearrival_datetimedatetimeestimated_delivery_duration_hoursfloatactual_delivery_duration_hoursfloatinventory_available_at_originfloatbottleneck_flagbooleanbottleneck_descriptionstringscenario_idstring
SHIP0001medical_supplies1falseChicago Central Med DepotREQ10015200FAC0011800 N Damen AveChicagoIL60647USASITE001Evanston Emergency Clinic1003 Maple AveEvanstonIL60201USAroad2024-05-01T08:15:002024-05-01T10:15:002210000falseblankSCENARIO_ALPHA
SHIP0002food2falseHouston Food DistributionREQ1002600000FAC0022121 Main StHoustonTX77002USASITE002Dallas Disaster Relief Center3301 Ross AveDallasTX75204USArail2024-05-02T09:30:002024-05-02T16:00:006.57650000trueTrack maintenance delay near CorsicanaSCENARIO_BETA
SHIP0003water3falseDenver Water WarehouseREQ1003100000FAC0032555 W 6th AveDenverCO80204USASITE003Boulder Emergency Shelter2800 Jay RdBoulderCO80301USAroad2024-05-03T07:45:002024-05-03T09:45:0022150000falseblankSCENARIO_GAMMA
SHIP0004shelter_materials2falseSt. Louis Shelter DepotREQ100425000FAC0042020 Market StSt. LouisMO63103USASITE004Columbia Temporary Housing1100 College AveColumbiaMO65201USAroad2024-05-03T11:10:002024-05-03T15:00:003.93.930000falseblankSCENARIO_DELTA
SHIP0005fuel3falsePhoenix Fuel StorageREQ100550000FAC0057400 E McDowell RdScottsdaleAZ85257USASITE005Flagstaff Fire Response1700 S Milton RdFlagstaffAZ86001USAroad2024-05-04T08:00:002024-05-04T13:00:0055.560000trueAccident delay on I-17SCENARIO_EPSILON
SHIP0006other5falseNYC Miscellaneous DepotREQ10060.01FAC006300 W 145th StNew YorkNY10039USASITE006Manhattan Event Response230 E 51st StNew YorkNY10022USAroad2024-05-05T13:00:002024-05-05T13:30:000.50.50.02falseblankSCENARIO_ZETA
SHIP0007medical_supplies1falseChicago Central Med DepotREQ10077000FAC0011800 N Damen AveChicagoIL60647USASITE007Naperville Trauma Center1400 S Washington StNapervilleIL60540USAroad2024-05-06T07:20:002024-05-06T09:00:001.671.679300falseblankSCENARIO_ALPHA
SHIP0008food3falseHouston Food DistributionREQ100812000FAC0022121 Main StHoustonTX77002USASITE008Austin Food Bank6500 Metropolis DrAustinTX78744USAroad2024-05-07T08:00:002024-05-07T13:00:005515000falseblankSCENARIO_BETA

What the 120 rows show

from the 120-row sample

Medical_supplies (resource type) stands out: mean priority_level is 1.0, against 3.4 for the rest.

  • 3%inventory_constraint_flag = true
  • 3median priority_level
  • 5transport modes
  • 10scenarios
  • 13origin states
  • 17destination states
Mean priority_level by resource_type120 rows
0481.0medic…22 rows2.7food22 rows3.2water20 rows3.5shelt…19 rows3.4fuel19 rows4.4other18 rows
priority_level120 rows, in bands of 0.5
015302202702701925135priority_level →

Median 3, from 1 to 5.

origin_facility_name120 rows · top 10 of 31 values
  1. Dallas Distribution Center9
  2. Kansas City Shelter Depot8
  3. Denver Emergency Warehouse6
  4. Atlanta Fuel Terminal6
  5. Chicago Water Hub6
  6. St. Louis Shelter Depot5
  7. San Diego Micro Depot5
  8. Chicago Central Med Depot4
  9. Phoenix Fuel Storage4
  10. NYC Miscellaneous Depot4
29 columns by typefrom the column list below
  • string 20
  • integer 1
  • float 4
  • datetime 2
  • boolean 2

Columns

29 columns in four groups
blueprint · 29 columns
columntypedescriptionexample
Text 20 columns
shipment_idstringUnique identifier for each emergency supply shipmentuniqueSHIP0001
request_idstringUnique identifier for the emergency resource requestREQ1001
resource_typestringType of resource being shipped (e.g., medical supplies, food, water, shelter materials)6 valuesmedical_supplies
origin_facility_idstringUnique identifier for the facility or warehouse where shipment originatesFAC001
origin_facility_namestringName of the origin facility or warehouseDenver Water Warehouse
origin_street_addressstringStreet address of the origin facility1800 N Damen Ave
origin_citystringCity of the origin facilityChicago
origin_statestringState or province of the origin facilityIL
origin_postal_codestringPostal code of the origin facility60647
origin_countrystringCountry of the origin facilityUSA
destination_site_idstringUnique identifier for the emergency response site or recipient locationSITE001
destination_site_namestringName of the destination site or recipient locationFlagstaff Fire Response
destination_street_addressstringStreet address of the destination site1003 Maple Ave
destination_citystringCity of the destination siteEvanston
destination_statestringState or province of the destination siteIL
destination_postal_codestringPostal code of the destination site60201
destination_countrystringCountry of the destination siteUSA
transport_modestringPrimary mode of transport used for the shipmentroad · rail · air · sea · multi-modalroad
bottleneck_descriptionstringDescription of the bottleneck encountered (if any)optionalAccident delay on I-17
scenario_idstringIdentifier for the simulation scenario (for scenario planning and analysis)10 scenariosSCENARIO_ALPHA
Numbers 5 columns
resource_quantityfloatQuantity of the resource shipped (in standardized units)0.01 or more5200
priority_levelintegerPriority ranking of the shipment (1 = highest urgency)1 to 51
estimated_delivery_duration_hoursfloatEstimated total delivery time in hours0 or more2
actual_delivery_duration_hoursfloatActual total delivery time in hours0 or more · optional2
inventory_available_at_originfloatAvailable inventory of the resource at the origin facility at time of shipment0 or more10000
Dates and times 2 columns
departure_datetimedatetimeDate and time when the shipment leaves the origin facility2024-05-01T08:15:00
arrival_datetimedatetimeDate and time when the shipment arrives at the destination site2024-05-01T10:15:00
True or false 2 columns
inventory_constraint_flagbooleanIndicates if inventory constraints affected the shipment (true if constraints present)false
bottleneck_flagbooleanIndicates if a bottleneck was encountered during transportoptionalfalse

Use it for

  • inventory cons…3%4 of 120 rowsmean priority level b…1.0medi…2.7food3.2water3.5shel…

    A logistics dashboard

    The inventory_constraint_flag rate, priority_level by resource_type and a breakdown of origin_facility_name. Excel, Power BI or Tableau.

  • Why do the 22 medical_supplies rows have a mean priority_level of 1.0?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable shipments with request_id, resource_type and resource_quantity to fill a screen in front of a buyer.

Not quite right?

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This dataset120 rows29 columns
Yours1,000 rows29 columnsorigin_street_address: UK only

blueprint · emergency-supply-chain-optimization

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 29 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Critical resources receive highest priority for delivery
  • Transport route selection must minimize overall delay
  • Inventory levels are updated after each dispatch
  • Orders exceeding available inventory are flagged for escalation
  • Delivery times impacted by simulated traffic and weather events
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
emergency-supply-chain-optimization

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