Supply Chain Delay Simulation

This dataset provides detailed records of manufactured orders and shipments, including supplier information, transport modes, and comprehensive delay tracking with reasons such as weather and supplier issues. It enables granular analysis of supply chain disruptions and supports optimization efforts by highlighting delay patterns and their root causes across global logistics networks.

  • opened 5 times
  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Analyzing and predicting supply chain delays for risk mitigation

Sample rows

preview · 8 of 200 rows · all 23 columns
order_idstringdelay_reasonstringdelay_duration_daysintegerweather_impactbooleandestination_countrystringorder_datedateproduct_idstringproduct_namestringquantity_orderedintegersupplier_idstringsupplier_namestringsupplier_countrystringshipment_idstringshipment_datedateexpected_delivery_datedateactual_delivery_datedateorigin_citystringorigin_countrystringdestination_citystringtransport_modestringweather_descriptionstringsupplier_issue_flagbooleansupplier_issue_descriptionstring
ORD000001customs2falseUSA2023-01-04P-EQ23Industrial Gear Assembly124SUP001Shanghai PrecisionChinaSHIPA012023-01-052023-01-142023-01-16ShanghaiChinaLos Angelesseablankfalseblank
ORD000002none0falseGermany2023-01-06P-HV87Hydraulic Valve Set55SUP002Wroclaw EngineeringPolandSHIPB022023-01-072023-01-102023-01-10WroclawPolandBerlinroadblankfalseblank
ORD000003customs2falseCanada2023-01-08P-RA124Robotic Arm Segment480SUP003FutureTech LabsUSASHIPC012023-01-102023-01-122023-01-14AustinUSACalgaryairblankfalseblank
ORD000004weather2trueFrance2023-01-09P-PLD01Plastic Drive Housing25SUP004Italia PlasticaItalySHIPD052023-01-102023-01-132023-01-15MilanItalyMarseillerailHeavy snowstormfalseblank
ORD000005none0falseAustralia2023-01-11P-SE33Servo Encoder Module98SUP005Daegu RoboticsSouth KoreaSHIPE102023-01-132023-01-162023-01-16DaeguSouth KoreaBrisbaneairblankfalseblank
ORD000006none0falseThailand2023-01-11P-MT12Motor Torque Sensor15SUP006Hanoi ElectronicsVietnamSHIPF012023-01-132023-01-152023-01-15HanoiVietnamBangkokroadblankfalseblank
ORD000007none0falseUSA2023-01-13P-BC99Bearing Cartridge890SUP007Guangzhou BearingsChinaSHIPG032023-01-142023-01-222023-01-22GuangzhouChinaSan Franciscoseablankfalseblank
ORD000008transport1falseCzechia2023-01-14P-SSK2Sensor Kit26SUP008Krakow SuppliesPolandSHIPH012023-01-162023-01-182023-01-19KrakowPolandPragueroadblankfalseblank

What the 200 rows show

from the 200-row sample

None (delay reason) stands out: mean delay_duration_days is 0.0, against 2.0 for the rest.

  • 12%weather_impact = true
  • 1median delay_duration_days
  • 4transport modes
  • 14supplier countries
  • 14origin countries
  • 53origin cities
Mean delay_duration_days by delay_reason200 rows
0242.2weather23 rows3.2suppli…9 rows1.8customs43 rows1.7transp…31 rows0.0none94 rows
delay_duration_days200 rows, in bands of 0.5
0501009404303501708302.55delay_duration_days →

Median 1, from 0 to 5.

destination_country200 rows · top 10 of 39 values
  1. USA36
  2. Australia28
  3. Germany16
  4. Italy12
  5. Canada10
  6. Thailand10
  7. Austria7
  8. France5
  9. New Zealand5
  10. Czech Republic5
23 columns by typefrom the column list below
  • string 15
  • integer 2
  • date 4
  • boolean 2

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 15 columns
order_idstringUnique identifier for the manufactured orderuniqueORD000001
product_idstringIdentifier for the product being orderedP-EQ23
product_namestringName or description of the productIndustrial Gear Assembly
supplier_idstringUnique identifier for the supplierSUP001
supplier_namestringName of the supplierShanghai Precision
supplier_countrystringCountry where the supplier is locatedChina
shipment_idstringUnique identifier for the shipmentuniqueSHIPA01
origin_citystringCity where the shipment originatedShanghai
origin_countrystringCountry where the shipment originatedChina
destination_citystringDestination city for the shipmentLos Angeles
destination_countrystringDestination country for the shipmentUSA
transport_modestringMode of transport used for the shipment (e.g., air, sea, road, rail)air · sea · road · railsea
delay_reasonstringPrimary reason for delay, if any (e.g., weather, supplier_issue, customs, none)weather · supplier_issue · customs · transport · none · optionalcustoms
weather_descriptionstringDescription of the weather event (e.g., heavy rain, snowstorm); blank if no impactoptionalHeavy snowstorm
supplier_issue_descriptionstringDescription of the supplier issue (e.g., raw material shortage); blank if no issue7 descriptions · optionalComponent shortage
Numbers 2 columns
quantity_orderedintegerNumber of units ordered1 or more124
delay_duration_daysintegerNumber of days the shipment was delayed (0 if no delay)0 or more2
Dates and times 4 columns
order_datedateDate the order was placed2023-01-04
shipment_datedateDate the shipment was dispatched2023-01-05
expected_delivery_datedateDate the shipment is expected to arrive2023-01-14
actual_delivery_datedateDate the shipment actually arrivedoptional2023-01-16
True or false 2 columns
weather_impactbooleanIndicates if weather impacted the shipment (true/false)false
supplier_issue_flagbooleanIndicates if a supplier issue caused a delay (true/false)false

Use it for

  • weather impact12%23 of 200 rowsmean delay duration d…2.2weat…3.2supp…1.8cust…1.7tran…

    A logistics dashboard

    The weather_impact rate, delay_duration_days by delay_reason and a breakdown of destination_country. Excel, Power BI or Tableau.

  • Why do the 94 none rows have a mean delay_duration_days of 0.0?

    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 orders with order_date, product_id and product_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 23 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows23 columns
Yours1,000 rows23 columnssupplier_country: UK only

blueprint · supply-chain-delay-simulation

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 23 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
  • Delay causes classified by type
  • Order lines link to delivery events
  • Weather data merged by region/date
  • Delay durations capped at 30 days
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
supply-chain-delay-simulation

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