Plant Supply Chain Logistics Events

This dataset provides detailed, event-level tracking of cross-border logistics for manufacturing plants, including shipment details, customs status, supplier reliability, and delay analysis. It enables operations managers to pinpoint bottlenecks, assess supplier performance, and optimize supply chain efficiency for risk mitigation and strategic planning.

  • last updated 9 Dec 2025
  • by GoMask
The brief that made it

Identifying and analyzing supply chain bottlenecks and delays

Sample rows

preview · 8 of 120 rows · all 26 columns
event_idstringevent_typestringsupplier_reliability_scorefloatrisk_flagbooleanshipment_modestringplant_idstringplant_namestringplant_countrystringsupplier_idstringsupplier_namestringsupplier_countrystringshipment_idstringevent_datetimedatetimeexpected_arrival_datedateactual_arrival_datedatecustoms_statusstringdelay_reasonstringdelay_duration_hoursfloatshipment_quantityintegershipment_unitstringgoods_descriptionstringdestination_address_streetstringdestination_address_citystringdestination_address_statestringdestination_address_postal_codestringdestination_address_countrystring
EVT-0001shipped0.94falseroadPLT-101Munich Automotive HubGermanySUP-201Berlin GearworksGermanySHP-30012024-03-01T08:10:002024-03-02blanknot_requiredblankblank2400piecesTransmission assemblies for sedans1227 DieselstrasseMunichBavaria80331Germany
EVT-0002arrived0.89falseroadPLT-102Shanghai Electronics ParkChinaSUP-202Suzhou Circuitry Ltd.ChinaSHP-30022024-03-04T10:15:002024-03-052024-03-05not_requiredblankblank1800piecesMicrocontroller chips for assembly88 Science RdShanghaiShanghai200233China
EVT-0003customs_clearance0.77falserailPLT-103Detroit MetalworksUnited StatesSUP-203Toronto Steel SupplyCanadaSHP-30032024-04-01T13:24:002024-04-03blankpendingblankblank12000kgRolled steel sheets for stamping500 Foundry AveDetroitMichigan48216United States
EVT-0004arrived0.82falseroadPLT-104Warsaw PlasticsPolandSUP-204Prague Polymer Co.Czech RepublicSHP-30042024-05-10T09:41:002024-05-122024-05-12clearedblankblank6500kgABS resin for injection molding21 Plastowa StreetWarsawMazovia01-963Poland
EVT-0005shipped0.85falseroadPLT-105Barcelona Textile MillSpainSUP-205Lisbon FiberworksPortugalSHP-30052024-03-15T12:32:002024-03-17blankclearedblankblank5100kgCotton fiber bales for weaving9 Carrer de la IndustriaBarcelonaCatalonia08025Spain
EVT-0006delayed0.66trueroadPLT-106Dallas Electronics AssemblyUnited StatesSUP-206Tijuana Connectors SAMexicoSHP-30062024-04-08T14:03:002024-04-102024-04-13clearedBorder inspection delays723200piecesConnector sets for circuit boards2124 Elm StreetDallasTexas75201United States
EVT-0007delivered0.91falseroadPLT-107Turin FoundryItalySUP-207blankItalySHP-30072024-04-25T07:45:002024-04-262024-04-26not_requiredblankblank4100kgAluminum ingots for casting130 Via IndustrialeTurinPiedmont10122Italy
EVT-0008customs_clearance0.73trueseaPLT-108Leeds Chemical WorksUnited KingdomSUP-208Rotterdam Chemicals BVNetherlandsSHP-30082024-05-06T11:20:002024-05-10blankpendingblankblank21000kgIndustrial solvents for mixing22 Chemical LaneLeedsYorkshireLS10 1AAUnited Kingdom

What the 120 rows show

from the 120-row sample

Delayed (event type) stands out: 14 of its 14 rows have risk_flag = true, against 7 of 106 for the rest.

  • 18%risk_flag = true
  • 0.87median supplier_reliability_score
  • 3customs statuses
  • 3shipment units
  • 72.0median delay_duration_hours
  • 3,200median shipment_quantity
Risk flag rate by event_typerisk_flag = true
0%50%100%0%shipp…0 of 350%arriv…0 of 3343%custo…6 of 14100%delay…14 of …0%in_tr…0 of 86%deliv…1 of 16
supplier_reliability_score120 rows, in bands of 0.05
020403666824342850.550.81supplier_reliability_score →

Median 0.87, from 0.59 to 0.97.

shipment_mode120 rows · 4 values
  1. road71
  2. rail23
  3. sea21
  4. air5
26 columns by typefrom the column list below
  • string 19
  • integer 1
  • float 2
  • date 2
  • datetime 1
  • boolean 1

Columns

26 columns in four groups
blueprint · 26 columns
columntypedescriptionexample
Text 19 columns
event_idstringUnique identifier for each logistics eventuniqueEVT-0001
plant_idstringUnique identifier for the manufacturing plant involved in the eventPLT-101
plant_namestringName of the manufacturing plantoptionalMunich Automotive Hub
plant_countrystringCountry where the manufacturing plant is locatedGermany
supplier_idstringUnique identifier for the supplierSUP-201
supplier_namestringName of the supplieroptionalBerlin Gearworks
supplier_countrystringCountry where the supplier is locatedGermany
shipment_idstringUnique identifier for the shipmentSHP-3001
shipment_modestringMode of shipment (e.g., air, sea, road, rail)air · sea · road · railroad
event_typestringType of logistics event (e.g., shipped, arrived, customs_clearance, delayed)6 valuesshipped
customs_statusstringCurrent customs status (e.g., pending, cleared, rejected)pending · cleared · rejected · not_required · optionalnot_required
delay_reasonstringReason for any shipping delayoptionalBorder inspection delays
shipment_unitstringUnit of measurement for the shipment quantity (e.g., pieces, kg, tons)3 unitspieces
goods_descriptionstringDescription of goods in the shipmentoptionalCotton yarn for weaving
destination_address_streetstringStreet address of the destination plantoptional1227 Dieselstrasse
destination_address_citystringCity of the destination plantoptionalMunich
destination_address_statestringState or province of the destination plantoptionalBavaria
destination_address_postal_codestringPostal code of the destination plantoptional80331
destination_address_countrystringCountry of the destination plantoptionalGermany
Numbers 3 columns
delay_duration_hoursfloatDuration of delay in hours, if applicable0 or more · optional72
shipment_quantityintegerQuantity of goods shipped in this event1 or more2400
supplier_reliability_scorefloatReliability score of the supplier (0-1 scale)0 to 1 · optional0.94
Dates and times 3 columns
event_datetimedatetimeDate and time when the event occurred2024-03-01T08:10:00
expected_arrival_datedateExpected date of arrival for the shipmentoptional2024-03-02
actual_arrival_datedateActual date of arrival for the shipmentoptional2024-03-05
True or false 1 column
risk_flagbooleanIndicates if this event is flagged as a supply chain riskoptionalfalse

Use it for

  • risk flag18%21 of 120 rowsmean supplier reliabi…0.89ship…0.88arri…0.76cust…0.64dela…

    A logistics dashboard

    The risk_flag rate, supplier_reliability_score by event_type and a breakdown of shipment_mode. Excel, Power BI or Tableau.

  • Why do 21 of 120 rows have risk_flag = true?

    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 events with plant_id, plant_name and plant_country to fill a screen in front of a buyer.

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This dataset120 rows26 columns
Yours1,000 rows26 columnsplant_country: UK only

blueprint · plant-supply-chain-logistics-events

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 26 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
  • Each row represents a unique logistics event involving goods movement across borders.
  • Include event date, origin, destination, supplier ID, and customs clearance status.
  • Delay reasons must be classified into predefined categories (e.g., customs, transport, weather).
  • Supplier reliability rating updates after every shipment delivered.
  • Events flagged if delay exceeds 48 hours.
  • Track mode of transport (air, sea, rail, road).
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
plant-supply-chain-logistics-events

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