Manufacturing Supplier Lead Time Data

This dataset provides detailed records of manufacturing supplier lead times, including order and delivery dates, supplier and material information, and order status. It enables comprehensive analysis of supply chain efficiency, supplier reliability, and procurement optimization for manufacturing operations.

  • opened 8 times
  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Supplier performance benchmarking and reliability analysis

Sample rows

preview · 8 of 200 rows · all 16 columns
supplier_idstringorder_statusstringlead_time_daysfloatunit_of_measurestringsupplier_namestringmaterial_idstringmaterial_namestringorder_idstringorder_datedateexpected_delivery_datedateactual_delivery_datedatequantity_orderedfloatdelay_reasonstringsupplier_countrystringsupplier_citystringcontact_emailstring
SUPP_A001delivered6kgGlobal Steel ComponentsMAT-STEEL01Hot Rolled Steel SheetORD000012023-02-162023-02-222023-02-222500blankGermanyDusseldorfinfo@globalsteel.de
SUPP_B002delayed7unitsPacific Electronics SupplyPLS-ROBOT05Robotics Controller UnitORD000022024-01-122024-01-172024-01-191650Supplier backorder due to high demandJapanOsakasales@pacificelec.jp
SUPP_C003delivered9litersTransChem SolutionsMTR-CHEM12Industrial Cleaning SolventORD000032023-09-022023-09-112023-09-11500blankFranceLyoninfo@transchem.fr
SUPP_D004delayed15boxesMidwest Bearings LLCMAT-BEAR03Precision Ball Bearings - LargeORD000042022-10-132022-10-202022-10-2812000Customs clearance delayUSAClevelandinfo@midwestbearings.com
SUPP_E005pendingblankmetersNordic Fiber TechMTR-FIBER07Carbon Fiber SpoolORD000052024-03-022024-03-10blank9500blankSwedenStockholmsales@nordicfiber.se
SUPP_F006delivered8pcsBright Optics Ltd.PLS-LENS09Optical Glass LensesORD000062023-07-172023-07-252023-07-256000blankUnited KingdomCambridgeinfo@brightoptics.co.uk
SUPP_G007pendingblankpcsEast Asia PlasticsMAT-TUBE02Polymer Tubing 1mORD000072024-05-102024-05-19blank50000blankChinaShenzhensales@eastasiaplastics.cn
SUPP_H008delayed13kgAlpine MetalsMAT-ALUM04Aluminum IngotsORD000082023-12-042023-12-132023-12-1715000Weather-related transport delaySwitzerlandZurichinfo@alpinemetals.ch

What the 200 rows show

from the 200-row sample

Delivered (order status) stands out: mean lead_time_days is 7.9, against 15.4 for the rest.

  • 9median lead_time_days
  • 50supplier countries
  • 3,275median quantity_ordered
Mean lead_time_days by order_status160 rows
010207.9delivered102 rows15.4delayed58 rows
lead_time_days160 rows, in bands of 2.5
0306042602381124262517.530lead_time_days →

Median 9, from 5 to 30.

unit_of_measure200 rows · 6 values
  1. units47
  2. kg41
  3. boxes34
  4. pcs30
  5. meters27
  6. liters21
16 columns by typefrom the column list below
  • string 11
  • float 2
  • date 3

Columns

16 columns in three groups
blueprint · 16 columns
columntypedescriptionexample
Text 11 columns
supplier_idstringUnique identifier for the supplier providing manufacturing materials or components.SUPP_A001
supplier_namestringOfficial name of the supplier.Global Steel Components
material_idstringUnique identifier for the material or component supplied.MAT-STEEL01
material_namestringName or description of the material or component.Hot Rolled Steel Sheet
order_idstringUnique identifier for the procurement order.uniqueORD00001
unit_of_measurestringUnit of measurement for the ordered quantity (e.g., kg, pcs, liters).6 valueskg
order_statusstringCurrent status of the order (e.g., pending, delivered, delayed, cancelled).pending · delivered · delayed · cancelleddelivered
delay_reasonstringReason for delivery delay, if applicable.optionalCustoms clearance delay
supplier_countrystringCountry where the supplier is located.Germany
supplier_citystringCity where the supplier is located.optionalDusseldorf
contact_emailstringPrimary contact email for the supplier.optionalinfo@globalsteel.de
Numbers 2 columns
lead_time_daysfloatNumber of days between order placement and actual delivery (actual_delivery_date - order_date).0 or more · optional6
quantity_orderedfloatQuantity of material ordered in the procurement order.0 or more2500
Dates and times 3 columns
order_datedateDate when the order was placed with the supplier.2023-02-16
expected_delivery_datedateDate when the supplier is expected to deliver the material.2023-02-22
actual_delivery_datedateDate when the material was actually delivered.optional2023-02-22

Use it for

  • median lead ti…9160 rowsmean lead time days b…7.9delive…15.4delayed

    A manufacturing dashboard

    Lead_time_days by order_status and a breakdown of unit_of_measure. Excel, Power BI or Tableau.

  • Why do the 102 delivered rows have a mean lead_time_days of 7.9?

    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 suppliers with supplier_name, material_id and material_name to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows16 columns
Yours1,000 rows16 columnssupplier_country: UK only

blueprint · manufacturing-supplier-lead-time-data

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 16 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
  • Include supplier ID and region
  • Track lead time per order
  • Segment by material type
  • Flag late deliveries
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
manufacturing-supplier-lead-time-data

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