Manufacturing Order Fulfillment Records

This dataset provides comprehensive records of manufacturing order fulfillment, capturing order details, production timelines, delivery logistics, and outcomes. It enables analysis of lead times, delivery performance, and production efficiency, supporting data-driven decision-making in manufacturing operations and supply chain management.

  • opened 9 times
  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Production planning and scheduling optimization

Sample rows

preview · 8 of 200 rows · all 21 columns
order_idstringdelivery_outcomestringquantity_fulfilledintegerdelivery_countrystringcustomer_idstringproduct_idstringorder_datedateplanned_start_datedateactual_start_datedateplanned_completion_datedateactual_completion_datedatequantity_orderedintegerlead_time_daysfloatdelivery_datedatedelivery_statusstringdelivery_street_addressstringdelivery_citystringdelivery_statestringdelivery_postal_codestringorder_statusstringremarksstring
ORD0001on_time1200USACUST0001PROD-AX1002024-01-072024-01-082024-01-082024-01-152024-01-14120062024-01-15delivered255 Maple AveHoustonTX77002completedOrder fulfilled as scheduled.
ORD0002partial4500CanadaCUST0002PROD-QX2002024-03-102024-03-122024-03-132024-03-222024-03-245000112024-03-29delayed99 Rosewood DriveTorontoONM5H 2N2completedShortage due to supplier delay.
ORD0003on_time80UKCUST0003PROD-BL1502023-10-022023-10-032023-10-032023-10-112023-10-098062023-10-10delivered12 Abbey LaneManchesterENGM20 2YYcompletedblank
ORD0004on_time25000FranceCUST0004PROD-ZT4502024-05-252024-05-262024-05-272024-06-052024-06-052500092024-06-07delivered88 Rue LafayetteParisIDF75009completedLarge order for annual contract.
ORD0005late300AustraliaCUST0005PROD-GL3332024-02-172024-02-182024-02-202024-02-282024-03-0130092024-03-02delivered300 Ocean ViewSydneyNSW2000completedOne day delay due to port backlog.
ORD0006failed0GermanyCUST0006PROD-WR2202022-11-152022-11-16blank2022-11-23blank500blankblankpending19 Cherry StreetBerlinBE10115openOrder delayed, awaiting approval.
ORD0007partial2950USACUST0007PROD-CT9992024-03-312024-04-012024-04-022024-04-102024-04-08300062024-04-09delayed44 Pine Tree RdMemphisTN38103completedPartial delivery, last batch delayed.
ORD0008on_time150UKCUST0008PROD-KT1202024-01-212024-01-222024-01-222024-01-302024-01-2915072024-01-30delivered112 King StreetLondonENGWC2E 8HNcompletedblank

What the 200 rows show

from the 200-row sample

Partial (delivery outcome) stands out: mean quantity_fulfilled is 8,969, against 1,497 for the rest.

  • 500median quantity_fulfilled
  • 4order statuses
  • 5delivery statuses
  • 59delivery states
  • 720median quantity_ordered
  • 8median lead_time_days
Mean quantity_fulfilled by delivery_outcome200 rows
05,00010k1,198on_time135 rows5,239late20 rows8,969partial22 rows0.0failed23 rows
quantity_fulfilled200 rows, in bands of 2,500
0851701661215401542012.5k25kquantity_fulfilled →

Median 500, from 0 to 25,000.

delivery_country200 rows · top 10 of 31 values
  1. USA46
  2. UK23
  3. Australia21
  4. Canada15
  5. Germany10
  6. Spain10
  7. France8
  8. Ireland8
  9. Switzerland8
  10. Italy7
21 columns by typefrom the column list below
  • string 12
  • integer 2
  • float 1
  • date 6

Columns

21 columns in three groups
blueprint · 21 columns
columntypedescriptionexample
Text 12 columns
order_idstringUnique identifier for the manufacturing orderuniqueORD0001
customer_idstringUnique identifier for the customer placing the orderCUST0001
product_idstringUnique identifier for the product being manufacturedPROD-AX100
delivery_statusstringCurrent status of the delivery (e.g., pending, shipped, delivered, delayed, cancelled)pending · shipped · delivered · delayed · cancelleddelivered
delivery_outcomestringOutcome of the delivery (e.g., on_time, late, partial, failed)on_time · late · partial · failedon_time
delivery_street_addressstringStreet address for delivery destination255 Maple Ave
delivery_citystringCity for delivery destinationHouston
delivery_statestringState or region for delivery destinationTX
delivery_postal_codestringPostal code for delivery destination77002
delivery_countrystringCountry for delivery destinationUSA
order_statusstringCurrent status of the manufacturing order (e.g., open, in_production, completed, cancelled)open · in_production · completed · cancelledcompleted
remarksstringAdditional notes or comments related to the order or fulfillmentoptionalHigh priority client.
Numbers 3 columns
quantity_orderedintegerTotal quantity of product ordered1 or more1200
quantity_fulfilledintegerQuantity of product actually fulfilled/delivered0 or more1200
lead_time_daysfloatNumber of days between order placement and actual completion0 or more · optional6
Dates and times 6 columns
order_datedateDate when the manufacturing order was placed2024-01-07
planned_start_datedatePlanned date for starting production of the order2024-01-08
actual_start_datedateActual date when production startedoptional2024-01-08
planned_completion_datedatePlanned date for completing the order2024-01-15
actual_completion_datedateActual date when the order was completedoptional2024-01-14
delivery_datedateDate when the order was delivered to the customeroptional2024-01-15

Use it for

  • median quantit…500200 rowsmean quantity fulfill…1.2kon_t…5.2klate9kpart…0.0fail…

    A manufacturing dashboard

    Quantity_fulfilled by delivery_outcome and a breakdown of delivery_country. Excel, Power BI or Tableau.

  • Why do the 22 partial rows have a mean quantity_fulfilled of 8,969?

    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 customer_id, product_id and order_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 21 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows21 columns
Yours1,000 rows21 columnsdelivery_street_address: UK only

blueprint · manufacturing-order-fulfillment-records

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 21 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
  • Order ID and product details
  • Requested and delivered quantities logged
  • Lead time and delivery delay annotated
  • Fulfillment outcome flagged
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
manufacturing-order-fulfillment-records

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