Work Order Request Tracking

This dataset logs detailed production floor work order requests, capturing request timing, personnel, equipment, status, and bottleneck indicators. It enables manufacturing teams to analyze response and resolution times, identify workflow bottlenecks, and optimize resource allocation for improved operational efficiency.

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

Analyze and reduce response and resolution times for production floor issues

Sample rows

preview · 8 of 70 rows · all 20 columns
work_order_idstringwork_order_typestringresponse_time_minutesintegeris_bottleneckbooleandepartmentstringrequest_datedatetimerequested_by_employee_idstringprioritystringmachine_idstringlocationstringassigned_to_employee_idstringassignment_datedatetimestatusstringstart_datedatetimecompletion_datedatetimeresolution_time_minutesintegerroot_causestringdescriptionstringactions_takenstringbottleneck_reasonstring
WO-240401-001maintenance12falseAssembly2024-04-01T08:17:00EMP024highMCH-1001Line 1, Zone AEMP1022024-04-01T08:25:00completed2024-04-01T08:29:002024-04-01T09:10:0041Scheduled preventive maintenanceRoutine lubrication required for conveyor belt system.Lubricated all moving parts, checked tension.blank
WO-240401-002repair13truePacking2024-04-01T09:02:00EMP032mediumMCH-2012Packing Bay 3EMP1172024-04-01T09:07:00in_progress2024-04-01T09:15:00blankblankWorn-out sealing elementSealer malfunctioning, not producing airtight seals.blankDelays in packing due to sealer downtime
WO-240401-003inspection19falseWelding2024-04-01T10:13:00EMP007lowMCH-3006Welding Area 2EMP1412024-04-01T10:20:00completed2024-04-01T10:32:002024-04-01T11:00:0028Routine inspectionQuarterly safety inspection for welding equipment.Checked safety interlocks and grounding.blank
WO-240401-004repair17trueCutting2024-04-01T11:03:00EMP014criticalMCH-4020Cutting Room 1EMP1072024-04-01T11:11:00completed2024-04-01T11:20:002024-04-01T12:40:0080Cooling system failureLaser cutter stopped mid-operation, error code 41.Replaced coolant pump; tested operation.Production halted for main cutting line
WO-240401-005setup20falseAssembly2024-04-01T11:30:00EMP022mediumMCH-1004Line 3EMP1192024-04-01T11:41:00in_progress2024-04-01T11:50:00blankblankblankSetup required for new product line run.blankblank
WO-240401-006otherblankfalseFinishing2024-04-01T12:12:00EMP018lowblankFinishing Zone BblankblankopenblankblankblankblankRequest to adjust lighting in finishing area.blankblank
WO-240401-007repair8falsePacking2024-04-01T12:44:00EMP028highMCH-2020Packing Bay 1EMP1142024-04-01T12:50:00completed2024-04-01T12:52:002024-04-01T13:08:0016Foreign object obstructionConveyor jammed at end of line.Cleared jam and reset controls.blank
WO-240401-008setup15falseAssembly2024-04-01T13:21:00EMP021mediumMCH-1002Line 2EMP1322024-04-01T13:29:00completed2024-04-01T13:36:002024-04-01T14:08:0032Scheduled production changeoverChangeover required for product variant B123.Adjusted tooling, re-calibrated sensors.blank

What the 70 rows show

from the 70-row sample

Repair (work order type) stands out: 13 of its 19 rows have is_bottleneck = true, against 1 of 51 for the rest.

  • 20%is_bottleneck = true
  • 19median response_time_minutes
  • 4priorities
  • 4statuses
  • 28median resolution_time_minutes
Is bottleneck rate by work_order_typeis_bottleneck = true
0%50%100%0%mainte…0 of 1668%repair13 of 190%setup0 of 140%inspec…0 of 1313%other1 of 8
response_time_minutes55 rows, in bands of 5
09182101712102100153055response_time_minutes →

Median 19, from 8 to 53.

department70 rows · 6 values
  1. Assembly17
  2. Packing14
  3. Welding13
  4. Finishing13
  5. Cutting7
  6. Milling6
20 columns by typefrom the column list below
  • string 13
  • integer 2
  • datetime 4
  • boolean 1

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 13 columns
work_order_idstringUnique identifier for each work order requestuniqueWO-240401-001
requested_by_employee_idstringUnique identifier of the employee who submitted the work order requestEMP024
departmentstringDepartment or production area where the work order originated6 departmentsAssembly
work_order_typestringType of work order (e.g., maintenance, repair, setup, inspection)maintenance · repair · setup · inspection · othermaintenance
prioritystringPriority level assigned to the work orderlow · medium · high · criticalhigh
descriptionstringDetailed description of the issue or requestCheck spindle oil level.
machine_idstringIdentifier for the specific machine or equipment involved (if applicable)optionalMCH-1001
locationstringPhysical location or area on the production floor where the issue occurredoptionalLine 1, Zone A
assigned_to_employee_idstringUnique identifier of the employee or technician assigned to the work orderoptionalEMP102
statusstringCurrent status of the work orderopen · in_progress · on_hold · completed · cancelledcompleted
root_causestringIdentified root cause of the issue (if applicable)optionalWorn-out sealing element
actions_takenstringSummary of actions taken to resolve the work orderoptionalLubricated all moving par…
bottleneck_reasonstringExplanation of how this work order contributed to a bottleneck (if applicable)optionalDelays in packing due to …
Numbers 2 columns
response_time_minutesintegerTime in minutes between request submission and work start0 or more · optional12
resolution_time_minutesintegerTime in minutes between work start and completion0 or more · optional41
Dates and times 4 columns
request_datedatetimeDate and time when the work order was submitted2024-04-01T08:17:00
assignment_datedatetimeDate and time when the work order was assignedoptional2024-04-01T08:25:00
start_datedatetimeDate and time when work on the order beganoptional2024-04-01T08:29:00
completion_datedatetimeDate and time when the work order was completedoptional2024-04-01T09:10:00
True or false 1 column
is_bottleneckbooleanIndicates if this work order contributed to a production bottleneckoptionalfalse

Use it for

  • is bottleneck20%14 of 70 rowsmean response time mi…18.2main…20.6repa…20.4setup22.5insp…

    A manufacturing dashboard

    The is_bottleneck rate, response_time_minutes by work_order_type and a breakdown of department. Excel, Power BI or Tableau.

  • Why do 14 of 70 rows have is_bottleneck = 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 work orders with request_date, requested_by_employee_id and department to fill a screen in front of a buyer.

Not quite right?

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This dataset70 rows20 columns
Yours1,000 rows20 columnslocation: UK only

blueprint · work-order-request-tracking

Behind this dataset

Same schema. As many rows as you need.

These 70 rows came out of a blueprint — 20 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
  • Record request timestamp and department
  • Log order type (repair, setup, adjustment)
  • Track time to completion
  • Flag repeat requests for same issue
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
work-order-request-tracking

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