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  • Field Service Routing
  • User guide
  • Output datasets
  • Key performance indicators (KPIs)

Field Service Routing

    • Introduction
    • Getting started: Hello world
    • User guide
      • Terminology
      • Use case guide
      • Planning AI concepts
      • Integration
      • Constraints
      • Understanding the API
      • Demo datasets
      • Input datasets
        • Model configuration
        • Model input
        • Planning window
        • Time zones and daylight-saving time (DST)
      • Routing with Timefold’s maps service
      • Input validation
      • Model response
      • Output datasets
        • Metadata
        • Model output
        • Input metrics
        • Key performance indicators (KPIs)
      • Key performance indicators (KPIs)
      • Metrics and optimization goals
    • Vehicle resource constraints
      • Shift hours and overtime
      • Lunch breaks and personal appointments
      • Fairness
      • Route optimization
      • Technician costs
      • Technician ratings
    • Visit service constraints
      • Time windows and opening hours
      • Skills
      • Visit dependencies
      • Multi-vehicle visits
      • Movable visits and multi-day schedules
      • Priority visits and optional visits
      • Visit service level agreement (SLA)
      • Visit requirements, area affinity, and tags
        • Visit requirements
        • Technician coverage area
        • Tags
    • Recommendations
      • Visit time window recommendations
      • Visit group time window recommendations
    • Real-time planning
      • Real-time planning: extended visit
      • Real-time planning: reassignment
      • Real-time planning: emergency visit
      • Real-time planning: no show
      • Real-time planning: technician ill
      • Real-time planning: pinning visits
    • Real-time planning with patches
      • Real-time planning: extended visit (using patches)
      • Real-time planning: reassignment (using patches)
      • Real-time planning: emergency visit (using patches)
      • Real-time planning: no show (using patches)
      • Real-time planning: technician ill (using patches)
      • Real-time planning: pinning visits (using patches)
    • Scenarios
      • Long-running visits
      • Configuring labor law compliance
    • Changelog
    • Upgrade to the latest version
    • Feature requests

Key performance indicators (KPIs)

The kpis object includes the KPIs for the dataset and provide an overview of the combined metrics from the individual vehicle shifts.

In addition to providing general information these KPIs are also useful for determining the result of experimenting with different optimization goals.

{
  "kpis": {
    "averageTravelTimePerVisit": "PT48M2S",
    "totalTravelTime": "PT1H36M4S",
    "travelTimeFromStartLocationToFirstVisit": "PT21M36S",
    "travelTimeBetweenVisits": "PT44M38S",
    "travelTimeFromLastVisitToEndLocation": "PT29M50S",
    "averageTravelDistanceMetersPerVisit": 52614,
    "totalTravelDistanceMeters": 105227,
    "travelDistanceFromStartLocationToFirstVisitMeters": 21412,
    "travelDistanceBetweenVisitsMeters": 49808,
    "travelDistanceFromLastVisitToEndLocationMeters": 34007,
    "totalUnassignedVisits": 0,
    "totalAssignedVisits": 2,
    "assignedMandatoryVisits": 2,
    "unassignedMandatoryVisits": 0,
    "totalActivatedVehicles": 1,
    "workingTimeFairnessPercentage": 0,
    "totalTechnicianCosts": 100,
    "totalOvertime": "PT0S",
    "availableOvertime": "PT0S"
  }
}

Next

  • See the full API spec or try the online API.

  • Learn more about field service routing from our YouTube playlist.

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