Docs
  • Solver
  • Models
    • Field Service Routing
    • Employee Shift Scheduling
  • Platform
Try models
  • Employee Shift Scheduling
  • Introduction

Employee Shift Scheduling

    • Introduction
    • Planning AI concepts
    • Metrics and optimization goals
    • Getting started with employee shift scheduling
    • Understanding the API
    • Employee shift scheduling user guide
    • Employee resource constraints
      • Employee availability
      • Employee contracts
      • Work limits
        • Work limits
        • Minutes worked per period
        • Minutes worked in a rolling window
        • Minutes logged per period
        • Days worked per period
        • Days worked in a rolling window
        • Consecutive days worked rules
        • Shifts worked per period
        • Shifts worked in a rolling window
      • Time off
        • Time off
        • Days off per period
        • Consecutive days off in a rolling window
        • Consecutive minutes off in a rolling window
        • Shifts to avoid close to day off requests
      • Shift type diversity
      • Shift rotation and patterns
      • Fairness
      • Pairing employees
      • Shift travel and locations
    • Shift service constraints
      • Alternative shifts
      • Cost management
      • Demand and supply
      • Mandatory and optional shifts
      • Shift assignments
      • Shift sequence patterns: single day shifts
      • Shift sequence patterns: multi-day shifts
      • Shift sequence patterns: daily shift pairings
      • Skills and risk factors
    • Recommendations
    • Real-time planning
    • Time zones and Daylight Saving Time (DST)
    • New and noteworthy
    • Upgrading to the latest versions
    • Feature requests

Introduction

Employee shift scheduling efficiently assigns work shifts and tasks to employees with the goal of creating schedules that minimize labor costs, ensure proper coverage, and satisfy various constraints, such as employee availability and labor laws.

Field Service Routing map view

Next

  • Understand Planning AI concepts.

  • Follow the Getting started guide.

  • Read the User guide.

  • © 2025 Timefold BV
  • Timefold.ai
  • Documentation
  • Changelog
  • Send feedback
  • Privacy
  • Legal
    • Light mode
    • Dark mode
    • System default