Schedule Generation System

Analyzes thousands of shift pattern combinations to find the best match for your production demands.

Pattern Analysis Cost Calculation Demand Comparison
~1 sec
Generate schedule (patterns assigned)
seconds
Prove the optimal schedule (CP-SAT)

50 employees, local processing

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Detailed system description

Typical Scheduling Challenge

  • 50 employees × 20 shifts per month = 1,000 manual Excel entries
  • After completion: schedule doesn't match production demand
  • Start over, repeat many times
  • Result: Scattered schedules, dissatisfied employees

How the System Works

  • Define shift patterns in Excel (e.g. 7 days work, 3 days off)
  • CP-SAT solver proves the best assignment (patterns + shifts) in seconds
  • Each combination is compared against production requirements
  • Cost calculated (overtime, night shifts, holidays)

Processing Time

Scenario 1: Patterns Already Assigned

When you've already chosen which pattern each employee gets:

~1 second

System just generates schedule for 50 employees

Scenario 2: Combination Analysis

When system needs to find the best combination:

seconds

Prove the optimal schedule (CP-SAT)

Try Live Demo

Upload Excel file with shift patterns and employee list. System analyzes the best combination.

Excel files (.xlsx, .xls) up to 16MB

Get Started

Download sample with shift patterns, employee list, and production demand.

Download Sample File

Sample includes:

  • • Shift patterns (7 days work + 3 off, etc.)
  • • List of 50 employees with vacations
  • • Production demand (how many per hour)
  • • Instructions on how to modify

Shift Pattern Example

Key Features

Unlimited Patterns

Create as many shift patterns as needed in Excel

Vacation Handling

System automatically considers employee vacations

Demand Comparison

Each combination compared against production requirements

Cost Calculation

Total calculation incl. overtime, night shifts, holidays

Excel

Input and output data in familiar Excel format

Python

Powerful analysis algorithms for consistent performance

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Detailed description of algorithm, technical architecture, and usage examples