Production Scheduler

SkillProductivity

Production scheduling optimization skill with constraint handling, changeover minimization, and due date management

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Production Scheduler skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/operations/skills/production-scheduler/SKILL.md and read by ahel’s review.

Overview

The Production Scheduler skill provides comprehensive capabilities for optimizing production schedules. It supports finite capacity scheduling, changeover optimization, due date prioritization, and real-time rescheduling to maximize throughput and on-time delivery.

Capabilities

  • Finite capacity scheduling
  • Changeover sequence optimization
  • Due date prioritization
  • Machine assignment optimization
  • Setup time reduction
  • Order splitting strategies
  • Schedule compression techniques
  • Real-time rescheduling

Used By Processes

  • CAP-002: Production Scheduling Optimization
  • TOC-002: Drum-Buffer-Rope Scheduling
  • LEAN-004: Kanban System Design

Tools and Libraries

  • Scheduling algorithms
  • Optimization solvers (Gurobi, CPLEX, OR-Tools)
  • ERP scheduling modules
  • APS systems

Usage

skill: production-scheduler
inputs:
  orders:
    - order_id: "ORD001"
      product: "Widget A"
      quantity: 500
      due_date: "2026-02-10"
      priority: "high"
    - order_id: "ORD002"
      product: "Widget B"
      quantity: 300
      due_date: "2026-02-12"
      priority: "normal"
  resources:
    - machine: "Press 1"
      available_hours: 16
      products: ["Widget A", "Widget B", "Widget C"]
    - machine: "Press 2"
      available_hours: 16
      products: ["Widget A", "Widget C"]
  changeover_matrix:
    "Widget A -> Widget B": 30  # minutes
    "Widget A -> Widget C": 45
    "Widget B -> Widget A": 25
  scheduling_rules:
    - "minimize_lateness"
    - "minimize_changeovers"
outputs:
  - production_schedule
  - machine_assignments
  - changeover_sequence
  - on_time_performance
  - utilization_metrics

Scheduling Objectives

ObjectiveDescriptionMetric
On-time deliveryMeet customer due dates% on-time
ThroughputMaximize outputUnits/day
UtilizationEfficient resource use% utilized
ChangeoverMinimize setup timeTotal setup hours
WIPMinimize work in process$ WIP value

Scheduling Rules

Priority Rules

  • EDD (Earliest Due Date) - Schedule by due date
  • SPT (Shortest Processing Time) - Shortest jobs first
  • FCFS (First Come First Served) - Order received
  • CR (Critical Ratio) - Time remaining / work remaining

Sequencing Rules

  • Grouping - Similar products together
  • Optimal changeover - Minimize total setup time
  • Color wheel - Light to dark, small to large

Schedule Optimization

Minimize: Total Lateness + (Changeover Time x Weight)

Subject to:
- Capacity constraints
- Due date requirements
- Material availability
- Resource skills

Real-Time Rescheduling Triggers

  1. Machine breakdown
  2. Rush order arrival
  3. Material shortage
  4. Quality issue
  5. Labor absence

Integration Points

  • ERP/MRP systems
  • Manufacturing Execution Systems
  • Order management systems
  • Shop floor data collection

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
production-scheduler
Source
github.com/a5c-ai/babysitter