Agent-Skills.md

Agent Skills: Production Scheduler

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

capacity-planningID: a5c-ai/babysitter/production-scheduler

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/library/specializations/domains/business/operations/skills/production-scheduler

Skill Files

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library/specializations/domains/business/operations/skills/production-scheduler/SKILL.md

Skill Metadata

Name
production-scheduler
Description
Production scheduling optimization skill with constraint handling, changeover minimization, and due date management

Production Scheduler

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

| Objective | Description | Metric | |-----------|-------------|--------| | On-time delivery | Meet customer due dates | % on-time | | Throughput | Maximize output | Units/day | | Utilization | Efficient resource use | % utilized | | Changeover | Minimize setup time | Total setup hours | | WIP | Minimize 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