Installable skillMIT

Production Scheduler

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

BY a5c-aiUPDATED Oct 28, 2026
INTENDED FOR✳Claude Code>_Codex◈OpenClaw↗CursorInstall in a listed agent.

instructions.md

---
name: production-scheduler-73728cf84ad7
description: Production scheduling optimization skill with constraint handling, changeover minimization, and due date management
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Edit
metadata:
  specialization: operations
  domain: business
  category: capacity-planning
graph:
  domains: [domain:operations]
  skillAreas: [skill-area:capacity-planning-ops, skill-area:quantitative-modeling, skill-area:data-analytics]
  workflows: [workflow:vendor-onboarding, workflow:vendor-evaluation]
  roles: [role:operations-analyst, role:procurement-manager, role:business-analyst]
---

# 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

```yaml
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
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.