ReddRadar
Agent skill
production-scheduler
Production scheduling optimization skill with constraint handling, changeover minimization, and due date management
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/business/operations/skills/production-scheduler
Metadata
Additional technical details for this skill
- domain
- business
- category
- capacity-planning
- specialization
- operations
SKILL.md
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
- Machine breakdown
- Rush order arrival
- Material shortage
- Quality issue
- Labor absence
Integration Points
- ERP/MRP systems
- Manufacturing Execution Systems
- Order management systems
- Shop floor data collection
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
a5c-ai/babysitter
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?