ddmrp-buffer-manager
Demand-Driven MRP buffer positioning and management skill with dynamic adjustment
Best use case
ddmrp-buffer-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Demand-Driven MRP buffer positioning and management skill with dynamic adjustment
Teams using ddmrp-buffer-manager should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ddmrp-buffer-manager/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ddmrp-buffer-manager Compares
| Feature / Agent | ddmrp-buffer-manager | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Demand-Driven MRP buffer positioning and management skill with dynamic adjustment
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# DDMRP Buffer Manager
## Overview
The DDMRP Buffer Manager implements Demand-Driven Material Requirements Planning methodology for inventory management. It handles strategic buffer positioning, zone calculations, dynamic adjustments, and execution prioritization to create flow-based material planning.
## Capabilities
- **Strategic Decoupling Point Identification**: Optimal buffer location selection
- **Buffer Profile Assignment**: Categorize items by lead time and variability
- **Buffer Level Calculation**: Green, yellow, red zone determination
- **Dynamic Adjustment Factors**: Planned and recalculated adjustments
- **Net Flow Position Calculation**: Real-time inventory position
- **Execution Visibility and Prioritization**: Color-coded supply priorities
- **Buffer Health Monitoring**: On-target percentage tracking
- **Lead Time Compression Analysis**: Identify lead time reduction opportunities
## Input Schema
```yaml
ddmrp_request:
items: array
- sku_id: string
average_daily_usage: float
decoupled_lead_time: integer
minimum_order_quantity: integer
variability_factor: string # low, medium, high
lead_time_factor: string # short, medium, long
bom_structure: object
planned_adjustments: array # Promotions, seasonality
current_positions: array
calculation_scope: string # positioning, sizing, execution
```
## Output Schema
```yaml
ddmrp_output:
buffer_positions: array
- sku_id: string
is_decoupling_point: boolean
rationale: string
buffer_levels: array
- sku_id: string
buffer_profile: string
zones:
green: integer
yellow: integer
red: integer
red_safety: integer
total_buffer: integer
execution_priorities: array
- sku_id: string
net_flow_position: integer
net_flow_equation: string
priority_color: string
on_hand: integer
on_order: integer
qualified_demand: integer
buffer_health: object
```
## Usage
### Buffer Positioning Analysis
```
Input: BOM structure, lead times, demand variability
Process: Identify strategic inventory positioning points
Output: Recommended decoupling points with rationale
```
### Buffer Sizing Calculation
```
Input: ADU, lead time factors, variability factors
Process: Calculate zone sizes using DDMRP formulas
Output: Green, yellow, red zone levels by buffer
```
### Execution Priority Management
```
Input: Current inventory, orders, qualified demand
Process: Calculate net flow position, assign priority color
Output: Prioritized replenishment recommendations
```
## Integration Points
- **DDMRP Platforms**: Demand Driven Technologies, Replenishment+
- **ERP Systems**: BOM, inventory, demand data
- **Planning Systems**: Qualified demand, supply orders
- **Tools/Libraries**: DDMRP algorithms, flow optimization
## Process Dependencies
- Demand-Driven Material Requirements Planning (DDMRP)
- Inventory Optimization and Segmentation
- Safety Stock Calculation and Optimization
## Best Practices
1. Start with pilot categories before full rollout
2. Validate decoupling point selection with operations
3. Monitor buffer health daily during transition
4. Train planners on net flow execution
5. Review dynamic adjustment factors seasonally
6. Track lead time compression progressRelated Skills
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