Demand-Driven MRP buffer positioning and management skill with dynamic adjustment
Manages inventory buffers using DDMRP methodology to calculate optimal stock levels and prioritize replenishment.
npx claudepluginhub a5c-ai/babysitterThis skill is limited to using the following tools:
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.
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
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
Input: BOM structure, lead times, demand variability
Process: Identify strategic inventory positioning points
Output: Recommended decoupling points with rationale
Input: ADU, lead time factors, variability factors
Process: Calculate zone sizes using DDMRP formulas
Output: Green, yellow, red zone levels by buffer
Input: Current inventory, orders, qualified demand
Process: Calculate net flow position, assign priority color
Output: Prioritized replenishment recommendations
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Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
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