replenishment-strategy
CommunityOptimize inventory flow and stock levels.
Authorkishorkukreja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps design and optimize inventory replenishment strategies, ensuring optimal stock levels, minimizing stockouts, and reducing excess inventory across various supply chain scenarios.
Core Features & Use Cases
- Replenishment Policy Design: Implement continuous review (s, Q), periodic review (R, S), and min-max policies.
- Demand-Driven Replenishment: Utilize pull-based systems responsive to actual consumption.
- Multi-Echelon Planning: Calculate parameters for complex networks like DC-to-store replenishment.
- Use Case: A retail manager needs to determine the optimal reorder point and order quantity for a popular product to maintain a 95% service level, considering a 14-day lead time and daily demand variability.
Quick Start
Use the replenishment-strategy skill to calculate the reorder point for a product with average daily demand of 100 units, a 14-day lead time, and a daily demand standard deviation of 20 units, targeting a 95% service level.
Dependency Matrix
Required Modules
numpyscipypandas
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: replenishment-strategy Download link: https://github.com/kishorkukreja/awesome-supply-chain/archive/main.zip#replenishment-strategy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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