dynamic-lot-sizing
CommunityOptimize inventory with changing demand/costs.
Data & Analytics#inventory management#dynamic programming#lot sizing#time-varying demand#price speculation#rolling horizon
Authorkishorkukreja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill optimizes inventory replenishment decisions for systems where demand, costs, or prices change over time, moving beyond static models to handle real-world complexities.
Core Features & Use Cases
- Dynamic Lot-Sizing: Solves inventory problems with time-varying parameters using dynamic programming.
- Price Speculation Analysis: Identifies opportunities to buy inventory ahead of anticipated price increases.
- Rolling Horizon Simulation: Simulates planning with replanning at regular intervals to adapt to changing forecasts.
- Use Case: A retail company facing seasonal demand and upcoming supplier price hikes can use this Skill to determine optimal order quantities each month to minimize total costs.
Quick Start
Use the dynamic-lot-sizing skill to solve a 12-month inventory problem with seasonal demand and a price increase in month 6.
Dependency Matrix
Required Modules
numpypandasmatplotlibscipy
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: dynamic-lot-sizing Download link: https://github.com/kishorkukreja/awesome-supply-chain/archive/main.zip#dynamic-lot-sizing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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