network-optimization-modeler

Solid

Supply chain network design and optimization skill using mathematical modeling

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 95/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Network Optimization Modeler ## Overview The Network Optimization Modeler provides supply chain network design and optimization capabilities using mathematical modeling techniques. It supports facility location decisions, transportation lane optimization, inventory positioning, and cost-service tradeoff analysis. ## Capabilities - **Center of Gravity Analysis**: Geographic demand-weighted location analysis - **Mixed-Integer Linear Programming**: Optimization model formulation and solving - **Facility Location Optimization**: Warehouse and distribution center placement - **Transportation Lane Optimization**: Freight lane and mode optimization - **Inventory Positioning by Node**: Multi-echelon inventory placement - **Cost-Service Tradeoff Analysis**: Pareto frontier exploration - **Scenario Modeling and Comparison**: What-if network configurations - **Network Visualization**: Geographic and flow visualization ## Input Schema ```yaml network_optimization_request: network_elements: suppliers: array facilities: array - facility_id: string type: string # plant, DC, hub location: object capacity: float fixed_cost: float variable_cost: float status: string # existing, candidate customers: array products: array demand_data: customer_demand: array seasonality: object cost_data: transportation_rates: array facility_costs: object inventory_costs: object constr...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills