SupplyChainOptimizer
A Python-based MILP solver for supply chain network optimization, supporting multi-scenario analysis, multi-objective goals, and multi-modal transport. It features a modular architecture with configurable solvers (HiGHS, CBC, SCIP) and processes Excel/JSON inputs to generate detailed optimization outputs.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install johnathon-wheaton-supplychainoptimizer
Repository
A Python-based MILP solver for supply chain network optimization, supporting multi-scenario analysis, multi-objective goals, and multi-modal transport. It features a modular architecture with configurable solvers (HiGHS, CBC, SCIP) and processes Excel/JSON inputs to generate detailed optimization outputs.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Johnathon-Wheaton.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install SupplyChainOptimizer into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://www.skillhub.club/skills/johnathon-wheaton-supplychainoptimizer before adding SupplyChainOptimizer to shared team environments
- Use SupplyChainOptimizer for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.