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CVaR-based stochastic reshoring optimizer — quantifies when domestic sourcing pays off using Cox-process scenarios and MILP

0 starsPython

Tailguard – A tested CVaR-based optimizer for stochastic reshoring

by dismissed181·Jul 18, 2026·1 point·0 comments

AI Analysis

●●SolidNiche GemBig Brain

Rare open-source CVaR optimizer for supply chain reshoring using exact MILP solvers.

Strengths
  • Implements exact componentwise certificates alongside MILP for verification without solver dependencies.
  • Cox-process scenario generation models disruption counts rather than assuming normal distributions.
  • Jupyter notebook interface includes state invalidation to prevent stale policy decisions.
Weaknesses
  • Research prototype explicitly disclaims production readiness or financial advice capabilities.
  • Requires local HiGHS or CBC solver installation for full MILP and Benders decomposition features.
Category
Target Audience

Supply chain analysts, operations researchers, quantitative finance professionals

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Gurobi · CVXPY · Pyomo

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