HSR Optimizer

The HSR Optimizer is a multi-criteria optimization engine designed to help engineers and operations analysts reduce cost, time, and risk in routing and resource allocation. It accepts input models defining constraints, objective functions, and decision variables; it performs combinatorial search, heuristics, and optionally metaheuristics to explore feasible solutions.
The tool supports model ingestion, constraint handling, and objective definition, with optional multi-scenario comparisons and Pareto-front generation. It is valuable for network planning, logistics, and manufacturing optimization where trade-offs between cost, latency, energy, and risk must be quantified.
Unique value lies in reproducible workflows, flexible weighting of objectives, and easy export of results for downstream validation. Core features include scenario templates, sensitivity analysis, and transparent reporting of solution quality. Use cases include three-depot routing under capacity limits, warehouse-to-customer assignment, and line-balancing with time windows.
Advanced users can tailor objective forms, apply MILP backends for small subproblems, and share templates via GitHub-style collaboration to improve benchmarks and templates. This tool is designed for practitioners who need repeatable results and straightforward integration with data pipelines.