Gurobi Optimizer vs Manhattan Active Supply Chain

Gurobi Optimizer converts mathematical models of business problems into optimal solutions. It handles linear, mixed integer, quadratic, combinatorial, nonlinear, conic, and multi-objective problems. For non-convex quadratic problems, its global optimization can prove a global optimum rather than only a local one. Solver capabilities include parallel and distributed optimization, presolve, cutting planes, heuristics, and symmetry handling. For model review, it provides sensitivity analysis, infeasibility analysis, feasibility relaxation, and solution quality attributes. APIs are available for C, C++, Java, .NET, Python, MATLAB, and R, enabling optimization models to be built into applications, services, and data pipelines. Deployment options include local, server, cloud, and container environments. Instant Cloud runs Gurobi on AWS or Azure without requiring users to deploy or maintain infrastructure. The included gurobipy license is for non-production use and limits models to 2,000 variables and 2,000 linear constraints, or 200 variables for models with quadratic terms. Free options also include a full-featured 30-day commercial evaluation license and an academic license for eligible institutions.

Manhattan Active Supply Chain has no write-up on Specifiction yet; its figures are above.