A look at how to action a handful of best practices derived from experience and observation intended to improve decision model success.
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Model testing saves time and improves outcomes. But it’s not always possible to perform tests in the same environment as your production runs. That’s where a test bench comes in.
How do you test if you should use map data over Haversine for a vehicle routing problem? Let’s use batch experiments with Nextmv to find out!
Ready for your OR-Tools model to have real-world impact? Create an operational decision app in minutes using the Nextmv OR-Tools integration.
Do you model optimization problems with AMPL? The Nextmv AMPL integration accelerates how you run, test, and deploy AMPL decision models using DecisionOps tooling and workflows.
Do you solve decision science problems with Gurobi? The Nextmv Gurobi integration accelerates how you run, test, and deploy decision models running Gurobi with Nexmv’s DecisionOps platform.
Do you use Java and OR-Tools to model optimization problems? The Nextmv OR-Tools integration now supports Java – making it easier to operationalize Java-based models using our DecisionOps platform.
CI/CD is how you ship higher quality code to production faster. But with decision science models, there’s a twist. We’ll look at the role of decision quality, specific testing tooling, and problem drift on CI/CD for decision science models.
How do the routes look? Are they clustered? Are there any stops outside the region? Answer these questions and more with an open source route plotting tool that allows for easy, customized styling.
Many awesome projects and people underpin the optimization world. We're making mvs to surface more open source model code for real-world impact and better support individual decision modelers.
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See the real-world impacts of a candidate model with a switchback test that randomly assigns units of production runs to each model. Start a switchback test, analyze the results, and promote a new model to production all in the Nextmv console.
Last year, we focused on accelerating deployment and testing for decision models. 2024 looks to focus on operating and monitoring models with more platform integrations and greater visibility and control across your development lifecycle.
Solving a workforce scheduling problem? Not sure where to start? We walk through the basics and cover what you need to know about optimizing and automating shift scheduling.
