Videos

How to ship better plans: Decision parameter testing and tuning in practice

How confident are you in your decision model parameters? How optimized are your decision model's parameters? Learn how to systematically sweep and test and auto-select the best result per request.

Combining machine learning (ML) and operations research (OR) through horizontal computing

In the on-demand logistics space, ML and OR are colliding more frequently with practitioners generating demand forecasts that feed into shift scheduling models that feed into vehicle routing models. How can we benefit from their combined value more often?

Vehicle activation penalties to encourage vehicle efficiency (vehicle routing, VRP)

Learn how to use vehicle activation penalties to encourage vehicle efficiency. This is sometimes known as prioritizing backhaul when going back to a depot.

Multiple pickups before a dropoff for vehicle routing problem (VRP)

Learn how to configure your vehicle routing problem (VRP) to have multiple pickups precede a dropoff. In this example, learn how to set two pickups at two different locations precede a dropoff stop for a pickup and delivery problem.

Model continuous depot visits for vehicle routing problem (VRP)

Learn how to model continuous moves for a vehicle going back and forth from a depot.

OR-Tools, VROOM & Nextplot: Open source vehicle routing and visualization

Analyzing solutions and updating models can be tricky when you’re using new or multiple modeling tools and solvers. In this techtalk, we’ll demo Nextplot with two sample VRP apps to visualize model input, output, and more.

Optimization modeling with AMPL, Streamlit, and Nextmv: A stochastic facility location example

Create robust and interactive decision apps with AMPL as the optimization layer, Nextmv as the DecisionOps layer, and Streamlit as the UI and visualization layer. Learn how with a facility location example.

Link and test logistics models for demand forecasting, shift scheduling, and vehicle routing

Follow this step-by-step tutorial to go from a forecasted demand to optimized routes using OR-Tools, HiGHS, and Nextmv.

Getting started with DecisionOps for decision science models using Gurobi

Learn how to accelerate development of decision models that use Gurobi with tools for historical and online testing, run history, model management, and model collaboration.

Operationalizing Java-based OR-Tools decision models

Learn how to create a decision service with your Java OR-Tools model using Nextmv. Deploy an existing model or accelerate the development of a new Java model with testing, CI/CD, and more.

Nextmv Gurobi integration speedrun demo

See how the Nextmv Gurobi integration works in the Nextmv platform. With a few commands, you can apply DecisionOps to your decision modeling workflow to build, test, and deploy faster.

Comparing decision models in operational environments with switchback testing

When you’re ready to have a candidate model make true operational decisions, it’s time for switchback testing. Kick off an experiment and analyze how your new decision model measures up to your current model in production.

An introduction to Nextplot for open source plotting with JSON

Marius shares the origin story of Nextplot, explains how it's built, and demonstrates how to use it for plotting points and routes.