Category Archives: Decision Optimization

Decision Optimization Technologies

Building Decision Optimization Microservices

A new LinkedIn’s post “Building a complete cloud-based Decision Optimization Service” converts our April-2020 Challenge “Doctor Planning” to a complete decision optimization application called “Worker Scheduler“. It demonstrates that using modern cloud-based architecture and popular open-source tools such as JavaSolver, … Continue reading

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Speeding up decision-making under COVID-19 pressure

This is the title of today’s article by John Poppelaars: “Due to the lack of trustworthy information, hospitals need to make decisions on bed capacity, staffing, medicine and personal protective gear stock levels under high uncertainty. They need to make … Continue reading

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Decision Optimization during Covid-19

During this critical period, technology experts are trying to help as all other professionals. Alain Chabrier from IBM provides examples of how Decision Optimization can be used for optimal nurse scheduling in over-constrained hospital situations, transferring of patients between different … Continue reading

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Mathematical Optimization: Past, Present, and Future

In his 2-parts blog series, Gurobi Co-Founder Dr. Robert Bixby  takes us through the history of mathematical optimization from the 1940s until today. “Generally speaking, mathematical optimization has firmly established itself as a powerful problem-solving approach in today’s business world. … Continue reading

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Planning Analytics + Decision Optimization

Alain Chabrier from IBM discusses how Planning Analytics and Decision Optimization can complement and benefit from each other and introduces some ways to start integrating them. Link

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Christmas Challenge at Kaggle

“Santa has exciting news! For 100 days before Christmas, he opened up tours to his workshop. Because demand was so strong, and because Santa wanted to make things as fair as possible, he let each of the 5,000 families that … Continue reading

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New release of MiniZinc

MiniZinc is a free and open-source constraint modeling language. You can use MiniZinc to model constraint satisfaction and optimization problems in a high-level, solver-independent way, taking advantage of a large library of pre-defined constraints. Your model is then compiled into FlatZinc, a solver input language … Continue reading

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Success Stories of Decision Optimization

From lifesaving discoveries, to increased efficiencies, to billions in savings realized, Operations Research (OR) and Analytics are making significant impact every day by optimizing real-world decisions. See  success stories described at the INFORMS website and IBM.

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Chaining Machine Learning and Optimization Models

In this article Nathan Brixius describes three relationships between optimization and machine learning: Optimization as a means for doing machine learning Machine learning as a means for doing optimization Using the results of machine learning as input data for an … Continue reading

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Bringing Analytics to the Soccer Transfer Season

SAS posted an article that shares how they applied analytics to optimize players movements between clubs during the soccer transfer season. Every team needs to answer the ultimate question: “How should we allocate our transfer budget to maximize the benefit … Continue reading

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