Category Archives: Decision Optimization

Decision Optimization Technologies

Decision Modeling by Adam DeJans Jr.

Adam DeJans Jr. describes the technical approach he uses, regardless of whether the tool is for optimization, ML, simulation, or even a rules engine: Link

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Real-Time Orchestration

Ian Fletcher: Real-Time Orchestration Has Begun. And It’s Always On. Link

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Coming soon: “The Decision Factory”

“This book has the potential to do for automated decision-making in business that The Goal (Goldratt) did for supply chain management. The ease with which DeJans and Elam communicate these fundamentally new ideas for making decisions under uncertainty for complex … Continue reading

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MS OptiMind: From Problem Description to Solution

Microsoft Research has just released OptiMind, “a small language model designed to convert business problems described in natural language into the mathematical formulations needed by optimization software. Built on a 20-billion parameter model, OptiMind is compact by today’s standards yet … Continue reading

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“Hidden Gem” of Decision Optimization

Jacob Feldman wrote a post about the importance of the Solution Pools called “hidden gems” of optimization solvers. However, they usually require programming expertise, while at decision time, it’s subject matter experts, not programmers, who use already tested and deployed … Continue reading

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Solvers are like cars: focus on driving in the right direction, before you worry about speed

This is a quote from Geoffrey De Smet’s post, “What stops Operations Research from being widely adopted?” His answers:

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Prof Warren Powell: What is a decision?

Prof. W. Powell announced his newest webpage, “What is a decision?” covering these headings: 1)    What is a decision?2)    What types of decisions are there?3)    What does a decision do?4)    We make decisions to solve a problem, but what do we mean by a … Continue reading

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Multiple valid solutions to a business problem

John Brandon Elam wrote today: “You can actually tell the solver to generate multiple valid solutions to a problem, not just the single ‘best’ one. For me, as a Product Owner, that’s huge. Why? Because business stakeholders don’t live and … Continue reading

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Meta-Decision Support

Adam DeJans Jr.: “What if we treated the design of metrics, thresholds, and goals as decisions that need feedback loops and learning just like any other policy? That’s where I think the future lies. Meta-decision support: helping leaders choose what … Continue reading

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Explaining Solutions of Combinatorial Optimization

DecisionBrain is actively investigating the topic of explaining Combinatorial Optimization results. Drawing from principles in both Social Sciences and Artificial Intelligence, they highlighted two key types of explanations, contrastive and counterfactual explanations, and discussed their relevance in decision-support systems. Link

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