Category Archives: Scheduling and Resource Allocation

Consuming Optimization models for Operational Decisions

During DecisionCAMP-2020, we had several presentations devoted to incorporation of Optimization Engines in Business Decision Models: 1) Developing Decision Optimization Microservices for Real-World Decision-Making Applications by Jacob Feldman; 2)  cDMN: Combining DMN with Constraint Reasoning by a KU Leuven’s team.

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Gurobi Optimization Application Demos

Gurobi, a provider of one of the most powerful mathematical optimization solvers,  announced new Optimization Application Demos. Each demo is a proof-of-concept of an application that addresses a challenging and high-value problem.  In particular, it contains another solution for our … Continue reading

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The math problem that could bring the world to a halt

Dynamic resource allocation problems arise from a range of different real-world scenarios and each one has its own specific issues. “Dynamic resource allocation problems deal with changing inputs and environments, which are highly dynamic and difficult to estimate and predict, … Continue reading

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Java Solver: Modeling and Solving Decision Optimization Problems

Dr. Jacob Feldman announced availability of a new open source product “Java Solver” that provides a very simple API for modeling and solving optimization problems in Java. This is probably the simplest API for adding optimization components to business decisioning … Continue reading

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Modeling and Solving Scheduling Problems with CP Optimizer

The Resource-Constrained Project Scheduling Problem (RCPSP) is a classical problem among the myriad scheduling problems studied both in academia and in industry. Philippe Laborie, a principal scientist at IBM, describes how it can easily be modeled and efficiently solved using … Continue reading

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