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Take better decisions
Flowty is a prescriptive analytics platform based on column generation and resource-constrained shortest-path subproblems.
Use Flowty to solve complex tasks in planning & scheduling, routing, supply chain & network optimization.
The Flowty Solver are best-in-class algorithms designed to solve network optimisation problems.
The Flowty Solver takes input from a Flowty Model to compute optimal outputs.
A Flowty Model defines input for the Solver by a business problem expressed in mathematical notation as decision variables, objective function, constraints and graph representations.
Plug a Flowty Model into the Flowty Solver to use the cutting-edge algorithms.
Build yourself
If your team has the skills and experience to design and implement the mathematical notations in the Flowty Models, you can start taking advantage of the Solver immediately. We provide a thorough onboarding, making sure you get a flying start.
Outsource to Flowty
If you do not have mathematical optimisation expertise available, that is not a problem. Flowty has a team of experts who offer design, implementation, monitoring & optimisation services.
Simon Spoorendonk, M.Sc. computer science, Ph.D.
Simon is internationally recognised for his results in mathematical optimisation of network problems via his research at DIKU and DTU. Flowty is founded on these results. Simon has founded and exited several AI businesses and is one of three co-founders of Flowty.
Bjørn Petersen, M.Sc. computer science, Ph.D.
Bjørn is internationally recognised for his results in mathematical optimisation of network problems via his research at DIKU and DTU, awarded the best PhD—dissertation in Europe within logistics. Bjørn has 11+ years of experience optimising equipment and personnel resource planning within the aircraft industry. Bjørn is one of three co-founders of Flowty.
This is the question of optimizing when, where, how and who, often related to the planning tasks with limited resources.
Examples are workforce planning, project planning, and task scheduling.
Routing problems are natural network optimization problems. In logistics, one is often challenged to find the least cost, feasible path for an entire fleet. This may involve multi-modal transportation like truck, air, rail, ship, drone, etc.
Supply chain optimization problems, also known as network flow problems, are decisions on how to optimize the throughput of your supply chain to maximize revenue. An extension is the network design version that additionally determines the topology of the network. The application ranges from optimization of logistics networks to layout optimization of telecom networks or wind farms.
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