Case Studies


Heat Exchanger Networks

Conventional optimisation requires three problems to be formulated and solved to minimise the cost of designing a heat exchanger network. With the Engine, the formulation of a single NLP can be solved.

Investment resized

Portfolio Optimisation

Octeract Engine found the best combination of assets by solving a multi-objective function, considering discontinuous constraints while building cardinality constraints automatically.

Bidding Optimisation Resized

Bidding Optimisation

What is the best combination of item amounts and vendors to minimise the total cost of purchasing a required item, in bulk? The Engine manages to give an answer to this problem.

Case studies offer practical insight into the benefit of global optimisation. In a world where problems are non-linear, finding the best solution is complex. These case studies showcase how global optimisation can help.

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