In the last years, the gap between solution methods in literature and optimization running in production has increased. Agile development practices, DevOps and modern cloud-based infrastructure call for a revisit of how optimization software is developed. We review the state-of-the-art, propose a development framework that can be applied across different programming languages and modeling frameworks and test it with a relevant optimization use-case. The framework enables optimization experts to focus on solution methods while having the tools to deploy a scalable and reusable optimization application using the latest technologies and thus, increase the acceptance in industry.
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