Hybrid Simulation Optimisation Consultant in Greece to bridge AnyLogic simulations with Java-based software engineering and optimisation methods for a modular framework in a global aluminium manufacturer. Satori Analytics is seeking a hands-on specialist to connect AnyLogic models with production databases, APIs, and plant-data environments, translate operational questions into simulation and optimisation use cases, and drive the deployment from prototype to production support.
Hybrid Simulation Optimisation Consultant in Greece to bridge AnyLogic simulations with Java-based software engineering and optimisation methods for a modular framework in a global aluminium manufacturer. Satori Analytics is seeking a hands-on specialist to connect AnyLogic models with production databases, APIs, and plant-data environments, translate operational questions into simulation and optimisation use cases, and drive the deployment from prototype to production support.
Connect the framework: Integrate a modular simulation optimisation framework with production AnyLogic models, databases, APIs, and plant-data environments. Turn questions into use cases: Translate scheduling, resource allocation, operating parameters, energy, logistics, and throughput into simulation and optimisation use cases. Build in Java: Develop and maintain Java-based components that execute scenarios, marshal inputs, parse outputs, and enable reliable optimisation runs. Make results credible: Define data contracts and KPIs; ensure reproducibility and usability of recommendations by operational stakeholders. Optimise smartly: Apply appropriate optimisation approaches for real-valued, scheduling, selection, and multi-objective problems; design efficient experiments for long-running simulations. Prove the value: Validate recommendations against live models, quantify operational benefits, and support transition from prototype to repeatable processes. Operationalise it: Contribute to dashboards, recurring study scheduling, workflow integration, technical documentation, and knowledge transfer. Coll
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Connect the framework: Integrate a modular simulation optimisation framework with production AnyLogic models, databases, APIs, and plant-data environments. Turn questions into use cases: Translate scheduling, resource allocation, operating parameters, energy, logistics, and throughput into simulation and optimisation use cases. Build in Java: Develop and maintain Java-based components that execute scenarios, marshal inputs, parse outputs, and enable reliable optimisation runs. Make results credible: Define data contracts and KPIs; ensure reproducibility and usability of recommendations by operational stakeholders. Optimise smartly: Apply appropriate optimisation approaches for real-valued, scheduling, selection, and multi-objective problems; design efficient experiments for long-running simulations. Prove the value: Validate recommendations against live models, quantify operational benefits, and support transition from prototype to repeatable processes. Operationalise it: Contribute to dashboards, recurring study scheduling, workflow integration, technical documentation, and knowledge transfer. Coll
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