Conference Paper

Maximizing Efficiency and Transparency in Batch Processing with Simulation-driven Predictive Decision Support

  • INOSIM Software GmbH / INOSIM Consulting GmbH
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The complexity of modern industrial batch plants makes it nearly impossible for plant personnel and production managers to predict their future behavior accurately over longer periods of time. This contribution presents the INOSIM Foresight system for predictive decision support that employs highly accurate dynamic material flow simulation to create a transparency and situational awareness that allows the plant operators and management to operate and plan more efficiently, productively, and safely, which can lead to savings in the millions. Intuitive predictive graphical dashboards support plant personnel in a variety of ways. For example, they provide concise guidance to improve production (e.g. by counteracting negative events before they occur and by predicting key KPIs days or even weeks ahead), and they enable the staff to create production, personnel, and in-process maintenance plans that are efficient and non-conservative. The system is currently being deployed at a new, innovative pharma batch plant of CSL Behring GmbH in Marburg, Germany.

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