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The acquisition extends manufacturing execution into simulation-driven planning and lifecycle decision support.
Aegis Software has completed the acquisition of Simio, a provider of digital twin simulation and advanced planning and scheduling (APS) software. The transaction brings together manufacturing execution and operations software with simulation-driven planning capabilities within a combined platform.
The acquisition is intended to strengthen the integration between manufacturing operations management and digital twin–based simulation, supporting improved visibility into historical, real-time, and future production scenarios. By combining execution data with simulation and planning models, the platform aims to support more informed operational and strategic decision-making across manufacturing environments.
Extending Manufacturing Operations with Simulation and APS
Simio has established a presence in simulation and APS through the use of digital twin technology to model complex manufacturing and operational workflows. Its software is used by industrial engineers to analyze system behavior, evaluate alternatives, and plan operations under varying constraints. Simio is also used in academic settings, with adoption across hundreds of higher education institutions to support hands-on training in simulation, digital twin, and planning technologies.
The combination of Aegis and Simio is intended to deliver:
Integrated execution and simulation, connecting MES data with digital twin models.
Advanced planning and scheduling capabilities, supporting scenario-based decision-making.
Improved operational visibility, spanning what has occurred, what is occurring, and what may occur.
Broader lifecycle coverage, from planning and engineering through shop-floor execution.
Supporting Scalable Manufacturing Intelligence
Aegis provides manufacturing execution and operations software across a range of discrete, process, and mixed manufacturing industries. By incorporating simulation and APS capabilities, the combined platform is positioned to address more complex manufacturing environments that require coordination across planning, execution, and continuous improvement activities.
Simio’s team will join the combined organization, contributing expertise in simulation, digital twin modeling, and advanced analytics. The acquisition reflects a broader trend toward integrating planning, simulation, and execution technologies to support more resilient and adaptive manufacturing operations.