Simio APS

Simio is a discrete-event simulation platform built around what it calls Process Digital Twins, virtual models of operational processes that can incorporate real-time data. The platform includes an Advanced Planning & Scheduling (APS) module for constraint-based scheduling and real-time rescheduling, a DDMRP module for demand-driven inventory buffer management, and a core simulation engine with object-oriented, data-generated modeling. Additional capabilities include 3D, GIS, and VR visualization, Gantt chart and dashboard reporting, and support for embedding Deep Neural Network agents or importing ONNX machine learning models.

The vendor's site describes use across manufacturing, warehousing, logistics, supply chain, healthcare, mining, energy, and other sectors, without stating a specific company size the product targets. Deployment is described only in general terms, including mention of "cloud-based solutions" among a range of deployment options, but the site does not clearly specify whether on-premise or hybrid installation is available for any given module. The platform supports integration with databases, Excel, CSV files, and IoT devices, and can be extended through C#, Python, and SQL, along with a user extension for NVIDIA Omniverse visualization.

The vendor's site gives no pricing figures, pricing tiers, or a clear request-a-quote process, so pricing model and starting cost cannot be determined from the material available. It also does not spell out how the APS, DDMRP, and core simulation modules are licensed relative to one another, or whether they can be purchased separately. Buyers evaluating the product would need to contact the vendor directly to clarify licensing, deployment specifics, and cost.