Design to Operate Manufacturing Systems
Simio simulation models can be extended into functional digital twins used to create detailed schedules of your production lines.
This process eliminates the challenges associated with manually defining the diverse variables needed to create optimized schedules.
Simio Digital Twin solution provides your enterprise with a powerful analytical tool to evaluate operational processes, optimize scheduling plans, and improve decision-making in real-time. Simio utilizes your enterprise data to develop an accurate virtual representation of your facility’s assets and processes. The simulation model of your facility then provides an optimized platform for developing solutions to complex real-world operational problems and directing the solutions implementation process.
The “Bottle Filling Line” scenario showcased above provides a hands-on demonstration of how you can leverage Simio’s data table design feature to design and operate digital twins of your factory floor. Simio Data Tables design to operate tools empowers you to utilize your facility’s enterprise data to easily build functional simulation and digital twin models from scratch.
Eliminate Bottlenecks with Designing and Operating Digital Twins Using Data Tables
Simio Data Tables are powerful tools you can use to bypass the conventional design processes associated with designing and operating simulation and digital twin models through data integration. Simio users no longer have to drag and drop objects and individually define object parameters for diverse use cases. By using data tables, you can use data from your ERPs, MES or IoT devices to intuitively create and define all objects in your simulation model.
Simio simulation models can be extended into functional digital twins used to create detailed schedules of your production lines. Simio accomplishes this task by integrating your real-time data into the already designed models using data tables. This process eliminates the challenges associated with manually defining the diverse variables needed to create optimized schedules.
The ability to continuously create and define objects using your real-time data introduces a design and operational flexibility conventional modeling processes can’t match. This design flexibility empowers you to quickly develop functional models for planning purposes, evaluation, and experimentation purposes. The bottle filling line demo highlights the agility and flexibility data tables provide. It also outlines the diverse use cases for Simio Digital Twin solution and how it can help your enterprise expand its digital transformation strategies to improve decision-making.