In this session, we will look at how data tables can be implemented in your model to drive the creation and behavior of your entities, workers, and machinery. We will look at how to generate objects through data, how to drive entity routes, requirements, and decisions, and how data tables can be used to run experiments and create different possible scenarios.
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Chiara a Solutions Engineer at Simio. She has worked part-time for Simio since January of 2022, and prior to that worked with Simio Software during an internship the summer of 2021. Chiara graduated in 2022 with a B.A. in Mathematics and Statistics with a double minor in Physics and Computer Science from Hamilton College. She primarily focused on applied mathematics during her education at Hamilton, studying various machine learning algorithms both from a statistics perspective as well as implementing them using R, Python, and C++. Other than Simio, her hobbies include running, golfing, and trying new recipes in the kitchen.
Are you and your technical team looking for ways to enhance how you tackle complex designs and operational tasks using Simio? If yes, then we are excited to inform you that application-specific help is on the way! The Simio Solution Series consists of timely tips, techniques, and answers to all your technical questions concerning simulation and digital twin modeling using Simio Software. The series of interactive webinars consist of professional Simio Software users demonstrating how our best practices empower you to successfully accomplish technical design to operate activities. The series of live webinars will be interactive and members of the audience will have the opportunity to ask and receive answers to their questions. You are cordially invited to participate and receive answers to the practical challenges your team may currently be facing.
If you are interested in submitting a topic, email info@simio.com.
