Developing Virtual Factory Models for the Smart Factory of the Future

Simio Hands-on Training & Networking
Munich, Germany
September 3-7, 2018

Simio Standard and Advanced Training

Registration $2500 for commercial users, $1250 for academic users

Simio differs from traditional simulation modeling and scheduling tools in that it is designed from the ground up to execute as a live component of a factory execution system. Simio supports complex in-memory relational data, connections to real time data sources, complex dynamic decision rules, detailed resource, material, and task logging, along with customizable Gantts, reports, and dashboards for communicating scheduling results. Click here to learn more about Simio.

This five-day course first provides a fast start to using Simio to effectively solve real system design problems, then leverages that knowledge into building a continuous improvement platform that can synchronize your existing systems and drive your day to day production schedule. Attendees should bring your own laptops so you can participate in the hands-on workshops. Pre-registered attendees will be provided with a printed course workbook, and a copy of the book Deliver on Your Promise: How Simulation-based Scheduling Will Change Your Business, four valuable e-books (over 1000 pages total), and a free copy of Simio Personal Edition.

What will be covered: We start with an overview of simulation technology including the essential role it plays in successful Industry 4.0/Smart Factory applications. The first day includes building a model to solve a small problem while using that exercise to explore Simio features and capabilities. Starting on day 2 we use a series of workshops based on the Simio Standard Library to solve a variety of problems -- exploring the ease-of-use and power of intelligent objects. We proceed to discover how objects can interact to provide improved model accuracy and flexibility and how to create and modify objects graphically. Learn about innovations in data representation and integration with Excel, databases and external systems like Wonderware MES.

Significant time will be spent on extending model logic with add-on processes and building object definitions. Includes an overview of innovative ways to evaluate scenarios, interpret simulation results and optimize your system and demonstrates the many built-in tools and techniques to ensure that your model is verified and validated and providing reliable results. Day 4 and 5 will explore more about how Simio can be used to create a Digital Twin of your system, as well as providing introductory and intermediate scheduling training. Day 5 will end with presentations of some case studies and general topics. Most topics are illustrated with numerous hands-on workshops that let you instantly put your new knowledge into practical application. Success tips based on decades of experience are interspersed liberally throughout the course. Networking opportunities will be provided to see how like-minded professionals are solving problems like yours.

Who should attend: This course is appropriate for engineers and process analysts looking to implement or upgrade their simulation capability, for engineering or business educators looking to introduce state of art technology into their simulation instruction, for managers and others who would like to better understand the technology, and for anyone who wants to explore how Simio can help fill in the missing pieces in an evolving Industry 4.0/Smart Factory implementation.

Educators: To provide the best possible education, students should be educated in a technology and a tool that will provide the greatest benefits both now and after they graduate. There are many compelling reasons why over 1000 leading universities worldwide have selected Simio. Click here to learn how Simio Academic Grants can enable you to teach the state of the art in simulation and scheduling software.



David Sturrock, Vice-President of Operations

David Sturrock is on the University of Pittsburgh Field Faculty and is Vice President of Operations at Simio LLC. David is responsible for development, support, and engineering staff for Simio simulation and scheduling products. He has over 35 years of experience working with customers applying simulation and scheduling in a wide variety of applications. He is coauthor of several simulation textbooks and is a frequent trainer and conference presenter.