Best-Practices Modeling Labor

Details of the Free Simio Solution Series Online Event:

Recorded: June 30, 2022 - 11:00 AM ET (3:00 PM UTC)

Speaker: Drew Rose, Solutions Engineer at Simio

What to Expect:

Best-Practices Modeling Labor

This session will demonstrate how to make effective use of work schedules for a labor force within a manufacturing operation. Additional functionality will be covered related to the labor force demonstrating varying worker efficiency, task prioritization, and off-shift rules.

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About the Presenter

Drew is a solutions engineer at Simio. His experience with simulation dates to his time as an undergraduate student at Penn State University, where he received his BS in Industrial Engineering in 2020. While a student, he led a research project that applied the fundamentals of queuing theory to the flow of fans inside Beaver Stadium – Penn State’s collegiate football venue. Drew has a background in manufacturing and operations, having worked in various environments of discrete, batch, and continuous production of finished goods. Drew works closely with Simio customers to understand their processes and ensure project success through effective use of simulation.

Drew Rose

What Is The Simio Solutions Series?

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

Simio Solutions Series