2025 Simio Sync

Seegrid partnered with Simio to develop a flexible simulation template that supports collaborative use across their solution design team.

The template style model allows Seegrid to have flexibility and accuracy when proposing new solutions to their end customers, particularly for the most complex autonomous mobile robot workflows.

TMX Transform partnered with a Global Beverage Company to develop a strategic last mile network tool to help explore network changes with the goal of achieving the optimal balance between lead time and cost. The dynamic routing algorithm enabled quick “what-if” scenario testing and automatically configured sale center volume allocations and routes based on the active nodes and locations.

This presentation highlights Westinghouse Electric Company’s journey in deploying Simio simulation software to enhance nuclear fuel assembly manufacturing, starting from its Columbia facility and expanding to sites worldwide. By embracing digital twin technology, advanced planning and scheduling, and a clean-up of critical data sources, Westinghouse effectively transformed complex manufacturing processes into more manageable and efficient operations. Attendees will gain insight into the importance of accurate data, dedicated teams, and strategic planning in realizing simulation’s full potential for global enterprise applications.

A contractor-operated training provider must minimize training costs while achieving student graduation rates, particularly when dealing with unexpected circumstances that affect resource availability. Traditional spreadsheet-based resource planning methods lack the flexibility to respond to these changes, leading to potential misses in annual targets and increased costs. Using Simio software, Lockheed Martin has developed a discrete simulation solution called Traeser™ to optimize resource usage and support informed decision-making throughout the training program lifecycle.

Georgia Tech students partnered with Emory Healthcare for their capstone project to help their Family Medicine Clinic in Dunwoody understand what new policies and constraints could be applied to the residents and nurses in the facility to improve service times for patients and improve the quality of time patients spend in the clinic. Based on historic patient arrival times, they modeled visit requirements based on the resident’s experience and patient’s age and visit needs to experiment how different rooming and queuing policies, provider assignments, and order of appointments based on their length could improve patient satisfaction and reduce patients’ total time in the clinic.

Argon & Co partnered with a snack foods company to develop a dynamic scheduling tool in Simio to support production planning across multiple sites and increase operational efficiency. Originally created to generate optimal schedules for two sites, it was later expanded and used for scenario modelling of a greenfield site, informing site design and asset requirements, before being used as the scheduling tool once the new site became operational.

Dijitalis supported a global electronics manufacturer by simulating its planned AGV investment to optimize the fleet size and identify layout bottlenecks. The simulation enabled data-driven decisions, avoiding overinvestment and ensuring smooth material flow in a space-constrained environment.

LMAC Group partnered with an engineering company to develop a future state factory design to scale production of a proprietary product for a global export market. A Simio model was developed to simulate the complex assembly process and develop an optimal future state factory design through experimentation and scenario modelling to optimize throughput and production cost.

Simio’s soon-to-be-released, enhanced Python integration is poised to be a game-changer in the digital twin simulation industry—redefining how models are built, automated, and optimized. With brand-new functionality and expanded capabilities, Python scripting can now be performed directly within Simio and seamlessly integrated with Process Logic. This powerful update gives users greater flexibility, intelligence, and control—unlocking new possibilities for advanced modeling and automation.

Explore the latest and upcoming innovations in Simio—from the new Material Storage element and advanced Bill of Materials (BOM) capabilities to democratizing experimentation and scheduling through Simio PORTAL. Plus, get a preview of our upcoming NVIDIA Omniverse integration, set to elevate visualization to an entirely new level. Get a firsthand look at the technologies that will redefine how businesses design, plan, improve, and operate complex, dynamic systems.