Simio Discrete Event Simulation

“Our customers want both choice and speed. By understanding where our customers’ expectations are going, and by leveraging rapid modeling with Simio, we are prepared to tackle this challenge.”

“The Simio Digital Twin is now used 24/7 to generate plans that are accessible to all. These plans are used in daily management meetings to establish the strategy. The Simio Digital Twin model has now been run over 65,000 times to generate plans. It is equivalent to running the model every hour for over 7 years.”

“Frankly, I’ve been stunned that every time we came up with a new question or level of complexity that we needed to account for in the simulation, the Simio software answered the bell and responded to our needs.”

“Across our sites we have multiple Simio users of varying skill level, and we have been able to successfully hand-off models to local teams with guided instructions for how to make conceptual level model changes through data-driven inputs. We view Simio’s data-driven and data-generated model configuration as a key enabler for Digital Twin development.”

“We find that the use of objects to quickly build a working model of a plant layout very appropriate. Moreover, the possibility to add additional logic in the case of movement and synchronization of different lines through a set of instructions is easy to implement and expanded our capability to solve more complex problems.”

“Simio cannot be replaced or trumped for the power and ability that you gain by using it. The information gleaned from a model like this is truly unmatched. Simio is an incredibly powerful tool that helps make Penske better every day.”

“By using the forward-looking benefits that Simio simulation-based performance analytics offer, we saved tens of millions of dollars in unnecessary investments in building expansion projects.”

“We modeled the prototype assembly process in Simio and adjusted resources to reduce the lead times from 3 weeks to less than 1 week.”

“Across all [production] lines and all tested schedules, we were able to demonstrate an 8% throughput lift. This lift was achieved using a black box optimizer developed by McKinsey and a Simio Digital Twin model.”

“I like how fast Simio is when I run experiments because it uses all the [processing] cores on my computer. ‘Boom’ and it is done!”

“What gives a tool value is flexibility… Simio provides me greater value through flexibility with the addition of 3D animation.”

“The ability to test the planned facilities under various conditions enabled us to understand the different tradeoffs and deliver designs well suited to our customers’ needs, which can be expanded as traffic increases.”

“The model proved to be very adherent to the real dynamics of the operations of CTC’s cane sugar internal movement in the plant. It also allows you to view points of queuing and resources with high and low occupancy.”

“We have built dozens of scalable Digital Twins for our clients with 99% prediction accuracy by leveraging commercial solutions such as Simio as well as building custom solutions in Python.”

“The biggest quality of the model was in the realm of visualization. Simio made it easy for those involved to understand the current situation and the projections for future growth. The structure also enabled people to understand how things worked in the background.”

“In my view, Simio allows detailed analysis and individual ‘links’ as well as an aggregated end-to-end analysis and optimization of complex supply chains of the Bundeswehr. Simio adheres particularly well to the supply chain approach.”