2024 Simio Sync

Despite spending enormous sums on technology and improvement methods, most businesses are under a state of siege. The inability to effectively adapt to an increasingly more volatile, uncertain, complex, and ambiguous (“VUCA”) set of circumstances is resulting in unprecedented rates of failure across organizations of all shapes and sizes. Worse yet, the necessary component to break the cycle is being distorted by antiquated models, methods, rules, and tools held over from decades past. Industry is stuck in a rut, and that rut is getting deeper and deeper.

Many companies are searching for an effective framework and process to drive their ability to adapt and evolve their organizations in this new normal. Carol Ptak and Chad Smith, Cofounders of the Demand Driven Institute, will share a new management framework rooted in science, mathematics, economics and most importantly, common sense. It enables an unprecedented level of visibility across resources, products, levels, and time ranges to quickly and effectively produce the relevant information that companies are desperately seeking and is proving to an avenue for surviving and thriving in the VUCA world. That new framework is called the Demand Driven Adaptive Enterprise (DDAE) model.

The DDAE model will not be embraced by everyone, as it challenges conventional practice and systems. Unfortunately, many of those people and organizations are living on borrowed time. So, is your organization ready for something new?

Digital Twins are making headlines everywhere nowadays. But how does an Intelligent Adaptive Process Digital Twin differ from a traditional Digital Twin? Is it simply another flashy marketing campaign by Simio? Definitely not! This presentation will provide a comprehensive introduction to what we consider the next-generation application of simulation-based Digital Twins. Join me to discover how leveraging the extensive capabilities of Simio’s Discrete Event Simulation platform is the key to unlocking the full potential of a Digital Twin deployment across a wide range of stakeholders throughout the enterprise.

We develop and integrate worldclass technology and processes to help clients optimize operations and physical products with advanced analytics and simulation. Last year, we partnered with Simio to build a discrete event simulation of an automotive client’s manufacturing processes (dozens of SKUs across multiple lines).

While the simulation itself generated immediate value by enabling clients to evaluate “what-if” scenarios and improve operational heuristics, we wished to improve throughput further by building an end-to-end pipeline for automated production scheduling optimization. By integrating a custom genetical algorithm, Simio simulation, and the client’s real-time production systems, we were able to improve average throughput by over 6% through improved production sequencing.

Simio works well with dynamic detailed data; but what do you do if you don’t have that data available for long-term planning? We’ll be going over how we created a long-term planning model to address questions that our short-term model couldn’t answer. It helps us determine possible needs in the future for staffing and equipment and gives a zoomed-out look at our manufacturing areas. Dive into how we are stretching the limits of Simio; changing the way that the model typically shows results, takes inputs, and utilizes provided data.

Simio Release 17 is scheduled to be available in late March 2024. Join me for an overview of the top enhancements in this release.

If you’re considering deploying a digital twin, this presentation is designed for you. Drawing from years of experience in developing complex simulation models and comprehensive digital twin implementations, the Simio team has gained invaluable insights into the key elements necessary for executing a successful digital twin development process. Whether the work of building the digital twin will be done in-house or outsourced, the considerations and actions remain the same. Join me for a discussion highlighting some of the most important topics to plan for and manage to ensure the success of your digital twin project.

Organizations have access to increasingly large quantities of data, and stakeholders are increasingly savvy at using it. We see two contradictory paradigms fighting because of this. On one hand, enterprises typically have multiple teams trying to govern, organize, and document data. Simultaneously, data-driven operational users are applying infinite potential manipulations and adjustments to refine their metrics, alerts, and operational dashboards. The end result– data teams and power users are poorly aligned, causing data projects to move slowly and in the wrong direction. Meanwhile, questions still end up routed to someone who tried to retire two years ago but is being kept on the payroll for their tribal knowledge. So how can we fix this? With a Data Mesh.

A Data Mesh is not a software solution or piece of technology. It is an organizational approach to enable more efficient access and sustainment of data. It is about shifting the way businesses organize their teams and their data architecture. It encourages organizations to treat data as a product, not a byproduct; and to decentralize data ownership and data architecture. From this presentation you will learn more about why a Data Mesh can be so valuable, how enterprises can shift towards this mentality, and how to understand and mitigate its downsides and risks.

Penske Truck Leasing is one of the industry’s largest transportation services providers, with a fleet of nearly 440,000 vehicles that are serviced from nearly 1,000 full-service maintenance locations in the United States, Canada and Mexico.

A Penske facility normally has thousands of vehicles coming in and out of that location for repairs and general maintenance needs on an annual basis. To function efficiently, our technicians require the right workstation allocation, parking, tooling and equipment, etc. Our modeling work provides tools for our local leadership teams to manage the growth in our local fleets (our sales representatives are hard at work each day increasing the number of truck rentals, multi-year truck leases, and contracts for Penske to provide maintenance on our customer-owned vehicles). The simulations provide key data for our managers to make better-informed decisions around the volume and timing of capacity-related constraints.

This session is a hands-on modeling workshop for new Simio users and existing users who want to expand their knowledge of fundamental simulation concepts / best practices. We will be demonstrating fundamental Simio modeling and experimentation techniques during the process of building a simulation model from scratch. This is the second installment of the Fundamentals of Simio Modeling Series.

The first installment of this series was held during the Simio Solution Series event on February 14th. Here is a link to that session: Fundamentals of Simio – Basic Features and How to use Simio for New Users | Simio. It is not required to watch the first installment of this series before attending this session, but it would be helpful.