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The Simio Discrete Event Simulation Platform

Deliver the solution you need no matter the challenge — solve complex operational problems with Digital Twin simulation powered by Simio

Simulation Pioneers

The development team behind Simio introduced their first commercially available Discrete Event Simulation product over 46 years ago. For five decades, this team has remained at the forefront of innovation, continuously advancing the science and art of Discrete Event Simulation. In 2009, Simio released a comprehensive, agile simulation platform that represents an evolutionary fourth-generation design — built from the ground up to be fully object-oriented, data-generated, data-driven, and highly adaptive — critical innovations for overcoming hurdles that hampered previous generations. Fast-forward to today, the Simio development team continues to build on this original architecture, advancing Simio’s capabilities. Time-tested and proven, the Simio Discrete Event Simulation Platform is fast, scalable, adaptive, and adept at fully utilizing enterprise data while seamlessly integrating with operational environments. Simio is taught in hundreds of universities, trusted by thousands of users, and deployed across a broad range of industries worldwide, including manufacturing, warehousing, logistics, supply chain, healthcare, mining, energy, transportation, foodservice, and consumer services.

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The Simio Solution

Simio has developed an agile platform specifically designed to meet the demands of creating Intelligent Adaptive Process Digital Twin models that precisely replicate the real-world behavior of operational processes and integrate seamlessly with enterprise data and systems. Built on our industry-leading Discrete Event Simulation technology, the Simio platform is engineered to support Industry 4.0 digital transformation journeys. From a robust environment for designing, experimenting, analyzing, and optimizing simulation models to enhance operational efficiency and decision support, to the deployment of tightly integrated Intelligent Adaptive Process Digital Twins that enable fully autonomous lights-out operations, Simio equips and guides users through a seamless journey across the entire design-to-operate continuum.

Intelligent

Combining Discrete Event Simulation and AI creates a powerful synergy, resulting in Simio Process Digital Twins with unparalleled intelligence, capable of generating highly optimized solutions to complex operational problems with lightning-fast efficiency.

Adaptive

Simio Process Digital Twins have the ability to automatically adapt to changes in enterprise data such as process-related resources, materials, properties and attributes, product routings, network changes, bill of materials, labor requirements and schedules, maintenance schedules, and product mix.

Process

Business processes across a wide range of industries can be modeled with a Simio Process Digital Twin, including detailed manufacturing operations within single facilities and across multiple sites, warehouse operations, and complex end-to-end supply chains.

Digital Twin

Simio Process Digital Twins are object-oriented, data-generated, and data-driven Discrete Event Simulation models that accurately replicate the physical behavior of operational processes for systems of any size and complexity. Simio Process Digital Twins enable users to design, optimize, predict, and prescribe current and future system performance.

 

Strategic Application Use Cases

Simio state-of-the-art Discrete Event Simulation technology is used to create industry leading Intelligent Adaptive Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
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Value of Process Digital Twins

Simulate & Optimize

A Process Digital Twin offers a low-risk method to simulate, analyze, and optimize business transformation and process improvement proposals, such as CapEx initiatives, process changes (e.g., automation, layout adjustments, labor schedules), all aimed at enhancing efficiency and achieving the expected ROI.

20%
IMPROVEMENT IN RESOURCE EFFICIENCY
15%
REDUCTION IN WORK IN PROGRESS (WIP)

Decision Support

Process Digital Twins empower and enhance decision support by utilizing enterprise data from sources like ERP, MES, SCP, and IoT to predict and prescribe operational behavior and performance in complex environments such as factories, warehouses, and supply chains.

25%
REDUCTION IN SYNCHRONIZATION DELAYS
12%
IMPROVEMENT IN SERVICE LEVELS

Debottlenecking

Skilled labor shortages, SKU proliferation, and market demand fluctuations are among the factors that put pressure on manufacturing, warehousing, and supply chains, causing bottlenecks in critical operations. Process Digital Twins are a powerful resource for understanding and eliminating these bottlenecks.

25%
REDUCTION IN MANUFACTURING LEAD TIMES
16%
DECREASE IN COST OF PRODUCTION

Planning & Scheduling

Process Digital Twins accurately replicate the physical behavior of processes, resulting in actionable schedules that include all resource and material requirements, and respect both the physical constraints of the system and the standard operating rules and detailed execution timelines.

20%
INCREASE IN THROUGHPUT
15%
REDUCTION IN INVENTORY

Third-Party Synchronization

Process Digital Twin models can incorporate all third-party service providers and value-added processes, including OEM schedules, to ensure the synchronization of all time-critical tasks and services, which helps avoid synchronization delays, overtime, and expediting to meet the global execution schedule and satisfy business KPIs.

15%
REDUCTION IN SERVICE COST
12%
INCREASE IN ON-TIME DELIVERY (OTD)

Stakeholder Management

Process Digital Twins make detailed Gantt charts and interactive dashboards available to all stakeholders, both internal and external to the business, by publishing the results on a centralized cloud platform. This ensures that all stakeholders are updated and aligned to synchronize execution management and decision support.

12%
REDUCTION IN LABOR COST
8%
REDUCTION IN WASTE
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Key Simio Platform Features

Simio’s architecture was designed from the ground up as an object-oriented, no-coding-required, state-of-the-art Discrete Event Simulation platform with native support for both simulation and scheduling applications. Simio pioneered this comprehensive platform for developing Intelligent Adaptive Process Digital Twins years before “Digital Twin” became a buzzword in the industry. Here are some key features that make Simio a best-in-class solution to help you solve operational challenges in your business.

Versatile

Simio Process Digital Twins can be used for both greenfield and brownfield applications, to design new or improve existing operational processes. They can simulate and analyze behavior occurring in the present or at any time in the future, and help understand a single mission-critical process or a complex network of processes that occur at a single site or across multiple sites.

Data-Generated

Simio provides a traditional point-and-click user interface alongside an intuitive data-generated, data-driven approach for developing and executing Process Digital Twin models. A data-driven approach accelerates model development for complex scenarios, facilitates model reuse, and supports the scaling of models to new sites, multi-site applications, and end-to-end supply chains.

Object-Oriented

Build comprehensive Process Digital Twin models without coding using intelligent out-of-the-box object libraries, and easily expand these libraries through subclassing and creating custom user- and industry-specific objects. Any Simio model can be used as an object in another Simio model, facilitating reuse and hierarchical modeling.

Templates

Simio provides a library of application-specific templates containing predefined objects, process logic, and data schemas to jump-start Process Digital Twin model development for complex operational processes. Each template is customizable to fit any user-specific requirements.

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AI-Enabled

Simio supports training, testing, and embedding Deep Neural Network agents into Process Digital Twin models, along with bidirectional interaction with Machine Learning algorithms to enhance model intelligence, optimize results, and reduce execution run times. Simio also supports the import and direct use of Machine Learning regression models in the ONNX format.

Scalable Deployments

Simio offers a range of deployment options, including cloud-based solutions, to broaden the reach and utility of Process Digital Twins for stakeholders across the enterprise — both internal and external — for applications such as Simulation, Planning & Scheduling, and Shop Floor Orchestration.

 

 

Integrations

Simio’s architecture is built on an extensive integration framework that includes bidirectional database connectors, support for Excel and CSV, Web APIs for cloud, enterprise system, and IoT device integrations, and support for C#, Python, and SQL.

3D Visualization

Simio Process Digital Twin models are true digital twins in both operational accuracy and visual detail. With 3D, GIS, and VR capabilities, users have powerful visualization features at their disposal, in addition to extensive data reporting, Gantt charts, and dashboards to validate model behavior and showcase operational performance.

User Feedback

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“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.”

Jarrod Thome

Manager of Process Design & Simulation Modeling

McDonald’s

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“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.”

Jonathan Miller

Industrial Engineer & Simulation Modeler

Alcoa

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“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.”

J. Spencer Williams

Founder, President & CEO

Retirement Clearinghouse

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“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.”

Thomas Lewis

Associate Director – Business Insight & Analytics

Bristol Myers Squibb

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“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.”

José Vilar

Project Manager

Nissan Europe

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“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.”

Morgan Mistysyn

Operational Excellence Manager

Penske

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“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.”

Mike Lazzaroni

Senior Planning Analyst

Vancouver International Airport

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

Carlos Lares

Senior Business Unit Ops Manager

Skyworks Solutions

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“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.”

Wim de Villiers

Senior Data Scientist, QuantumBlack AI by McKinsey

McKinsey & Company

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“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!”

Anna Palmerius

Project Engineer

Vantage Airport Group

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

John T. Carson

Staff Operations Engineer

Lockheed Martin

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“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.”

Louis Roy

Senior Airport Planner

AECOM

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“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.”

Mara Veronez

Project Engineer

Cosan Combustiveis e Lubrificantes S.A.

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“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.”

Benjamin Braverman

Principle Product Manager, QuantumBlack AI by McKinsey

McKinsey & Company

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“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.”

Pascal Poudenx

Airport Process Engineer

Vantage Airport Group

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“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.”

Hans-Georg Konert

Managing Director

Konekta Consulting GmbH

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Broad Industry Adoption

From commercial businesses and government agencies to academic institutions, across every industry and business size, organizations grappling with complex operational challenges can harness the versatile capabilities of Simio’s Discrete Event Simulation software. Simio’s comprehensive application workstreams span Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shop Floor Orchestration, and Design-to-Operate Process Management. Industries using Simio’s best-in-class simulation software include:

Health Care Equipment is an example of an industry using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Healthcare Equipment
Healthcare Facilities is an example of an industry using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Healthcare Facilities
Heavy Machinery is an example of an industry using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Heavy Machinery
Industrial Automation is an example of an industry using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Industrial Automation
Maritime Ports and Vessels are examples of industries using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Maritime Ports & Vessels
Metals Production and Metals Fabrication are examples of industries using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Metals Production & Fabrication
Mining is an example of an industry using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Mining
Oil & Gas are examples of industries using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Oil & Gas
Pharmaceutical & Biopharmaceutical are examples of industries using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Pharmaceuticals
Rail Transportation is an example of an industry using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Rail Transport
Restaurants is an example of an industry using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Restaurants
Retail is an example of an industry using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Retail
Semiconductor is an example of an industry using Simio Discrete Event Simulation technology to develop Process Digital Twins for applications that include Simulation & Analysis, Process Design & Optimization, Planning & Scheduling, Shopfloor Orchestration, and Design-to-Operate Process Management.
Semiconductor