List of Simio Customers
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Since 2010, our global team of researchers has been studying Simio customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Simio for Advanced Planning and Scheduling from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Simio for Advanced Planning and Scheduling include: Northrop Grumman, a United States based Aerospace and Defense organisation with 97000 employees and revenues of $41.03 billion, Penske Corporation, a United States based Automotive organisation with 50000 employees and revenues of $26.00 billion, Emory Healthcare, a United States based Education organisation with 24000 employees and revenues of $3.57 billion and many others.
Contact us if you need a completed and verified list of companies using Simio, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Simio customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Emory Healthcare | Education | 24000 | $3.6B | United States | Simio | Simio | Advanced Planning and Scheduling | 2024 | n/a | In 2024, Emory Healthcare's Dunwoody Family Medicine teaching clinic partnered with Georgia Tech and Simio to create a Simio digital twin of clinic patient flow. The Simio implementation was executed as an Advanced Planning and Scheduling engagement to model operational patient-flow dynamics within a U.S. teaching clinic, linking simulation and scheduling capabilities to clinic operational priorities. The deployment constructed a digital twin that modeled patient arrivals, queueing, treatment staging, and resource occupancy, leveraging Simio simulation and scheduling features to emulate appointment sequencing and provider availability. Configuration emphasized clinic-level operational scheduling and optimization, using scenario-based simulation to test scheduling rules, resource allocation, and appointment templates consistent with Advanced Planning and Scheduling functional workflows. Work was scoped to the Dunwoody Family Medicine teaching clinic, impacting clinical operations and graduate medical education workflows including resident training and supervision. The initiative focused on simulation-driven process change at the clinic level rather than enterprise integration, with models intended to inform operational scheduling adjustments and staffing patterns. The Simio digital twin identified bottlenecks and generated actionable improvements expected to reduce patient wait times and enhance resident education, providing operational scenarios for clinic leadership to adopt scheduling and workflow changes. | |
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Northrop Grumman | Aerospace and Defense | 97000 | $41.0B | United States | Simio | Simio | Advanced Planning and Scheduling | 2021 | n/a | In 2021 Northrop Grumman implemented Simio at its Space Park facility in the United States to support manufacturing and production planning workflows. The initiative used Simio within an Advanced Planning and Scheduling context to extend planning horizons and provide simulation-driven decision support for shop floor and program planners. The implementation developed both short-term digital twin models for detailed scheduling and a token-based long-term digital twin for scenario planning, enabling a five-year planning horizon. Simio models were configured to run orders of magnitude faster than prior runs, moving analysis from multi-hour executions to minute-level run times, and were applied to capacity and headcount forecasting for production planning. Operational coverage was focused on manufacturing and production planning at Space Park, with models representing production processes and resource constraints consistent with Advanced Planning and Scheduling practices. No named system integrations are described in the source, the implementation narrative centers on Simio model architecture and simulation workloads rather than explicit ERP or MES connections. From a governance and process perspective the deployment supported both short-cycle scheduling and longer term scenario evaluation, allowing planners to iterate scenario batches and compare capacity outcomes across planning horizons. The token-based long-term modeling approach provided a way to decouple detailed short-run sequencing from strategic resource planning while preserving traceability of assumptions in the simulation models. Reported outcomes include enabling a five-year planning horizon, substantially faster run times measured in minutes rather than hours, and improved capacity and headcount forecasting accuracy as described in the case study. The narrative underscores Simio as the simulation and modeling engine used by Northrop Grumman for Advanced Planning and Scheduling driven production planning at Space Park. | |
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Penske Corporation | Automotive | 50000 | $26.0B | United States | Simio | Simio | Advanced Planning and Scheduling | 2020 | n/a | In 2020 Penske Corporation deployed Simio for Advanced Planning and Scheduling at Penske Truck Leasing in the United States to build a facility simulation digital twin supporting a five year plan for 500 additional vehicles. The engagement explicitly targeted transportation and maintenance capacity planning, using Simio to model physical site capacity and growth trajectories against operational constraints. The implementation used Simio as a capacity planning and APS oriented digital twin, modeling parking inventory, service bay throughput, technician staffing levels, and ancillary support resources. The simulation captured time phasing across a five year horizon, enabling scenario-based evaluation of resource utilization, queuing at service bays, and the timing of capacity shortfalls under different fleet growth assumptions. Functional capabilities inferred from the case align with resource scheduling, throughput analysis, and constraint identification typical of Advanced Planning and Scheduling solutions. Operational scope was focused on Penske Truck Leasing locations in the United States, and the narrative indicates cross-functional use by fleet planners, maintenance operations, and facilities planners to inform timing of mitigation actions. Governance and rollout centered on iterative scenario runs to surface when parking, service bays, technician staffing, and support resources would become constraints, and to sequence recommended mitigation activities in relation to projected vehicle arrivals. The stated outcome from the Simio implementation was identification of timing for emerging constraints and which mitigation actions to time, supporting transportation and maintenance capacity decisions. This use case is a clear example of applying Simio for Advanced Planning and Scheduling in fleet growth and maintenance operations. |
Buyer Intent: Companies Evaluating Simio
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