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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Simio Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
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.
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.
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.
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FAQ - APPS RUN THE WORLD Simio Coverage

Simio is a Advanced Planning and Scheduling solution from Simio.

Companies worldwide use Simio, from small firms to large enterprises across 21+ industries.

Organizations such as Northrop Grumman, Penske Corporation and Emory Healthcare are recorded users of Simio for Advanced Planning and Scheduling.

Companies using Simio are most concentrated in Aerospace and Defense, Automotive and Education, with adoption spanning over 21 industries.

Companies using Simio are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Simio across Americas, EMEA, and APAC.

Companies using Simio range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 100%.

Customers of Simio include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Simio customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Advanced Planning and Scheduling.