Operational Optimization
Capacity planning, production scheduling, resource allocation, manpower forecasting, workflow analysis, and operational performance improvement.
Tooley Engineering helps organizations improve performance through industrial engineering, Lean and 5S, continuous improvement, safety, and advanced digital technologies—from simulation and digital twins to extended reality (XR).
Discuss Your Project →Explore ServicesPractical consulting that combines factory-floor experience, systems thinking, and emerging technology to address complex operational challenges.
Capacity planning, production scheduling, resource allocation, manpower forecasting, workflow analysis, and operational performance improvement.
Waste reduction, workplace organization, process standardization, visual management, facility layout, and measurable improvement initiatives.
Ergonomics, human-centered process design, safer work environments, operational risk awareness, and simulation-informed design reviews.
Production readiness, factory flow, time studies, work measurement, resource planning, and engineering support for complex programs.
Model-based engineering, operational architecture, cross-functional integration, trade studies, and lifecycle-oriented engineering analysis.
Technology adoption planning, digital workflows, predictive scheduling concepts, and integration of visualization tools into engineering processes.
Extended reality is most valuable when it solves a real engineering problem. Our approach connects immersive visualization to manufacturing performance, product development, human factors, and workforce understanding.
Virtual Reality (VR) • Augmented Reality (AR) • Extended Reality (XR) • 3D Simulation • Digital Twins • Motion Capture • Model-Based Systems Engineering • AI-Assisted Engineering Concepts
Enterprise visualization initiatives, secure XR deployment coordination, software licensing, stakeholder engagement, and technical demonstrations.
Founded on the professional experience of Joshua E. Tooley, Tooley Engineering brings more than 15 years of industrial and manufacturing engineering experience across aerospace, defense, aviation, and advanced technology environments.
Experience includes engineering roles at Boeing, Northrop Grumman, and L3Harris Aerojet Rocketdyne, spanning commercial aircraft, defense programs, manufacturing operations, capacity planning, visualization integration, and continuous improvement.
Leadership contributions have included enterprise engineering conferences, advanced visualization initiatives, and engineering demonstrations supporting major program and proposal activities.
Five documented invention disclosures address manufacturing tools, foreign-object-debris organization, immersive visualization, aerospace training concepts, and aircraft systems.
Technical presentations have covered digital twins, VR and motion capture, XR across the program lifecycle, human factors, and Lean improvements.
Patent issuance and specific contract-award claims are not represented here without independent verification.
Formal education in manufacturing engineering, engineering management, and systems engineering supports a multidisciplinary consulting approach.
M.S. Manufacturing Engineering — 2022
Graduate Certificate, Systems Engineering — 2024
Graduate Certificate, Systems Engineering – Model-Based Engineering — 2022
B.S. Engineering Management — 2010
A.S. Engineering Science — 2009
Doctoral-level systems engineering studies and research involving digital twins, SysML modeling, and AI/neural network applications.
Resume also lists an M.S. Manufacturing Engineering dated December 2026; this future-dated entry is not presented as a completed degree pending confirmation.
Discuss consulting opportunities in process improvement, industrial engineering, Lean, safety, systems engineering, and digital XR technology.
Contact: jetwc7@mst.edu
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