The approach
See the process clearly, then prove what to fix
Defense and military teams model production lines, depot maintenance, refueling and ground operations, logistics, and analysis workflows, then test changes with discrete event simulation before committing capital. The proof is real. American Ordnance modeled its M430 40mm grenade production line and a proposed double index redesign, and the simulation showed it would not deliver the expected gains, avoiding a failed capital investment of about 50,000 dollars. A military evidence-analysis project used simulation to show a proposed 40 million dollar solution offered no real turnaround improvement, and the spend was avoided. An Air Force base kept full refueling capability after a project took half its fuel hydrants offline, and a logistics depot modeled maintenance of A-10, C-130, and F-16 aircraft to predict bottlenecks. The method is grounded in bottleneck analysis, Lean Six Sigma, and DMAIC, and the model settles the question before anyone commits.
What you can model
What you can model in military and defense
A working model of the work, run as a real simulation, so the real constraint is obvious.
Munitions and production lines
Lay out production and assembly with real cycle times and variability, test a redesign such as a double index line, and see whether it truly lifts output before any capital is committed.
Depot and fleet maintenance
Model depot maintenance of aircraft such as A-10, C-130, and F-16, and predict where work and aircraft back up before the bottleneck reaches the flight line.
Refueling and ground operations
Test refueling and ground operations against demand, and prove that capability holds when hydrants or crews go offline, before the change reaches the ramp.
Military logistics and supply
Model supply and distribution with finite capacity, travel time, and queues, and find the constraint that limits readiness across the chain.
Evidence and analysis workflows
Map analysis and casework end to end, run it with real volumes, and test whether a proposed investment actually improves turnaround before the spend is approved.
Case studies
Proven in military and defense
Real projects where a team mapped the process, ran the simulation, and proved the result.
$50K+capital spend avoided
Proving a grenade-line change before a $50,000 spend
American Ordnance, a military ammunition manufacturer (M430 40mm grenade line)
Read the project$40Mexpenditure avoided
Avoiding a $40M system that would not have helped
A US military biometrics group analyzing IED-incident evidence
Read the project50%fewer hydrants, full capability kept
Keeping a base fueled through a 50% hydrant cut
A US Air Force base, a bomber operating location and transport-refueling hub
Read the project3 fleetsA-10, C-130, and F-16 depot maintenance, modeled as one system
Modeling depot maintenance across three fighter fleets
Ogden Air Logistics Center, Aircraft Directorate (2,200+ staff)
Read the project90-95%department utilization, up from 30-35%
Lifting a VA department from 30% to 90% utilization
The Veterans Administration Customer Accounts Center (seven VA hospitals across Tennessee, Kentucky, and West Virginia)
Read the project150/daytrailer-load quota met, $100K/day penalties avoided
Meeting a 150-load-a-day nuclear-cleanup quota
The DCS consortium (Duke Energy, COGEMA, Stone & Webster) at a mixed-oxide nuclear-fuel facility
Read the projectWait vs costtraining time balanced against seat-utilization cost
Balancing Navy training time against cost
The US Navy, Chief of Naval Education and Training
Read the projectSee it in action
Build it, run it, find the bottleneck
The same workflow powers every industry. Describe the process and let AI build the model, run a real discrete event simulation, find the constraint with Impact Analysis, and compare the fix against the current state. See the canvas, the live run, and the reports on the product page.
Explore the product- 01
Build with AI
Describe the process in plain language and review the model before anything changes.
- 02
Run the simulation
Watch the work move through your process with real resources, queues, and variability.
- 03
Find the constraint
Rank every step by the time and cost it adds, then start with the one that matters most.
- 04
Prove the fix
Compare current state against future state and see the result before you commit.
Customer stories
Teams that model first, change once
ProcessModel was a game changer for us. It allowed us to explore various scenarios without implementing them in real life.
With ProcessModel, we have more information than we ever had before. Process simulation takes us out of the realm of speculation and closer to the world of prediction.
See your military and defense process clearly, then prove the fix
Build the model, run the simulation, find the constraint, and show the improvement before you change a thing.