Production models validated within 1%.
Find the improvements your loss tree never will.

Thirty-five years of production modeling for Fortune 500 manufacturers — Essity, General Mills, Symbotic, Union Pacific. See the proof.

▭ Artificial Intelligence

△ Operations Research

Explore the efficient frontier for your problem

Precision tools at the intersection of AI and operations research — turning uncertainty into strategy, and complexity into clarity.

Explore the Tools Our Approach →

Packaging Automation — ReliaSim

Bottling Lines — ReliaSim

Precision Manufacturing — ReliaSim

Food Processing — Adaptive Coaching

Cleanroom Assembly — ReliaSim

Heavy Industry — Adaptive Edge

Packaging Lines — ReliaSim

Packaging Automation — ReliaSim

Bottling Lines — ReliaSim

Precision Manufacturing — ReliaSim

Food Processing — Adaptive Coaching

Cleanroom Assembly — ReliaSim

Heavy Industry — Adaptive Edge

Packaging Lines — ReliaSim

Our Approach

Built from
first principles

01 —

Rigorous by Design

Every tool is grounded in mathematical foundations — queuing theory, statistical inference, Monte Carlo simulation. No black boxes.

02 —

AI Amplifies OR

AI reads the loss tree and points at the Labeler. Simulation reveals the real story: 120 one-minute micro-stops on the Filler cascading through the line. Fix the right thing, recover 56% more throughput. See how →

03 —

Domain-Deep

Generic tools make generic decisions. ChiAha tools are built for specific domains — healthcare, reliability, thermal processing — with full context.

04 —

Insight That Acts

Every simulation, every model, every output is designed to produce one thing: a decision you can act on with confidence.

In Their Own Words

Named customers.
specific outcomes.

"We leveraged the model to recommend solutions that saved $21.7M in inventory carrying costs and reduced transit time by 19%."

        — Mike Keller, Network Analyst & Engineer, Union Pacific Railroad
      

"Instead of taking a snapshot, this is more like a video. Your ability to actually see the activity in action while the supply chain is running lets you understand impacts much better."

        — Mike Geddis, Director of Engineering, General Mills
      

"The team went above and beyond the project scope, proactively brainstorming ways to make our project better."

        — J. Adam Traina, Director of Operations Research, Symbotic
      

Services

From raw data to prediction

ChiAha provides services supporting teams in adopting a proven, scientific approach for faster, better operational decisions. Using your data, our simulation techniques draw from three decades of manufacturing modeling expertise.

OEE & Throughput Simulation

Capacity modeling, bottleneck identification, and what-if analysis.

TOC, Lean & Systems Thinking

Practical application of constraint theory and lean principles.

Verify & Validate

Leverage production data historians for accurate predictions.

Practical AI

Convert production questions into data-driven decisions.

Feasibility & Sensitivity Analysis

Model-based configuration testing and risk assessment.

Discrete Rate Modeling

Next-generation simulation for intuitive OEE improvement.

About

35 years of building models
that work.

ChiAha was created with consulting partners from Technology Optimization & Management, representing 35 years of intensive model-building for diverse industries.

Founder

Andrew Siprelle

Educator, consultant, simulation tool developer. Founded Simulation Dynamics, Inc. (SDI) in the early 1990s. Coined "Discrete Rate Simulation." ChiAha represents his lifelong goal to distribute DRS benefits more widely.

Product Manager / Designer

Amber Siprelle

Product lead across the ChiAha tool family. Shapes the sales, marketing, and user experience surface for ReliaSim, ReliaStats, DiscreteRate, and the broader ChiAha product suite.

Doctors of Reliability

Tom Lange

36-year retired R&D & Engineering Director, P&G

Modeling & simulation, reliability engineering, high-performance computing.

Bob Matthews

36-year retired Reliability Engineer, P&G

Modeling & simulation, data analysis, control systems, production system modeling.

Peter Au-Yeung

35-year retired Senior Reliability Engineer, P&G

Reliability engineering, data analysis, modeling & simulation.

Jeff Holland

32-year retired Global Baby Care Director of Reliability Engineering, P&G

Reliability management, maintenance engineering.

Production models validated within 1%.
Find the improvements your loss tree never will.

Tools built for
hard problems

Built from
first principles

Rigorous by Design

AI Amplifies OR

Domain-Deep

Insight That Acts

Named customers.
specific outcomes.

30 years of
peer-reviewed work

Books

Peer-Reviewed Papers & Conference Proceedings

From raw data to prediction

35 years of building models
that work.

Explore the efficient frontier
for your problem

Join our list

Production models validated within 1%. Find the improvements your loss tree never will.

Tools built forhard problems

Built fromfirst principles

Rigorous by Design

AI Amplifies OR

Domain-Deep

Insight That Acts

Named customers.specific outcomes.

30 years ofpeer-reviewed work

Books

Peer-Reviewed Papers & Conference Proceedings

From raw data to prediction

35 years of building modelsthat work.

Explore the efficient frontierfor your problem

Join our list

Production models validated within 1%.
Find the improvements your loss tree never will.

Tools built for
hard problems

Built from
first principles

Named customers.
specific outcomes.

30 years of
peer-reviewed work

35 years of building models
that work.

Explore the efficient frontier
for your problem