AI for increased productivity.
Maximize throughput and increase your top line without the guesswork.
OEE with business sense
Hint: it isn’t just about OEE tracking and optimization!
Leverage AI to achieve better production from a business-savvy perspective.
By fusing plant data with digital twin simulations of equipment and process behavior, you can increase productivity and reveal the true causes of bottlenecks.
Maya HTT’s industrial AI solutions help identify constraints, quantify impacts, and propose data-driven adjustments that respect the physical limits of your production line while maximizing your business value.
The results? Safe and sustainable higher production outputs, smooth flows, and improved overall equipment effectiveness (OEE with business sense), built directly into your continuous improvement initiatives.
Engineering physics meets AI at industrial scale
Unlike other AI solutions, our model predictions hold up under real-world conditions because the laws of physics are encoded into the model or at least understood so the algorithms selected are the right ones.
Our physics-aware models or modeling approaches serve as the guardrails of industrial AI adoption.
With our industrial AI solutions, you gain the confidence of fewer false positives, safer optimization, and faster time-to-trust, leading to better AI adoption and productivity.
Throughput optimization and bottleneck management
Our AI solutions help you produce more with the same assets.
Most production losses don’t come from equipment failures. They come from hidden bottlenecks, dynamic constraints, and suboptimal coordination between assets.
AI application
- Physics-aware and data-driven models of production flow
- Dynamic bottleneck detection across lines or plants
- What-if simulations of setpoints, sequencing, and routing decisions
Key capabilities
- Predict throughput under different operating scenarios
- Identify shifting constraints in real time
- Recommend operating strategies to maximize line or plant output
Productivity improvements
- Increased OEE without capital investment
- Reduced micro-stoppages and starvation/blocking effects
- Better exploitation of existing asset capacity
Yield, quality, and first-pass success optimization
With our AI solutions, you can make more sellable product from the same input.
Scrap, rework, and quality drift silently erode productivity and margins.
AI application
- Multivariate quality models linking process conditions to outcomes
- Early detection of quality deviation before it becomes scrap
- Recipe and parameter optimization under quality constraints
Key capabilities
- Predict final product quality early in the process
- Identify root causes of yield loss
- Optimize trade-offs between speed, yield, and quality
Productivity improvements
- Higher first-pass yield
- Reduced rework and downstream disruptions
- Faster ramp-up after grade or recipe changes
Operational decision support and autonomous control
Operator decisions are often experience-based and hard to scale, especially under complex, fast-changing conditions.
Using AI solutions for productivity delivers reduced variability caused by human guesswork.
AI application
- Real-time decision support systems
- AI-assisted or closed-loop control for complex processes
- Best-operating-point recommendations or dynamic control
Key capabilities
- Standardize “best operator” behavior across shifts
- Reduce dependency on tribal knowledge
- Enable safe automation of decisions previously considered too complex
Productivity improvements
- Reduced variability and fewer excursions
- Faster response to disturbances
- Stable production closer to optimal limits
