The OPTIMIZER

The OPTIMIZER wird unterstützt von rhobot.ai

rhobot.ai delivers a suite of edge native, AI/ML tools to organize your data, optimize your processes, and better automate your machines, processes and facilities to drive yield, quality, uptime, efficiency – and overall bottom-line performance.

If you are data ready for AI, our solutions work in days, not months. If you are not data-ready, we can get you there – and implement an AI/ML process of continuous improvement with an auditable system of record that secures your sensitive data, on your site, without cloud or 3rd party exposure – to protect your competitive advantage.

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Warum AI/ML optimization of all aspects of your complex operation.?

The power of artificial intelligence flows from probabilistic (not deterministic/engineering) approaches. The OPTIMIZER speaks the language of your complex, real-world facility. It ingests the noisy, complex data from your plant floor and creates the ability for you to predict how changes to your process input and process parameters will change your results – for yield, quality, uptime, efficiency – and economic performance. Imagine any process with just small number of physical inputs (recipes) and control parameters (PLC set points). Seeking to tune each of these up or down in 1% increments can rapidly get you to thousands of possible combinations – impossible to test. The OPTIMIZER delivers the answers.

Vorteile

Process optimization for yield, quality, uptime, throughput, efficiency - and bottom line economic performance.
New intellectual property and competitive advantage. When you engage in continuous improvement with AI/ML, you will learn new things about input combination and process settings - increasing your competitive advantage with new IP.

Besondere Funktionen

Multi-model analytics and meta data analysis using real-plant data.

These probabilistic approaches outperform engineering simulations and idealized, deterministic evaluations. Our solution enables the use of real-world, noisy data and finds to find the best predictive fit - and as the predictive fit changes over time.

An auditable history of ML for your machines, processes and facilities.

As physical equipment and process conditional change or drift over time, you need a continuous and addable approach to constantly optimize. The history for how that occurs is important knowledge for your operational team and is a new data set that can yield valuable insights to your business.