Combine models from data with automated best practice process expertise. No-code modelling as patterns rules, tables or decision trees.
A plant condition monitoring engine support the most comprehensive monitoring techniques.
Our patented performance and control engine can use a number of KPI models and a defined performance cost function to generate the optimal control settings.
Process Advisory chatbot can be used to interact intelligently with the user through an app, web or chat channel to work in a guided conversational manner to trouble-shoot a solution or to capture the assessment of the operator.
Reconfigurable Manufacturing System (RMS) is the structure of the system as well as of its machines and controls can be rapidly changed in response to market changes.
Technology can feed into existing dashboarding techniques or can be custom built to specific requirements.
Plant uptime increased
This solution, deployed by Hosokawa Micron, supports condition monitoring for preventative maintenance, diagnostics for improved plant & product quality & trouble-shooting bots for minimising downtime. This has resulted in 15% improvement in uptime & a 20% reduction in energy usage.
Improvement in plant uptime
This solution, deployed at an oil company, used machine learning to understand how energy costs and emissions were dependent on external factors, control settings and operating practices. We identified opportunities for reducing energy costs by 3% and reducing CO2 emissions by 7%.
Reduction in CO2 emissions
Energy costs reduced
This solution, deployed at a UK brewery, used machine learning on data from a central refrigeration system to understand the variations in the efficiency of the plant. This identified opportunities to reduce energy costs by changing the control strategy and operating practices with minimal capital cost.
Annual reduction in energy costs
This solution, deployed at a chemical complex, used machine learning to identify patterns in operating parameters and modes of operation. These patterns were used to determine the optimal control set points and operating strategies required to minimize costs.
Reduction in costs
This solution, deployed at a mineral processing plant, used machine learning to analyse the performance of rotary kiln driers. It identified the best operating conditions to minimise energy costs while still meeting production and quality targets.
Savings of energy use
A platform for all industrial sectors
We work with our partners in a collaborative way in many sectors to help them develop/deploy vertical solutions (that capture their sector Domain Expertise) thereby allowing them to gain competitive advantage in their industrial sector. The XpertRule Intelligent Manufacturing Team and our partners have experience across multiple sectors – pharmaceutical, chemical, food & beverage, minerals, additive manufacturing, subtractive manufacturing and hybrid manufacturing.