Production and Manufacturing Powered by QLAYM

Production & Manufacturing Powered by QLAYM


Predictive maintenance, reduced downtime and process optimization to cut costs and enhance product quality are vital to the manufacturing industry to remain competitive. QLAYM vitalizes all their data for this.

 


QLAYM EMPOWERS MANUFACTURING

 

We partner with some of the world’s largest and most specialized manufacturing and production companies helping them better understand their complex, information rich data and extract meaningful insight and value out of it.

Q-USDTM integrates all kinds of data collected at various stages of manufacturing and production processes and extracts systematics with a predictive value in respect of the up-front defined outcome (e.g., causes for failures, target areas and mechanisms for optimization, answers to new challenges).

By exploring innovative solution spaces and revealing unknown mechanisms, Q-USDTM provides an ideal complement to existing expert knowledge in your field.

As the predictability of any outcome mostly correlates to not only one or two variables but a network of variables, we are dealing with complex multi-variable and interdependent systems. What makes up our success is our ability to translate these networks’ “talks” into usable insights with significant value for our clients.

 

QLAYM IN MANUFACTURING – THE DETAILS

 

What kinds of topics? Troubleshooting on production processes (identification of sources of unanticipated production errors such as scratches, defects in shape, color, …) – optimization of production processes (product quality, reliability and downtime, energy and resource efficiency) – discovery and optimization of new materials – efficient modeling of chemical and physical processes by guided experimentation

 
What kinds of data? Quality descriptors, product descriptors, material data, sensor readings, control parameters, temporal and spatial identifiers, operational metadata

Can be in the form of independent samples, time series, images, etc. and be subject to missing values, noise, and systematic distortions

 
What kinds of solutions? Guidelines for error reduction or prevention – optimal production parameter settings and ranges – formulation of new materials fulfilling required specifications – formulaic and/or computational models for chemical and physical processes and chemical process optimization – online monitoring/optimization and operational assistance systems – data visualization and exploration solutions

 

SOUND LIKE WHAT YOU NEED? GET IN TOUCH WITH US HERE.