PIANiSM

Predictive and Prescriptive Automation in Smart Manufacturing

Project description

PIANiSM aims at putting together predictive and prescriptive maintenance techniques to achieve an end-to-end automated manufacturing process and optimise end-to-end manufacturing value chains. To disrupt traditional maintenance processes in manufacturing environments, a sophisticated system is required that covers a wide range of domains such as data science, machine learning, analytics, simulation and real-time processing. PIANiSM will provide related missing analytics techniques and algorithms, introduce new generation of data identification & integration and modelling processes, and try to develop standards to enable more flexible and applicable solutions for manufacturers.
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Project leader

Sebnem Günes Söyler
KoçSistem, Turkey
Project involvement PIANiSM
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Project publications