About COALA

COALA’s solution for cognitive assistance consists of a composition of trustworthy AI components with a voice-enabled digital intelligent assistant as an interface. The solution will support workers that need to use analytics tools and new workers that perform on-the-job training. Complementary to the technology, an education and training concept that focuses on building blue-collar worker competencies in human-AI collaboration will be developed. The COALA solution will transform how workers perform their jobs and it allows companies to maintain or increase the quality of their production processes and their products.

Objectives

Objective 1


Reduce the number of quality
incidents in manufacturing.

Objective 2


Reduce the time needed for on-the-job
training of workers in manufacturing.

Objective 3


Overcome barriers and reduce scepticism regarding the use of a voice-enabled DIA
in manufacturing environments.

Objective 4


Improve the competencies of blue-collar workers in managing AI opportunities, challenges, and risks in the shop floor.

Objectives

Objective 1


Reduce the number of quality
incidents in manufacturing.

Objective 2


Reduce the time needed for on-the-job
training of workers in manufacturing.

Objective 3


Overcome barriers and reduce scepticism regarding the use of a voice-enabled DIA
in manufacturing environments.

Objective 4


Improve the competencies of blue-collar workers in managing AI opportunities, challenges, and risks in the shop floor.

Industry Scenarios

COALA plans to demonstrate its solution in three complex and highly dynamic manufacturing domains that are confronted with the megatrend of Industry 4.0, but are characterized by different peculiarities and thus are a perfect fit to demonstrate the full potential of the COALA concept.

Textile
Production

Support on-the-job training of new machine operators

White Goods
Production

Support quality control procedures and use of analytics tools

Detergent
Production

Support towards the optimum configuration of the production line