Cognitive Diagnosis - Automation of Field Data Analysis

January 25, 2019

Cognitive Diagnosis - Automation of Field Data Analysis

Speaker: Martina Ringeln, Miele & Cie. KG

The analysis of field data as a basis for continuous optimization of products and processes is one core area of a sustainable quality management. In the field of consumer products especially the evaluation of customer and service data to identify defects is complicated by an unstructured and heterogeneous presence of data.

This presentation gives an insight how text mining and data mining are applied to field data at Miele and how Miele is going to improve the staff deployment for handling unstructured texts. The goal of Miele is to reduce the amount of screen work with a consistent high quality of analysis in the context of Industry 4.0 and Big Data in order to save time for other work activities.

Martina Ringeln

Deputy Director of Quality Management, Miele & Cie. KG

Martina Ringeln studied electrical engineering at the Technical University of Dortmund and graduated in 1992 as Dipl.-Ing. with a degree in communications engineering with focus on control and regulation technology.

In 1992, Ms. Ringeln started to work for Miele & Cie. KG. Starting with the participation in a trainee program and following tasks in the technical purchasing department up to 1996, Ms. Ringeln changed in 1997 to the manufacturing department. She was responsible for projects within the field of continuous process improvement with a strong focus on product and process quality. Taking up her tasks, Ms. Ringeln completed the six-sigma black belt program and started working as a qualified master black belt and internal mentor for Miele & Cie. KG. In 2006, she assumed the coordination of the “Miele value creation system” and was nominated as the head of the internal training-center in 2008.

Since mid-2012, Ms. Ringeln has been the head of series management in the quality department, where she is responsible for the quality assurance of the appliances in series production. This integrates the analysis of field data and feedback from production, sales and research by using methods of the six-sigma toolset to implement a continuous improvement and problem solving process. Ms. Ringeln works together closely with the Miele plant for dryers in Unicov and the new plant for washing machines in Ksawerow. In 2017 Ms. Ringeln took over the position as deputy director of quality management at Miele & Cie. KG.