About Lukas Metzgeroth

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So far Lukas Metzgeroth has created 29 blog entries.

Rediscovering Scientific Management -The Evolution from Industrial Engineering to lndustrial Data Science

By |2023-05-30T12:00:07+02:00November 16th, 2022|

Rediscovering Scientific Management -The Evolution from Industrial Engineering to lndustrial Data Science lndustrial Engineering (IE), through its role as design, planning and organizational body of the industrial production, has been crucial for the success of manufacturing companies for decades. The potential, expected over the course of lndustry 4.0 and through the application [...]

Enhancing Product Test Management by Using Digital Twins for Device under Test Analysis

By |2023-05-30T11:55:15+02:00November 9th, 2022|

Enhancing Product Test Management by Using Digital Twins for Device under Test Analysis New paths for product lifecycle management methods and IT tools appeared throughout traditional products evolving to smart products due to recent innovations in information and communication technologies. While some led to new, disruptive solutions, for example, reconfigurable smart products [...]

Towards integrated Data Analysis Quality: Criteria for the application of Industrial Data Science

By |2023-05-30T11:49:55+02:00October 19th, 2022|

Towards integrated Data Analysis Quality: Criteria for the application of Industrial Data Science From data quality to data analysis quality The application of Industrial Data Science in context of connected Smart Products requires modeling and structuring data for its design, development and use. Especially for Smart Products, a comprehensive handling of data [...]

The Evolution of Scientific Management: From Industrial Engineering to Industrial Data Science

By |2023-05-30T11:42:56+02:00October 5th, 2022|

The Evolution of Scientific Management: From Industrial Engineering to Industrial Data Science Ever since the First Industrial Revolution, optimization measures and operational decisions in the manufacturing industry rely on quantitative and fact-based assessments. New advancements during the ongoing digitalization and globalization of nowadays world of work represent a logical and inevitable continuation [...]

Demonstrator: Sentiment Analysis & Business Model Aspects

By |2022-09-30T16:43:37+02:00September 30th, 2022|

Demonstrator: Sentiment Analysis & Business Model Aspects Goal The goal of the demonstrator is to draw conclusions about the business model aspects of a company based on customer reviews about their products. More precisely, the mood of the author should be derived from single sentences of the review and which are then mapped against [...]

Second work report from Use Case 2: “Data-driven networked quality management”

By |2022-09-19T09:52:32+02:00September 19th, 2022|

Second work report from Use Case 2: "Data-driven networked quality management" Objective Use Case 2, "Data-driven, networked quality management", aims to lay the foundations for a gradually expandable, efficient and holistic reporting and analysis system. This system will create transparency about the quality situation and focus on potentials for quality improvement and optimization of [...]

Presentation of the AKKORD research project at the automatica trade fair 2022 in Munich.

By |2022-08-22T14:28:00+02:00August 22nd, 2022|

Presentation of the AKKORD research project at the automatica trade fair 2022 in Munich. The automatica trade fair 2022 took place from June 21 to June 24. The exhibition is considered the leading one for intelligent automation and robotics. One of this year's trend topics of the trade fair was the digital transformation in [...]

Third work report from the “Competencies and recommendations for action” research area

By |2022-06-25T12:52:41+02:00June 25th, 2022|

Third work report from the "Competencies and recommendations for action" research area The research area "Competencies and recommendations for action" is one of four main topics in the AKKORD research project. Based on the identified requirement areas and necessary competencies of the employees, the service area focuses on a transfer to concrete and measurable [...]

Second Work report from the Use Case 8 „Roll-Out strategies for Data Analytics within the triangle of technology, organization and human“.

By |2022-06-17T08:37:15+02:00June 17th, 2022|

Second Work report from the Use Case 8 „Roll-Out strategies for Data Analytics within the triangle of technology, organization and human“. The goal of Use Case 8 (UC 8) is to define a modular process model to support the introduction (idea to productive use) of data analytics in the triangle of human, technology, and [...]

Report on Use Case 4 “Anomaly Detection”

By |2023-05-16T14:27:38+02:00May 2nd, 2022|

Report on Best Practice Story 4 "Anomaly Detection" In Use Case (UC) 4, the consortium partners, Arendar, PDTec, VPE, RapidMiner and IPS work together under the leadership of PolyMerge. The UC addresses an industrial potential- and data analysis in production. The focus is divided into three main groups, data collection and data analysis, processing [...]

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