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 [...]

WhitePaper: An interview study on the human success factor in Data Science projects

By |2023-05-30T11:30:11+02:00August 19th, 2021|

WhitePaper: An interview study on the human success factor in Data Science projects How is the application of Data Science accepted and successfully used? How do people in the working world react to the topic of Data Science and Artificial Intelligence? Based on a qualitative survey of more than 50 specialists and [...]

Interview study on success factors and obstacles of Industrial Data Science projects is published

By |2023-05-30T11:27:25+02:00November 20th, 2020|

Interview study on success factors and obstacles of Industrial Data Science projects Companies have recently recognized the potential of Industrial Data Science (IDS), but often fail to implement it in practice. The publication presents the results of a cross-industry interview study with more than 50 executives and experts. Interview study on [...]

Publication on the uses of visualizations in Industrial Data Science projects released

By |2023-05-25T09:59:42+02:00October 19th, 2020|

Publication on the use of graphical representations of information and data in Industrial Data Science projects released The ongoing digitization in production is leading to constantly growing volumes of data. This data can contain valuable knowledge as the basis for numerous decision-making processes. Only through the targeted use of selected visualizations can [...]

Publication on Industrial Data Science in Value Networks released

By |2023-05-25T09:53:37+02:00December 22nd, 2019|

Kickoff publication on Industrial Data Science in value networks Development of the research results takes place in four performance areas The kickoff publication represents the first scientific work in the research project and serves as a framework for the joint research and development work. The publication describes the overarching concept in the [...]

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