Patrick Georgi

Mr. Patrick Georgi

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 January 2025 in Machines
Verified
Journal Article
Open access
PDF file
MGMax Goebels
Max Goebels
ASAlexander Schulte
Alexander Schulte
PGPatrick Georgi
Patrick Georgi
FHFabian Heimberger
Fabian Heimberger
JSJannik Schwalm
Jannik Schwalm
NPNejila Parspour
Nejila Parspour
The increasing volatility of the markets and the growing demand for customized products are challenges for future production to ensure maximum flexibility and adaptability. This paper introduces software-defined value stream process systems (SVPSs), a novel approach that extends the concept of software-defined manufacturing into autonomous, reconfigurable production systems. SVPSs establish a cyber–physical chain that links product features to requirements, enabling their fulfillment through modular machine and process hardware. A modular construction kit of individually combinable hardware and associated software modules is presented. These modules are coordinated via a digital process chain that enables holistic simulations, optimizations, and planning based on a Digital Twin. This system is based on software-defined manufacturing but extends it into autonomous reconfigurable machines. By enabling virtual planning and commissioning of entire production lines, the SVPS concept provides an efficient and adaptable solution to meet the demands of volatile markets.

13 November 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
MGMax Goebels
Max Goebels
ASAlexander Schulte
Alexander Schulte
PGPatrick Georgi
Patrick Georgi
FHFabian Heimberger
Fabian Heimberger
JSJannik Schwalm
Jannik Schwalm
NPNejila Parspour
Nejila Parspour
The increasing volatility of the markets and the growing demand for customized products are the challenges for the production of the future to ensure maximum flexibility and adaptability. This paper presents the development of a cyber-physical chain linking product features to requirements and their fulfillment in machine and process hardware to form a modular, reconfigurable production system. The conception and realization of universal production systems is investigated. A modular construction kit of individually combinable hardware and associated software modules is presented. These modules are coordinated via a digital process chain that enables holistic simulations, optimizations, and planning based on digital twins. This system is based on software-defined manufacturing but extends it into autonomous reconfigurable machines. The virtual planning and commissioning of entire production lines aims to achieve efficient and adaptable production in volatile markets.