Software-Defined Value Stream Process Systems
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 softw...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/13/1/42 |
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| _version_ | 1832588100925128704 |
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| author | Max Goebels Alexander Schulte Patrick Georgi Fabian Heimberger Jannik Schwalm Oliver Liewerenz Adrian Schäfer Jürgen Fleischer Alexander Verl Hans-Christian Möhring Volker Schulze Sven Matthiesen Nejila Parspour |
| author_facet | Max Goebels Alexander Schulte Patrick Georgi Fabian Heimberger Jannik Schwalm Oliver Liewerenz Adrian Schäfer Jürgen Fleischer Alexander Verl Hans-Christian Möhring Volker Schulze Sven Matthiesen Nejila Parspour |
| author_sort | Max Goebels |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-efd063b7e5984c5caaee59017a657d18 |
| institution | Kabale University |
| issn | 2075-1702 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj-art-efd063b7e5984c5caaee59017a657d182025-01-24T13:39:14ZengMDPI AGMachines2075-17022025-01-011314210.3390/machines13010042Software-Defined Value Stream Process SystemsMax Goebels0Alexander Schulte1Patrick Georgi2Fabian Heimberger3Jannik Schwalm4Oliver Liewerenz5Adrian Schäfer6Jürgen Fleischer7Alexander Verl8Hans-Christian Möhring9Volker Schulze10Sven Matthiesen11Nejila Parspour12wbk Institute of Production Science, Karlsruhe Institute of Technology (KIT), Kaiserstraße 12, D-76131 Karlsruhe, GermanyInstitute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University Stuttgart Seidenstraße 36, D-70174 Stuttgart, GermanyInstitute for Machine Tools (IfW), University Stuttgart Holzgartenstraße 17, D-70174 Stuttgart, Germanywbk Institute of Production Science, Karlsruhe Institute of Technology (KIT), Kaiserstraße 12, D-76131 Karlsruhe, Germanywbk Institute of Production Science, Karlsruhe Institute of Technology (KIT), Kaiserstraße 12, D-76131 Karlsruhe, GermanyInstitute of Product Engineering (IPEK), Karlsruhe Institute of Technology (KIT), Kaiserstraße 12, D-76131 Karlsruhe, GermanyInstitute of Electrical Energy Conversion (iew), University Stuttgart Pfaffenwaldring 47, D-70174 Stuttgart, Germanywbk Institute of Production Science, Karlsruhe Institute of Technology (KIT), Kaiserstraße 12, D-76131 Karlsruhe, GermanyInstitute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University Stuttgart Seidenstraße 36, D-70174 Stuttgart, GermanyInstitute for Machine Tools (IfW), University Stuttgart Holzgartenstraße 17, D-70174 Stuttgart, Germanywbk Institute of Production Science, Karlsruhe Institute of Technology (KIT), Kaiserstraße 12, D-76131 Karlsruhe, GermanyInstitute of Product Engineering (IPEK), Karlsruhe Institute of Technology (KIT), Kaiserstraße 12, D-76131 Karlsruhe, GermanyInstitute of Electrical Energy Conversion (iew), University Stuttgart Pfaffenwaldring 47, D-70174 Stuttgart, GermanyThe 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.https://www.mdpi.com/2075-1702/13/1/42Industry 4.0production sciencedigital production |
| spellingShingle | Max Goebels Alexander Schulte Patrick Georgi Fabian Heimberger Jannik Schwalm Oliver Liewerenz Adrian Schäfer Jürgen Fleischer Alexander Verl Hans-Christian Möhring Volker Schulze Sven Matthiesen Nejila Parspour Software-Defined Value Stream Process Systems Machines Industry 4.0 production science digital production |
| title | Software-Defined Value Stream Process Systems |
| title_full | Software-Defined Value Stream Process Systems |
| title_fullStr | Software-Defined Value Stream Process Systems |
| title_full_unstemmed | Software-Defined Value Stream Process Systems |
| title_short | Software-Defined Value Stream Process Systems |
| title_sort | software defined value stream process systems |
| topic | Industry 4.0 production science digital production |
| url | https://www.mdpi.com/2075-1702/13/1/42 |
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