A Process-Planning Framework for Sustainable Manufacturing
Process planning in manufacturing today focuses on optimizing the conflicting targets of cost, quality, and time. Due to increasing social awareness and subsequent governmental regulation, environmental impact becomes a fourth major aspect. Eventually, sustainability in manufacturing ensures future...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/18/5811 |
| _version_ | 1797519506825805824 |
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| author | Colin Reiff Matthias Buser Thomas Betten Volkher Onuseit Max Hoßfeld Daniel Wehner Oliver Riedel |
| author_facet | Colin Reiff Matthias Buser Thomas Betten Volkher Onuseit Max Hoßfeld Daniel Wehner Oliver Riedel |
| author_sort | Colin Reiff |
| collection | DOAJ |
| description | Process planning in manufacturing today focuses on optimizing the conflicting targets of cost, quality, and time. Due to increasing social awareness and subsequent governmental regulation, environmental impact becomes a fourth major aspect. Eventually, sustainability in manufacturing ensures future competitiveness. In this paper, a framework for the planning of sustainable manufacturing is proposed. It is based on the abstraction and generalization of manufacturing resources and part descriptions, which are matched and ranked using a multi-criteria decision analysis method. Manufacturing resources provide values for cost, quality, time and environmental impacts, which multiply with their usage within a manufacturing task for a specific part. The framework is validated with a detailed modeling of a laser machine as a resource revealing benefits and optimization potential of the underlying data model. Finally, the framework is applied to a use case of a flange part with two different manufacturing strategies, i.e., laser metal-wire deposition and conventional milling. The most influential parameters regarding the environmental impacts are the raw material input, the manufacturing energy consumption and the machine production itself. In general, the framework enabled the identification of non-predetermined manufacturing possibilities and the comprehensive comparison of production resources. |
| first_indexed | 2024-03-10T07:42:47Z |
| format | Article |
| id | doaj.art-a3a927f2b56144d8b762bacadc350c1e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T07:42:47Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a3a927f2b56144d8b762bacadc350c1e2023-11-22T12:53:26ZengMDPI AGEnergies1996-10732021-09-011418581110.3390/en14185811A Process-Planning Framework for Sustainable ManufacturingColin Reiff0Matthias Buser1Thomas Betten2Volkher Onuseit3Max Hoßfeld4Daniel Wehner5Oliver Riedel6Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart, Seidenstrasse 36, 70174 Stuttgart, GermanyInstitut für Strahlwerkzeuge (IFSW), University of Stuttgart, Pfaffenwaldring 43, 70596 Stuttgart, GermanyInstitute for Acoustics and Building Physics (IABP), University of Stuttgart, Wankelstraße 5, 70563 Stuttgart, GermanyInstitut für Strahlwerkzeuge (IFSW), University of Stuttgart, Pfaffenwaldring 43, 70596 Stuttgart, GermanyInstitut für Strahlwerkzeuge (IFSW), University of Stuttgart, Pfaffenwaldring 43, 70596 Stuttgart, GermanyFraunhofer Institute for Building Physics (IBP), Wankelstraße 5, 70563 Stuttgart, GermanyInstitute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart, Seidenstrasse 36, 70174 Stuttgart, GermanyProcess planning in manufacturing today focuses on optimizing the conflicting targets of cost, quality, and time. Due to increasing social awareness and subsequent governmental regulation, environmental impact becomes a fourth major aspect. Eventually, sustainability in manufacturing ensures future competitiveness. In this paper, a framework for the planning of sustainable manufacturing is proposed. It is based on the abstraction and generalization of manufacturing resources and part descriptions, which are matched and ranked using a multi-criteria decision analysis method. Manufacturing resources provide values for cost, quality, time and environmental impacts, which multiply with their usage within a manufacturing task for a specific part. The framework is validated with a detailed modeling of a laser machine as a resource revealing benefits and optimization potential of the underlying data model. Finally, the framework is applied to a use case of a flange part with two different manufacturing strategies, i.e., laser metal-wire deposition and conventional milling. The most influential parameters regarding the environmental impacts are the raw material input, the manufacturing energy consumption and the machine production itself. In general, the framework enabled the identification of non-predetermined manufacturing possibilities and the comprehensive comparison of production resources.https://www.mdpi.com/1996-1073/14/18/5811computer-aided process planningsustainable manufacturinglife-cycle assessmentlaser metal-wire deposition |
| spellingShingle | Colin Reiff Matthias Buser Thomas Betten Volkher Onuseit Max Hoßfeld Daniel Wehner Oliver Riedel A Process-Planning Framework for Sustainable Manufacturing Energies computer-aided process planning sustainable manufacturing life-cycle assessment laser metal-wire deposition |
| title | A Process-Planning Framework for Sustainable Manufacturing |
| title_full | A Process-Planning Framework for Sustainable Manufacturing |
| title_fullStr | A Process-Planning Framework for Sustainable Manufacturing |
| title_full_unstemmed | A Process-Planning Framework for Sustainable Manufacturing |
| title_short | A Process-Planning Framework for Sustainable Manufacturing |
| title_sort | process planning framework for sustainable manufacturing |
| topic | computer-aided process planning sustainable manufacturing life-cycle assessment laser metal-wire deposition |
| url | https://www.mdpi.com/1996-1073/14/18/5811 |
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