A Process-Planning Framework for Sustainable Manufacturing

Colin Reiff, Matthias Buser, Thomas Betten, Volkher Onuseit, Max Hoßfeld, Daniel Wehner and Oliver Riedel
Additional contact information
Colin Reiff: Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart, Seidenstrasse 36, 70174 Stuttgart, Germany
Matthias Buser: Institut für Strahlwerkzeuge (IFSW), University of Stuttgart, Pfaffenwaldring 43, 70596 Stuttgart, Germany
Thomas Betten: Institute for Acoustics and Building Physics (IABP), University of Stuttgart, Wankelstraße 5, 70563 Stuttgart, Germany
Volkher Onuseit: Institut für Strahlwerkzeuge (IFSW), University of Stuttgart, Pfaffenwaldring 43, 70596 Stuttgart, Germany
Max Hoßfeld: Institut für Strahlwerkzeuge (IFSW), University of Stuttgart, Pfaffenwaldring 43, 70596 Stuttgart, Germany
Daniel Wehner: Fraunhofer Institute for Building Physics (IBP), Wankelstraße 5, 70563 Stuttgart, Germany
Oliver Riedel: Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart, Seidenstrasse 36, 70174 Stuttgart, Germany

Energies, 2021, vol. 14, issue 18, 1-28

Abstract: 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.

Keywords: computer-aided process planning; sustainable manufacturing; life-cycle assessment; laser metal-wire deposition (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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