Suchergebnisse

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.

Bei mehrstufigen Produktionssystemen rotierender Bauteile kann bereits ein kleiner Fehler zu Ausschuss führen. Um die Wettbewerbsfähigkeit europäischer Unternehmen zu gewährleisten, wird eine Null-Fehler Fertigung angestrebt. In diesem Beitrag wird dafür eine Web-App vorgestellt, die Bauteilvari- ationen automatisch erkennen und Fehlerkompensations- strategien ableiten kann. Das Potenzial des mehrstufigen Produktionssystems wird genutzt, um Fehler am Bauteil im Produktionsfluss durch eine geeignete Steuerung und Regelung zu beheben.
 
In multi-stage manufacturing systems of rotating parts, even a small defect can lead to rejects. In order to maintain competitiveness, European companies aim for zero-defect manufacturing. We present a web app that can automatically detect part variations and derive defect compensation strategies. The potential of the multi-stage production system is used to eliminate part defects downstream by means of suitable control.

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.

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.

Die Herstellung individualisierter Produkte in geringen Stückzahlen kombiniert mit kurzen Innovationszyklen stellt die Produktionstechnik vor Herausforderungen. Rekonfigurierbare Fertigungsanlagen mit flexibler Funktionalität und Technologie können Teil der Lösung sein. Ein neuartiges Konzept für eine modulare Werkzeugmaschine umfasst austauschbare Prozessmodule und eine flexible Steuerung. Die Anlage wird für Forschung auf den Gebieten der Steuerungs-, Regelungs- und Maschinentechnik genutzt.