Avemann, Jörg ; Schmitt, Sebastian O. ; Ederer, T. ; Lorenz, U. ; Groche, Peter (2012)
Analysis of Market Demand Parameters for the Evaluation of Flexibility in Forming Technology.
In: Enabling Manufacturing Competitiveness and Economic Sustainability
Buchkapitel, Bibliographie
Kurzbeschreibung (Abstract)
The production planning of forming companies is regularly confronted with a large market power of the costumers. Hence, unexpected variations in demand can heavily affect the predefined selection of production technologies. In this paper a taxonomy is developed that allows the categorisation of demand data depending on the time level and the consideration of uncertainty. Discrete modelling is employed to identify the optimal technology selection considering flexible and dedicated manufacturing systems. Therefore, parameters describing deterministic and stochastic demand scenarios are examined providing an assessment of their informative value. Further, the influence of external, technology-independent model parameters is investigated. To validate the discrete model the manufacturing of a sample is analysed considering multiple production technologies.
| Typ des Eintrags: | Buchkapitel |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Avemann, Jörg ; Schmitt, Sebastian O. ; Ederer, T. ; Lorenz, U. ; Groche, Peter |
| Art des Eintrags: | Bibliographie |
| Titel: | Analysis of Market Demand Parameters for the Evaluation of Flexibility in Forming Technology |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Ort: | Berlin |
| Verlag: | Springer-Verlag |
| Buchtitel: | Enabling Manufacturing Competitiveness and Economic Sustainability |
| Band einer Reihe: | 4 |
| Kurzbeschreibung (Abstract): | The production planning of forming companies is regularly confronted with a large market power of the costumers. Hence, unexpected variations in demand can heavily affect the predefined selection of production technologies. In this paper a taxonomy is developed that allows the categorisation of demand data depending on the time level and the consideration of uncertainty. Discrete modelling is employed to identify the optimal technology selection considering flexible and dedicated manufacturing systems. Therefore, parameters describing deterministic and stochastic demand scenarios are examined providing an assessment of their informative value. Further, the influence of external, technology-independent model parameters is investigated. To validate the discrete model the manufacturing of a sample is analysed considering multiple production technologies. |
| Freie Schlagworte: | Demand modelling; flexibility evaluation; forming technology |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006) 16 Fachbereich Maschinenbau > Institut für Produktionstechnik und Umformmaschinen (PtU) DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche 04 Fachbereich Mathematik 04 Fachbereich Mathematik > Optimierung Zentrale Einrichtungen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 805: Beherrschung von Unsicherheit in lasttragenden Systemen des Maschinenbaus |
| Hinterlegungsdatum: | 11 Jul 2013 11:03 |
| Letzte Änderung: | 26 Nov 2020 10:24 |
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