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
Book Section
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.
| Item Type: | Book Section |
|---|---|
| Erschienen: | 2012 |
| Creators: | Avemann, Jörg ; Schmitt, Sebastian O. ; Ederer, T. ; Lorenz, U. ; Groche, Peter |
| Type of entry: | Bibliographie |
| Title: | Analysis of Market Demand Parameters for the Evaluation of Flexibility in Forming Technology |
| Language: | English |
| Date: | 2012 |
| Place of Publication: | Berlin |
| Publisher: | Springer-Verlag |
| Book Title: | Enabling Manufacturing Competitiveness and Economic Sustainability |
| Series Volume: | 4 |
| 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. |
| Uncontrolled Keywords: | Demand modelling; flexibility evaluation; forming technology |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006) 16 Department of Mechanical Engineering > Institut für Produktionstechnik und Umformmaschinen (PtU) DFG-Collaborative Research Centres (incl. Transregio) DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres 04 Department of Mathematics 04 Department of Mathematics > Optimization Zentrale Einrichtungen DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 805: Control of Uncertainty in Load-Carrying Structures in Mechanical Engineering |
| Date Deposited: | 11 Jul 2013 11:03 |
| Last Modified: | 26 Nov 2020 10:24 |
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