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Analysis of Market Demand Parameters for the Evaluation of Flexibility in Forming Technology

Avemann, Jörg and Schmitt, Sebastian O. and Ederer, Thorsten and Lorenz, Ulf and Groche, Peter (2012):
Analysis of Market Demand Parameters for the Evaluation of Flexibility in Forming Technology.
In: Enabling Manufacturing Competitiveness and Economic Sustainability, Berlin, Springer-Verlag, pp. 458-463, [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 and Schmitt, Sebastian O. and Ederer, Thorsten and Lorenz, Ulf and Groche, Peter
Title: Analysis of Market Demand Parameters for the Evaluation of Flexibility in Forming Technology
Language: English
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.

Title of Book: Enabling Manufacturing Competitiveness and Economic Sustainability
Volume: 4
Place of Publication: Berlin
Publisher: Springer-Verlag
Uncontrolled Keywords: Demand modelling; flexibility evaluation; forming technology
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Fluid Systems (FST)
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
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