Product Family Design Optimization Using Model-Based Engineering Techniques

David Stenger (), Lena C. Altherr (), Tankred Müller () and Peter F. Pelz ()
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David Stenger: Technische Universität Darmstadt
Lena C. Altherr: Technische Universität Darmstadt
Tankred Müller: Robert Bosch GmbH
Peter F. Pelz: Technische Universität Darmstadt

A chapter in Operations Research Proceedings 2017, 2018, pp 495-502 from Springer

Abstract: Abstract Highly competitive markets paired with tremendous production volumes demand particularly cost efficient products. The usage of common parts and modules across product families can potentially reduce production costs. Yet, increasing commonality typically results in overdesign of individual products. Multi domain virtual prototyping enables designers to evaluate costs and technical feasibility of different single product designs at reasonable computational effort in early design phases. However, savings by platform commonality are hard to quantify and require detailed knowledge of e.g. the production process and the supply chain. Therefore, we present and evaluate a multi-objective metamodel-based optimization algorithm which enables designers to explore the trade-off between high commonality and cost optimal design of single products.

Keywords: Product Family Design Optimization; Single Product Design; High Commonality; Individual Production Costs; Kriging Meta-models (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-89920-6_66

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DOI: 10.1007/978-3-319-89920-6_66

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