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Product Family Design Optimization Using Model-Based Engineering Techniques

In: Operations Research Proceedings 2017

Author

Listed:
  • David Stenger

    (Technische Universität Darmstadt)

  • Lena C. Altherr

    (Technische Universität Darmstadt)

  • Tankred Müller

    (Robert Bosch GmbH)

  • Peter F. Pelz

    (Technische Universität Darmstadt)

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.

Suggested Citation

  • David Stenger & Lena C. Altherr & Tankred Müller & Peter F. Pelz, 2018. "Product Family Design Optimization Using Model-Based Engineering Techniques," Operations Research Proceedings, in: Natalia Kliewer & Jan Fabian Ehmke & Ralf Borndörfer (ed.), Operations Research Proceedings 2017, pages 495-502, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-89920-6_66
    DOI: 10.1007/978-3-319-89920-6_66
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