Comparison of different methods for scrap rate estimation in sampling-based tolerance-cost-optimization

Conference contribution
(Conference Contribution)

Publication Details

Author(s): Hallmann M, Schleich B, Heling B, Aschenbrenner A, Wartzack S
Editor(s): Giovanni Moroni, Stefano Petrò
Publisher: Elsevier B.V.
Publication year: 2018
Conference Proceedings Title: Procedia CIRP, Volume 75
Pages range: 51-56
ISSN: 2212-8271
Language: English


Tolerance-cost-optimizations help to find optimal tolerances for a given tolerance design, which achieve minimum total costs while satisfying the quality requirements. These requirements are commonly expressed as scrap rates in ppm-range.

This paper presents several methods for the scrap rate estimation in sampling-based tolerance-cost-optimizations. Moreover, the proposed approaches are applied to a typical case study and compared in terms of their required computation time and the obtained optimization results. The novelty of the contribution can be found in comparing different scrap rate estimation techniques for sampling-based tolerance-cost-optimizations and giving recommendations to researchers as well as practitioners.

FAU Authors / FAU Editors

Aschenbrenner, Alexander
Lehrstuhl für Konstruktionstechnik
Hallmann, Martin
Lehrstuhl für Konstruktionstechnik
Heling, Björn
Lehrstuhl für Konstruktionstechnik
Schleich, Benjamin Dr.-Ing.
Lehrstuhl für Konstruktionstechnik
Wartzack, Sandro Prof. Dr.-Ing.
Lehrstuhl für Konstruktionstechnik

How to cite

Hallmann, M., Schleich, B., Heling, B., Aschenbrenner, A., & Wartzack, S. (2018). Comparison of different methods for scrap rate estimation in sampling-based tolerance-cost-optimization. In Giovanni Moroni, Stefano Petrò (Eds.), Procedia CIRP, Volume 75 (pp. 51-56). Mailand, IT: Elsevier B.V..

Hallmann, Martin, et al. "Comparison of different methods for scrap rate estimation in sampling-based tolerance-cost-optimization." Proceedings of the 15th CIRP CAT 2018 - CIRP Conference on Computer Aided Tolerancing, Mailand Ed. Giovanni Moroni, Stefano Petrò, Elsevier B.V., 2018. 51-56.


Last updated on 2019-08-01 at 23:10