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Results for design of experiments

Publications & Outputs

  1. Mass optimisation of 3D-printed specimens using multivariable regression analysis

    Doicin, C-V., Ulmeanu, M-E., Rennie, A. & Lupeanu, E., 31/12/2021, In: International Journal of Rapid Manufacturing. 10, 1, p. 1-22 22 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Design and analysis method of nonlinear helical springs using a combining technique: Finite element analysis, constrained Latin hypercube sampling and genetic programming

    Gu, Z., Hou, X. & Ye, J., 1/11/2021, In: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 235, 22, p. 5917-5930 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields

    Semelhago, M., Nelson, B., Song, E. & Wächter, A., 30/06/2021, In: INFORMS Journal on Computing. 33, 3, p. 837-1257 421 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. D-optimal designs for multiarm trials with dropouts

    Lee, K. M., Biedermann, S. & Mitra, R., 1/07/2019, In: Statistics in Medicine. 38, 15, p. 2749-2766 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Maximum energy conversion from human motion using piezoelectric flex transducer: A multi-level surrogate modeling strategy

    Luo, L., Liu, D., Zhu, M. & Ye, J., 1/09/2018, In: Journal of Intelligent Material Systems and Structures. 29, 15, p. 3097-3107 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Metamodel-assisted design optimization of piezoelectric flex transducer for maximal bio-kinetic energy conversion

    Luo, L., Liu, D., Zhu, M. & Ye, J., 1/11/2017, In: Journal of Intelligent Material Systems and Structures. 28, 18, p. 2528-2538 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Metamodeling for cycle time-throughput-product mix surfaces using progressive model fitting

    Yang, F., Liu, J., Tongarlak, M., Ankenman, B. E. & Nelson, B. L., 2011, In: Production Planning and Control. 22, 1, p. 50-68 19 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. A confidence interval procedure for expected shortfall risk measurement via two-level simulation

    Lan, H., Nelson, B. L. & Staum, J., 09/2010, In: Operations Research. 58, 5, p. 1481-1490 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Stochastic kriging for simulation metamodeling

    Ankenman, B. E., Nelson, B. L. & Staum, J., 03/2010, In: Operations Research. 58, 2, p. 371-382 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Using simulation early in the design of a fuel injector production line

    Tongarlak, M. H., Ankenman, B., Nelson, B. L., Borne, L. & Wolfe, K., 03/2010, In: Interfaces. 40, 2, p. 105-117 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Estimating cycle time percentile curves for manufacturing systems via simulation

    Yang, F., Ankenman, B. E. & Nelson, B. L., 09/2008, In: INFORMS Journal on Computing. 20, 4, p. 628-643 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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