| A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability J Wang, Y Ma, L Ouyang, Y Tu European Journal of Operational Research 249 (1), 231-237, 2016 | 59 | 2016 |
| An interval approach to robust design with parameter uncertainty L Ouyang, Y Ma, JH Byun, J Wang, Y Tu International Journal of Production Research 54 (11), 3201-3215, 2016 | 45 | 2016 |
| A new loss function for multi-response optimization with model parameter uncertainty and implementation errors L Ouyang, Y Ma, J Wang, Y Tu European Journal of Operational Research 258 (2), 552-563, 2017 | 34 | 2017 |
| Robust parameter design based on Gaussian process with model uncertainty Z Feng, J Wang, Y Ma, Y Tu International Journal of Production Research 59 (9), 2772-2788, 2021 | 26 | 2021 |
| Economic parameter design for ultra-fast laser micro-drilling process J Wang, Y Ma, F Tsung, G Chang, Y Tu International Journal of Production Research 57 (20), 6292-6314, 2019 | 25 | 2019 |
| Simultaneous multi-response optimisation for parameter and tolerance design using Bayesian modelling method J Wang, J Mao, Y Tu International Journal of Production Research, 2020 | 23 | 2020 |
| Bayesian modeling and optimization for multi-response surfaces J Wang, Y Ma, L Ouyang, Y Tu Computers & Industrial Engineering, 106357, 2020 | 18 | 2020 |
| An interval programming model for continuous improvement in micro-manufacturing L Ouyang, Y Ma, J Wang, Y Tu, JH Byun Engineering Optimization 50 (3), 400-414, 2018 | 16 | 2018 |
| Economic quality design under model uncertainty in micro-drilling manufacturing process Y Han, Y Tu, L Ouyang, J Wang, Y Ma International Journal of Production Research, 2020 | 15 | 2020 |
| ARMA 模型在我国电力需求预测中的应用 汪建均， 胡宗义 经济数学 23 (1), 64-68, 2006 | 15 | 2006 |
| Integrated parameter and tolerance design based on a multivariate Gaussian process model Z Feng, J Wang, Y Ma, Y Ma Engineering Optimization 53 (8), 1349-1368, 2021 | 14 | 2021 |
| Bayesian robust parameter design for ordered response S Yang, J Wang, Y Tu International Journal of Production Research 60 (12), 3630-3650, 2022 | 12 | 2022 |
| Robust parameter design of dynamic multi‐response system: a new integrated method J Wang, Y Ma, G Su Asian Journal on Quality 12 (1), 67-79, 2011 | 12 | 2011 |
| Robust multi-response surface optimisation based on Bayesian quantile model S Yang, J Wang, Y Tu, Y Han, X Ren, C Ding, X Chen International Journal of Production Research 61 (10), 3260-3278, 2023 | 11 | 2023 |
| Integrated multiresponse parameter and tolerance design with model parameter uncertainty Y Han, Y Ma, L Ouyang, J Wang, Y Tu Quality and Reliability Engineering International 36 (1), 414-433, 2020 | 11 | 2020 |
| Robust parameter design of supply chain inventory policy considering the uncertainty of demand and lead time LN Tang, YZ Ma, JJ Wang, LH Ouyang, JH Byun Scientia Iranica 26 (5), 2971-2987, 2019 | 10 | 2019 |
| A prediction region‐based approach to model uncertainty for multi‐response optimization L Ouyang, Y Ma, JH Byun, J Wang, Y Tu Quality and Reliability Engineering International 32 (3), 783-794, 2016 | 10 | 2016 |
| Bayesian modeling and optimization of multi-response robust parameter design JJ Wang, YZ Ma, LH Ouyang, JS Sun, J Liu Journal of Management Sciences in China 19 (2), 85-94, 2016 | 10 | 2016 |
| Online robust parameter design considering observable noise factors S Yang, J Wang, Y Ma Engineering Optimization 53 (6), 1024-1043, 2021 | 9 | 2021 |
| Multi-response online parameter design based on Bayesian vector autoregression model S Yang, J Wang, Y Ma, Y Tu Computers & Industrial Engineering 149, 106775, 2020 | 9 | 2020 |
Yiliu TuUniversity of CalgaryПотвърден имейл адрес: ucalgary.ca