| A simulation framework for optimizing bike rebalancing and maintenance in large-scale bike-sharing systems Y Jin, C Ruiz, H Liao Simulation Modelling Practice and Theory 115, 102422, 2022 | 23 | 2022 |
| Reliability estimation from two types of accelerated testing data considering measurement error Z Ma, S Wang, C Ruiz, C Zhang, H Liao, E Pohl Reliability Engineering & System Safety 193, 106610, 2020 | 23 | 2020 |
| Component replacement and reordering policies for spare parts experiencing two-phase on-shelf deterioration C Ruiz, H Luo, H Liao, W Xie IISE Transactions 52 (1), 75-90, 2020 | 19 | 2020 |
| Data analysis and resource allocation in Bayesian selective accelerated reliability growth C Ruiz, M Heydari, KM Sullivan, H Liao, E Pohl IISE Transactions 52 (3), 301-320, 2020 | 12 | 2020 |
| Learning and predicting shape deviations of smooth and non-smooth 3d geometries through mathematical decomposition of additive manufacturing Y Wang, C Ruiz, Q Huang IEEE Transactions on Automation Science and Engineering, 2022 | 11 | 2022 |
| Prediction and control of product shape quality for wire and arc additive manufacturing C Ruiz, D Jafari, V Venkata Subramanian, THJ Vaneker, W Ya, Q Huang Journal of Manufacturing Science and Engineering 144 (11), 111005, 2022 | 10 | 2022 |
| Selective maintenance modeling and analysis of a complex system with dependent failure modes C Ruiz, EA Pohl, H Liao Quality Engineering 32 (3), 509-520, 2020 | 10 | 2020 |
| A Bayesian framework for accelerated reliability growth testing with multiple sources of uncertainty C Ruiz, E Pohl, H Liao, KM Sullivan Quality and Reliability Engineering International 35 (3), 837-853, 2019 | 10 | 2019 |
| Extended fabrication-aware convolution learning framework for predicting 3D shape deformation in additive manufacturing Y Wang, C Ruiz, Q Huang 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 6 | 2021 |
| Bayesian accelerated reliability growth of complex systems C Ruiz, H Liao, E Pohl, KM Sullivan 2018 Annual Reliability and Maintainability Symposium (RAMS), 1-6, 2018 | 6 | 2018 |
| Analysis of correlated multivariate degradation data in accelerated reliability growth C Ruiz, H Liao, EA Pohl Quality and Reliability Engineering International 37 (7), 3125-3144, 2021 | 5 | 2021 |
| Bayesian degradation modelling for spare parts inventory management C Ruiz, E Pohl, H Liao IMA Journal of Management Mathematics 32 (1), 31-49, 2021 | 4 | 2021 |
| A simulation framework for the rebalancing and maintenance of bicycle-sharing systems Y Jin, C Ruiz, H Liao, H Pierson 2019 Winter Simulation Conference (WSC), 819-829, 2019 | 4 | 2019 |
| A nonparametric degradation-based method for modeling reliability growth C Ruiz, H Liao, E Pohl 2019 Annual Reliability and Maintainability Symposium (RAMS), 1-6, 2019 | 4 | 2019 |
| Process-Informed Segmentation of Dense Point Clouds for Layer Quality Assessment in Large-Scale Metal Additive Manufacturing C Ruiz, PM Bhatt, SK Gupta, Q Huang 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 1 | 2023 |
| A Shape Registration Methodology for Geometric Deviation Correction in Additive Manufacturing Y Wang, C Ruiz, S Park, KH Shin, JH Kim, Q Huang International Manufacturing Science and Engineering Conference 85802 …, 2022 | 1 | 2022 |
| Selective maintenance of multi-component systems with multiple failure modes C Ruiz, E Pohl, H Liao 2020 Annual Reliability and Maintainability Symposium (RAMS), 1-6, 2020 | 1 | 2020 |
| Reliability demonstration tests considering performance degradation with measurement error C Ruiz, H Liao, E Pohl Proceedings of the 10th IMA International Conference on Modelling in …, 2018 | 1 | 2018 |
| Multiresolution functional characterization and correction of biofouling for improved biosensing efficacy W Lin, C Ruiz, M Aroosh, H Ben-Yoav, Q Huang IISE Transactions 56 (6), 611-623, 2024 | | 2024 |
| Multivariate Gaussian process surrogates for predicting basic structural parameters of refractory non-dilute random alloys C Ruiz, A Raj, S Xu APL Machine Learning 2 (2), 2024 | | 2024 |
Haitao LiaoJohn & Mary Lib White Endowed Systems Integration Chair, Professor, Industrial Eng., U. of Arkansas在 uark.edu 的电子邮件经过验证
