| Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter H Dong, X Jin, Y Lou, C Wang Journal of power sources 271, 114-123, 2014 | 173 | 2014 |
| Production-driven opportunistic maintenance for batch production based on MAM–APB scheduling T Xia, X Jin, L Xi, J Ni European Journal of Operational Research 240 (3), 781-790, 2015 | 104 | 2015 |
| Decision support systems for effective maintenance operations J Ni, X Jin CIRP annals 61 (1), 411-414, 2012 | 102 | 2012 |
| Option model for joint production and preventive maintenance system X Jin, L Li, J Ni International Journal of Production Economics 119 (2), 347-353, 2009 | 93 | 2009 |
| Optimal control of reassembly with variable quality returns in a product remanufacturing system X Jin, J Ni, Y Koren CIRP annals 60 (1), 25-28, 2011 | 63 | 2011 |
| Assembly strategies for remanufacturing systems with variable quality returns X Jin, SJ Hu, J Ni, G Xiao IEEE Transactions on Automation Science and Engineering 10 (1), 76-85, 2012 | 61 | 2012 |
| Preventive maintenance opportunities for large production systems J Ni, X Gu, X Jin CIRP Annals 64 (1), 447-450, 2015 | 53 | 2015 |
| Prediction of passive maintenance opportunity windows on bottleneck machines in complex manufacturing systems X Gu, X Jin, J Ni Journal of Manufacturing Science and Engineering 137 (3), 2015 | 49 | 2015 |
| Operating load based real-time rolling grey forecasting for machine health prognosis in dynamic maintenance schedule T Xia, X Jin, L Xi, Y Zhang, J Ni Journal of Intelligent Manufacturing 26 (2), 269-280, 2015 | 49 | 2015 |
| The present status and future growth of maintenance in US manufacturing: results from a pilot survey X Jin, D Siegel, BA Weiss, E Gamel, W Wang, J Lee, J Ni Manufacturing review 3, 2016 | 39 | 2016 |
| Present status and future growth of advanced maintenance technology and strategy in US manufacturing X Jin, BA Weiss, D Siegel, J Lee International journal of prognostics and health management 7 (Spec Iss on …, 2016 | 39 | 2016 |
| Manufacturing system design for resilience X Gu, X Jin, J Ni, Y Koren Procedia Cirp 36, 135-140, 2015 | 38 | 2015 |
| Forecasting product returns for remanufacturing systems X Liang, X Jin, J Ni Journal of Remanufacturing 4 (1), 1-18, 2014 | 21 | 2014 |
| Automotive manufacturing technologies–an international viewpoint S Peters, G Lanza, N Jun, J Xiaoning, Y Pei Yun, M Colledani | 21 | 2014 |
| Manufacturing productivity and energy efficiency: a stochastic efficiency frontier analysis H Shui, X Jin, J Ni International Journal of Energy Research 39 (12), 1649-1663, 2015 | 20 | 2015 |
| Estimation of active maintenance opportunity windows in Bernoulli production lines X Gu, X Jin, W Guo, J Ni Journal of Manufacturing Systems 45, 109-120, 2017 | 18 | 2017 |
| A failure-dependency modeling and state discretization approach for condition-based maintenance optimization of multi-component systems M Xu, X Jin, S Kamarthi, M Noor-E-Alam Journal of manufacturing systems 47, 141-152, 2018 | 16 | 2018 |
| Joint production and preventive maintenance strategy for manufacturing systems with stochastic demand X Jin, J Ni Journal of Manufacturing Science and Engineering 135 (3), 2013 | 16 | 2013 |
| Two-stage sequence generation for partial disassembly of products with sequence dependent task times RJ Riggs, X Jin, SJ Hu Procedia Cirp 29, 698-703, 2015 | 10 | 2015 |
| Resilience measures of manufacturing systems under disruptions X Gu, X Jin, J Ni ASME 2014 International Manufacturing Science and Engineering Conference …, 2014 | 8 | 2014 |
Jun NiShien-Ming Wu Collegiate Professor of Manufacturing Science and Professor of Mechanical EngineeringVerified email at umich.edu
