2025

Ngwu, Chinyere, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 and Wu, Rui (2025) Reinforcement learning in dynamic job shop scheduling: a comprehensive review of AI-driven approaches in modern manufacturing. Journal of Intelligent Manufacturing, (doi: 10.1007/s10845-025-02585-6) (Early Online Publication)

2024

Yang, Jimeng, Wang, Feibo, Dun, Yiheng, Huang, Zhipeng, Zhang, Andi and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2024) Prediction-based multi-objective optimization method for 3D printing resource consumption. International Journal of Advanced Manufacturing Technology, 134, pp. 1805-1843. (doi: 10.1007/s00170-024-14143-0)

2023

Yanga, Jimeng and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2023) Hybrid modelling method for the prediction and experimental validation of 3D printing resource consumption. Journal of Manufacturing Processes, 101, pp. 1275-1300. (doi: 10.1016/j.jmapro.2023.06.030)

2022

Salinas San Martin, Luis, Yang, Jin ORCID: https://orcid.org/0000-0002-1026-8495 and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2022) Hybrid NSGA III/dual simplex approach to generation and transmission maintenance scheduling. International Journal of Electrical Power and Energy Systems, 135, 107498. (doi: 10.1016/j.ijepes.2021.107498)

Jin, Hong, Lv, Shengping, Yang, Zhou and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2022) Eagle strategy using uniform mutation and modified whale optimization algorithm for QoS-aware cloud service composition. Applied Soft Computing, 114, 108053. (doi: 10.1016/j.asoc.2021.108053)

2021

Guo, Zhengang, Zhang, Yingfeng, Lv, Jingxiang, Liu, Yang and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2021) An online learning collaborative method for traffic forecasting and routing optimization. IEEE Transactions on Intelligent Transportation Systems, 22(10), pp. 6634-6645. (doi: 10.1109/TITS.2020.2986158)

2020

Yang, Jimeng and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2020) Energy, time and material consumption modelling for fused deposition modelling process. Procedia CIRP, 90, pp. 510-515. (doi: 10.1016/j.procir.2020.02.130)

2019

Yao, Xifan, Zhou, Jiajun, Lin, Yingzi, Li, Yun, Yu, Hongnian and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2019) Smart manufacturing based on cyber-physical systems and beyond. Journal of Intelligent Manufacturing, 30(8), pp. 2805-2817. (doi: 10.1007/s10845-017-1384-5)

Gong, Xu, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Lohse, Niels, De Pessemier, Toon, Martens, Luc and Joseph, Wout (2019) Energy and labor aware production scheduling for industrial demand response using adaptive multi-objective memetic algorithm. IEEE Transactions on Industrial Informatics, 15(2), pp. 942-953. (doi: 10.1109/TII.2018.2839645)

2018

Zhang, Yingfeng, Guo, Zhengang, Lv, Jingxiang and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2018) A framework for smart production-logistics systems based on CPS and industrial IoT. IEEE Transactions on Industrial Informatics, 14(9), pp. 4019-4032. (doi: 10.1109/TII.2018.2845683)

Lv, Jingxiang, Tang, Renzhong, Tang, Wangchujun, Jia, Shun, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 and Cao, Yanlong (2018) An investigation into methods for predicting material removal energy consumption in turning. Journal of Cleaner Production, 193, pp. 128-139. (doi: 10.1016/j.jclepro.2018.05.035)

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Farnsworth, Michael and Tiwari, Ashutosh (2018) Energy-efficient scheduling of flexible flow shop of composite recycling. International Journal of Advanced Manufacturing Technology, 97(1-4), pp. 117-127. (doi: 10.1007/s00170-018-1852-x)

Hu, Luoke, Tang, Renzhong, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Cao, Yanlong and Tiwari, Ashutosh (2018) Optimising the machining time, deviation and energy consumption through a multi-objective feature sequencing approach. Energy Conversion and Management, 160, pp. 126-140. (doi: 10.1016/j.enconman.2018.01.005)

2017

Hu, Luoke, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Lohse, Niels, Tang, Renzhong, Lv, Jingxiang, Peng, Chen and Evans, Steve (2017) Sequencing the features to minimise the non-cutting energy consumption in machining considering the change of spindle rotation speed. Energy, 139, pp. 935-946. (doi: 10.1016/j.energy.2017.08.032)

Jia, Shun, Yuan, Qinghe, Lv, Jingxiang, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Ren, Dawei and Zhang, Zhongwei (2017) Therblig-embedded value stream mapping method for lean energy machining. Energy, 138, pp. 1081-1098. (doi: 10.1016/j.energy.2017.07.120)

Zhang, Yingfeng, Qian, Cheng, Lv, Jingxiang and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2017) Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Transactions on Industrial Informatics, 13(2), pp. 737-747. (doi: 10.1109/TII.2016.2618892)

Hu, Luoke, Peng, Chen, Evans, Steve, Peng, Tao, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Tang, Renzhong and Tiwari, Ashutosh (2017) Minimising the machining energy consumption of a machine tool by sequencing the features of a part. Energy, 121, pp. 292-305. (doi: 10.1016/j.energy.2017.01.039)

Lv, Jingxiang, Tang, Renzhong, Tang, Wangchujun, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Zhang, Yingfeng and Jia, Shun (2017) An investigation into reducing the spindle acceleration energy consumption of machine tools. Journal of Cleaner Production, 143, pp. 794-803. (doi: 10.1016/j.jclepro.2016.12.045)

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Farnsworth, Michael and Tiwari, Ashutosh (2017) A review of optimisation techniques used in the composite recycling area: state-of-the-art and steps towards a research agenda. Journal of Cleaner Production, 140, pp. 1775-1781. (doi: 10.1016/j.jclepro.2016.08.038)

2016

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Dong, Haibo, Lohse, Niels and Petrovic, Sanja (2016) A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance. International Journal of Production Economics, 179, pp. 259-272. (doi: 10.1016/j.ijpe.2016.06.019)

Lv, Jingxiang, Tang, Renzhong, Jia, Shun and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2016) Experimental study on energy consumption of computer numerical control machine tools. Journal of Cleaner Production, 112, pp. 3864-3874. (doi: 10.1016/j.jclepro.2015.07.040)

2015

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Dong, Haibo, Lohse, Niels and Petrovic, Sanja (2015) Reducing environmental impact of production during a Rolling Blackout policy: A multi-objective schedule optimisation approach. Journal of Cleaner Production, 102, pp. 418-427. (doi: 10.1016/j.jclepro.2015.04.038)

2014

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Dong, Haibo, Lohse, Niels, Petrovic, Sanja and Gindy, Nabil (2014) An investigation into minimising total energy consumption and total weighted tardiness in job shops. Journal of Cleaner Production, 65, pp. 87-96. (doi: 10.1016/j.jclepro.2013.07.060)

Articles

Ngwu, Chinyere, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 and Wu, Rui (2025) Reinforcement learning in dynamic job shop scheduling: a comprehensive review of AI-driven approaches in modern manufacturing. Journal of Intelligent Manufacturing, (doi: 10.1007/s10845-025-02585-6) (Early Online Publication)

Yang, Jimeng, Wang, Feibo, Dun, Yiheng, Huang, Zhipeng, Zhang, Andi and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2024) Prediction-based multi-objective optimization method for 3D printing resource consumption. International Journal of Advanced Manufacturing Technology, 134, pp. 1805-1843. (doi: 10.1007/s00170-024-14143-0)

Yanga, Jimeng and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2023) Hybrid modelling method for the prediction and experimental validation of 3D printing resource consumption. Journal of Manufacturing Processes, 101, pp. 1275-1300. (doi: 10.1016/j.jmapro.2023.06.030)

Salinas San Martin, Luis, Yang, Jin ORCID: https://orcid.org/0000-0002-1026-8495 and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2022) Hybrid NSGA III/dual simplex approach to generation and transmission maintenance scheduling. International Journal of Electrical Power and Energy Systems, 135, 107498. (doi: 10.1016/j.ijepes.2021.107498)

Jin, Hong, Lv, Shengping, Yang, Zhou and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2022) Eagle strategy using uniform mutation and modified whale optimization algorithm for QoS-aware cloud service composition. Applied Soft Computing, 114, 108053. (doi: 10.1016/j.asoc.2021.108053)

Guo, Zhengang, Zhang, Yingfeng, Lv, Jingxiang, Liu, Yang and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2021) An online learning collaborative method for traffic forecasting and routing optimization. IEEE Transactions on Intelligent Transportation Systems, 22(10), pp. 6634-6645. (doi: 10.1109/TITS.2020.2986158)

Yang, Jimeng and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2020) Energy, time and material consumption modelling for fused deposition modelling process. Procedia CIRP, 90, pp. 510-515. (doi: 10.1016/j.procir.2020.02.130)

Yao, Xifan, Zhou, Jiajun, Lin, Yingzi, Li, Yun, Yu, Hongnian and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2019) Smart manufacturing based on cyber-physical systems and beyond. Journal of Intelligent Manufacturing, 30(8), pp. 2805-2817. (doi: 10.1007/s10845-017-1384-5)

Gong, Xu, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Lohse, Niels, De Pessemier, Toon, Martens, Luc and Joseph, Wout (2019) Energy and labor aware production scheduling for industrial demand response using adaptive multi-objective memetic algorithm. IEEE Transactions on Industrial Informatics, 15(2), pp. 942-953. (doi: 10.1109/TII.2018.2839645)

Zhang, Yingfeng, Guo, Zhengang, Lv, Jingxiang and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2018) A framework for smart production-logistics systems based on CPS and industrial IoT. IEEE Transactions on Industrial Informatics, 14(9), pp. 4019-4032. (doi: 10.1109/TII.2018.2845683)

Lv, Jingxiang, Tang, Renzhong, Tang, Wangchujun, Jia, Shun, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 and Cao, Yanlong (2018) An investigation into methods for predicting material removal energy consumption in turning. Journal of Cleaner Production, 193, pp. 128-139. (doi: 10.1016/j.jclepro.2018.05.035)

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Farnsworth, Michael and Tiwari, Ashutosh (2018) Energy-efficient scheduling of flexible flow shop of composite recycling. International Journal of Advanced Manufacturing Technology, 97(1-4), pp. 117-127. (doi: 10.1007/s00170-018-1852-x)

Hu, Luoke, Tang, Renzhong, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Cao, Yanlong and Tiwari, Ashutosh (2018) Optimising the machining time, deviation and energy consumption through a multi-objective feature sequencing approach. Energy Conversion and Management, 160, pp. 126-140. (doi: 10.1016/j.enconman.2018.01.005)

Hu, Luoke, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Lohse, Niels, Tang, Renzhong, Lv, Jingxiang, Peng, Chen and Evans, Steve (2017) Sequencing the features to minimise the non-cutting energy consumption in machining considering the change of spindle rotation speed. Energy, 139, pp. 935-946. (doi: 10.1016/j.energy.2017.08.032)

Jia, Shun, Yuan, Qinghe, Lv, Jingxiang, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Ren, Dawei and Zhang, Zhongwei (2017) Therblig-embedded value stream mapping method for lean energy machining. Energy, 138, pp. 1081-1098. (doi: 10.1016/j.energy.2017.07.120)

Zhang, Yingfeng, Qian, Cheng, Lv, Jingxiang and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2017) Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Transactions on Industrial Informatics, 13(2), pp. 737-747. (doi: 10.1109/TII.2016.2618892)

Hu, Luoke, Peng, Chen, Evans, Steve, Peng, Tao, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Tang, Renzhong and Tiwari, Ashutosh (2017) Minimising the machining energy consumption of a machine tool by sequencing the features of a part. Energy, 121, pp. 292-305. (doi: 10.1016/j.energy.2017.01.039)

Lv, Jingxiang, Tang, Renzhong, Tang, Wangchujun, Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Zhang, Yingfeng and Jia, Shun (2017) An investigation into reducing the spindle acceleration energy consumption of machine tools. Journal of Cleaner Production, 143, pp. 794-803. (doi: 10.1016/j.jclepro.2016.12.045)

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Farnsworth, Michael and Tiwari, Ashutosh (2017) A review of optimisation techniques used in the composite recycling area: state-of-the-art and steps towards a research agenda. Journal of Cleaner Production, 140, pp. 1775-1781. (doi: 10.1016/j.jclepro.2016.08.038)

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Dong, Haibo, Lohse, Niels and Petrovic, Sanja (2016) A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance. International Journal of Production Economics, 179, pp. 259-272. (doi: 10.1016/j.ijpe.2016.06.019)

Lv, Jingxiang, Tang, Renzhong, Jia, Shun and Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538 (2016) Experimental study on energy consumption of computer numerical control machine tools. Journal of Cleaner Production, 112, pp. 3864-3874. (doi: 10.1016/j.jclepro.2015.07.040)

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Dong, Haibo, Lohse, Niels and Petrovic, Sanja (2015) Reducing environmental impact of production during a Rolling Blackout policy: A multi-objective schedule optimisation approach. Journal of Cleaner Production, 102, pp. 418-427. (doi: 10.1016/j.jclepro.2015.04.038)

Liu, Ying ORCID: https://orcid.org/0000-0001-6216-5538, Dong, Haibo, Lohse, Niels, Petrovic, Sanja and Gindy, Nabil (2014) An investigation into minimising total energy consumption and total weighted tardiness in job shops. Journal of Cleaner Production, 65, pp. 87-96. (doi: 10.1016/j.jclepro.2013.07.060)