2024

Yang, J., Wang, F., Dun, Y., Huang, Z., Zhang, A. and Liu, Y. (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, J. and Liu, Y. (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, L., Yang, J. and Liu, Y. (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, H., Lv, S., Yang, Z. and Liu, Y. (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, Z., Zhang, Y., Lv, J., Liu, Y. and Liu, Y. (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, J. and Liu, Y. (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, X., Zhou, J., Lin, Y., Li, Y., Yu, H. and Liu, Y. (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, X., Liu, Y. , Lohse, N., De Pessemier, T., Martens, L. and Joseph, W. (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, Y., Guo, Z., Lv, J. and Liu, Y. (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, J., Tang, R., Tang, W., Jia, S., Liu, Y. and Cao, Y. (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, Y. , Farnsworth, M. and Tiwari, A. (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, L., Tang, R., Liu, Y. , Cao, Y. and Tiwari, A. (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, L., Liu, Y. , Lohse, N., Tang, R., Lv, J., Peng, C. and Evans, S. (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, S., Yuan, Q., Lv, J., Liu, Y. , Ren, D. and Zhang, Z. (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, Y., Qian, C., Lv, J. and Liu, Y. (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, L., Peng, C., Evans, S., Peng, T., Liu, Y. , Tang, R. and Tiwari, A. (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, J., Tang, R., Tang, W., Liu, Y. , Zhang, Y. and Jia, S. (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, Y. , Farnsworth, M. and Tiwari, A. (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, Y. , Dong, H., Lohse, N. and Petrovic, S. (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, J., Tang, R., Jia, S. and Liu, Y. (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, Y. , Dong, H., Lohse, N. and Petrovic, S. (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, Y. , Dong, H., Lohse, N., Petrovic, S. and Gindy, N. (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

Yang, J., Wang, F., Dun, Y., Huang, Z., Zhang, A. and Liu, Y. (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, J. and Liu, Y. (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, L., Yang, J. and Liu, Y. (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, H., Lv, S., Yang, Z. and Liu, Y. (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, Z., Zhang, Y., Lv, J., Liu, Y. and Liu, Y. (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, J. and Liu, Y. (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, X., Zhou, J., Lin, Y., Li, Y., Yu, H. and Liu, Y. (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, X., Liu, Y. , Lohse, N., De Pessemier, T., Martens, L. and Joseph, W. (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, Y., Guo, Z., Lv, J. and Liu, Y. (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, J., Tang, R., Tang, W., Jia, S., Liu, Y. and Cao, Y. (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, Y. , Farnsworth, M. and Tiwari, A. (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, L., Tang, R., Liu, Y. , Cao, Y. and Tiwari, A. (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, L., Liu, Y. , Lohse, N., Tang, R., Lv, J., Peng, C. and Evans, S. (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, S., Yuan, Q., Lv, J., Liu, Y. , Ren, D. and Zhang, Z. (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, Y., Qian, C., Lv, J. and Liu, Y. (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, L., Peng, C., Evans, S., Peng, T., Liu, Y. , Tang, R. and Tiwari, A. (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, J., Tang, R., Tang, W., Liu, Y. , Zhang, Y. and Jia, S. (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, Y. , Farnsworth, M. and Tiwari, A. (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, Y. , Dong, H., Lohse, N. and Petrovic, S. (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, J., Tang, R., Jia, S. and Liu, Y. (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, Y. , Dong, H., Lohse, N. and Petrovic, S. (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, Y. , Dong, H., Lohse, N., Petrovic, S. and Gindy, N. (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)