Nombre de documents

9

Junfei CHU, PhD. candidate of Centralesupelec and USTC


Wu, J., Chu, J., Zhu, Q., Yin, P., & Liang, L. (2016). DEA cross-efficiency evaluation based on satisfaction degree: an application to technology selection. International Journal of Production Research, 1-18.

Wu, J., Chu, J., Zhu, Q., Li, Y., & Liang, L. (2016). Determining common weights in data envelopment analysis based on the satisfaction degree.Journal of the Operational Research Society.

Wu, J., Chu, J., Sun, J., Zhu, Q., & Liang, L. (2016). Extended secondary goal models for weights selection in DEA cross-efficiency evaluation.Computers & Industrial Engineering93, 143-151.

Wu, J., Chu, J., Sun, J., & Zhu, Q. (2016). DEA cross-efficiency evaluation based on Pareto improvement. European Journal of Operational Research,248(2), 571-579. (Wu, J, is the advisor of Junfei Chu in USTC)

Wu, J., Chu, J. F., & Liang, L. (2015). Target setting and allocation of carbon emissions abatement based on DEA and closest target: An application to 20 APEC economies. Natural Hazards, 1-18.

Wu, J., Chu, J., An, Q., Sun, J., & Yin, P. (2016). Resource reallocation and target setting for improving environmental performance of DMUs: An application to regional highway transportation systems in China.Transportation Research Part D: Transport and Environment.

Chu, J. F., Wu, J., & Song, M. L. (2016). An SBM-DEA model with parallel computing design for environmental efficiency evaluation in the big data context: a transportation system application. Annals of Operations Research, 1-20.

Chu, J., Wu, J., Zhu, Q., An, Q., & Xiong, B. (2016). Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition. Computational Economics, 1-23.

Wu, J., Yin, P., Sun, J., Chu, J., & Liang, L. (2016). Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspective. European Journal of Operational Research254(3), 1047-1062.

Wu, J., Zhu, Q., Chu, J., An, Q., & Liang, L. (2016). A DEA-based approach for allocation of emission reduction tasks. International Journal of Production Research, 1-16.

Wu, J., Zhu, Q., Chu, J., Liu, H., & Liang, L. (2015). Measuring energy and environmental efficiency of transportation systems in China based on a parallel DEA approach. Transportation Research Part D: Transport and Environment.

Wu, J., Zhu, Q., Chu, J., & Liang, L. (2015). Two-stage network structures with undesirable intermediate outputs reused: A DEA based approach.Computational Economics46(3), 455-477.

Wu, J., Zhu, Q., Ji, X., Chu, J., & Liang, L. (2016). Two-stage network processes with shared resources and resources recovered from undesirable outputs. European Journal of Operational Research251(1), 182-197.

Liu, H., Zhang, Y., Zhu, Q., & Chu, J. (2016). Environmental efficiency of land transportation in China: A parallel slack-based measure for regional and temporal analysis. Journal of Cleaner Production.

Liu, X., Chu, J., Yin, P., & Sun, J. (2016). DEA cross-efficiency evaluation considering undesirable output and ranking priority: a case study of eco-efficiency analysis of coal-fired power plants. Journal of Cleaner Production.

Liu, X., Zhu, Q., Chu, J., Ji, X., & Li, X. (2016). Environmental Performance and Benchmarking Information for Coal-Fired Power Plants in China: A DEA Approach. Computational Economics, 1-16.

Guo, X., Zhu, Q., Lv, L., Chu, J., & Wu, J. (2017). Efficiency evaluation of regional energy saving and emission reduction in China: A modified slacks-based measure approach. Journal of Cleaner Production140, 1313-1321.

Yu, Y. F., & Chu, J. F. (2016). Operating Efficiency Analysis of 24 Coal-Firms in China: An Application Based on Context-Dependent DEA.International Journal of Intelligent Technologies and Applied Statistics9(1), 19-36.

An, Q., Yang, M., Chu, J., Wu, J., & Zhu, Q. (2017). Efficiency evaluation of an interactive system by data envelopment analysis approach. Computers & Industrial Engineering103, 17-25.

Wu, J., Zhu, Q., An, Q., Chu, J., & Ji, X. (2016). Resource allocation based on context-dependent data envelopment analysis and a multi-objective linear programming approach. Computers & Industrial Engineering101, 81-90.


Article dans une revue9 documents

  • Zhaofu Hong, Chengbin Chu, Yugang Yu. Dual-mode production planning for manufacturing with emission constraints. European Journal of Operational Research (EJOR), Elsevier, 2016, 251, pp.96-106. <10.1016/j.ejor.2015.11.015>. <hal-01273052>
  • Ada Che, Jianguang Feng, Haoxun Chen, Chengbin Chu. Robust optimization for the cyclic hoist scheduling problem . European Journal of Operational Research (EJOR), Elsevier, 2015, 240 (3), pp.627 - 636. <hal-01273061>
  • Junheng Cheng, Feng Chu, Chengbin Chu, Weili Xia. Bi-objective optimization of single-machine batch scheduling under time-of-use electricity prices . RAIRO - Operations Research, EDP Sciences, 2015. <hal-01273066>
  • Ming Liu, Feng Chu, Zizhen Zhang, Chengbin Chu. A polynomial-time heuristic for the quay crane double-cycling problem with internal-reshuffling operations. Transportation Research Part E: Logistics and Transportation Review, Elsevier, 2015, 81, pp.52-74. <hal-01273057>
  • Jianguang Feng, Ada Che, Chengbin Chu. Dynamic hoist scheduling problem with multi-capacity reentrant machines: A mixed integer programming approach. Computers and Industrial Engineering, Elsevier, 2015, 87, pp.611-620. <hal-01273070>
  • Ming Liu, Shijin Wang, Chengbin Chu, Feng Chu. An improved exact algorithm for single-machine scheduling to minimise the number of tardy jobs with periodic maintenance. International Journal of Production Research, 2015, <10.1080/00207543.2015.1108535>. <hal-01273032>
  • Shijin Wang, Ming Liu, Chengbin Chu. A branch-and-bound algorithm for two-stage no-wait hybrid flow-shop scheduling. International Journal of Production Research, 2015, 53 (4), pp.1143-1167. <10.1080/00207543.2014.949363>. <hal-01273041>
  • Chung-Yee Lee, Ming Liu, Chengbin Chu. Optimal Algorithm for the General Quay Crane Double-Cycling Problem. Transportation Science, INFORMS, 2015, 49 (4), pp.957-967. <10.1287/trsc.2014.0563>. <hal-01340515>
  • Racem Mellouli, Imed Kacem, Cherif Sadfi, Chengbin Chu. Lagrangian relaxation and column generation-based lower bounds for the Pm, hj1 parallel to Sigma wiCi scheduling problem. Applied Mathematics and Computation, Elsevier, 2013, 219 (22), pp.10783-10805. <10.1016/j.amc.2013.05.004>. <hal-01267632>