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Number of documents

22

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 Engineering, 93, 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 Research, 254(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 Economics, 46(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 Research, 251(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 Production, 140, 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 Statistics, 9(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 Engineering, 103, 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 Engineering, 101, 81-90.

Journal articles17 documents

  • Xing Liu, Feng Chu, Feifeng Zheng, Chengbin Chu, Ming Liu. Distributionally robust and risk-averse optimisation for the stochastic multi-product disassembly line balancing problem with workforce assignment. International Journal of Production Research, Taylor & Francis, 2022, 60 (6), pp.1973--1991. ⟨10.1080/00207543.2021.1881648⟩. ⟨hal-03140604⟩
  • Xin Liu, Feng Chu, Feifeng Zheng, Chengbin Chu, Ming Liu. Parallel machine scheduling with stochastic release times and processing times. International Journal of Production Research, Taylor & Francis, 2021, 59 (20), pp.6327--6346. ⟨10.1080/00207543.2020.1812752⟩. ⟨hal-02937348⟩
  • Xin Feng, Feng Chu, Chengbin Chu, yufei Huang. Crowdsource-enabled integrated production and transportation scheduling for smart city logistics. International Journal of Production Research, Taylor & Francis, 2021, 59 (7), pp.2157--2176. ⟨10.1080/00207543.2020.1808258⟩. ⟨hal-02936966⟩
  • Ming Liu, Zhongzheng Liu, Feng Chu, Feifeng Zheng, Chengbin Chu. A new robust dynamic Bayesian network approach for disruption risk assessment under the supply chain ripple effect. International Journal of Production Research, Taylor & Francis, 2021, 59 (1), pp.265-285. ⟨10.1080/00207543.2020.1841318⟩. ⟨hal-03028977⟩
  • Rongfan Liu, Ming Liu, Feng Chu, Feifeng Zheng, Chengbin Chu. Eco-friendly multi-skilled worker assignment and assembly line balancing problem. Computers & Industrial Engineering, Elsevier, 2021, 151, pp.106944. ⟨10.1016/j.cie.2020.106944⟩. ⟨hal-03015812⟩
  • Pingping Feng, ya Liu, Feng Wu, Chengbin Chu. Two heuristics for coordinating production planning and transportation planning. International Journal of Production Research, Taylor & Francis, 2018, 56 (21), pp.6872-6889. ⟨10.1080/00207543.2017.1351631⟩. ⟨hal-02194935⟩
  • Qingxian An, Min yang, Junfei Chu, Jie Wu, Qingyuan Zhu. Efficiency evaluation of an interactive system by data envelopment analysis approach. Computers & Industrial Engineering, Elsevier, 2017, 103, pp.17 - 25. ⟨10.1016/j.cie.2016.10.010⟩. ⟨hal-01760177⟩
  • Beibei Xiong, Jie Wu, Qingxian An, Junfei Chu, Liang Liang. Resource allocation of a parallel system with interaction consideration using a DEA approach: an application to Chinese input–output table. INFOR: Information Systems and Operational Research , Taylor & Francis, 2017, 56 (3), pp.298-316. ⟨10.1080/03155986.2017.1335046⟩. ⟨hal-03625282⟩
  • Zhaofu Hong, Chengbin Chu, yugang yu. Dual-mode production planning for manufacturing with emission constraints. European Journal of Operational Research, Elsevier, 2016, 251, pp.96-106. ⟨10.1016/j.ejor.2015.11.015⟩. ⟨hal-01273052⟩
  • Jie Wu, Qingyuan Zhu, Qingxian An, Junfei Chu, Xiang Ji. Resource allocation based on context-dependent data envelopment analysis and a multi-objective linear programming approach. Computers & Industrial Engineering, Elsevier, 2016, 101, pp.81-90. ⟨10.1016/j.cie.2016.08.025⟩. ⟨hal-03625279⟩
  • 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, 2016, 50 (4-5), pp.715-732. ⟨10.1051/ro/2015063⟩. ⟨hal-01273066⟩
  • 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, Taylor & Francis, 2016, 54 (12), pp.3591-3602. ⟨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, Taylor & Francis, 2015, 53 (4), pp.1143-1167. ⟨10.1080/00207543.2014.949363⟩. ⟨hal-01273041⟩
  • Jianguang Feng, Ada Che, Chengbin Chu. Dynamic hoist scheduling problem with multi-capacity reentrant machines: A mixed integer programming approach. Computers & Industrial Engineering, Elsevier, 2015, 87, pp.611-620. ⟨10.1016/j.cie.2015.06.004⟩. ⟨hal-01273070⟩
  • Ada Che, Jianguang Feng, Haoxun Chen, Chengbin Chu. Robust optimization for the cyclic hoist scheduling problem. European Journal of Operational Research, Elsevier, 2015, 240 (3), pp.627 - 636. ⟨10.1016/j.ejor.2014.06.047⟩. ⟨hal-01273061⟩
  • 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⟩

Conference papers4 documents

  • Zied Jemai, Maxime Claisse, Chengbin Chu. Production Planning under Uncertainties and Forecasts Updates. 3rd International Conference on Control, Decision and Information Technologies (CoDIT'16) , Apr 2016, Saint Julian's, Malta. ⟨hal-01672409⟩
  • Zied Jemai, Guillaume Goudenege, Chengbin Chu. Reusable containers management : From a generic model to an industrial case study. International Workshop on Green Supply Chain (GSC'2012), May 2012, Arras, France. ⟨hal-01672424⟩
  • Zied Jemai, Guillaume Goudenege, Chengbin Chu. Reverse Logistics Optimization : Application to Reusable Containers. International Conference on Industrial Engineering and Systems Management (IESM), May 2011, Metz, France. ⟨hal-01672428⟩
  • Mathieu Juan, Ahmed Souissi, Jean-Sébastien Bouillard, Imed Kacem, Chengbin Chu, et al.. Minimiser le makespan avec prise en compte d'indisponibilité sur une seule machine. ROADEF 2006, Feb 2006, Lille, France. ⟨hal-02477779⟩

Theses1 document

  • Junfei Chu. Improvement methods for data envelopment analysis (DEA) cross-efficiency evaluation. Other. Université Paris Saclay (COmUE); University of science and technology of China, 2018. English. ⟨NNT : 2018SACLC096⟩. ⟨tel-02015680⟩