[1] Li, Y., Zhang, Z. H., Xu, J., Yue, X.*, Zheng, L.*. Self-supervised production anomaly detection and progress prediction based on high-streaming videos, IEEE Transactions on Automation Science and Engineering (Accepted) (RT: Smart Production)
[2] Li, Y., Zhang, Z. H., Yue, X.*, Zheng, L.*. An unsupervised embedding method based on streaming videos for process monitoring in repetitive production systems,IISE Transactions, 1-16. (RT: Smart Production)
[3] Liu, X., Liang, J., Zhang, Z. H.*, Yang, S., Peukert, S., & Lanza, G. (2024). Project selection and scheduling with multiplicative enhancement effects and delay risk: an application in intelligent manufacturing technologies, IISE Transactions, 1–17.(RT: Smart Production)
[4] Liu, M., Meng, Q., Yu, G., Zhang, Z. H.* (2024). Fairness as a robust utilitarianism.Production and Operations Management (Accepted) (RT: Sustainable Operation Management)
[5] Liu, C., Tang, J., Zhang, Z. H.* (2024), Impacts of capacity redundancy and process flexibility on risk mitigation in e-waste recycling supply chain management, Omega: The International Journal of Management Science, 128, 103110 (RT: Sustainable Operation Management)
[6] Zhang, Y., Zhang, Z., Lu, W., Li, Y., Zhang, Z. H.* (2024), Research on data-driven optimization technology for pellet production process parameters (in Chinese), Frontiers of Science & Technology of Engineering Management (Accepted) (RT: Smart Production)
[7] Xu, J., Li, Q., Li, J., Zhang, Z. H.*, Zheng, L. (2024), Robust design of a green hydrogen supply chain under spatiotemporal imbalance. IEEE Transactions on Automation Science and Engineering (Accepted) (RT: Sustainable Operation Management)
[8] Gong, H., Zhang, Y., Zhang Z. H.* (2024). Training demand prediction models by decision error for two-stage lot-sizing problems. IEEE Transactions on Automation Science and Engineering, 21 (2), 1122-1137 (RT: Smart Production)
[9] Zhang, Y., Gemma Berenguer*, Zhang, Z. H. (2024), A subsidized reverse supply chain in the Chinese electronics industry. Omega: The International Journal of Management Science, 122, 102937 (OMEGA Best Papers Award for 2024) (RT: Sustainable Operation Management)
[10] Liu, K., Yang, Y.*, Zhao, Y., Zhang, Z. H. (2023), Multi-period stochastic programming for relief delivery considering evolving transportation network and temporary facility relocation/closure, Transportation Research Part E: Logistics and Transportation Review, 180, 103357 (RT: Relief/Healthcare Supply Chain)
[11] Liu, M., Zheng, L., Liu, C., Zhang, Z. H.* (2023). From share-of-choice to buyers' welfare maximization: bridging the gap through distributionally robust optimization. Production and Operations Management, 32, 1205–1222 (RT: Sustainable
[12] Huang, S., Liu, K., Zhang, Z. H.* (2023). Column-and-constraint-generation-based approach to a robust reverse logistic network design for bike sharing. Transportation Research Part B: Methodological, 173, 90-118 (RT: Sustainable Operation Management)
[13] Li, Q., Halit, Uster*, Zhang, Z. H. (2023). A bilevel model for robust network design and biomass pricing under farmers’ risk attitudes and supply uncertainty. Transportation Science, 57 (5), 1296-1320 (RT: Sustainable Operation Management)
[14] Li, Z., Zhang, Z. H.* (2023). Online machine learning algorithms with Wasserstein distance, SCIENTIA SINICA Technologica, 53 (7), 1031-1042 (in Chinese) (RT: Smart Production)
[15] Bai, B., Liu, T., Zhang, Y., Ren T., Zhang, Z. H.*, Dong, Z. (2023). Scheduling non permutation flowshop with finite buffers and two competitive agents. Computers & Industrial Engineering, 177, 108939 (RT: Scheduling)
[16] Bai, D., Diabat Ali, Wang, X., Yang, D., Fu, Y., Zhang, Z. H.*, Wu, C. (2022). Competitive bi-agent flowshop scheduling to minimize the weighted combination of makespans. International Journal of Production Research, 60:22, 6750-6771 (RT: Scheduling)
[17] Liang, J., Wu, Z., Zhu, C., Zhang, Z. H.* (2022). An estimation distribution algorithm for wave-picking warehouse management. Journal of Intelligent Manufacturing, 33, 929-942 (RT: Smart Production)
[18] Gong, H., Zhang, Z. H.* (2022). Benders decomposition for the distributionally robust optimization of pricing and reverse logistics network design in remanufacturing systems. European Journal of Operational Research, 297 (2), 496-510 (RT: Sustainable Operation Management)
[19] Liu, K.*, Zhang, H., Zhang, Z. H. (2021). The efficiency, equity and effectiveness of location strategies in humanitarian logistics: A robust chance-constrained approach. Transportation Research Part E: Logistics and Transportation Review, 156, 102521 (RT: Relief/Healthcare Supply Chain)
[20] Li, Na*, Jiang, Y., Zhang, Z. H. (2021). A two-stage ambiguous stochastic program for electric vehicle charging station location problem with valet charging service. Transportation Research Part B: Methodological, 153, 149-171 (RT: Sustainable Operation Management)
[21] Zhang, Y., Diabat Ali, Zhang, Z. H.* (2021). Reliable closed-loop supply chain design problem under facility-type-dependent probabilistic disruptions. Transportation Research Part B: Methodological, 146, 180-209 (RT: Sustainable Operation Management)
[22] Liang, J., Wang, Y., Zhang, Z. H.*, Sun, Y. (2019). Energy efficient production planning and scheduling problem with processing technology selection, Computers & Industrial Engineering, 132, 260-270 (RT: Sustainable Operation Management)
[23] Li, Qiaofeng, Liu, Kanglin, Zhang, Z. H.* (2019). Robust design of a strategic network planning for photovoltaic module recycling considering reclaimed resource price uncertainty. IISE Transactions, 51, 7, 691-708 (the Best Application Paper in the 2021 IISE Transactions Focus Issue on Design and Manufacturing) (RT: Sustainable Operation Management)
[24] Tian, X., Zhang, Z. H.* (2019). Capacitated disassembly scheduling and pricing of returned products with price-dependent yield. Omega: The International Journal of Management Science, 84, 160-174 (RT: Sustainable Operation Management)
[25] Liu, Kanglin, Li, Qiaofeng, Zhang, Z. H.* (2019). Distributionally robust optimization of an emergency medical service station location and sizing problem with joint chance constraints. Transportation Research Part B: Methodological, 119, 79-101 (RT: Relief/Healthcare Supply Chain)
[26] Zhang, Z. H., Gemma Berenguer*, Pan X. (2019). Location, inventory and testing decisions in closed-loop supply chains: A multimedia company. IISE Transactions, 51, 1, 41-56, (IISE Transactions 2020 Scheduling and Logistics Best Paper Honorary Mention) (RT: Sustainable Operation Management)
[27] Zhang, Yanzi, Zhang, Z. H.* (2019). Impact of the cannibalization effect between new and remanufactured products on supply chain design and operations. IISE Transactions, 51, 1, 22-40, (RT: Sustainable Operation Management)
[28] Chaher Alzaman, Zhang, Z. H., Ali Diabat* (2018). Supply chain network design with direct and indirect production costs: Hybrid gradient and local search based heuristics. International Journal of Production Economics,203, 203-215 (RT: Smart Production)
[29] Hamid Salamati*, Zhang Z. H., Omid Zarei, Reza Ramezanian (2018). Trade-off between the costs and the fairness for a collaborative production planning problem in make-to-order manufacturing. Computers & Industrial Engineering, 126, 421-434 (RT: Smart Production)
[30] Liu, K., Zhang, Z. H.*. (2018). Capacitated disassembly scheduling under stochastic yield and demand. European Journal of Operational Research, 269, 244-257 (RT: Sustainable Operation Management)
[31] Liu, C., Wang, C., Zhang, Z. H., Zheng, L.* (2018). Scheduling with job-splitting considering learning and the vital-few law. Computers & Operations Research, 90, 264-274. (RT: Scheduling)
[32] Bai, D., Tang, M., Zhang, Z. H.*, Santibanez-Gonzalez E. D. (2018). Flow shop learning effect scheduling problem with release dates. Omega: The International Journal of Management Science, 78, 21-38. (RT: Scheduling)
[33] Cheng, N.*, Zhang, Z. H., Huang, S., Zheng, L. (2018). Chinese consumer responses to carbon labeling: evidence from experimental auctions. Journal of Environmental Planning and Management, 61:13, 2319-2337 (RT: Sustainable Operation Management)
[34] Bai, D., Liang, J., Liu, B., Tang, M., Zhang, Z. H.* (2017), Permutation flow shop scheduling problem to minimize nonlinear objective function with release dates.Computers & Industrial Engineering, 112, 336-347. (RT: Scheduling)
[35] Bai, D., Zhang, Z. H.*, Zhang, Q., Tang, M. (2017). Open shop scheduling problem to minimize total weighted completion time. Engineering Optimization, 49, 98-112.(RT: Scheduling)
[36] Wang, C., Liu, C., Zhang, Z. H., Zheng, L.* (2016). Minimizing the total completion time for parallel machine scheduling with job splitting and learning. Computers & Industrial Engineering, 97, 170-180. (RT: Scheduling)
[37] Zhang, Z. H.*, Unnikrishnan, A. (2016). A coordinated location-inventory problem in closed-loop supply chain. Transportation Research Part B: Methodological, 89,127-148 (RT: Sustainable Operation Management)
[38] Qin, H., Zhang, Z. H.*, Bai, D. (2016). Permutation flowshop group scheduling with position-based learning effect. Computers & Industrial Engineering, 92, 1-15. (RT:Scheduling)
[39] Santibanez-Gonzalez, E. D., Sarkis, J., Dolgui, A., Koh, L., Govindan, K., Jin, M.,& Zhang, Z. (2016). Low carbon economy and equitable society: production, supply chain, and operations management perspectives. Journal of Cleaner Production,(117), 7-9. (RT: Sustainable Operation Management)
[40] Bai, D. *, Zhang, Z. H., & Zhang, Q. (2016). Flexible open shop scheduling problem to minimize makespan. Computers & Operations Research, 67, 207-215. (RT:Scheduling)
[41] Ji, X., Zhang, Z. H., Huang, S.*, & Li, L. (2016). Capacitated disassembly scheduling with parts commonality and start-up cost and its industrial application. International Journal of Production Research, 54 (4), 1225-1243. (RT: Sustainable Operation Management)
[42] Zhang, Z. H.*, & Li, K. (2015). A novel probabilistic formulation for locating and sizing emergency medical service stations. Annals of Operations Research, 229 (1),813-835. (RT: Relief/Healthcare Supply Chain)
[43] Movahed, K. K., & Zhang, Z. H.* (2015). Robust design of (s, S) inventory policy parameters in supply chains with demand and lead time uncertainties. International Journal of Systems Science, 46 (12), 2258-2268 (RT: Smart Production)
[44] Chen, X., Huang, S.*, Chen, D., Zhang, Z. H., Zheng, L., Grossmann, I., & Chen, S. (2014). Hierarchical Decomposition Approach for Crude Oil Scheduling: A SINOPEC Case. Interfaces, 44 (3), 269-285. (RT: Smart Production)
[45] Zhang, Z. H., Berenguer, G., & Shen, Z. J*. (2015). A capacitated facility location model with bidirectional flows. Transportation Science, 49 (1), 114-129 (RT: Sustainable Operation Management)
[46] Zhang, Z. H.*, Li, B. F., Qian, X., & Cai, L. N. (2014). An integrated supply chain network design problem for bidirectional flows. Expert Systems with Applications,41 (9), 4298-4308 (RT: Smart Production)
[47] Zhang, Z. H.*, & Bai, D. (2014). An extended study on an open-shop scheduling problem using the minimisation of the sum of quadratic completion times. Applied Mathematics and Computation, 230, 238-247. (RT: Scheduling)
[48] Pan, T., Zhang, Z. H.*, & Cao, H. (2014). Collaborative production planning with production time windows and order splitting in make-to-order manufacturing. Computers & Industrial Engineering, 67, 1-9. (RT: Smart Production)
[49] Bai, D.*, & Zhang, Z. H. (2014). Asymptotic optimality of shortest processing time based algorithms for flow shop and open shop problems with nonlinear objective functions. Engineering Optimization, 46 (12), 1709-1728. (RT: Scheduling)
[50] Zhang, Z. H.*, & Jiang, H. (2014). A robust counterpart approach to the bi-objective emergency medical service design problem. Applied Mathematical Modelling, 38 (3), 1033-1040. (RT: Relief/Healthcare Supply Chain)
[51] Bai, D.*, & Zhang, Z. H. (2014). On the asymptotic optimality and improved strategies of SPTB heuristic for open-shop scheduling problem. International Journal of Systems Science, 45 (8), 1657-1667. (RT: Scheduling)
[52] Guo, M., Li, B.*, Zhang, Z. H., Wu, S., & Song, J. (2013). Efficiency evaluation for allocating community-based health services. Computers & Industrial Engineering,65 (3), 395-401. (RT: Relief/Healthcare Supply Chain)
[53] Zhang, Z. H.*, Jiang, H., & Pan, X. (2012). A Lagrangian relaxation based approach for the capacitated lot sizing problem in closed-loop supply chain. International Journal of Production Economics, 140 (1), 249-255 (RT: Sustainable Operation Management)
[54] Zhang, C., Zhang, Z. H., Zheng, L.*, & Miao, L. (2011). A decision support system for the allocation of yard cranes and blocks in container terminals. Asia-Pacific Journal of Operational Research, 28 (06), 803-829
[55] Zhang, C., Zheng, L.*, Zhang, Z. H., Shi, L., & Armstrong, A. J. (2010). The allocation of berths and quay cranes by using a sub-gradient optimization technique. Computers & Industrial Engineering, 58 (1), 40-50
[56] Wang, S., Zheng, L.*, & Zhang, Z. H. (2010). Decomposition Algorithms for the Interval Scheduling Problem. Asia-Pacific Journal of Operational Research, 27 (04), 517-537
[57] Zheng, L.*, Yang, X. M., Zhang, Z. H., & Liu, T. I. (2008). A web-based machining parameter selection system for life cycle cost reduction and product quality enhancement. Computers in Industry, 59 (2), 254-261
[58] Liu, S. G.*, Zheng, L., Zhang, Z. H., Li, Z. Z., & Liu, D. C. (2007). Optimization of the number and positions of fixture locators in the peripheral milling of a low-rigidity workpiece. The International Journal of Advanced Manufacturing
Technology, 33 (7-8), 668-676
[59] Liu, S. G., Zheng, L.*, Zhang, Z. H., & Wen, D. H. (2006). Optimal fixture design inperipheral milling of thin-walled workpiece. The International Journal of Advanced Manufacturing Technology, 28 (7-8), 653-658
[60] Zhang, Z. H., Zheng, L.*, Zhang, L., Li, Z., Liu, D., & Zhang, B. (2005). A study on calibration of coefficients in end milling forces model. The International Journal of Advanced Manufacturing Technology, 25 (7-8), 652-662
[61] Li, Z. Z.*, Zhang, Z. H., & Zheng, L. (2004). Feedrate optimization for variant milling process based on cutting force prediction. The International Journal of Advanced Manufacturing Technology, 24 (7-8), 541-552
[62] Zhang, Z. H., Zheng, L.*, Li, Z., Liu, D., Zhang, L., & Zhang, B. (2003). A cutting force model for a waved-edge end milling cutter. The International Journal of Advanced Manufacturing Technology, 21 (6), 403-410
[63] Zhang, L.*, Zheng, L., Zhang, Z. H., Liu, Y., & Li, Z. Z. (2002). On cutting forces in peripheral milling of curved surfaces. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 216 (10), 1385-1398