SCI论文：
[1] W.Qin, D.Zha, and J.Zhang. An effective approach for causal variables analysis in diesel engine production by using mutual information and network deconvolution [J]. Journal of Intelligent Manufacturing. 2018, https://doi.org/10.1007/s10845-018-1397-8
[2] W.Qin, J.Zhang, and D.L.Song. An improved ant colony algorithm for dynamic hybrid flow shop scheduling with uncertain processing time [J]. Journal of Intelligent Manufacturing. 2018, 29(4): 891-904.
[3] W.Qin, Ray.Y.Zhong, H.Y.Dai, and Z.L.Zhuang. An Assessment Model for RFID Impacts on Prevention and Visibility of Inventory Inaccuracy Presence [J]. Advanced Engineering Informatics. 2017, 34: 70-79.
https://doi.org/10.1007/s10845-015-1144-3.
[4] W.Qin, J.Zhang, and Y.B.Sun. Multiple-objective scheduling for interbay AMHS by using genetic-programming-based composite dispatching rules generator [J]. Computers in Industry. 2013, 64(6): 694-707.
[5] W.Qin, J.Zhang, and Y.B.Sun. Dynamic dispatching for interbay material handling by using modified Hungarian algorithm and fuzzy-logic-based control [J]. International Journal of Advanced Manufacturing Technology. 2013, 67(1): 295-309.
[6] W.Qin, and Geroge.Q.Huang. A Two-Level Genetic Algorithm for Scheduling in Assembly Islands with Fixed-Position Layouts [J]. Journal of System Science and System Engineering. 2010, 19(2): 150-161.
[7] J.Zhang, W.Qin, L.H.Wu, and W.B.Zhai. Fuzzy neural network-based rescheduling decision mechanism for semiconductor manufacturing [J]. Computers in Industry. 2014, 65:1115-1125.
[8] J.Zhang, W.Qin, and L.H.Wu. A performance analytical model of automated material handling system for semiconductor wafer fabrication system [J]. International Journal of Production Research. 2015, 54(6): 1650-1669.
[9] P.Jahanshahi, W.Qin, and etc. Kinetic analysis of IgM monoclonal antibodies for determination of dengue sample concentration using SPR technique [J]. Bioengineered. 2015, 8(3): 239-247.
[10] J.L.Wang, P.Zheng, W.Qin, T.D.Li, J.Zhang. A novel resilient scheduling paradigm integrating operation and design for manufacturing systems with uncertainties [J]. Enterprise Information Systems. https://doi.org/10.1080/17517575.2018.1526322.
[11] Y.L.Lv, J.Zhang, W.Qin. A Genetic Regulatory Network-Based Method for Dynamic Hybrid Flow Shop Scheduling with Uncertain Processing Times [J]. Applied Sciences-Basel. 2017, 7(1): 18.
[12] Y.L.Lv, J.Zhang, W.Qin. A genetic regulatory network-based sequencing method for mixed-model assembly lines [J]. Advances in Production Engineering & Management. 2017, 12(1): 62-74.
[13] C.Pan, J.Zhang, W.Qin. Real-time OHT Dispatching Mechanism for the Interbay Automated Material Handling System with Shortcuts and Bypasses [J]. Chinese Journal of Mechanical Engineering. 2017, 30(3): 663-675.
中文论文：
[1] 张洁, 高亮, 秦威,等. 大数据驱动的智能车间运行分析与决策方法体系[J]. 计算机集成制造系统, 2016, 22(5):1220-1228.
[2] 张洁, 潘聪, 孙寅斌, 吴立辉, 秦威,等. 基于改进匈牙利算法和模糊逻辑控制的Interbay物料运输系统调度方法[J]. 上海交通大学学报, 2016, 50(5):647-653.
[3] 张洁, 潘聪, 秦威,等. 基于复合规则的Interbay物料运输系统多目标调度方法[J]. 计算机集成制造系统, 2016, 22(8):1965-1976.
[4] 周亚平, 张洁, 秦威. 大型航天薄壁结构件特征识别方法[J]. 计算机集成制造系统, 2016, 22(11):2505-2512.
[5] 汪俊亮, 秦威, 张洁. 基于数据挖掘的晶圆制造交货期预测方法[J]. 中国机械工程, 2016, 27(1):105-108.
[6] 杨俊刚, 张洁, 秦威,等. 面向半导体制造的大数据分析平台[J]. 计算机集成制造系统, 2016, 22(12):2900-2910.
[7] 张洁, 秦威, 宋代立. 考虑工时不确定的混合流水车间滚动调度方法[J]. 机械工程学报, 2015, 51(11):99-108.
[8] 汪俊亮, 张洁, 秦威,等. 加工时间不确定的柔性作业车间鲁棒调度方法[J]. 中国机械工程, 2015, 26(5):627-632.
专著：
[1] Jie Zhang, Wei Qin, Lihui Wu, Junliang Wang, Youlong Lv and Xiaoxi Wang. Wafer Fabrication: Automatic Materiel Handling System [M]. Walter de Gruyter GmbHr, 2018.
[2] 张洁, 秦威. 制造系统智能调度方法与云服务 [M]. 华中科技大学出版社, 2018.
[3] 张洁, 秦威, 鲍劲松. 制造业大数据 [M]. 上海科学技术出版社, 2016.
[4] 张洁, 秦威, 吴立辉. 晶圆制造自动化物料运输系统调度 [M]. 华中科技大学出版社, 2015.
