鞠彥兵
一、個(gè)人簡(jiǎn)況
鞠彥兵，偉德國(guó)際1946bv官網(wǎng)教授，博士生導(dǎo)師，教育部新世紀(jì)優(yōu)秀人才。任中國(guó)系統(tǒng)仿真學(xué)會(huì)離散系統(tǒng)仿真專業(yè)委員會(huì)理事，中國(guó)系統(tǒng)工程學(xué)會(huì)應(yīng)急管理專業(yè)委員會(huì)委員，中國(guó)“雙法”學(xué)會(huì)智能決策博弈分會(huì)委員。入選2022年?2024年全球前2%頂尖科學(xué)家（World's Top 2% Scientists）“終身科學(xué)影響力”排行榜；入選2020年?2024年全球前2%頂尖科學(xué)家“年度科學(xué)影響力”排行榜。研究興趣包括企業(yè)信息化、企業(yè)流程優(yōu)化、風(fēng)險(xiǎn)管理、IT項(xiàng)目管理、大數(shù)據(jù)及服務(wù)運(yùn)營(yíng)管理、面向數(shù)字社會(huì)治理與智能決策技術(shù)、大群體多屬性群決策理論及應(yīng)用、復(fù)雜系統(tǒng)仿真建模及優(yōu)化、突發(fā)事件應(yīng)急管理、物流系統(tǒng)建模與仿真等。作為訪問(wèn)學(xué)者，曾在德國(guó)卡爾斯魯厄理工大學(xué)（2006.10-2007.4）、美國(guó)匹茲堡大學(xué)（2011.8-2012.8）、法國(guó)南特高等商學(xué)院（2016.1-2016.4）等國(guó)外知名大學(xué)從事學(xué)術(shù)交流。
主持完成科研項(xiàng)目20多項(xiàng)，其中包括國(guó)家自然科學(xué)基金面上項(xiàng)目2項(xiàng)，北京市自然科學(xué)基金項(xiàng)目、教育部人文社科基金項(xiàng)目及國(guó)家留學(xué)基金委留學(xué)歸國(guó)人員科技活動(dòng)擇優(yōu)資助項(xiàng)目各1項(xiàng)，中國(guó)兵器科學(xué)研究院、中國(guó)民用航空總局、中國(guó)船舶工業(yè)綜合技術(shù)經(jīng)濟(jì)研究院、北京賽迪時(shí)代信息產(chǎn)業(yè)股份有限公司等單位立項(xiàng)項(xiàng)目多項(xiàng)。作為主要參加人參加國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目2項(xiàng)。出版學(xué)術(shù)專著2部，譯著1部，參編教材1部。在《Computers & Industrial Engineering》、《Transactions on Engineering Management》、《IEEE Transactions on Fuzzy Systems》、《Information Sciences》、《International Journal of Production Research》、《Applied Mathematical Modelling》、《Journal of the Operational Research Society》、《Information Fusion》、《Applied Soft Computing》、《International Journal of Fuzzy Systems》、《Soft Computing》、《Journal of Business Research》、《系統(tǒng)工程理論與實(shí)踐 》、《運(yùn)籌與管理》、《系統(tǒng)仿真學(xué)報(bào)》等國(guó)內(nèi)外重要學(xué)術(shù)期刊和會(huì)議發(fā)表論文170余篇，其中SCI/SSCI收錄論文100多篇。獲中國(guó)民用航空協(xié)會(huì)科學(xué)技術(shù)三等獎(jiǎng)、全國(guó)高校新能源汽車大數(shù)據(jù)創(chuàng)新創(chuàng)業(yè)大賽優(yōu)秀指導(dǎo)教師獎(jiǎng)及偉德國(guó)際1946bv官網(wǎng)優(yōu)秀教學(xué)成果二等獎(jiǎng)等獎(jiǎng)項(xiàng)。
主講本科生課程《管理系統(tǒng)計(jì)算機(jī)仿真》及《管理運(yùn)籌學(xué)》；碩士生課程《離散事件系統(tǒng)仿真》及《物流系統(tǒng)建模與仿真》；博士生課程《復(fù)雜系統(tǒng)建模與仿真》。
二、代表性論文和著作
[1] Yanbing Ju, Yanxin Xu, et al. A novel approach to multi-attribute group decision-making: optimistic and pessimistic three-state three-way decision models. Applied Soft Computing, 已錄用。
[2] Han Wang, Yanbing Ju, et al. Energy internet project evaluation in circular economy practices: A novel MCDM framework with flexible linguistic expressions based on multi-granularity cloud-rough set. Computers & Industrial Engineering, 已錄用。
[3] Yuanyuan Liang, Yanbing Ju, et al. Complex intuitionistic fuzzy trust propagation-based bilayer coupled social network group consensus model with opinion evolution. International Journal of Fuzzy Systems, 已錄用。
[4] Yanxin Xu, Yanbing Ju, et al. A utility-based three-way group decision consensus model with overlapping subgroups. Information Sciences, 2024, 678: 120904. (SCI)
[5] Yanxin Xu, Yanbing Ju, et al. Improving consensus in social network group decision-making: emphasizing overlapping subgroups and interactive behaviors. Information Sciences, 2024, 679: 121065. (SCI)
[6] Yuanyuan Liang, Yanbing Ju, et al. Hesitant fuzzy linguistic preference consistency-driven consensus model with large-scale group interaction measure for venture capital investment selection. Applied Soft Computing, 2024, 167: 112453. (SCI)
[7] Yuanyuan Liang, Yanbing Ju, et al. A user-generated content-based social network large-scale group decision-making approach in healthcare service: Case study of general practitioners selection in UK. Expert Systems with Applications, 2025, 261: 125542. (SCI)
[8] Ali Hashemizadeh, Yanbing Ju, et al. Policy design for renewable energy development based on government support: A system dynamics model. Applied Energy, 2024, 376: 124331. (SCI)
[9] Yanbing Ju, Qian Zhao, et al. A novel framework for FMEA using evidential BWM and SMAA-MARCOS method. Expert Systems with Applications, 2024, 243, 122796. (SCI)
[10] Yanxin Xu, Yanbing Ju, et al. Addressing multi-attribute large-scale group decision making with overlapping subgroups: A bidirectional adjustment consensus reaching method for heterogeneous decision makers. Computers & Industrial Engineering, 2024, 193: 110260. (SCI)
[11] Fan Zhang, Yanbing Ju. TrPFZ2TLV-based decision-making frameworks for site selection of large-scale solar photovoltaic power plants. Transactions on Engineering Management, 2024, 71: 8075-8087. (SCI/SSCI)
[12] Han Wang, Yanbing Ju, et al. Preference-based regret three-way decision method on multiple decision information systems with linguistic Z-numbers. Information Sciences, 2024, 654: 119861. (SCI)
[13] Han Wang, Yanbing Ju, et al. Multi-criteria sequential three-state three-way decision consensus model based on set pair analysis theory. Information Sciences, 2024, 661: 120199. (SCI)
[14] Wanzhen Qiao, Yanbing Ju, et al. How to realize value creation of digital transformation? A system dynamics model. Expert Systems with Applications, 2024, 244: 122667. (SCI)
[15] Yuwei Kang, Peiwu Dong, Yanbing Ju, et al. Differential game theoretic analysis of the blockchain technology investment and carbon reduction strategy in digital supply chain with government intervention. Computers & Industrial Engineering, 2024, 189: 109953. (SCI/SSCI)
[16] Han Wang, Yanbing Ju, et al. A social network group decision making framework with opinion dynamics considering opinion reliability. Computers & Industrial Engineering, 2023, 183: 109523. (SCI/SSCI)
[17] Yingying Liang, Yanbing Ju, et al. Minimum cost consensus model with altruistic preference. Computers & Industrial Engineering, 2023, 179: 109229. (SCI/SSCI)
[18] Min Zhu, Peiwu Dong, Yanbing Ju, et al. Effects of government subsidies on heavy-duty hydrogen fuel cell truck penetration: A scenario-based system dynamics model. Energy Policy, 2023, 183: 113809. (SSCI/SSCI)
[19] Yingying Liang, Yanbing Ju, et al. Minimum cost consensus model with loss aversion based large-scale group decision making. Journal of the Operational Research Society, 2023, 74(7): 1712-1729. (SCI/SSCI)
[20] Yuanyuan Liang, Yanbing Ju, et al. A sentiment analysis-based two-stage consensus model of large-scale group with core-periphery structure. Information Sciences, 2022, 622: 808-841. (SCI)
[21] Yuanyuan Liang, Yanbing Ju, et al. Sustainable evaluation of energy storage technologies for wind power generation: A multistage decision support framework under multi-granular unbalanced hesitant fuzzy linguistic environment. Applied Soft Computing, 2022, 131: 109768. (SCI)
[22] Yingying Liang, Yanbing Ju, et al. Nonadditive best-worst method: Incorporating criteria interaction using the Choquet integral. Journal of the Operational Research Society, 2022, 74(6): 1495-1506. (SCI/SSCI)
[23] Qian Zhao, Yanking Ju, et al. SMAA-Bi-Capacity-Choquet-Regret model for heterogeneous linguistic MCDM with interactive criteria with bipolar scale and 2-tuple aspirations. IEEE Transactions on Fuzzy Systems, 2022, 30 (10): 4384-4398. (SCI)
[24] Qian Zhao, Yanbing Ju, et al. TWD-based SMAA model: A novel stochastic three-way decision with interrelated attributes in triangular fuzzy information system. Information Sciences, 2022, 618: 14-38. (SCI)
[25] Yingying Liang, Yanbing Ju, et al. A multi-granular linguistic distribution-based group decision making method for renewable energy technology selection. Applied Soft Computing, 2022, 116: 108379. (SCI)
[26] Tianyu Zhang, Peiwu Dong, Yongchao, Zeng, Yanbing Ju. Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model. Journal of Business Research, 2022, 139: 90-105. (SCI)
[27] Hengxia Gao, Yanbing Ju, et al. Identifying critical causal criteria of green supplier evaluation using heterogeneous judgements: An integrated approach based on cloud model and DEMATEL. Applied Soft Computing, 2021, 113: 107882. (SCI)
[28] Hengxia Gao, Yanbing Ju, et al. Satisfaction-driven consensus model for social network MCGDM with incomplete information under probabilistic linguistic trust. Computers & Industrial Engineering, 2021, 154: 107099. (SCI/SSCI)
[29] Yingying Liang, Yanbing Ju, et al. Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment. Information Fusion, 2021, 65: 147-164. (SCI/SSCI)
[30] Chao Luo, Yanbing Ju, et al. A novel methodology to select sustainable municipal solid waste management scenarios from three-way decision perspective. Journal of Cleaner Production, 2021, 280: 124312. (SCI)
[31] Chao Luo, Yanbing Ju, et al. Risk assessment for PPP waste-to-energy incineration plant projects in china based on hybrid weight methods and weighted multigranulation fuzzy rough sets. Sustainable Cities and Society, 2021, 74: 103120. (SCI/SSCI)
[32] Ali Hashemizadeh, Yanbing Ju, et al. Renewable energy investment risk assessment in belt and road initiative countries under uncertainty conditions. Energy, 2021, 214: 1189236. (SCI)
[33] Ali Hashemizadeh, Yanbing Ju. Optimizing renewable energy portfolios with a human development approach by fuzzy interval goal programming. Sustainable Cities and Society, 2021, 75: 103396. (SCI/SSCI)
[34] Yanbing Ju，Yuanyuan Liang, et al. A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information. Computers & Industrial Engineering, 2020, 148: 106659. (SCI)
[35] Yanbing Ju，Yuanyuan Liang, et al. A new framework for health-care waste disposal alternative selection under multi-granular linguistic distribution assessment environment. Computers & Industrial Engineering, 2020, 145: 106659. (SCI)
[36] Yanbing Ju, Yuanyuan Liang, et al. T-spherical fuzzy TODIM method for multi-criteria group decision-making problem with incomplete weight information. Soft Computing, 2020, 25(4): 2981-3001. (SCI)
[37] Yanbing Ju，Dawei Ju, et al. A note on ‘Picture 2-tuple linguistic aggregation operators in multiple attribute decision making’. Soft Computing, 2020, 24(6): 3937-3941. (SCI)
[38] Yanbing Ju, Aihua Wang, et al. Some q-rung orthopair fuzzy 2-tuple linguistic Muirhead mean aggregation operators and their applications to multiple-attribute group decision making. International Journal of Intelligent Systems, 2020, 35(1): 184-213. (SCI)
[39] Hengxia Gao, Yanbing Ju, et al. Green supplier selection in electronics manufacturing: An approach based on consensus decision making. Journal of Cleaner Production, 2020, 245: 118781. (SCI/SSCI)
[40] Chao Luo, Yanbing Ju, et al. The waste-to-energy incineration plant site selection based on hesitant fuzzy linguistic Best-Worst method ANP and double parameters TOPSIS approach: A case study in China. Energy, 2020, 211: 118564. (SCI)
[41] Fan Zhang, Yanbing Ju, et al. SNA-based multi-criteria evaluation of multiple construction equipment: A case study of loaders selection. Advanced Engineering Informatics, 2020, 44: 101056. (SCI)
[42] Fan Zhang, Yanbing Ju, et al. A fuzzy evaluation and selection of construction and demolition waste utilization modes in Xi'an, China. Waste Management & Research, 2020, 38(7): 792-801. (SCI)
[43] Dawei Ju, Yanbing Ju, et al. Multi-attribute group decision making based on power generalized Heronian mean operator under hesitant fuzzy linguistic environment. Soft Computing, 2019, 23(11): 3823-3842. (SCI)
[44] Bingxiu Gui, Yanbing Ju, et al. Mapping technological development using patent citation trees: an analysis of bogie technology. Technology Analysis & Strategic Management, 2019, 31(2): 213-226. (SSCI/SSCI)
[45] Hengxia Gao, Dandan Wang, Ernesto D.R.Santibanez Gonzalez, Yanbing Ju. Optimal stocking strategies for inventory mechanism with a stochastic short-term price discount and partial backordering. International Journal of Production Research, 2019, 57(24): 7471-7500. (SCI)
[46] Yanbing Ju, Dawei Ju, et al. Study of site selection of electric vehicle charging station based on extended GRP method under picture fuzzy environment. Computers & Industrial Engineering, 2019, 135: 1271-1285. (SCI)
[47] Yanbing Ju, Chao Luo, et al. Some interval-valued q-rung orthopair weighted averaging operators and their applications to multiple-attribute decision making. International Journal of Intelligent Systems, 2019, 34(10): 2584-2606. (SCI)
[48] Yanbing Ju, Chao Luo, et al. A novel multiple-attribute group decision-making method based on q-rung orthopair fuzzy generalized power weighted aggregation operators. International Journal of Intelligent Systems, 2019, 34(9): 2077-2103. (SCI)
[49] Yingying Liang, Yan Tu, Yanbing Ju, Wenjing Shen. A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making. International Journal of Disaster Risk Reduction, 2019, 36: 101081. (SCI)
[50] Xiaoyue Liu, Yanbing Ju. Hesitant fuzzy 2-dimension linguistic term set and its application to multiple attribute group decision making. International Journal of Fuzzy Systems, 2018, 20(7): 2301-2321. (SCI)
[51] Yanbing Ju, Dawei Ju, et al. GRP method for multiple attribute group decision making under trapezoidal interval type-2 fuzzy environment. Journal of Intelligent & Fuzzy Systems, 2017, 33(6): 3469-3482. (SCI)
[52] Wenkai Zhang, Yanbing Ju, Xiaoyue Liu. Multiple criteria decision analysis based on Shapley fuzzy measures and interval-valued hesitant fuzzy linguistic numbers. Computers & Industrial Engineering, 2017, 105: 28-38. (SCI)
[53] Wenkai Zhang, Yanbing Ju, et al. The SMAA-TODIM approach: Modeling of preferences and a robustness analysis framework. Computers & Industrial Engineering, 2017, 114: 130-141. (SCI/SSCI)
[54] Wenkai Zhang, Yanbing Ju, Xiaoyue Liu, Mihalis Giannakis. A mathematical programming-based method for heterogeneous multicriteria group decision analysis with aspirations and incomplete preference information. Computers & Industrial Engineering, 2017, 113: 541-557. (SCI/SSCI)
[55] Wenkai Zhang, Yanbing Ju, Xiaoyue Liu. Interval-valued intuitionistic fuzzy programming technique for multicriteria group decision making based on Shapley values and incomplete preference information. Soft Computing, 2017, 21(19): 5787-5804. (SCI/SSCI)
[56] Yanbing Ju, Xiaoyue Liu, Aihua Wang. Some new Shapley 2-tuple linguistic Choquet aggregation operators and their applications to multiple attribute group decision making. Soft Computing, 2016, 20(10): 4037-4053. (SCI)
[57] Yanbing Ju, Xiaoyue Liu, Dawei Ju. Some new intuitionistic linguistic aggregation operators based on Maclaurin symmetric mean and their applications to multiple attribute group decision making. Soft Computing, 2016, 20(11): 4521-4548. (SCI)
[58] Xiaoyue Liu, Yanbing Ju, Shanghong Yang. Some generalized interval-valued hesitant uncertain linguistic aggregation operators and their applications to multiple attribute group decision making. Soft Computing, 2016, 20(2): 495-510.（SCI）
[59] Yanbing Ju, Aihua Wang, Tianhui You. Emergency alternative evaluation and selection based on ANP, DEMATEL, and TL-TOPSIS. Natural Hazards, 2015, 75: 347-379. (SCI/SSCI)
[60] Yanbing Ju, Shanghong Yang. A new method for multiple attribute group decision-making with intuitionistic trapezoid fuzzy linguistic information. Soft Computing, 2015, 19(8): 2211-2224.（SCI）
[61] Yanbing Ju. A new method for multiple criteria group decision making with incomplete weight information under linguistic environment. Applied Mathematical Modelling, 2014, 38(21-22): 5256-5268. (SCI)
[62] Yanbing Ju, Xiaoyue Liu, Shanghong Yang. Trapezoid fuzzy 2-tuple linguistic aggregation operators and their applications to multiple attribute decision making. Journal of Intelligent & Fuzzy Systems, 2014, 27(3): 1219-1232. (SCI)
[63] Yanbing Ju, Xiaoyue Liu, Shanghong Yang. Interval-valued dual hesitant fuzzy aggregation operators and their applications to multiple attribute decision making. Journal of Intelligent & Fuzzy Systems, 2014, 27(3): 1203-1218. (SCI)
[64] Yanbing Ju, Shanghong Yang. Approaches for multi-attribute group decision making based on intuitionistic trapezoid fuzzy linguistic power aggregation operators. Journal of Intelligent & Fuzzy Systems, 2014, 27(2): 987-1000. (SCI)
[65] Yanbing Ju, Xiaoyue Liu, Dawei Ju. Some aggregation operators with intuitionistic trapezoid fuzzy linguistic information and their applications to multi-attribute group decision making. Applied Mathematics & Information Sciences, 2014, 8(5): 2427-2436. (SCI)
[66] Yanbing Ju, Shanghong Yang, Xiaoyue Liu. Some new dual hesitant fuzzy aggregation operators based on Choquet integral and their applications to multiple attribute decision making. Journal of Intelligent & Fuzzy Systems, 2014, 27(6): 2857-2868. (SCI)
[67] Yanbing Ju, Shanghong Yang, Xiaoyue Liu. A novel method for multiattribute decision making with dual hesitant fuzzy triangular linguistic information. Journal of Applied Mathematics, 2014: 909823. (SCI)
[68] Yanbing Ju, Aihua Wang. Extension of VIKOR method for multi-criteria group decision making problem with linguistic information. Applied Mathematical Modelling, 2013, 37(5): 3112-3125. (SCI)
[69] Yanbing Ju, Aihua Wang. Projection method for multiple criteria group decision making with incomplete weight information in linguistic setting. Applied Mathematical Modelling, 2013, 37(20-21) : 9031-9040. (SCI)
[70] Yanbing Ju, Aihua Wang, Xiaoyue Liu. Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach. Expert systems with Applications, 2012, 39(8): 6972-6981. (SCI)
[71] Yanbing Ju, Aihua Wang. Emergency alternative evaluation under group decision makers: A method of incorporating DS/AHP with extended TOPSIS. Expert systems with Applications, 2012, 39(1): 1315-1323.（SCI）
[72] 楊尚洪, 鞠彥兵．基于對(duì)偶猶豫模糊語(yǔ)言變量的多屬性決策方法. 運(yùn)籌與管理, 2015, 24(5): 91-96.
[73] 鞠彥兵,劉建昌. 網(wǎng)絡(luò)層次分析法原理及其應(yīng)用——基于利益、機(jī)會(huì)、成本及風(fēng)險(xiǎn)的決策方法(譯著), 2014. 原著為著名運(yùn)籌學(xué)家、美國(guó)工程院院士Thomas L. Saaty的著作：Theory and Applications of the Analytic Network Process─Decision making with Benefits, Opportunities, Costs, and Risks. 2009, RWS Publications, 4922 Ellsworth Avenue, Pittsburgh.
[74] 鞠彥兵.模糊環(huán)境下應(yīng)急管理評(píng)價(jià)方法及應(yīng)用(專著), 2013.
[75] 鞠彥兵, 王愛(ài)華．基于貝葉斯網(wǎng)絡(luò)的突發(fā)事件影響度研究. 自然災(zāi)害學(xué)報(bào), 2011, 20(5): 40-46.
[76] 鞠彥兵，王愛(ài)華．突發(fā)事件影響度評(píng)價(jià)研究, 兵工學(xué)報(bào), 2009, 30: 152-155.
[77] 葛芳, 鞠彥兵,袁寶軍, 張國(guó)伍．基于廣義隨機(jī)Petri網(wǎng)的應(yīng)急救援車輛優(yōu)先模型研究. 系統(tǒng)工程理論與實(shí)踐，2009, 29(6): 184-192.
[78] 夏傳良, 鞠彥兵, 李盛恩．Petri網(wǎng)共享P型子網(wǎng)合成及其在系統(tǒng)設(shè)計(jì)中的應(yīng)用．系統(tǒng)仿真學(xué)報(bào), 2007, 19(2): 355-360.
[79] 鞠彥兵, 甘仞初, 趙玉明．供應(yīng)鏈系統(tǒng)仿真模型及優(yōu)化. 工業(yè)工程, 2006, 9(1): 85-90.
[80] 鞠彥兵, 李桂芬, 王愛(ài)華．基于遺傳算法的車間作業(yè)計(jì)劃仿真研究. 數(shù)學(xué)的實(shí)踐與認(rèn)識(shí), 2006, 36(10): 79-85.
[81] 鞠彥兵, 鐘玲, 甘仞初, 孫強(qiáng)南．醫(yī)藥配送系統(tǒng)仿真模型及優(yōu)化. 計(jì)算機(jī)工程與應(yīng)用, 2005, 41(11): 185-188.
[82] 鞠彥兵, 馮允成, 姚李剛．基于證據(jù)理論的軟件開(kāi)發(fā)風(fēng)險(xiǎn)評(píng)價(jià)方法. 系統(tǒng)管理學(xué)報(bào), 2003, 12(3): 130-134.
[83] 鞠彥兵, 馮允成, 王愛(ài)華．航空客運(yùn)超售風(fēng)險(xiǎn)研究. 北京航空航天大學(xué)學(xué)報(bào), 2002, 28(5): 593-596.
[84] 楊湘龍, 馮允成, 鞠彥兵．一種求解資源約束條件下運(yùn)輸優(yōu)化問(wèn)題的啟發(fā)式方法.系統(tǒng)仿真學(xué)報(bào), 2002, 14(1): 51-54.
三、主持及參與的科研項(xiàng)目
[1]×××系統(tǒng)仿真模型及數(shù)據(jù)優(yōu)化分析,北京賽迪時(shí)代信息產(chǎn)業(yè)股份有限公司, 2024-2025，主持.
[2]面向人口老齡化的主動(dòng)數(shù)智醫(yī)療健康服務(wù)管理研究, 國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目, 2025-2030, 參加.
[3]×××技術(shù)數(shù)據(jù)分析, ***科技創(chuàng)新研究院, 2023-2024，主持.
[4]×××系統(tǒng)優(yōu)化設(shè)計(jì)及仿真分析, ***科技研究院, 2023-2024，主持.
[5]×××保障能力評(píng)估研究, 中國(guó)**科學(xué)研究院, 2020-2022，主持.
[6]×××成本分析與優(yōu)化策略研究, 中國(guó)**科學(xué)研究院, 2021-2023, 參加.
[7]×××管理對(duì)策研究, 中國(guó)**科學(xué)研究院, 2019-2020, 主持.
[8]大數(shù)據(jù)驅(qū)動(dòng)的重大傳染病快速風(fēng)險(xiǎn)評(píng)估、決策支持與響應(yīng)機(jī)制研究, 北京市自然科學(xué)基金委員會(huì), 2021-2023, 參加.
[9] ×××戰(zhàn)略研究與資料匯編, 中國(guó)船舶工業(yè)綜合技術(shù)經(jīng)濟(jì)研究院, 2020-2001, 主持.
[10]×××成果轉(zhuǎn)化政策匯編與機(jī)制研究, 中國(guó)船舶工業(yè)綜合技術(shù)經(jīng)濟(jì)研究院, 2019-2020, 主持.
[11]P2P網(wǎng)絡(luò)借貸系統(tǒng)協(xié)同運(yùn)營(yíng)風(fēng)險(xiǎn)預(yù)警機(jī)制研究, 國(guó)家自然科學(xué)基金委員會(huì), 2019-2022, 參加.
[12]大數(shù)據(jù)環(huán)境下地方政府管理創(chuàng)新對(duì)策研究, 中國(guó)國(guó)際經(jīng)濟(jì)技術(shù)交流中心, 2018-2019, 主持.
[13]政府應(yīng)急管理機(jī)制及組織能力評(píng)價(jià)研究, 中央編辦UNDP合作項(xiàng)目, 2017-2018, 主持.
[14]×××推廣模式研究, 中國(guó)船舶工業(yè)綜合技術(shù)經(jīng)濟(jì)研究院, 2017-2018, 主持.
[15]動(dòng)態(tài)模糊環(huán)境下應(yīng)急預(yù)案評(píng)價(jià)研究, 教育部人文社會(huì)科學(xué)研究項(xiàng)目, 2016-2018, 主持.
[16]突發(fā)公共事件衛(wèi)生應(yīng)急救援現(xiàn)場(chǎng)關(guān)鍵技術(shù)、流程規(guī)范應(yīng)用性研究, 公益性行業(yè)科研專項(xiàng)項(xiàng)目, 2015-2017, 主持.
[17]國(guó)家留學(xué)基金委留學(xué)歸國(guó)人員科技活動(dòng)擇優(yōu)資助項(xiàng)目, 國(guó)家留學(xué)基金委員會(huì), 2014-2015, 主持.
[18]教育部“新世紀(jì)優(yōu)秀人才”支持計(jì)劃, 2014-2016, 主持.
[19]突發(fā)事件應(yīng)急能力評(píng)價(jià)模型研究, 北京市科學(xué)技術(shù)研究院, 2013-2014, 主持.
[20]非常規(guī)突發(fā)事件應(yīng)急管理體系的組織設(shè)計(jì)理論與系統(tǒng)評(píng)估方法, 國(guó)家自然科學(xué)基金委員會(huì), 2013-2016, 參加.
[21]應(yīng)急物流管理中仿真與評(píng)價(jià)的理論和應(yīng)用研究, 國(guó)家自然科學(xué)基金委員會(huì), 2010-2012, 主持.
[22]大城市交通站點(diǎn)仿真模型及優(yōu)化研究, 北京市自然科學(xué)基金項(xiàng)目, 2010-2012, 主持.
[23]突發(fā)事件應(yīng)急流程的仿真與優(yōu)化研究, 偉德國(guó)際1946bv官網(wǎng), 2010-2012, 主持.
[24]機(jī)場(chǎng)飛行區(qū)設(shè)計(jì)方案優(yōu)化動(dòng)態(tài)仿真評(píng)價(jià)系統(tǒng)研究, 中國(guó)民用航空總局, 2009-2011, 主持.
[25]民航客運(yùn)網(wǎng)絡(luò)收益管理若干問(wèn)題的研究, 國(guó)家自然科學(xué)基金委員會(huì), 2008-2010, 參加.
[26]突發(fā)事件應(yīng)急仿真決策理論及其應(yīng)用研究, 國(guó)家自然科學(xué)基金委員會(huì), 2007-2009, 主持.
[27]應(yīng)急救援管理的仿真建模優(yōu)化及其應(yīng)用研究, 偉德國(guó)際1946bv官網(wǎng), 2007-2009, 主持.
[28]跨組織流程的敏捷性分析與重構(gòu)方法研究, 國(guó)家自然科學(xué)基金委員會(huì), 2006-2008, 參加.
[29]電子商務(wù)環(huán)境下物流系統(tǒng)的建模及仿真研究, 北京市教育委員會(huì), 2003-2004, 主持.
[30]供應(yīng)鏈管理中仿真決策與動(dòng)態(tài)對(duì)策的理論和應(yīng)用研究, 國(guó)家自然科學(xué)基金委員會(huì), 2003-2005,參加.
[31]不確定性決策（風(fēng)險(xiǎn)）的理論與應(yīng)用研究, 國(guó)家自然科學(xué)基金委員會(huì), 2000-2002, 參加.
[32]企業(yè)生產(chǎn)管理的虛擬現(xiàn)實(shí)仿真與應(yīng)用研究, 國(guó)家自然科學(xué)基金委員會(huì), 1999-2001, 參加.
四、聯(lián)系方式
Tel.: (010) 68912453
Fax: (010) 68912483
E-mail: juyb@bit.edu.cn
通信地址：北京市海淀區(qū)中關(guān)村南大街5號(hào)偉德國(guó)際1946bv官網(wǎng)主樓417房間
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