一、学术专著
胡耀光 著. 《企业数字化转型与工业4.0渐进之路》，电子工业出版社，2019.5 范玉顺 胡耀光 著.《企业信息化战略规划方法与实践》，电子工业出版社，2007.12 王田苗 胡耀光 著.《基于价值链的企业流程再造与信息集成》，清华大学出版社，2002.9 二、最新发表论文
Ren, WB, Yan Y, Hu, YG, Guan Y.(2021). Joint optimisation for dynamic flexible job-shop scheduling problem with transportation time and resource constraints. International journal of production research (2021 online). https://doi.org/10.1080/00207543.2021.1968526. Han JL, Hu YG, Mao MS, Wan SP. (2020). A multi-objective districting problem applied to agricultural machinery maintenance service network. European Journal of Operational Research. Vo 287(3),1120-1130. https://doi.org/10.1016/j.ejor.2020.05.008. Ren, WB, WEN JQ, Yan Y, Hu, YG, Li JL.(2020). Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations. International journal of production research (2020 online). https://doi.org/10.1080/00207543.2020.1836421. Ren, W., Wu, K., Gu, Q., & Hu, Y. (2020). Intelligent decision making for service providers selection in maintenance service network : An adaptive fuzzy-neuro approach. Knowledge-Based Systems, 190, 105263. https://doi.org/10.1016/j.knosys.2019.105263 Hu, Y., Liu, Y., Wang, Z., Wen, J., Li, J., & Lu, J. (2020). A two-stage dynamic capacity planning approach for agricultural machinery maintenance service with demand uncertainty. Biosystems Engineering, 190, 201–217. https://doi.org/10.1016/j.biosystemseng.2019.12.005 Ren, W., Wen, J., Hu, Y., & Li, J. (2020). Maintenance service network redesign for geographically distributed moving assets using NSGA-II in agriculture. Computers and Electronics in Agriculture, 169(April 2019), 105170. https://doi.org/10.1016/j.compag.2019.105170 Hu, Y., Xiao, S., Wen, J., & Li, J. (2019). An ANP-multi-criteria-based methodology to construct maintenance networks for agricultural machinery cluster in a balanced scorecard context. Computers and Electronics in Agriculture, 158(January), 1–10. https://doi.org/10.1016/j.compag.2019.01.031 Tang, Y., Hu, Y., Liu, Y., & Wen, J. (2018). Research on the spare parts inventory control for agriculture inter-district A new methodology to analyze the operation functional and physical architecture of field existing products for an assembly oriented product family identification. Procedia CIRP, 73, 278–283. https://doi.org/10.1016/j.procir.2018.04.009 Han, J., Zhang, G., Hu, Y., & Lu, J. (2016). A solution to bi / tri-level programming problems using particle swarm optimization. Information Sciences, 370–371, 519–537. https://doi.org/10.1016/j.ins.2016.08.022 Guan, Y., Hu, Y., & Zhou, R. (2016). Joint optimization of delivery constraint and capacity adjustment for electronic component production system, 779–783. Lu, J., Han, J., Hu, Y., & Zhang, G. (2016). Multilevel decision-making: A survey. Information Sciences, 346–347, 463–487. https://doi.org/10.1016/j.ins.2016.01.084 Zhou, R., Hu, Y., Xiao, S., & Wen, J. (2016). A Decision-making approach to field service delivery under mixed maintenance policy. ICIEA2016, 1068–1072. Han, J., Zhang, G., Hu, Y., & Lu, J. (2016). A solution to bi/tri-level programming problems using particle swarm optimization. Information Sciences, 370–371, 519–537. https://doi.org/10.1016/j.ins.2016.08.022 Zhou, R., Hu, Y., Xiao, S., & Wen, J. (2016). A Multi-agent Based Decision –Making Approach for Field Service Delivery of IPS2. Procedia CIRP, 47, 228–233. https://doi.org/10.1016/j.procir.2016.03.070 Liu, Y., Hu, Y., Zhou, R., & Wen, J. (2016). An Approach Based on Improved Grey Model for Predicting Maintenance Time of IPS2. Procedia CIRP, 47, 204–209. https://doi.org/10.1016/j.procir.2016.03.047 Xiao, S., Hu, Y., Han, J., Zhou, R., & Wen, J. (2016). Bayesian Networks-based Association Rules and Knowledge Reuse in Maintenance Decision-Making of Industrial Product-Service Systems. Procedia CIRP, 47, 198–203. https://doi.org/10.1016/j.procir.2016.03.046 Hu, Y., Li, J., Wen, J., & Yan, Y. (2016). Evaluating knowledge resources in R&D organizations in China: An application using Structural Equation Modeling and Analytic Hierarchy Process. Information Development, 32(3), 478–495. https://doi.org/10.1177/0266666914556822 三、代表性科研项目 1． 国家自然科学基金 ² 模型与数据混合驱动的制造系统可持续运维技术与方法研究，2022.1-2025.12 ² 面向动态分布式装备集群的维护服务网络设计与服务调度研究，2017.01-2020.12 ² 基于战略屋的企业战略分解与冲突消解方法研究，2011.01-2013.12 2．国家重点研发计划 ² 跨区动态作业装备集群协同运维模式与关键技术研究，2020.09-2023.06 ² 集团企业智能ERP 体系架构研究与应用，2019.12-2022.11 ² 重型拖拉机智能制造技术研究与系统开发，2016.07-2020.12 ² 联合收割机关键部件可靠性检测技术研究与系统开发，2017.07-2020.12 3．国家863计划 ² 支持农机装备集群实时作业服务与运维的物联技术研发与示范，2013.01-2015.12 ² 面向离散型集团企业集约化经营管理平台研发与应用，2012.01-2013.12 4．其他部委项目 ² 特定区域（北京汽车产业聚集区）工业互联网平台试验测试，2018.06-2020.12 ² 面向新能源汽车大规模个性化定制的智能制造新模式，2017.07-2019.12 ² 智能化生产准备与制造过程管控一体化技术研究与推广，2009.01-2010.12 |
