With the development of the new generation information technology and the advanced manufacturing technology, the mass personalization has gradually replaced the mass customization as the current mainstream production mode. The resilient manufacturing system shows its ability to respond to and recover from the emergencies or the interruptions inside and outside the manufacturing system, and has become a key technology to support the mass personalization production. First, the co-evolution process of the production mode and the manufacturing system is discussed, focusing on the adaptive relation between the mass personalization production and the resilient manufacturing system, and the connotation of the system resilience is highlighted, as well as the research status of the resilience of the manufacturing system. Based on the analysis of the resilience process of the manufacturing system in the two levels of the supply chain network and the manufacturing enterprise's internal processing equipment network, a manufacturing supply chain network structure model is built based on the perspective of the material flow for further analyzing the resilience issues of the manufacturing system. The sources of the incentives, the resilience response processes and their characteristics, and the key supporting technologies of the resilient manufacturing systems are analyzed, and the evaluation index and the optimization strategies of the resilient manufacturing systems for the mass personalization production are suggested. Finally, the hot research directions of the resilient manufacturing systems for the mass personalization production are outlined.
[1] 景轩, 姚锡凡. 大数据驱动的云雾制造体系架构[J]. 计算机集成制造系统, 2019, 25(9):2119-2139.
[2] 肖人彬, 赖荣燊, 李仁旺. 从大规模定制化设计到大规模个性化设计[J]. 南昌工程学院学报, 2021, 40(1):1-12.
[3] Tetsuo T, Florian M. Resilient architecture for cyberphysical production systems[J]. CIRP Annals -Manufacturing Technology, 2018, 67(1):161-164.
[4] 梁福军, 宁汝新. 可重构制造系统理论研究[J]. 机械工程学报, 2003, 39(6):36-43.
[5] Moghaddam M, Deshmukh A. Resilience of cyber-physical manufacturing control systems[J]. Manufacturing Letters, 2019, 20:40-44.
[6] Holling C S. Resilience and stability of ecological systems[J]. Annual Review of Ecology and Systematics, 1973, 4(1):1-23.
[7] Madni A M, Jackson S. Towards a conceptual framework for resilience engineering[J]. IEEE Systems Journal, 2009, 3(2):181-191.
[8] 李倩, 郭恩栋, 李玉芹, 等. 供水系统地震韧性评价关键问题分析[J]. 灾害学, 2019, 34(2):83-88.
[9] Kusiak A. Open manufacturing:A design-for-resilience approach[J]. International Journal of Production Research, 2020, 58(15):4647-4658.
[10] Bruneau M, Reinhorn A. Overview of the resilience concept[C]//The 8th US National Conference on Earthquake Engineering 2006. San Franciscos:Earthquake Engineering Research Institute, 2006:3168-3176.
[11] Chaudry M, Ekins P, Ramachandran K, et al. Building a resilient UK energy system[R]. London:UK Energy Research Centre, 2011.
[12] 李凡, 张杰勇. 指挥信息系统网络结构的韧性问题研究[J]. 电光与控制, 2020, 27(4):49-54.
[13] 鞠平, 王冲, 辛焕海, 等. 电力系统的柔性、弹性与韧性研究[J]. 电力自动化设备, 2019, 39(11):1-7.
[14] Tang C S. Robust strategies for mitigating supply chain disruptions[J]. International Journal of Logistics:Research and Applications, 2006, 9(1):33-45.
[15] 樊雪梅, 卢梦媛. 新冠疫情下汽车企业供应链韧性影响因素及评价[J]. 工业技术经济, 2020, 39(10):21-28.
[16] Namdar J, Li X, Sawhney R, et al. Supply chain resilience for single and multiple sourcing in the presence of disruption risks[J]. International Journal of Production Research, 2018, 56(6):2339-2360.
[17] Lee S, Gu X, Ni J. Stochastic maintenance opportunity windows for unreliable two-machine one-buffer system[J]. Expert Systems with Applications, 2013, 40(13):5385-5394.
[18] Gu X, Jin X, Ni J, et al. Manufacturing system design for resilience[J]. Procedia CIRP, 2015, 36:135-140.
[19] Gu X, Jin X, Ni J. Resilience measures of manufacturing systems under disruptions[C]//Proceedings of the ASME 2014 International Manufacturing Science and Engineering Conference, MSEC2014. Detroit:ASME, 2014:V001T04A007(10).
[20] Caputo A C, Pelagagge P M, Salini P. A methodology to estimate resilience of manufacturing plants[J]. IFAC-PapersOnLine, 2019, 52(13):808-813.
[21] Bergmann U, Heinicke M. Resilience of productions systems by adapting temporal or spatial organization[J]. Procedia CIRP, 2016, 57:183-188.
[22] Ljasenko S, Lohse N, Justham L. A comparison of the manufacturing resilience between fixed automation systems and mobile robots in large structure assembly[J]. Procedia CIRP, 2016, 57:235-240.
[23] 杜如虚. 中美制造工程比较分析与韧性智能制造系统[R]. 深圳:OFweek维科网及高科会, 2019.
[24] Kusiak A. Fundamentals of smart manufacturing:A multi-thread perspective[J]. Annual Reviews in Control, 2019, 47:214-220.
[25] Sheffi Y, Rice Jr J B. A supply chain view of the resilient enterprise[J]. MIT Sloan Management Review, 2005, 47(1):41-48.
[26] Vugrin E D, Warren D E, Ehlen M A. A resilience assessment framework for infrastructure and economic systems:Quantitative and qualitative resilience analysis of petrochemical supply chains to a hurricane[J]. Process Safety Progress, 2011, 30(3):280-290.
[27] Liu J, Yang S, Wu A, et al. Multi-state throughput analysis of a two-stage manufacturing system with parallel unreliable machines and a finite buffer[J]. European Journal of Operational Research, 2012, 219(2):296-304.
[28] Diamantidis A C, Papadopoulos C T. Exact analysis of a two-workstation one-buffer flow line with parallel unreliable machines[J]. European Journal of Operational Research, 2009, 197(2):572-580.
[29] Burman M H. New results in flow line analysis[D]. Cambridge:Massachusetts Institute of Technology, 1995.
[30] 李仁旺, 肖人彬. 数字孪生驱动的大数据制造服务模式[J]. 科技导报, 2020, 38(14):116-125.
[31] Naghshineh B, Carvalho H. The impact of additive manufacturing on supply chain resilience[C]//Doctoral Conference on Computing, Electrical and Industrial Systems. Berlin:Springer, 2020:214-221.
[32] 张映锋, 郭振刚, 钱成, 等. 基于过程感知的底层制造资源智能化建模及其自适应协同优化方法研究[J]. 机械工程学报, 2018, 54(16):1-10.
[33] 肖智文, 王国庆, 朱建明, 等. 面向突发事件的电网韧性能力评价及构建方法[J]. 系统工程理论与实践,2019, 39(10):189-197.
[34] 程翔, 杨宜, 王泽然, 等. 民营经济韧性的评价体系构建与应用[J]. 北京联合大学学报(人文社会科学版), 2020, 18(3):79-88.
[35] 郑力, 江平宇, 乔立红, 等. 制造系统研究的挑战和前沿[J]. 机械工程学报, 2010, 46(21):124-136.
[36] 梁玉桃, 杜如虚. 有远见的公司都在发展韧性制造[N]. 中国科学报, 2020-09-07(004).
[37] Manuj I, Mentzer J T. Global supply chain risk management[J]. Journal of Business Logistics, 2008, 29(1):133-155.
