The Standard Model of Human-machine Cooperative Operation Function in Intelligent Manufacturing
Liu Zeshuang1,Han Jin 1,Wang Yifan2
(1.School of Economics and Management, Xi'an University of Technology, Xi'an 710054, China;2.School of Economics and Management, Shihezi University, Shihezi 832003, China)
刘泽双,韩金,王一帆. 智能制造人机协作运行功能标准模型研究[J]. 科技进步与对策, 2022, 39(20): 21-31.
Liu Zeshuang,Han Jin ,Wang Yifan. The Standard Model of Human-machine Cooperative Operation Function in Intelligent Manufacturing. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2022, 39(20): 21-31.
[1] SPRINGER GABLER PREIS.Einführung und umsetzung von Industrie 4.0: grundlagen, vorgehensmodell und use cases aus der praxis[M]. Berlin:Springer-Verlag, 2016.[2] EVANS P C, ANNUNZIATA M. Industrial internet: pushing the boundaries of minds and machines[R]. Boston:General Electric, 2012.[3] 王亮.人工代理的道德责任何以可能——基于“道德问责”和“虚拟责任”的反思[J].大连理工大学学报(社会科学版),2022,43(1):113-120.[4] 何勤,董晓雨,朱晓妹.人工智能引发劳动关系变革:系统重构与治理框架[J].中国人力资源开发,2022,39(1):134-148.[5] 李茹,赵曙明.数字经济背景下人与环境匹配的新变化及应对策略[J].南京社会科学,2021,32(9):37-44.[6] 宋旭光,左马华青.智能制造时代需要怎样的技能人才[J].东北大学学报(社会科学版),2022,24(1):16-24.[7] 黄思翰,王柏村,张美迪,等.面向人本智造的新一代操作工:参考架构、使能技术与典型场景[J/OL].机械工程学报,[2022-03-11].https://kns.cnki.net/kns8/defaultresult/index.[8] 刘大卫.人工智能背景下人力资源雇佣关系重构及社会影响分析[J].云南社会科学,2020,40(1):47-52.[9] 王柏村,薛塬,延建林,等.以人为本的智能制造:理念、技术与应用[J].中国工程科学,2020,22(4):139-146.[10] 许为,葛列众,高在峰.人~AI交互:实现“以人为中心AI”理念的跨学科新领域[J].智能系统学报,2021,16(4):605-621.[11] 周世军,赵丹丹.人工智能重塑就业的未来趋势、特征及对策[J].经济体制改革,2022,40(1):188-194.[12] 胡晟明,王林辉,赵贺.人工智能应用、人机协作与劳动生产率[J].中国人口科学,2021,35(5):48-62,127.[13] 朱晓妹,王森,何勤.人工智能嵌入视域下岗位技能要求对员工工作旺盛感的影响研究[J].外国经济与管理,2021,43(11):15-25.[14] 张劲松,武红阵.人工智能嵌入人类生活的风险及其防控[J].苏州大学学报(哲学社会科学版),2021,42(5):26-33.[15] 程承坪.人工智能:工具或主体——兼论人工智能奇点[J].上海师范大学学报(哲学社会科学版),2021,50(6):5-12.[16] PREZ L, RODRGUEZ-JIMNEZ S, RODRGUEZ N, et al. Symbiotic human-robot collaborative approach for increased productivity and enhanced safety in the aerospace manufacturing industry[J]. The International Journal of Advanced Manufacturing Technology, 2020, 106(3): 851-863.[17] ROMERO D, STAHRE J, WUEST T, et al. Towards an operator 4.0 typology: a human-centric perspective on the fourth industrial revolution technologies[C]//Proceedings of the International Conference on Computers and Industrial Engineering (CIE46).Tianjin, China,2016: 29-31.[18] ROMERO D,BERNUS P,NORAN O,et al. The operator 4.0:human cyber-physical systems & adaptive automation towards human-automationsymbiosis work systems[C]// IFIP International Conference on Advances in Production Management Systems. Cham:Springer,2016:677-686.[19] JIN M. Data-efficient analytics for optimal human-cyber-physical systems[D].Berkeley:University of California,2017.[20] LV Q, ZHANG R, SUN X, et al. A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19[J]. Journal of Manufacturing Systems, 2021, 60: 837-851.[21] MCCAFFREY T,SPECTOR L.An approach to human-machine collaboration in innovation[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2018, 32(1):1-15.[22] 李慧,李贵卿.人工智能时代人机协作工作模型构建研究[J].现代管理,2020,10(3):360-367.[23] YILMA B A,PANETTO H, NAUDET Y.A meta-model of cyber-physical-social system: the cpss paradigm to support human-machine collaboration in industry 4.0[C]//Working Conference on Virtual Enterprises.Cham:Springer, 2019: 11-20.[24] HAESEVOETS TESSA, DE CREMER DAVID,DIERCKX KIM,et al.Human-machine collaboration in managerial decision making[J].Computers in Human Behavior,2021,119:106730.[25] ZANCHETTIN A M,CASALINO A,PIRODDI L,et al. Prediction of human activity patterns for human-robot collaborative assembly tasks[J]. IEEE Transactions on Industrial Informatics, 2018, 15(7): 3934-3942. [26] MICHALOS G, MAKRIS S,SPILIOTOPOULOS J, et al. ROBO-PARTNER: seamless human-robot cooperation for intelligent, flexible and safe operations in the assembly factories of the future[J]. Procedia CIRP, 2014, 23:71-76.[27] TAKATA S,HIRANO T.Human and robot allocation method for hybrid assembly systems[J].CIRP Annals, 2011,60(1):9-12.[28] TSAROUCHI P, MICHALOS G, MAKRIS S, et al. On a human-robot workplace design and task allocation system[J]. International Journal of Computer Integrated Manufacturing, 2017, 30(12): 1272-1279.[29] REIMANN J, SZIEBIG G.The intelligent factory space:a concept for observing, learning and communicating in the digitalized factory[J]. IEEE Access, 2019, 7:70891-70900.[30] 董豪,杨静,李少波,等.基于深度强化学习的机器人运动控制研究进展[J].控制与决策,2022,37(2):278-292.[31] WANG J, CAO J, STOJMENOVIC M, et al. Pattern-rl: multi-robot cooperative pattern formation via deep reinforcement learning[C]//2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). IEEE, 2019: 210-215.[32] CHUNG J. Playing atari with deep reinforcement learning[J]. Comput. Ence, 2013, 21: 351-362.[33] MOUSSA M A. Combining expert neural networks using reinforcement feedback for learning primitive grasping behavior[J]. IEEE Transactions on Neural Networks,2004, 15(3): 629-638.[34] LENAT D B, BROWN J S. Why AM and EURISKO appear to work[J]. Artificial Intelligence, 1984, 23(3): 269-294.[35] RITCHIE G D, HANNA F K. AM: a case study in AI methodology[J]. Artificial Intelligence, 1984, 23(3): 249-268.[36] MCCAFFREY T. Innovation relies on the obscure: a key to overcoming the classic problem of functional fixedness[J]. Psychological Science, 2012, 23(3): 215-218.[37] DING N, FANG Z, DUAN L, et al. Incentive mechanism design for distributed coded machine learning[C]//2021-IEEE Conference on Computer Communications. IEEE,2021: 1-10.[38] TEIXEIRA J V S, REIS A M, MENDES F B, et al. Collaborative robots[M]//Occupational and Environmental Safety and Health. Cham:Springer, 2019: 791-796.[39] JULIET CORBIN,ANSELM STRAUSS. Basics of qualitative research: techniques and procedures for developing grounded theory[M]. Sage Publications, Inc, 2007.[40] MORDECAI Y, DORI D. Model-based operational-functional unified specification for mission systems[C]//2016 Annual IEEE Systems Conference (SysCon). IEEE, 2016: 1-8.