[1] DUGUAY C R, LANDRY S, PASIN F. From mass production to flexible/agile production[J]. International Journal of Operation & Production Management, 1997, 17(12):1183-1195 [2] GAO J, YAO Y, ZHU V C Y, et al. Service-oriented manufacturing:a new product pattern and manufacturing paradigm[J]. Journal of Intelligent Manufacturing, 2011, 22(3):435-446 [3] KUSIAK A. Smart manufacturing[J]. International Journal of Production Research, 2018, 56(1-2):508-517 [4] LU Y, XU X. Cloud-based manufacturing equipment and big data analytics to enable on-demand manufacturing services[J]. Robotics and Computer Integrated Manufacturing, 2019, 57:92-102 [5] 李伯虎, 张霖, 王时龙, 等. 云制造——面向服务的网络化制造新模式[J]. 计算机集成制造系统, 2010, 16(1):1-7 LI Bohu, ZHANG Lin, WANG Shilong, et al. Cloud manufacturing:a new service-oriented networked manufacturing model[J]. Computer Integrated Manufacturing Systems, 2010, 16(1):1-7 [6] 李伯虎, 张霖, 任磊, 等. 云制造典型特征、关键技术与应用[J]. 计算机集成制造系统, 2012, 18(7):1345-1356 LI Bohu, ZHANG Lin, REN Lei, et al. Typical characteristics, technologies and applications of cloud manufacturing[J]. Computer Integrated Manufacturing Systems, 2012, 18(7):1345-1356 [7] 杨欣, 曾珍香, 魏津瑜, 等. 发展云制造创新模式的影响及对策研究[J]. 科学管理研究, 2018, 36(4):32-34, 39 YANG Xin, ZENG Zhenxiang, WEI Jinyu, et al. The influence and strategy research on developing the cloud manufacturing innovation mode[J]. Scientific Management Research, 2018, 36(4):32-34, 39 [8] 王京, 陈伟, 高长元, 等. 云制造联盟创新生态系统形成、模型构建及演化研究[J]. 科技进步与对策, 2018, 35(19):53-58 WANG Jing, CHEN Wei, GAO Changyuan, et al. Research on innovation ecosystem formation, model building and evolution of cloud manufacturing alliance[J]. Science & Technology Progress and Policy, 2018, 35(19):53-58 [9] 任磊, 任明仑. 基于学习与协同效应的云制造任务动态双边匹模型[J]. 中国管理科学, 2018, 26(7):63-70 REN Lei, REN Minglun. Dynamic two-sided matching method of cloud manufacturing task based on learning and synergy effect[J]. Chinese Journal of Management Science, 2018, 26(7):63-70 [10] 陈友玲, 牛禹霏, 刘舰, 等. 面向云制造的多供应商协同生产任务分配优化[J]. 计算机集成制造系统, 2019, 25(7):1-21 CHEN Youling, NIU Yufei, LIU Jian, et al. Task distribution optimization for multi-supplier collaborative production in cloud manufacturing[J]. Computer Integrated Manufacturing Systems, 2019, 25(7):1-21 [11] 龚小容, 李孝斌, 尹超. 云制造环境下基于贝叶斯网络的机床装备资源优化决策方法[J]. 中国机械工程, 2018, 29(20):2438-2445 GONG Xiaorong, LI Xiaobin, YIN Chao. Optimization decision method of machine tool resource based on Bayesian network under cloud manufacturing environments[J]. China Mechanical Engineering, 2018, 29(20):2438-2445 [12] LAI C, XU L. Bilevel fee-setting optimization for cloud monitoring service under uncertainty[J]. IEEE Access, 2018, 6:9473-9483 [13] 杨爱峰, 王文婷, 胡小建. 基于回收再制造的耐用品租赁/销售双渠道模型[J]. 系统工程, 2016, 34(1):91-95 YANG Aifeng, WANG Wenting, HU Xiaojian. Leasing/selling dual-channel model for recycling and remanufacturing durable goods[J]. Systems Engineering, 2016, 34(1):91-95 [14] 刘宇熹, 谢家平. 再制造下租赁产品服务系统节约共享契约研究[J]. 中国管理科学, 2016, 24(3):99-108 LIU Yuxi, XIE Jiaping. Shared-saving contracts for leased product service system based on remanufacturing[J]. Chinese Journal of Management Science, 2016, 24(3):99-108 [15] BALASUBRAMANIAN S, BHATTACHARYA S, KRISHNAN V V. Pricing information goods:a strategic analysis of the selling and pay-per-use mechanisms[J]. Marketing Science, 2015, 34(2):218-234 [16] 贾坤澔, 廖貅武, 刘莹. 竞争市场环境软件即服务提供商最优定价策略[J]. 系统管理学报, 2019, 28(2):209-221 JIA Kunhao, LIAO Xiuwu, LIU Ying. Optimal pricing strategy of the software-as-a-service software vendor in a competitive market[J]. Journal of Systems & Management, 2019, 28(2):209-221 [17] CHUN S, CHOI B. Service models and pricing schemes for cloud computing[J]. Cluster computing, 2014, 17(2):529-535 [18] WANG Z, HU C, Fan H. Real-time remaining useful life prediction for a nonlinear degrading system in service:application to bearing data[J]. IEEE/ASME Transactions on Mechatronics, 23, 1(211):222 [19] LI X, DING Q, SUN J. Remaining useful life estimation in prognostics using deep convolution neural networks[J]. Reliability Engineering and System Safety, 2018, 172:1-11 [20] DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multiobjective genetic algorithm:NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2):182-197 [21] WEN L, GAO L, LI X. A new deep transfer learning based on sparse auto-encoder for fault diagnosis[J]. IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2019, 49(1):136-144 [22] LIAO L. Discovering prognostic features using genetic programming in remaining useful life prediction[J]. IEEE Transactions on Industrial Electronics, 2014, 61(5):2646-2472 [23] LI X, XIE G, LIU H, et al. Predicting remaining useful life of industrial equipment based on multivariable monitoring data analysis[C/OL].(2019-01-24). https://ieeexplore.ieee.org/document/8623249.
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