[1] ITU. Internet of Things Global Standards Initiative, 2015. [Online]. Available: http://www.itu.int/en/ITU-T/gsi/iot/Pages/default.aspx
[2] K. Ding, P. Y. Jiang, P. L. Sun, and C. Wang, "RFID-enabled physical object tracking in process flow based on an enhanced graphical deduction modeling method, " IEEE Trans. Syst. Man Cybern. Syst., vol. 47, no. 11, pp. 3006-3018, 2017. doi: 10.1109/TSMC.2016.2558104
[3] P. Y. Jiang and W. Cao, "An RFID-driven graphical formalized deduction for describing the time-sensitive state and position changes of work-inprogress material flows in a job-shop floor, " J. Manuf. Sci. Eng., 135, 3, pp. 031009, May 2013. doi: 10.1115/1.4024037
[4] R. Y. Zhong, Q. Y. Dai, T. Qu, G. J. Hu, and G. R. Huang, "RFID-enabled real-time manufacturing execution system for masscustomization production, " Robot. Comput. -Integr. Manuf., vol. 29, no. 2, pp. 283-292, Apr. 2013. http://www.sciencedirect.com/science/article/pii/S0736584512000956
[5] T. Qu, H. D. Yang, G. Q. Huang, Y. F. Zhang, H. Luo, and W. Qin, "A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers, " J. Intell. Manuf., vol. 23, no. 6, pp. 2343-2356, Dec. 2012. http://dl.acm.org/citation.cfm?id=2423788
[6] F. Q. Zhang, P. Y. Jiang, M. Zheng, and W. Cao, "A performance evaluation method for radio frequency identification-based tracking network of job-shop-type work-in-process material flows, " Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., vol. 227, no. 10, pp. 1541-1557, Sep. 2013. https://www.mendeley.com/research-papers/performance-evaluation-method-radio-frequency-identificationbased-tracking-network-jobshoptype-worki/
[7] C. Saygin, "Adaptive inventory management using RFID data, " Int. J. Adv. Manuf. Technol., vol. 32, no. 9, pp. 1045-1051, Apr. 2007. doi: 10.1007/s00170-006-0405-x
[8] E. E. Ozguven and K. Ozbay, "An RFID-based inventory management framework for emergency relief operations, " Transp. Res. Part C: Emerg. Technol., vol. 57, pp. 166-187, Aug. 2015. http://ieeexplore.ieee.org/document/6338812/
[9] R. Y. Zhong, Z. Li, L. Y. Pang, Y. Pan, T. Qu, and G. Q. Huang, "RFID-enabled real-time advanced planning and scheduling shell for production decision making, " Int. J. Comput. Integr. Manuf., vol. 26, no. 7, pp. 649-662, Jan. 2013. http://www.ingentaconnect.com/content/tandf/tcim/2013/00000026/00000007/art00004
[10] W. K. Wong, Z. X. Guo, and S. Y. S. Leung, "Intelligent multi-objective decision-making model with RFID technology for production planning, " Int. J. Product. Econom., vol. 147, pp. 647-658, Jan. 2014. http://www.sciencedirect.com/science/article/pii/S0925527313002375
[11] Z. X. Guo, E. W. T. Ngai, C. Yang, and X. D. Liang, "An RFIDbased intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment, " Int. J. Product. Econom., vol. 159, pp. 16-28, Jan. 2015. http://www.sciencedirect.com/science/article/pii/S0925527314002825
[12] J. Lyu, Jr., S. Y. Chang, and T. L. Chen, "Integrating RFID with quality assurance system-framework and applications, " Exp. Syst. Appl., vol. 36, no. 8, pp. 10877-10882, Oct. 2009. https://dl.acm.org/citation.cfm?id=1542543.1542651
[13] Y. B. Fu and P. Y. Jiang, "RFID based e-quality tracking in serviceoriented manufacturing execution system, " Chin. J. Mech. Eng., vol. 25, no. 5, pp. 974-981, Sep. 2012. doi: 10.3901/CJME.2012.05.974
[14] H. B. Cai, A. R. Andoh, X. Su, and S. Li, "A boundary condition based algorithm for locating construction site objects using RFID and GPS, " Adv. Eng. Inform., vol. 28 no. 4, pp. 455-468, Oct. 2014. http://www.sciencedirect.com/science/article/pii/S1474034614000470
[15] C. Wang, P. Y. Jiang, and K. Ding, "A hybrid-data-on-tag-enabled decentralized control system for flexible smart workpiece manufacturing shop floors, " Proc. Inst. Mech. Eng. Part C: J. Mech. Eng. Sci., to be published. doi: 10.1177/0954406215620452
[16] C. C. Aggarwal and J. W. Han. A survey of RFID data processing, " in Managing and Mining Sensor Data, C. C. Aggarwal, Ed. New York: Springer, 2013, pp. 349-382. doi: 10.1007/978-1-4614-6309-2_11
[17] R. Y. Zhong, G. Q. Huang, S. L. Lan, Q. Y. Dai, X. Chen, and T. Zhang, "A big data approach for logistics trajectory discovery from RFID-enabled production data, " Int. J. Product. Econom., vol. 165, pp. 260-272, Jul. 2015. http://www.sciencedirect.com/science/article/pii/S0925527315000481
[18] R. Y. Zhong, S. L. Lan, C. Xu, Q. Y. Dai, and G. Q. Huang, "Visualization of RFID-enabled shopfloor logistics Big Data in Cloud Manufacturing, " Int. J. Adv. Manuf. Technol., vol. 84, no. 1, pp. 5-16, Apr. 2016. doi: 10.1007/s00170-015-7702-1
[19] K. Katchasuwanmanee, R. Bateman, and K. Cheng, "Development of the Energy-smart Production Management system (e-ProMan): A big data driven approach, analysis and optimisation, " Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., vol. 230, no. 5, pp. 972-978, May 2016. https://curve.coventry.ac.uk/open/items/4010c1d1-89d5-4e7b-afef-856f487039ef/1/
[20] P. Y. Jiang, Y. B. Fu, Q. Q. Zhu and M. Zheng, "Event-driven graphical representative schema for job-shop-type material flows and data computing using automatic identification of radio frequency identification tags, " Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., vol. 226, no. 2, pp. 339-352, Feb. 2012. https://www.mendeley.com/research-papers/eventdriven-graphical-representative-schema-jobshoptype-material-flows-data-computing-usingautomatic/
[21] I. A. T. Hashem, I. Yaqoob, N. B. Anuar, S. Mokhtar, A. Gani, and S. U. Khan, "The rise of ig data on cloud computing: Review and open research issues, "Inform. Syst., vol. 47, pp. 98-115, Jan. 2015. http://www.sciencedirect.com/science/article/pii/S0306437914001288
[22] M. A. Hernandez, "A generalization of band joins and the merge/purge problem, " Department of Computer Science, Columbia University, Technical Report CUCS-005-1995, 1995.
[23] C. Wang and P. Y. Jiang, "Manifold learning based rescheduling decision mechanism for recessive disturbances in RFID-driven job shops, " J. Intell. Manuf., to be published. doi: 10.1007/s10845-016-1194-1
[24] J. R. Quinlan, C4.5:Programs for Machine Learning. San Mateo, CA:Morgan Kaufman Publishers Inc., 1993.
[25] Y. -R. Shiue, "Data-mining-based dynamic dispatching rule selection mechanism for shop floor control systems using a support vector machine approach, " Int. J. Prod. Res., vol. 47, no. 13, pp. 3669-3690, Jul. 2009. doi: 10.1080/00207540701846236
[26] H. N. Chen, Y. L. Zhu, K. Y. Hu, and T. Ku, "RFID network planning using a multi-swarm optimizer, " J. Netw. Comput. Appl., vol. 34, no. 3, pp. 888-901, May 2011. http://dl.acm.org/citation.cfm?id=1953644.1953774
[27] D. Cireşan, U. Meier, J. Masci, and J. Schmidhuber, "Multi-column deep neural network for traffic sign classification, " Neural Netw., vol. 32, pp. 333-338, Aug. 2012. http://europepmc.org/abstract/MED/22386783
[28] P. Y. Jiang, K. Ding, and J. W. Leng, "Towards a cyber-physicalsocial-connected and service-oriented manufacturing paradigm: Social Manufacturing, " Manuf. Lett., vol. 7, pp. 15-21, Jan. 2016. http://www.sciencedirect.com/science/article/pii/S221384631500022X
[29] P. Y. Jiang, J. W. Leng, K. Ding, P. H. Gu, and Y. Koren, "Social manufacturing as a sustainable paradigm for mass individualization, " Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., vol. 230, no. 10, pp. 1961-1968, Sep. 2016. doi: 10.1177/0954405416666903