Forskarpresentation
Ming Zhao
Universitetslektor
Forskningsämne: Industriell ekonomi
E-post: ming.zhao@hig.se
Telefon: 026-64 88 17
Mobil: 073-082 29 06
Ming Zhao undervisar i olika kurser inom industriell ekonomi som statistik, kvalitetsstyrning (TQM), tillförlitlighetsteknik och simulering av logistiksystem. Hans forskningsintressen inkluderar multivariat statistik, tillförlitlighet matematik, mjukvarutillförlitlighet modellering och kvalitetsteknologi.
Han har en doktorsexamen i kvalitetsteknologi från Linköpings universitet, en magisterexamen i matematisk statistik från Wuhan universitet, Kina och en kandidatexamen i tillämpad matematik från Guizhou University, Kina. Innan han började sin doktorandstudie hade han arbetat i flygindustrin i flera år. Han har publicerat över 60 vetenskapliga artiklar i refererade tidskrifter och konferensbidrag.
AKTUELL FORSKNING
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Vetenskapliga artiklar, refereegranskade
Yang, J., Zhao, M. & Chen, J. (2022). ELS algorithm for estimating open source software reliability with masked data considering both fault detection and correction processes. Communications in Statistics - Theory and Methods, 51 (19), 6792-6817. 10.1080/03610926.2020.1866610
[Mer information]
Zhang, Y., Zhao, M., Zhang, Y., Pan, R. & Cai, J. (2020). Dynamic and steady-state performance analysis for multi-state repairable reconfigurable manufacturing systems with buffers. European Journal of Operational Research, 283 (2), 491-510. 10.1016/j.ejor.2019.11.013
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Zhao, M., Yang, J., Zhao, B. & Wu, Z. (2019). Copula-based reliability modelling of wireless sensor networks with dependent failures. International Journal of Sensor Networks (IJSNet), 31 (2), 90-98. 10.1504/IJSNET.2019.102185
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Yongjin, Z., Youchao, S., Longbiao, L. & Ming, Z. (2018). Copula-based reliability analysis for a parallel system with a cold standby. Communications in Statistics - Theory and Methods, 47 (3), 562-582. 10.1080/03610926.2017.1309432
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Zhang, Y., Sun, Y. & Zhao, M. (2017). A combinatorial estimation approach for storage reliability with initial failures based on periodic testing data. Communications in statistics. Simulation and computation, 46 (4), 3319-3340. 10.1080/03610918.2015.1130836
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Zhang, Y., Zhao, M., Zhang, S., Wang, J. & Zhang, Y. (2017). An integrated approach to estimate storage reliability with initial failures based on E-Bayesian estimates. Reliability Engineering & System Safety, 159, 24-36. 10.1016/j.ress.2016.10.024
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Yang, J., Liu, Y., Xie, M. & Zhao, M. (2016). Modeling and analysis of reliability of multi-release open source software incorporating both fault detection and correction processes. Journal of Systems and Software, 115, 102-110. 10.1016/j.jss.2016.01.025
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Zhao, B., Yang, J., Zhao, M., Li, Q. & Liu, Y. (2015). Wireless sensor network reliability modelling based on masked data. International Journal of Sensor Networks (IJSNet), 17 (4), 217-223. 10.1504/IJSNET.2015.069584
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Yang, J., Zhao, M. & Hu, W. (2014). Web software reliability modeling with random impulsive shocks. Journal of Systems Engineering and Electronics, 25 (2), 349-356. 10.1109/JSEE.2014.00040
[Mer information]
Yang, J. & Zhao, M. (2013). Maximum likelihood estimation for software reliability with masked failure data. Systems engineering and electronics, 35 (12), 2665-2669. 10.3969/j.issn.1001-506X.2013.12.34
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Fan, L., Wu, Y. & Zhao, M. (2008). Structural system based on software reliability. Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology, 34 (SUPPL. 2), 73-78.
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Zhao, M. (1998). Planning Models for Software Reliability and Cost. IEEE Transactions on Software Engineering, 24 (6), 420-434. 10.1109/32.689400
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Vetenskapliga artiklar, ej refereegranskade
Hu, W., Zhao, M., Yang, J. & Jia, G. (2012). A Method of Software Reliability Allocation Based on UML Use Case Model. Jisuanji Kexue [Computer Science], 39 (6A), 461-463.
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Hu, W., Zhao, M., Yang, J. & Jia, G. (2012). Iterative Strategy Analyze During Agile Development. Weidianzixue yu jisuanji [Microelectronics & Computer], 29 (5), 165-169.
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Yang, J., Yang, L., Zhao, M. & Gong, M. (2012). Reliability Analysis of Hydraulic Oil System Based on L-M Method. Application of Statistics and Management, 6, 976-980.
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Hu, W. & Zhao, M. (2012). Software reliability index reasonable allocation based on UML. Journal of Convergence Information Technology, 7 (23), 178-185.
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Hu, W., Zhao, M., Yang, J. & Jia, W. (2012). VDM++ Formalization of UML Class Diagram. Weidianzixue yu jisuanji [Microelectronics & Computer], 29 (6), 104-107.
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Yang, J., Zhao, M. & Hu, W. (2012). Web Software Reliability Analysis Based on NHPP Model. Jisuanji Gongcheng [Computer Engineering], 38 (14), 26-28.
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Zhao, M. (2003). Superposition of Power-law Models for Hardware/Software System Reliability Data Analysis. International Journal of Reliability, Quality and Safety Engineering (IJRQSE), 10 (2), 121-130. 10.1142/S0218539303001044
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