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Dr. Mohammad Reza Maleki

Assistant Professor of Industrial Engineering Department

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Office : Industrial Engineering Group, Golpayegan College of Engineering, Golpayegan 87717-67498, Isfahan University of Technology, Iran Email : m.maleki@iut.ac.ir Phone : +98 3157240065 Fax : +98 3157240067 Web Site : Dr. Mohammad Reza Maleki

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Research Fields : Statistical Process Monitoring

Reliability Engineering

Big Data Analysis

Recent Publications

بنایی, غ., غزاله, & ملکی. (2021). بررسی ارتباط بین رهبری مدیران ارشد، توانمندسازی کارکنان، رضایت شغلی و رضایت مشتری درسازمان هایی با برنامه مدیریت کیفیت جامع. مهندسی سیستم و بهره وری, 1(1), 99-120.‎

Maleki, M. R., Castagliola, P., Amiri, A., & Khoo, M. B. (2019). The effect of parameter estimation on phase II monitoring of poisson regression profiles. Communications in Statistics-Simulation and Computation, 48(7), 1964-1978.

Maleki, M. R., Amiri, A., & Taheriyoun, A. R. (2018). Identifying the time of step change and drift in phase II monitoring of autocorrelated logistic regression profiles. Scientia Iranica, 25(6), 3654-3666.

Maleki, M. R., Amiri, A., & Castagliola, P. (2018). An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme. Computers & Industrial Engineering, 126, 705-728.

Salmasnia, A., Maleki, M. R., & Niaki, S. T. A. (2018). Remedial measures to lessen the effect of imprecise measurement with linearly increasing variance on the performance of the MAX-EWMAMS scheme. Arabian Journal for Science and Engineering, 43, 3151-31

Maleki, M. R., Amiri, A., Taheriyoun, A. R., & Castagliola, P. (2018). Phase I monitoring and change point estimation of autocorrelated poisson regression profiles. Communications in statistics-Theory and Methods, 47(24), 5885-5903.

Fotuhi, H., Amiri, A., & Maleki, M. R. (2018). Phase I monitoring of social networks based on Poisson regression profiles. Quality and Reliability Engineering International, 34(4), 572-588.

Amiri, A., Ghashghaei, R., & Maleki, M. R. (2018). On the effect of measurement errors in simultaneous monitoring of mean vector and covariance matrix of multivariate processes. Transactions of the Institute of Measurement and Control, 40(1), 318-330.

Amiri, A., Maleki, M. R., & Sogandi, F. (2018). Estimating the time of a step change in the multivariate-attribute process mean using ANN and MLE. International Journal of Data Analysis Techniques and Strategies, 10(1), 81-98.

Maleki, M. R., Maleki, F., & Dizabadi, A. K. (2016). Decreasing the effect of measurement errors on detecting and diagnosing performance of MAX-EWMAMS control chart in Phase II. International Journal of Quality Engineering and Technology, 6(1-2), 54-66.

Maleki, M. R., Amiri, A., & Taheriyoun, A. R. (2017). Phase II monitoring of binary profiles in the presence of within-profile autocorrelation based on Markov Model. Communications in Statistics-Simulation and Computation, 46(10), 7710-7732.

Maleki, M. R., Amiri, A., & Castagliola, P. (2017). Measurement errors in statistical process monitoring: A literature review. Computers & Industrial Engineering, 103, 316-329.

Maleki, M. R., & Salmasnia, A. (2017). Joint monitoring of process location and dispersion based on CUSUM procedure and generalized likelihood ratio in the presence of measurement errors. Quality and Reliability Engineering International, 33(7), 1485-1498

Khati Dizabadi, A., Shahrokhi, M., & Maleki, M. R. (2016). On the effect of measurement error with linearly increasing‐type variance on simultaneous monitoring of process mean and variability. Quality and Reliability Engineering International, 32(5), 1693

Ghashghaei, R., Bashiri, M., Amiri, A., & Maleki, M. R. (2016). Effect of measurement error on joint monitoring of process mean and variability under ranked set sampling. Quality and Reliability Engineering International, 32(8), 3035-3050.

Maleki, M. R., Ghashghaei, R., & Amiri, A. (2016). Simultaneous monitoring of multivariate process mean and variability in the presence of measurement error with linearly increasing variance under additive covariate model, IJE, 29(4), 514-523.

Maleki, M. R., & Sahraeian, R. (2015). Online monitoring and fault diagnosis of multivariate-attribute process mean using neural networks and discriminant analysis technique. International Journal of Engineering, 28(11), 1634-1643.

Maleki, M. R., & Amiri, A. (2015). Simultaneous monitoring of multivariate-attribute process mean and variability using artificial neural networks. Journal of Quality Engineering and Production Optimization, 1(1), 43-54.

Maleki, M. R., Mousavi, S. M., & Amiri, A. (2015). A new neural network-based control scheme for fault detection and fault diagnosis in fuzzy multivariate multinomial data. International Journal of Applied Decision Sciences, 8(2), 127-144.

Maleki, M. R., Amiri, A., & Mousavi, S. M. (2015). Step change point estimation in the multivariate-attribute process variability using artificial neural networks and maximum likelihood estimation. Journal of Industrial Engineering International, 11(4), 5

Amiri, A., Bashiri, M., Maleki, M. R., & Moghaddam, A. S. (2014). Multi-objective Markov-based economic-statistical design of EWMA control chart using NSGA-II and MOGA algorithms. International Journal of Multicriteria Decision Making, 4(4), 332-347.

پورزرکشیان، عرفانه.، ملکی، محمدرضا.، & احمدوند، محسن. (1401). تخمین نقطه تغییر پله ای در مدل های کسب و کار با در نظر گرفتن همزمان شاخص های گسسته و پیوسته. مهندسی سیستم و بهره وری, 1(3), 49-72.‎

اميري اميرحسين, ملکي محمدرضا, & کلاني محمدحسين. (1395). تخمين نقطه تغيير در ماتريس کواريانس فرآيند نرمال چند متغيره با استفاده از شبکه عصبي.‎ مهندسي و مديريت کيفيت، 6(1)، 21-34.

Dr. Mohammad Reza Maleki | Assistant Professor of Industrial Engineering Department

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