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Umeå University
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Hamed Sabahno

Contact

E-mail
hamed.sabahno@umu.se
Phone
+46 90 786 61 58

Works at

Affiliation
Affiliated as postdoctoral position at Department of Applied Physics and Electronics
Location
X, Håken Gullessons väg 20, Teknikhuset, TEK.C.409 Umeå universitet, 901 87 Umeå

Project: Quality Control Using Image Processing

Developing machine learning-based control charts for monitoring different glm-type profiles with different link functions
Applied Artificial Intelligence, Taylor & Francis 2024, Vol. 38, (1)
Hric, Patrik; Sabahno, Hamed
Variable parameters memory-type control charts for simultaneous monitoring of the mean and variability of multivariate multiple linear regression profiles
Scientific Reports, Nature Publishing Group 2024, Vol. 14, (1)
Sabahno, Hamed; Eriksson, Marie
A multivariate adaptive control chart for simultaneously monitoring of the process parameters
Communications in statistics. Simulation and computation, Taylor & Francis 2024, Vol. 53, (4) : 2031-2049
Sabahno, Hamed; Khoo, Michael B.C
An adaptive max-type multivariate control chart by considering measurement errors and autocorrelation
Journal of Statistical Computation and Simulation, Taylor & Francis 2023, Vol. 93, (16) : 2956-2981
Sabahno, Hamed
New statistical and machine learning based control charts with variable parameters for monitoring generalized linear model profiles
Computers & industrial engineering, Elsevier 2023, Vol. 184
Sabahno, Hamed; Amiri, Amirhossein
Simultaneous monitoring of the mean vector and covariance matrix of multivariate multiple linear profiles with a new adaptive Shewhart-type control chart
Quality Engineering, Taylor & Francis 2023, Vol. 35, (4) : 600-618
Sabahno, Hamed; Amiri, Amirhossein
Monitoring the multivariate coefficient of variation in presence of autocorrelation with variable parameters control charts
Quality Technology & Quantitative Management, Taylor & Francis 2023, Vol. 20, (2) : 184-210
Sabahno, Hamed; Celano, Giovanni
New machine-learning control charts for simultaneous monitoring of multivariate normal process parameters with detection and identification
Mathematics, MDPI 2023, Vol. 11, (16)
Sabahno, Hamed; Niaki, Seyed Taghi Akhavan
A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes
Computers & industrial engineering, Elsevier 2021, Vol. 151 : 106524-106524
Sabahno, Hamed; Amiri, Amirhossein; Castagliola, Philippe
A variable parameters multivariate control chart for simultaneous monitoring of the process mean and variability with measurement errors
Quality and Reliability Engineering International, John Wiley & Sons 2020, Vol. 36, (4) : 1161-1196
Sabahno, Hamed; Castagliola, Philippe; Amiri, Amirhossein
An adaptive variable-parameters scheme for the simultaneous monitoring of the mean and variability of an autocorrelated multivariate normal process
Journal of Statistical Computation and Simulation, Taylor & Francis Group 2020, Vol. 90, (8) : 1430-1465
Sabahno, Hamed; Castagliola, Philippe; Amiri, Amirhossein
A new development of an adaptive X − R control chart under a fuzzy environment
International Journal of Data Mining, Modelling and Management, InderScience Publishers 2019, Vol. 11, (1) : 19-44
Sabahno, Hamed
Optimal performance of the variable sample sizes Hotelling’s T2 control chart in the presence of measurement errors
Quality Technology & Quantitative Management, Taylor & Francis Group 2018, Vol. 16, (5) : 588-612
Sabahno, Hamed; Amiri, Amirhossein; Castagliola, Philippe
Evaluating the effect of measurement errors on the performance of the variable sampling intervals Hotelling's T 2 control charts
Quality and Reliability Engineering International, John Wiley & Sons 2018, Vol. 34, (8) : 1785-1799
Sabahno, Hamed; Amiri, Amirhossein; Castagliola, Philippe
Performance of the Variable Parameters Xbar Control Chart in Presence of Measurement Errors
Journal of Testing and Evaluation, ASTM International 2018, Vol. 47, (1) : 480-497
Sabahno, Hamed; Amiri, Amirhossein; Castagliola, Philippe
The Effect of Measurement Errors on the Performance of Variable Sample Size and Sampling Interval Xbar Control Chart
International Journal of Engineering - Transactions A: Basics, Materials and Energy Research Center 2017, Vol. 30, (7) : 995-1004
Sabahno, Hamed
Developing a partial backlogging deteriorating inventory model with selling price dependent demand rate and cycle length dependent selling price
2008 IEEE International Conference on Industrial Engineering and Engineering Management, Institute of Electrical and Electronics Engineers (IEEE) 2008 : 198-202
Haji, A.; Sabahno, Hamed; Haji, R.
Optimal Policy for a Deteriorating Inventory Model with Finite Replenishment Rate and with Price Dependant Demand Rate and Cycle Length Dependant Price
WCECS 2008: World CongressS on Engineering and Computer Science, The International Association of Engineers (IAENG) 2008 : 1053-1057
Sabahno, Hamed
Developing Two Deteriorating Inventory Models with Selling Price Dependant Demand Rate and Cycle Time Dependant Selling Price
Proceedings of the 37th International Conference on Computers and Industrial Engineering, Alexandria: Alexandria University 2007 : 835-844
Haji, Alireza; Haji, Rasoul; Sabahno, Hamed
View publications in DiVA