Department of Industrial Engineering
The Department of Industrial Engineering, founded in 2006 at the Ferdowsi University of Mashhad, is distinguished for its efficient, effective and up-to-date educational and research services while having broad national and international collaborations. In 2010, the first group of MS students were admitted to the program. The department of Industrial Engineering aims to train well-educated engineers and researchers who can put their knowledge to work for the society and become successful entrepreneurs. This aim is accomplished through education, research, and other relevant professional services. The Department of Industrial Engineering has sustained communication with the society members in order to recognize their needs and solve their problems through conducting applied research.
The Department of Industrial Engineering also attempts to train well-educated engineers and researchers capable of conducting genuine research of global significance to expand the boundaries of knowledge.
Ph.D. students in Industrial Engineering can start doing their thesis after passing a comprehensive exam. More
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Mohammadali Pirayesh |
| Associate Professor |
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| Department of Industrial Engineering |
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| pirayesh@um.ac.ir |
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| +985138806062 |
| Areas | Bachelor's | Master's | Ph.D |
| Industrial Engineering |
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Academic staff
Research
Recent books
Recent journal articles
M.h. Ghadiri Rad, & Hosseini, S. (2024). Application of the CUF–EFG method for buckling analysis of the multilayer GPLs–CNTs-reinforced FG plates with cutout. Mechanics of Advanced Materials and Structures, 31 (3), 533-549.
Mohammadloo, M., Motahari Farimani, N., Feizi, M., & Pirayesh, M. (2024). Developing of an asset/liability allocation model for banks. Afro-Asian Journal of Finance and Accounting, 14 (1), 115-141.
Hosseini, S., Jan Sladek, Vladimir Sladek, & Chuanzeng Zhang (2024). Effects of the strain gradients on the band structures of the elastic waves propagating in 1D phononic crystals: An analytical approach. Thin-Walled Structures, 194 (2), 111316-111316.
Yeganeh, A., Saddam Akber Abbasi, Sandile Charles Shongwe, Jean-claude Malela-majika, & Shadman, A. (2024). Evolutionary support vector regression for monitoring Poisson profiles. Soft Computing, 28 (6), 4873-4897.
Zheng-yang Li, Marius Mellmann, Yanzheng Wang, Tian-xue Ma, Dongjia Yan, Mikhail V. Golub, Hosseini, S., Donghuan Liu, Peijun Wei, & Chuanzeng Zhang (2024). Non-Fourier heat conduction in 2D thermal metamaterials. Materials Today Communications, 38 (1), 107828-107828.
Rezaee Khabooshan, B. (2024). Analytical Expressions for Similarity Measure Between Gaussian Interval Type-2 Fuzzy Sets With Uncertain Means. IEEE Transactions on Fuzzy Systems, 32 (5), 2603-2613.
Akhgar, S., Dehghanian, F. (2024). Supply chain behaviour under carbon regulations: an experimental study with system dynamic simulation. International Journal of Systems Science: Operations and Logistics, 11 (1), -.
Modares, A., Motahari Farimani, N., & Dehghanian, F. (2024). A new vendor-managed inventory four-tier model based on reducing environmental impacts and optimal suppliers selection under uncertainty. Journal of Industrial and Management Optimization, 20 (1), 188-220.
Eshkofti, K., & Hosseini, S. (2024). A new modified deep learning technique based on physics-informed neural networks (PINNs) for the shock-induced coupled thermoelasticity analysis in a porous material. Journal of Thermal Stresses, 47 (6), 798-825.
Rezaei Chaijan, M., Dehghanian, F. (2024). Modeling residential photovoltaic adoption: A system dynamics approach for solar energy expansion. Energy Policy, 189 (189), 114133-114133.
Hosseini, S. (2024). Initial load factor adjustment through genetic algorithm for the generalized displacement control method: Implementation on non-rigid origami analysis. Thin-Walled Structures, 201 (), 111972-.
Rezaeian, A., Koosha, H., Ranjbar, M. (2024). The assignment of project managers to projects in an uncertain dynamic environment. Annals of Operations Research, 341 (), 1107-1134.
Yeganeh, A., Shadman, A. (2024). Shallow vs. Deep Learning Models for Groundwater Level Prediction: A Multi-Piezometer Data Integration Approach. Water, Air, and Soil Pollution, 235 (7), -.
Hosseini, S. (2024). Nonlocal strain gradient-based nonlinear vibration analysis of nonlinear FG three-phase HJCNT/MWCNT/epoxy composite microbeam resonators using a modified micromechanical model. Physica Scripta, 99 (8), 085208-085238.
Hashemi, S., & Ranjbar, M. (2024). Optimal resource allocation and routing in robotic mobile fulfillment systems. Computers and Operations Research, 165 (), 106571-106586.
Ghorbanzadeh, M., & Ranjbar, M. (2024). Energy-aware flow shop scheduling with uncertain renewable energy. Computers and Operations Research, 170 (1), 106741-106753.
Eshkofti, K., & Hosseini, S. (2024). The modified physics-informed neural network (PINN) method for the thermoelastic wave propagation analysis based on the Moore-Gibson-Thompson theory in porous materials. Composite Structures, 348 (1), 118485-118485.
Niazi, N., & Razavi, H. (2024). پیشبینی شیوه تمین مالی استارتاپها با استفاده از الگوریتمهای یادگیری ماشین و درنظرگرفتن سوگیریهای رفتاری. , 10 (1), 238-261.
Dastani, Z., Koosha, H., & Mohamadzadeh Moghaddam, A. (2024). User preferences in ride-sharing mathematical models for enhanced matching. Scientific Reports, 14 (1), -.
Deiranlou, M., Dehghanian, F., & Pirayesh, M. (2024). Joint determination of purchasing and production lot sizes in an unreliable production system. Scientia Iranica, 0 (0), -.
Hosseini, S. (2024). Non-Fourier thermal focusing by gradient thermal metamaterials based on the Cattaneo–Vernotte model. Journal of Applied Physics, 136 (19), -.
Tashakori Asgharian, S., Ranjbar, M. (2024). Dynamic soft-kill weapon-target assignment in naval environments. Computers and Industrial Engineering, 197 (1), 110606-110616.
Malekkhani, Z., & Ranjbar, M. (2024). Optimal scheduling of smart home appliances with a stochastic power outage: A two-stage stochastic programming approach. Sustainable Energy, Grids and Networks, 40 (1), 101564-101577.
Recent theses and dissertations
Policies, rules and governance
Iran, Mashhad, Azadi Square, Ferdowsi University of Mashhad
Faculty of Engineering, Department of Industrial Engineering
Phone: +985138806061
Fax: +985138807183
Postal code: 917751111