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fallahi--majid
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An investigation to effective parameters on the damage of dual phase steels by acoustic emission using energy ratio
, Article World Academy of Science, Engineering and Technology ; Volume 46 , 2010 , Pages 638-643 ; 2010376X (ISSN) ; Khamedi, R ; Sharif University of Technology
2010
Abstract
Dual phase steels (DPS)s have a microstructure consisting of a hard second phase called Martensite in the soft Ferrite matrix. In recent years, there has been interest in dual-phase steels, because the application of these materials has made significant usage; particularly in the automotive sector Composite microstructure of (DPS)s exhibit interesting characteristic mechanical properties such as continuous yielding, low yield stress to tensile strength ratios(YS/UTS), and relatively high formability; which offer advantages compared with conventional high strength low alloy steels(HSLAS). The research dealt with the characterization of damage in (DPS)s. In this study by review the mechanisms...
The Effect of Pressure on the Coexistence of Superconductivity and Magnetism in RuSr2GdCu2O8 and RuSr2Gd1.4Ce0.6Cu2O10-δ
, Ph.D. Dissertation Sharif University of Technology ; Akhavan, Mohammad (Supervisor)
Abstract
The coexistence of long-range magnetic order and superconductivity in the ruthenocuprate families, Ru1212 and Ru1222 has been studied both theoretically and experimentally. Historically these two different phases are incompatible with each other and in the most previous research reported on the coexistence of these phases, there have been observed separated magnetic and superconducting phases. However in the ruthenocuprate families, there is a single phase with both magnetic and superconducting phase which coexist with each other. It has been determined that superconductivity arises in CuO2 planes, and magnetic orders occur in RuO2. From experimental point of view, we have investigated the...
Investigating the Robustness of Scale Free Supply Networks by Using the Concept of Assortative and Disassortative Networks
, M.Sc. Thesis Sharif University of Technology ; Koorosh, Eshghi (Supervisor)
Abstract
Supply networks are often faced with disruptions that hampered the flow of goods, and have brought irreparable consequences. In this thesis, we evaluate the robustness of three echelon scale free supply chain networks consist of manufacturers, distributers and retailers from the perspective of complex network topologies and investigate the effect of assortativity and disassortativity level on the robustness of scale free supply networks. For this purpose, we use the degree preserving rewiring approach in order to increase and decrease assortativity and disassortativity of scale free networks. Then we use metrics in order to investigate the robustness and flexibility of supply networks and...
Insider Threats Detection based on Organizational Sensitive Data
, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasool (Supervisor)
Abstract
Insider threats are one of the most challenging threats in organizations, as individuals can escape the firewalls, intrusion detection systems, and other security mechanisms. People with managerial salaries can also perform devastating behavior against the organization using existing permits. Submission to computer systems, theft of valuable information, and bypassing organizational procedures are insider threats. Therefore, the need to pay attention to these threats is of particular importance. In this thesis, the aim is identifying insider threats on sensitive data. Sensitive data are either identified by the database manager or are known at the time of production due to sensitivity....
Experimental Analysis and Modeling of Crude Oil Viscosity at Downhole Conditions Using the Frtiction Theory
, M.Sc. Thesis Sharif University of Technology ; Taghikhani, Vahid (Supervisor)
Abstract
Viscosity is one of the most important properties used in simulating and optimizing transportation design and hydrocarbon reservoirs simulation. In this work, a new model based on the friction theory was used to correlate the viscosity for six different live and dead oil samples taken from the south of the Iranian oil region. As expounded by other researchers, in the friction theory, an equation of state is used to express the intermolecular viscous interactions. In model presented in this work, the standard cubic equations of state such as the SRK and PR were used to correlate the viscosity data for the samples under investigation. In the new model, the effect of critical viscosity on the...
Multi-Product constrained economic production quantity models for imperfect quality items with rework
, Article International Journal of Industrial Engineering and Production Research ; Volume 32, Issue 3 , 2021 ; 20084889 (ISSN) ; Hasani, A ; Fallahi, A ; Sharif University of Technology
Iran University of Science and Technology
2021
Abstract
One of the basic assumptions of classical production-inventory models is that all products are of perfect quality. However, in real manufacturing situations, the production of defective items is inevitable, and a fraction of the items produced may be naturally imperfect. In fact, items may be damaged due to production and/or transportation conditions in the manufacturing process. On the other hand, some reworkable items exist among imperfect items that can be made perfect by additional processing. In addition, the classical production-inventory models assume that there is only one product in the system and that there is an unlimited amount of resources. However, in many practical situations,...
Hall effect and sign reversal in Gd(Ba2-xNdx)Cu3O7+δ
, Article Journal of Magnetism and Magnetic Materials ; Volume 320, Issue 13 , 2008 , Pages 1884-1888 ; 03048853 (ISSN) ; Taheri, M ; Akhavan, M ; Sharif University of Technology
2008
Abstract
We have investigated the Hall measurement of Gd(Ba2-xNdx)Cu3O7+δ with x=0, 0.05, 0.1, 0.15, and 0.2 in a magnetic field of 0-1 T. The nominal samples has been prepared by the conventional solid-state reaction technique. The iodometric titration experiment was carried out for samples. The Rietveld analysis of the X-ray diffraction patterns indicates that samples are mainly single phase. The normal state Hall coefficient behaves as 1/T in all samples. All samples with nominal compositions show single sign reversal with variation of magnetic field and temperature. The Hall resistivity of the samples with x=0 and 0.1 close to the superconducting transition temperature changes its sign with...
Economic production quantity under possible substitution: a scenario analysis approach
, Article International Journal of Industrial Engineering and Production Research ; Volume 33, Issue 1 , 2022 ; 20084889 (ISSN) ; Salmasnia, A ; Fallahi, A ; Sharif University of Technology
Iran University of Science and Technology
2022
Abstract
This paper designs a Scenario analysis approach to determine the joint production policy for two products under possible substitution. The Scenario analysis is designed to improve decision-making by considering possible outcomes and their implications. The traditional multi-product production models assume that there is no possible substitution between products. However, in real-world cases, there are many substitutable products where substitution may occur in the event of a product stock-out. The proposed model optimizes production quantities for two products under substitution with the aim of minimizing the total cost of the inventory system, including setup and holding costs, subject to a...
The Effects of Intentional Process Models on Goal Modeling and Process Conformance Checking
, M.Sc. Thesis Sharif University of Technology ; Rafiei, Majid (Supervisor) ; Khedmati, Majid (Supervisor)
Abstract
In recent years, requirement engineering and goal modeling have gained more attention among different organisations. Therefore, different methods have been designed to discover stakeholders’ requirements and translate them into process and organizational goals. Various goal models have been introduced to represent these goals and their relations towards each other. Still, these methods are manual representations of different process scenarios and do not relate to the actual behavior. In 2014, Map Miner Method (MMM) was introduced to discover intentional process models from event logs. MMM uses Hidden Markov Model (HMM) as a means to represent the process as a map model of strategies and...
A sustainable production-inventory model joint with preventive maintenance and multiple shipments for imperfect quality items
, Article Scientia Iranica ; Volume 30, Issue 3E , 2023 , Pages 1204-1223 ; 10263098 (ISSN) ; Azimi Dastgerdi, M ; Mokhtari, H ; Sharif University of Technology
Sharif University of Technology
2023
Abstract
The quality of products, maintenance activities, and transportation policies are primary concerns of managers in inventory and production planning problems. Environmental issues and regulations are growing increasingly and they have attracted much attention to achieve sustainable production. Previous authors have conducted a wide range of studies on these problems separately. Regarding the gap of an integrated framework, a sustainable economic production quantity model is formulated by considering preventive maintenance and multiple shipments policy where a portion of produced items is defective. Two particular cases are studied. In Case I, the production period's demand has been satis ed by...
A Trajectory Recommendation System for Efficient Finding of Passengers
, M.Sc. Thesis Sharif University of Technology ; Khedmati, Majid (Supervisor) ; Rafiee, Majid (Supervisor)
Abstract
Recommending routes to city taxis in order to improve their performance in finding passengers can reduce traffic, pollution and waiting time for passengers, as well as this, increasing the efficiency of taxis can increase their income. In this study, by analyzing trajectory data obtained from 536 taxis in San Francisco over a period of one month, we generated networks of cells, each of which has time-dependent characteristics such as the probability of finding a passenger, the capacity of each cell, or the amount of demand exists is in the cell and the average speed of passing through that cell. also, the connections between these cells in order to make more use of the experiences of taxi...
A discrete differential evolution with local search particle swarm optimization to direct angle and aperture optimization in IMRT treatment planning problem
, Article Applied Soft Computing ; Volume 131 , 2022 ; 15684946 (ISSN) ; Mahnam, M ; Akhavan Niaki, S. T ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Intensity-modulated radiation therapy is a well-known technique for treating cancer patients worldwide. A treatment plan in this technique requires decision-making for three main problems: selection of beam angles, intensity map calculation, and leaf sequencing. Previous works investigated these problems sequentially. We present a new integrated framework for simultaneous decision-making of directions, intensities, and aperture shape, called direct angle and aperture optimization, and develop a mixed-integer nonlinear mathematical model for the problem. Due to the nonlinearity and the dimension of the problem, three efficient metaheuristics based on differential evolution (DE) called classic...
Direct aperture optimization for intensity modulated radiation therapy: two calibrated metaheuristics and liver cancer case study
, Article International Journal of Industrial Engineering and Production Research ; Volume 33, Issue 2 , 2022 ; 20084889 (ISSN) ; Mahnam, M ; Akhavan Niaki, S. T ; Sharif University of Technology
Iran University of Science and Technology
2022
Abstract
Integrated treatment planning for cancer patients has high importance in intensity modulated radiation therapy (IMRT). Direct aperture optimization (DAO) is one of the prominent approaches used in recent years to attain this goal. Considering a set of beam directions, DAO is an integrated approach to optimize the intensity and leaf position of apertures in each direction. In this paper, first, a mixed integer-nonlinear mathematical formulation for the DAO problem in IMRT treatment planning is presented. Regarding the complexity of the problem, two well-known metaheuristic algorithms, particle swarm optimization (PSO) and differential evolution (DE), are utilized to solve the model. The...
Assessing coalition in meeting environmental flow based on Shapley value and nash equilibrium: case study Aras River
, Article International Journal of Environmental Science and Technology ; Volume 19, Issue 7 , 2022 , Pages 6521-6530 ; 17351472 (ISSN) ; Zarghami, M ; Pishbahar, E ; Fallahi, F ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
Water allocation is a process of identifying the stakeholders, assessing the amount of water they need, and estimating the volume of renewable water resources. This study investigates the coalition possibilities among the riparian in the Aras River as a transboundary basin over-allocating the environmental flow share. To this end, first, the environmental flow is estimated downstream of the basin based on the annual potential runoff. Then, to estimate the agricultural production function in each country, the relationship between the agriculture value-added and the variables like annual potential runoff and capital in the agricultural sector is derived using the seemingly unrelated regression...
Unrelated parallel batch processing machine scheduling for production systems under carbon reduction policies: NSGA-II and MOGWO metaheuristics
, Article Soft Computing ; Volume 27, Issue 22 , 2023 , Pages 17063-17091 ; 14327643 (ISSN) ; Shahidi Zadeh, B ; Akhavan Niaki , T ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2023
Abstract
In recent years, the problem of extensive energy consumption and carbon emission in manufacturing companies has been highlighted. Efficient scheduling strategies can help governments and production managers to control the raised environmental concerns resulting from this problem. The goal of this research is to address a green scheduling problem for unrelated parallel batch processes, as a group of highly energy-intensive machines, by considering the emission reduction regulation for the first time. To this aim, two new cases of unrelated parallel batch processing machine scheduling problems under the tax and cap-and-trade policies are defined. The problems are formulated using a...
Improving Artificial Neural Network Predictive Performance Using Panel Data
, M.Sc. Thesis Sharif University of Technology ; Khedmati, Majid (Supervisor) ; Rafiee, Majid (Supervisor)
Abstract
The purpose of the present study is to develop neural network estimation method for hybrid or panel data which have a combination of two cross-sectional and time series structures and because of the features of both structures, their use in different sciences offers many advantages; and the analytical methods for this data structure are also different from other one-dimensional structures, so different and specific regression models are presented for this data structure. However, in the artificial neural network method, modeling the development for this data structure is neglected, so in the present study, using the concepts of panel regression methods and their application to the...
A constrained multi-item EOQ inventory model for reusable items: Reinforcement learning-based differential evolution and particle swarm optimization
, Article Expert Systems with Applications ; Volume 207 , 2022 ; 09574174 (ISSN) ; Amani Bani, E ; Akhavan Niaki, S. T ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
The growing environmental concerns, governmental regulations, and significant cost savings are the primary motivations for companies to consider the reuse and recovery of products in their inventory system. The previous research ignored several realistic features of reusable items inventory systems, such as the presence of multiple products and operational constraints. For the first time, this paper presents a new multiproduct economic order quantity inventory model for an inventory system of reusable products. The goal of the model is to determine the optimal replenishment quantity and reuse quantity of each item so that the system's total cost is minimized. Several operational constraints...
Grey wolf optimizer and whale optimization algorithm for stochastic inventory management of reusable products in a two-level supply chain
, Article IEEE Access ; 2023 , Pages 1-1 ; 21693536 (ISSN) ; Bani, E. A ; Fallahi, A ; Handfield, R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2023
Abstract
Product reuse and recovery is an efficient tool that helps companies to simultaneously address economic and environmental dimensions of sustainability. This paper presents a novel problem for stock management of reusable products in a single-vendor, multi-product, multi-retailer network. Several constraints, such as the maximum budget, storage capacity, number of orders, etc., are considered in their stochastic form to establish a more realistic problem. The presented problem is formulated using a nonlinear programming mathematical model. The chance-constrained approach is suggested to deal with the constraints’ uncertainty. Regarding the nonlinearity of the model, grey wolf optimizer (GWO)...
Developing Novel Multiobjective Approaches for Direct Angle and Aperture Optimization Problem in Intensity Modulated Radiation Therapy
, M.Sc. Thesis Sharif University of Technology ; Akhavan Niaki, Taghi (Supervisor) ; Mahnam, Mehdi (Co-Supervisor)
Abstract
Intensity-modulated radiation therapy is a well-known technique to treat cancer patients worldwide. A treatment plan in this technique requires decision-making for three main problems: selection of beam angles, intensity map calculation, and leaf sequencing. Previous works have investigated these problems sequentially. In this research, we present a new integrated framework for simultaneous decision-making of directions, intensities, and apertures shape, called direct angle and aperture optimization, and develop a mixed-integer nonlinear mathematical model for the problem. At first, the problem's single-objective model is established using the quadratic dose penalty function. After that,...
Effect of Ca substitution on crystal structure and superconducting properties of ferromagnetic superconductor RuSr 2-xCa xGd 1.4Ce 0.6Cu 2O 10 -δ
, Article Journal of Magnetism and Magnetic Materials ; Volume 324, Issue 6 , 2012 , Pages 949-954 ; 03048853 (ISSN) ; Mazaheri, M ; Nikseresht, N ; Rønnow, H. M ; Akhavan, M ; Sharif University of Technology
2012
Abstract
We have investigated the effect of Ca substitution for Sr site on structural, magnetic and superconducting properties of RuSr2 -x CaxGd1.4Ce0.6Cu2O10 -δ system. In this system, the magnetic coupling of RuO 2 and CuO 2 plays an important role in magnetic and superconducting states. X-ray diffraction analysis shows that all samples are single phase and the lattice parameters decrease continuously by increasing Ca content. The onset superconducting transition temperature is found to decrease with Ca substitution. As Ca content increases, rotation of the RuO 6 octahedron increases and RuO(1)Ru angle decreases. These variations strengthen the magnetic moments in the RuO 2 planes. The enhancement...