Sharif Digital Repository

Studying the major effects of facility layout on competitive abilities has been a field of interest for researchers. Selection of production layout is amongst the most important decisions because it has a major role on the efficiency of a company like the ability of quick respond to customers’ diverse needs.
In this study we intend to obtain a ranking of production layouts considering agility in production which leads to responding quickly to the diversity of demand. Considering the nature of a decision making problem, we use PSI method. This is a multi attribute decision making method in which there is no need for considering the relative importance between the attributes. The main... 

The brushless DC Limited-Angle Torque Motor (LATM) has been widely used in area of aerospace equipment, robot drives, optical scanning systems and any drive systems that require limited motion, ranging from the simple ON-OFF servo valves to the accurate tracking of a reference signal. This paper presents the optimum design procedures of a brushless direct current limited-angle torque motor. According to a request from industry, a two-pole torque motor with a toroidal armature winding was designed based on analysis of magnetic equivalent circuit of motor structure, and using selected ferromagnetic material and rare-earth permanent magnets (PM). To select the best design solution and optimize... 

This study will examine the interests of Iran in entering one of the largest and most outreaching LNG markets which is China. In order to examine these interests, understanding China's policy on importing LNG and the competitive environment in this market is necessary. First, the decision theory is used to simulate China's policy on adjusting the import mix during the demand growth period of 2011 to 2017.This provides a simulated picture of its policy on increasing demand for the 2020. Then, the behavior of other LNG exporting countries to China is analyzed using game theory approach. By analyzing the sensitivity of the parameters in which uncertainty exist, it was revealed that Iran's... 

In recent years, environmental issues has been gaining a great deal of attention in the field of Supply Chain and Supplier Selection. In this research, we first review the current literature and then we try to find the research gap in this area. According to the studies done in this area, no research on supplier selection and optimal order allocation to the suppliers have simultaneously investigated environmental issues, the possibility of storage, green routing of vehicles, purchasing discount, multi-product, and multi-period state in a green supply chain. Therefore, in this study, a multi-objective mathematical model is proposed for supplier selection and optimal order allocation in a... 

Regarding recent progress in the field of decision theory and the discovery of the important factors in human decision making, it is suggested by researchers to build up models that take all of, or at least most of, those factors into account simultaneously. In this research, first, we present some important achievements in the field of decision theory then develop a model based on these factors. Therefore, we focus on influential factors in human decision making, especially recent ones in neuroeconomics and mathematical models are presented to describe their effects. Then a descriptive model is proposed and changed it to a prescriptive model by adding some assumptions and standard charts.... 

Replicating server information at shorter distances from users and delivering them at more suitable times, decreases average delay of serving requests as well as balancing backhaul link traffic. Due to limited cache size, cache placement strategies play key role in efficiency of such approaches. Well-known heuristic caching mechanisms such as Least Frequently Used (LFU) and Adaptive Replacement Cache (ARC), while quite efficient in terms of complexity, are not optimal in terms of hit rate which is the key caching performance index. In this paper, we address the optimal cache placement problem from an analytic Markov Decision Process (MDP)-based view to maximize cache hit rate. In this... 

Recently, reducing greenhouse gas emissions and the damage to the environment is very important. Due to the increasing environmental awareness of the people on the one hand, and government pressure to reduce damage to the environment on the other hand, has led organizations to pay more attention to this important issue. In addition, these organizations in order to participate in the global competition, should consider green criteria along with other criteria. Hence, the organizations to outsourcing part of their work are looking for Suppliers who along with other criteria also meet the criteria for being green. In this study, a new two-stage approach based on fuzzy... 

Individuals have been regarded as independent decision makers in the majority of transportation analysis. However, individual behaviors are usually affected by the interactions between the members in group decisions; and consequently, individual decision making paradigm could result in less-accurate predictions. Besides, as the data used for travel demand modeling typically comes from household level surveys, the idea of random sampling holds at household level and not the individual; and therefore, individual information would not be consistent with the theory of the discrete choice models when the household is the actual sampling unit. The present paper aims at modeling the way that... 

Environmental management with emphasis on protecting environment is today one of the most important problems for customers, governments, employees and competitors, and international and global pressures has required organizations to produce environmentally consistent products and services. This challenge has resulted in emergence of a new concept namely green supply change management in the realm of business which is a combination of environmental thinking and supply chain, which will be followed by competitive advantages for firms. This approach has widely attracted the attention of industries, governments and institutions relevant to environment. The aim of this study is to identify main... 

Despite the profound impact of formal strategic planning on the performance of companies, there have been a few researches on the factors that influence the starting phase of strategic planning process. This research tries to identify these factors and clarify the decision process of conducting strategic planning. In other words, the main purpose of this study is to identify the rationales of companies for initiation of strategic planning. Regarding limited previous studies on this topic, especially about the decision process about conducting strategic planning in Iranian companies, the case study methodology is used. The study is conducted in two phases. In the first phase, five companies... 

After introducing “Prosopect Theory” by Kahneman and Tversky in 1979, it is mostly used as an alternative to expected utility theory in order to study human decision making under risky situatutions. Loss aversion has been considered as an important aspect of this theory. In this study, we review loss aversion and the effects of education and gender on it. Finally, we study the effect of repeating a gamble on its participants’ loss aversions. The results show that education and gender have direct effects on loss aversion and repeating a gamble can decrease loss aversion of participants.

 

The results of the conducted research indicate that although there is a period of time for pedestrians to cross the street safely at signalized intersections, some pedestrians cross the street when they find a space between the passing cars even though their traffic light is red. This behavior has caused a great increase in the number of pedestrian accidents. Understanding pedestrians’ behavior can be helpful in reducing these types of accidents.In order to analysis the pedestrians behavior while crossing the street two types of data were collected; a field questionnaires and a concurrent video image recordings of the pedestrians crossing the streets.The 435 questionnaires collected... 

Decision Tree is used to analyze situations with sequential decisions. Applying Decision tree method in such situations leads to identifying the best sequence of decisions. On the other hand, System Dynamics is a powerful method to gain useful insight into situations of complexity, interconnections, feedback loops nonlinearities and time delays. System Dynamics is able to model complexities and interconnections of situations and provide precise understanding about it. Therefore, combination of these two methods could be very effective in analysis of problems that firstly, comprise of sequential decisions with multiple uncertainty and secondly, illustrate complex behavior. Supply chain is one... 

This thesis investigates various modulation recognition systems both in analogue and digital forms. We are looking for a recognition technique considering practical implementation issues. To recognize the modulation, the career frequency is supposed to be known and a bandpass signal is received. Besides, we investigate some digital Automatic Modulation Recognition (AMR) methods. The techniques based on the features of the signal have less computational complexity compared to Maximum Likelihood (ML) techniques; hence they are more desirable for practical implementation. In this project, analog modulations are implemented using C++ software. For the convenience of users, here, two graphical... 

One of the important branches in machine learning is finding patterns and hidden features, which is useful for prediction and decision making in many cases. Finding patterns and features of financial data and particularly stock market data may play an important role in guidance, development and proper decision making related to such data sets. In this thesis, we focus on discovering and collecting appropriate methods in machine learning which can be helpful for gathering proper information from financial data and applying them on actual data  

Nowadays due to increasing environmental considerations and effort to reducing of the fossil fuels consumption, the necessity of hydroelectric power plants development is emerged. The purpose of this study is to suggest a method of spatial analysis for finding sites with appropriate potential for construction of these power plants, using TOPSIS and GIS. In this research, using the Python programming language, in software environment of Arc GIS version 9.3, local hydrological model was generated using the DEM layer and using of streams ordering methods, the overall situation along the river were processed. In the next step, with using of fuzzy TOPSIS algorithm implementation in software... 

In this study, the intensity of child labor has been investigated by modeling household behavior in a framework of collective decision-making on resource allocation, and for this purpose, a household utility maximization problem has been used in which child’s and parents’ wages, non-working incomes, education level for bargaining power as well as several variables at the social level such as unemployment rate, divorce rate and Gini coefficient have been used to reflect labor market conditions. In this study, the structure of equations for girls and boys in urban and rural areas has been estimated by using raw household budget data for 2015 in Iran and multivariate Tobit technique. Findings... 

Determining the best location for new wells is a complex problem that depends on reservoir and fluid properties, well and surface equipment specifications, and economic criteria. Various approaches have been proposed for this problem. Among those, direct optimization using the simulator as the evaluation function, although accurate, is in most cases infeasible due to the number of simulations required. This study proposes a hybrid optimization technique (HGA) based on the genetic algorithm (GA) with helper functions based on the polytope algorithm and the neural network. Hybridization of the GA with these helper methods introduces hill-climbing into the stochastic search and also makes use... 

Environmental flows supply critical contributions to wetland health and economic development, while wetlands are one of the richest ecosystems due to diversity of the ecological species. The Shadegan Wetland is the located in the south-west of Iran, at the top of the Persian Gulf. It is the largest wetland of the country with an area of almost 400,000 hectares. The wetland plays a significant role, both hydrological and ecological in the natural functioning of the northern coast of the Gulf. Moreover, Shadegan Protected Zone is of high economic and social importance, as its vegetation is assumed the main source of feeding the wildlife species. On the other hand, the wetland has the potential... 

Organizations adopts different strategies to manage their resources and equipment. This strategies can be categorized through two distinct group. The first group is outsourcing and the second one is in-house management. In some organizations due to the strategic aspects of the equipment, the competitive advantage or restrictive policies, there is a low tendency for outsourcing. Through this approach, the equipment and resources are idle due to partial need on organization. This causes a high amount of investment blockage which faces the organization with high cost of missing investment opportunities. Through the strategic insight, the capitals which have a high potential for making revenue...