Sharif Digital Repository

Urban transportation is one of the key parameters and indicators that determine the sustainable development of the city, in other words, to understand and evaluate the sustainability of a city, its transportation system must be considered. Bicycles can be considered the most sustainable means of urban transportation not only for short trips but also for medium trips.Urban bike networks in major cities are being systematically serviced and, like any other system to manage this volume of events, are facing challenges that we aim to improve one of the major costs of this system. The biggest challenge we face on this network is the imbalance between Inbound and outbound bicycles at different... 

In today's world, we see an increase in competition between businesses to maintain survival in the first stage and create a competitive advantage in the next stage. To have along.To achieve this, one of the best resources that can be used by any business is to use the stored data of their users' behavior so that they can optimize their marketing plans based on data and accurate categorization. To be.In this regard, in the forthcoming research, with the help of data mining methods to categorize and evaluate them by adopting the right policies, targeted and optimized marketing activities, and more specifically in this research, using data sciences Analysis and categorization of shared bicycle... 

Scheduling problem specially surgery room scheduling is noteworthy and well known in optimization and machine learning literature which improve resource usage means cost reduction and patient experience means satisfaction increase.Surgery Rooms are one of the most costly section of the hospital. In addition to this, Surgeon are expensive resource and all the hospitals have limited capacity. By scheduling we can improve patient’s experience and resource management. That’s why scheduling Surgery Room is important and noteworthy.In this research we consider surgery duration and patient length of stay(LOS) probabilistic. Our approach for handling this is stochastic programming in which our... 

Population growth and the escalating use of electric devices have led to a surge in electricity demand. However, the construction of adequate infrastructure to meet this additional demand is highly expensive. To address this issue that sometimes causes power outages, dynamic pricing for electricity, a demand management technique, has gained significant importance. By employing this method, prices can be adjusted on an hourly basis, enabling consumers to regulate their consumption in response to these price fluctuations. The prices can be determined based on different objective functions. This research aims to develop a comprehensive framework for determining the optimal hourly electricity... 

In this research we investigate one of the heuristic algorithms of scheduling, Squeaky Wheel Optimization (SWO) in order to solve an RCPSP problem with minimization of Makespan as the objective function; and we will implement this algorithm on Primavera which is one of the most popular software systems in Project Management. The main purpose of this project is to prepare a way to implement the scheduling algorithms on one of the popular Project Management Software Systems. Hence, we have created an application which can interact with this kind of systems, gets data from their databases, run a scheduling algorithm on it, and updates the data in the databases. One of the main characteristics... 

In this thesis, the resilience of energy supply networks and the application of Agent Based Modeling in the resilience analysis of power microgrids are studied. The main idea is to use microgrids as a solution to make power systems resilient. A microgrid with autonomous agents consisting of renewable resources, non-dispatchable generators, dispatchable generators, residential loads, critical loads, battery storages, and microgrid controller is investigated. Each agent is autonomous and has independent behavior such that the interaction between these agents produces emergent phenomena at the system level in the microgrid. In the developed model, residential consumers try to optimize their... 

The literature suggests that organizations cannot be competitive if their business and information technology strategies are not aligned. Yet achieving strategic alignment continues to be a major concern for business executives. A number of alignment models have been offered in the literature, primary among them the Strategic Alignment model (SAM), Strategic Alignment Maturity model, and IT Governance (via ITIL). The Information Technology Infrastructure Library (ITIL) presents a comprehensive set of guidelines for defining, designing, implementing and maintaining IT Service Management processes. It provides platform that can be used to leverage complementary effects between IT and business... 

PMBOK is a standard that is the subset of Project Management Knowledge and includes all areas. ITIL is a framework that allows IT organizations using best practices in IT Service Management. Both of them includes some process that during implementation and execution should act based on them. The goal of developing a methodology for implementing ITIL V3 based on PMBOK is executing a comparison mapping for connecting these two difference fields. IT managers know about ITIL implementation, but most of project managers are not familiar about it. If we guess that implementing ITIL V3 is a project, a project manager can do it based on PMBOK. With mapping these two fields, project managers are able... 

As an extension of known project scheduling problems which consider only time-independent costs, this problem includes both time- independent procurement costs and time-dependent renting costs for the resources. Consequently, in addition to projects where all resources are bought, we can deal with projects where resources are rented.
A resource Renting problem is a project-scheduling problem in which the availability levels of the rented resources are considered decision variables and the goal is to find a schedule and resource renting such that some objective function optimizes. In this thesis, we consider a resource renting problem in which the goal is to maximize the net present... 

In this research a mathematical formulation is presented for project scheduling problem subject to non-renewable perishable resources where the objective is minimize the cost of ordering and maintenance of resources. We use the framework of a resource constrained project scheduling problem (RCPSP) with finish-start precedence relations between activities and resources will be perished after a determined duration and must be procured. Resource procurement have ordering and purchasing costs and excess resources must be stored and have maintenance cost. There is a unique way to perform the activities and preemption is not allowed.
This work employs Genetics Algorithms to solve the problem... 

In different organizations, especially project-based ones, enhancement and growth of internal capabilities of project management for promoting organizational strategies and tactics is crucial. Till now, several organizational project management standards and methodologies have been developed, in which by comparing the activities and project management processes with the best practices, organizations are assessed and their positions are determined according to these best practices and its current gaps related to the maturity and excellency are identified. In spite of this, due to enormous number of best practices, as well as constraints and existing capabilities in different parts of the... 

In recent years, in addition to the stock market, a market has been created in Iran under the name of commodity exchange market. In this market, the product supplier announces some product specifications and buyers also announce their demand and bid price. The following two situations may occur: 1. The total amount of demand is less than or equal to the amount of supply.In this case all buyers receive the product at their bid price. Obviously, first all buyers announce a price lower than the base price so that if this happens, they can buy the required product at the lowest possible price. 2. If the supply is less than the demand, the market enters the competition. In this way, the new bid... 

Rewarding system is one of the most important and basic subsystem of human resources and it is one of the main concerns of the managers in any organization, since an appropriate bonus payment system increases motivation and efficiency of individuals and vice versa an inappropriate rewarding system provokes frustration in staff .Rewarding system is more important in project-oriented organizations because the most influential factor in the success and profitability of the organizations is motivated employees. The basic question in this study is that what kind of payment reward a project-oriented organization should have in order to get its employees motivation and ultimately make the... 

Kidney transplants are vital for patients with end-stage kidney disease. Therefore, it is essential to allocate kidneys to patients efficiently. Kidney Exchange Programs allow patients with incompatible donors to exchange donors and receive a suitable kidney. In practice, these exchanges occur within cyclic or chain-like structures. Planned transplants may be canceled before the transplant takes place, for a variety of reasons. Failure of one transplant in a cycle or chain can result in the failure of all transplants in that cycle or chain, which can lead to drastic inefficiency in the exchange program.In this thesis, we study kidney exchange programs under uncertainty. We consider... 

Portfolio selection is a major problem in organizations and plays an important role in meeting the strategic objectives of organizations. For this aim, the management of the organization has to take into account many constraints in selection of projects in order to make an acceptable decision. Investment Budget is one of these constraints. On the other hand, in many cases the management of organizations must consider many decision criteria. These criteria always have conflict among each other and the decision maker try to tradeoff among them. This decision making requires exact and sufficient information for the decision maker to make a correct decision. The need for sufficient information... 

Nowadays we see competition between organizations to maintain excellence and survival in business. Organizations should focus on maintaining and satisfying their customers in their services and products, because it is the customers who, as buyers of services and products, provide the company's revenue stream. With the advancement of computer technology today, a large amount of customer data can be stored and maintained. This data is a valuable resource for analyzing customer behavior and making the right decisions for the organization. Organizations need to use customer behavioral data to make their marketing activities smart and data-driven. In fact, organizations need to move towards... 

In today's world, the value of housing is important from different perspectives, so we need to be able to accurately predict the factors that affect the value of housing. The presence of various and complex factors in the valuation of housing requires us to create a coherent structure for predicting the value of housing based on machine learning methods. Accordingly, it is necessary to model each category of housing features according to the appropriate method so that the final value of the price forecast in terms of accuracy is at the highest possible level. Therefore, using a combined structure of machine learning methods as well as a multi-step approach to predict the value of factors... 

Nowadays, researchers working on classifiers which are designed to predict minority class. In this work, we attempt to improve fraud detection performance, with minimum possible complexity. In this regard, by incrementing model sensitivity to minority class samples, we solve the problem of model ignorance to these instances. Moreover, by using clustering, we cluster similar inputs based on their features, and split each class to smaller bins. Then with considering the fact that, prediction probability threshold influences the final performance, we define statistical hypothesis testing exclusively for each cluster to evaluate predictions with expected range. In this method, model is not... 

Since the advent of online real estate database companies like Zillow, Trulia and Redfin, the problem of automatic estimation of market values for houses has received considerable attention. Several real estate websites provide such estimates using a proprietary formula. Although these estimates are often close to the actual sale prices, in some cases they are highly inaccurate. One of the key factors that affects the value of a house is its interior and exterior appearance, which is not considered in calculating automatic value estimates. In this work, we evaluated the impact of visual characteristics of a house the buyer's proposed price. Using deep convolutional neural networks on a large... 

Communications is considered as a large part of project managers’ activities. Communications is one of success factors in the projects. A project manager in addition to have a good sight on project knowledge areas needs to know how to use them in order to reach a suitable point with integrating them by using communications. A survey on communications can predispose lots of dissertations in this field & subsequently causes improvement & continues development.
In this thesis, different areas of project body of knowledge have been explained & effect of communication on them has been described. In next step, this study depicts how to manage communications in projects & project-oriented...