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    Design of a neuro-fuzzy-regression expert system to estimate cost in a flexible jobshop automated manufacturing system

    , Article International Journal of Advanced Manufacturing Technology ; Volume 67, Issue 5-8 , 2013 , Pages 1809-1823 ; 02683768 (ISSN) Fazlollahtabar, H ; Mahdavi Amiri, N ; Sharif University of Technology
    2013
    Abstract
    We propose a cost estimation model based on a fuzzy rule backpropagation network, configuring the rules to estimate the cost under uncertainty. A multiple linear regression analysis is applied to analyze the rules and identify the effective rules for cost estimation. Then, using a dynamic programming approach, we determine the optimal path of the manufacturing network. Finally, an application of this model is illustrated through a numerical example showing the effectiveness of the proposed model for solving the cost estimation problem under uncertainty  

    Construction cost estimation of spherical storage tanks: artificial neural networks and hybrid regression—GA algorithms

    , Article Journal of Industrial Engineering International ; 2017 , Pages 1-10 ; 17355702 (ISSN) Arabzadeh, V ; Niaki, S. T. A ; Arabzadeh, V ; Sharif University of Technology
    Abstract
    One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases are the conventional methods to deal with cost estimation. The current study presents data-driven methods for cost estimation based on the application of artificial neural network (ANN) and regression models. The learning algorithms of the ANN are the Levenberg–Marquardt and the Bayesian regulated. Moreover, regression models are hybridized with a genetic algorithm to obtain better estimates of the... 

    Construction cost estimation of spherical storage tanks: artificial neural networks and hybrid regression—GA algorithms

    , Article Journal of Industrial Engineering International ; Volume 14, Issue 4 , 2018 , Pages 747-756 ; 17355702 (ISSN) Arabzadeh, V ; Akhavan Niaki, S. T ; Arabzadeh, V ; Sharif University of Technology
    SpringerOpen  2018
    Abstract
    One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases are the conventional methods to deal with cost estimation. The current study presents data-driven methods for cost estimation based on the application of artificial neural network (ANN) and regression models. The learning algorithms of the ANN are the Levenberg–Marquardt and the Bayesian regulated. Moreover, regression models are hybridized with a genetic algorithm to obtain better estimates of the... 

    Conceptual design of a 5 MW OTEC power plant in the Oman Sea

    , Article Journal of Marine Engineering and Technology ; Volume 16, Issue 2 , 2017 , Pages 94-102 ; 20464177 (ISSN) Hamedi, A. S ; Sadeghzadeh, S ; Sharif University of Technology
    Taylor and Francis Ltd  2017
    Abstract
    Developing ocean energy extraction, including ocean thermal energy conversion (OTEC), has been of interest to researchers for many decades. OTEC is a free fuel technology and could be used as a baseline power generation. These advantages plus the engineering challenge have resulted in researchers striving to design and construct prototype devices. Making use of worldwide experience, all sections of a conceptual design including site selection, technical specifications and cost estimation were carried out for an Iranian OTEC power plant. A 5 MW closed cycle floating plant with an annual average temperature difference of 22°C was chosen at a 33 km distance from Chabahar harbour. Deep seawater... 

    Aging aircraft cost analysis using system dynamics modeling

    , Article 29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014 ; 7-12 September , 2014 ; ISBN: 3932182804 Fouladi, E ; Shadaab, N ; Abedian, A ; Tanara, A. K ; Sharif University of Technology
    Abstract
    Ways to reduce an airline's cost has been studied for years. In fact, in order to achieve this goal, ones need to know different types of airline's costs including; fuel and oil, maintenance, Ticketing, passenger services, etc. and their impact on the total cost of an airline. According to announcement of ICAO [1], "maintenance cost (about 11% of total cost) is the second major cost after fuel and oil". Therefore, this may attract airline owners' attention to find ways to control maintenance cost and eventually the total cost of an airline. Though, there are many systematic approaches to analyze cost reduction and making policies, in this article, SD modeling is applied to develop a... 

    Design of an expert system to estimate cost in an automated jobshop manufacturing system

    , Article 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010, 25 July 2010 through 28 July 2010, Awaji ; 2010 ; 9781424472956 (ISBN) Fazlollahtabar, H ; Mahdavi Amiri, N ; Sharif University of Technology
    2010
    Abstract
    We propose a cost estimation model based on a fuzzy rule back-propagation network (BPN), configuring the rules to estimate the cost under uncertainty. A multiple linear regression analysis is applied to analyze the rules and identify the effective rules for cost estimation. Then, using a dynamic programming approach we determine the optimal path in the manufacturing network. Finally, an application of this model is illustrated through a numerical example showing the effectiveness of the proposed model for solving the cost estimation problem under uncertainty  

    A Complexity-Based Model for Cost Estimation of Jet UAVs

    , M.Sc. Thesis Sharif University of Technology Haji Jafari, Mohammad (Author) ; Banazadeh, Afshin (Supervisor)
    Abstract
    Cost Estimation plays an essential and role in UAV (Unmanned Aerial Vehicles) Projects. By increasing the complexity of new unmanned systems, the importance of this task augments. Additionally, up to now, a comprehensive approach has not been adopted internationally. But in parallel a number of international companies and organizations has developed specific methods by themselves; confined to their corporate.
    This project pursues developing a complexity-based model for cost estimation of unmanned aerial vehicles, especially Jet UAVs. However, it’s anticipated that this model may be utilized for all kind of systems, but it seems that jet UAVs use it with a better and more reliable... 

    Investigation of Domino Effect Consideration in Process Design

    , M.Sc. Thesis Sharif University of Technology Sohrabi Shoabjareh, Ali (Author) ; Rashtchian, Davoud (Supervisor)
    Abstract
    Domino accidents are one types of incidents that lead to irreparable damage to industrial units. Since the consequences of such incidents are far more than the first level incident, consideration of this issue and the provision of appropriate strategies for identifying and evaluating this type of incident is very important. Major efforts have been made in the area of process safety is in risk assessment and identify possible scenarios and their probability of occurrence, and have not addressed the financial consequences of an incident. In this research, an algorithm has been developed to estimate the financial losses incurred with an industrial unit due to a domino incident and various... 

    Development of Functional Cost Estimation Models by Machine Learning

    , M.Sc. Thesis Sharif University of Technology Parvizi Nejad, Alborz (Author) ; Haji, Alireza (Supervisor) ; Fatahi Valilai, Omid (Supervisor) ; Siadat, Ali (Co-Supervisor)
    Abstract
    Organizations in the oil and gas industry often deal with a variety of logistic challenges. These organizations need to utilize innovative technologies like machine learning and other IT-based technologies to reduce costs and help achieve a lower-emissions environment. These industries involve a global supply chain comprised of domestic and international transportation, inventory control, materials handling, import/export facilitation, and information technology. Currently, in these industries, a classic model for executing supply-chain management techniques is considered. However, companies can optimize their supply chains to generate more productivity for better financial returns. Applying... 

    A heuristic complexity-based method for cost estimation of aerospace systems

    , Article Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering ; Volume 227, Issue 11 , 2013 , Pages 1685-1700 ; 09544100 (ISSN) Banazadeh, A ; Jafari, M. H ; Sharif University of Technology
    2013
    Abstract
    Cost estimation plays an essential role in the development of aerospace systems that are perhaps the most complex, time- and labor-consuming ones. Regarding this matter, it is unavoidable to take a systematic approach to build a realistic model through a deliberative, heuristical and easy-to-do process in the early stages of design. In the current study, complexity index theory is utilized to develop a heuristic complexity-based method to estimate various costs of aerospace systems. This method promises to be logically and practically more reliable and accurate than classical parametric methods. Logically, manipulating a group of parameters, instead of only one or two, reduces the... 

    Attitude estimation and sensor identification utilizing nonlinear filters based on a low-cost MEMS magnetometer and sun sensor

    , Article IEEE Aerospace and Electronic Systems Magazine ; Volume 30, Issue 12 , December , 2015 , Pages 20-33 ; 08858985 (ISSN) Mirzaei Teshnizi, M ; Shirazi, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    A combination of low-cost micro-electoro-mechanical sensors (MEMSs) and nonlinear attitude estimation algorithm techniques can provide an inexpensive and accurate system for navigation and attitude determination. The features of MEMSs are their light weight and small size; hence, the MEMSs have found significant attention in low-cost navigation and control systems [1]. A common disadvantage of these sensors is the significant errors that accompany the corresponding measurements. The accuracy obtained using MEMSs depends on a number of factors, such as scale factor, bias, and random noise corrections [2]. However, these low-cost sensors suffer from large noise and errors, making calibration... 

    Investment cost optimization for industrial project portfolios using technology mining

    , Article Technological Forecasting and Social Change ; Volume 138 , 2019 , Pages 243-253 ; 00401625 (ISSN) Azimi, S ; Rahmani, R ; Fateh rad, M ; Sharif University of Technology
    Elsevier Inc  2019
    Abstract
    Large technology-intensive enterprises and companies face a constant challenge: How can a set of selected high-tech projects get done in a manner that would minimize the total cost across all projects? In majority of cases, projects are assumed independent, leading to a separate cost evaluation. This assumption often does not hold for real-world project portfolios, frequently sharing overlapping technologies. In this paper, we show how the order of the execution of the projects can directly affect the total cost of the portfolio, due to shared dependencies. Modeling the problems in this area can be achieved by combining two main fields: graph theory and technology mining. A novel method is... 

    Toward a business model for software product line architecture

    , Article 8th ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2010, 24 May 2010 through 26 May 2010, Montreal, QC ; 2010 , Pages 50-56 ; 9780769540757 (ISBN) Tanhaei, M ; Moaven, S ; Habibi, J ; Ahmadi, H ; Sharif University of Technology
    2010
    Abstract
    Nowadays, software product line is an approach to reduce costs of software development, decrease time to market, and increase capabilities of reuse in designing and exploiting software development processes. Moreover, other quality attributes of the project domain should be considered to enhance quality of the product. Meanwhile, taking advantage of software product line makes developers capable of estimating development costs and time to market in a more realistic way. However, old approaches to estimate cost of development and foresee time to market are not suitable enough for software product line. In this paper, some important business parameters and a way to calculate cost and time to... 

    An analytical method for spiral-wound heat exchanger: design and cost estimation considering temperature-dependent fluid properties

    , Article International Journal of Numerical Methods for Heat and Fluid Flow ; 2020 Hosseinian, S. M ; Mostafazade Abolmaali, A ; Afshin, H ; Sharif University of Technology
    Emerald Group Publishing Ltd  2020
    Abstract
    Purpose: Spiral-wound heat exchangers (SWHEs) are widely used in different industries. In special applications, such as cryogenic (HEs), fluid properties may significantly depend on fluid temperature. This paper aims to present an analytical method for design and rating of SWHEs considering variable fluid properties with consistent shell geometry and single-phase fluid. Design/methodology/approach: To consider variations of fluid properties, the HE is divided into identical segments, and the fluid properties are assumed to be constant in each segment. Validation of the analytical method is accomplished by using three-dimensional numerical simulation with shear stress transport k-ω model, and... 

    A Neural Network Based Model for Cost Estimation of Industrial Building at the Project's Definition phase

    , M.Sc. Thesis Sharif University of Technology Shafiee, Alireza (Author) ; Alvanchi, Amin (Supervisor)
    Abstract
    Annually there are many small-scale industry projects implemented in Iran, most of which are financed by local financial institutes. The financing agreements between project owners and financial institutes are usually formed and finalized during the initiation phase and are based on feasibility studies done at the early stages; before project design and construction begin. However, in many cases actual costs of projects exceed the costs estimated in feasibility studies which have been approved by financial institutes. Limited financial resources in the country, from one side, and the lengthy process of increasing the project financing limit, from another side, cause delays in the project... 

    Improve Product Development Cost Estimation Models Using Axiomatic Design

    , M.Sc. Thesis Sharif University of Technology Eftari, Behnam (Author) ; Hushmand, Mahmoud (Supervisor)
    Abstract
    Considering the competitive environment of businesses, organizations are forced to focus on reduction of product life cycle. Product development processes are usually start with the idea “customer’s needs” and its evaluation, and then implementation testing, marketing and etc. To maintain competiveness the process of product development should be considered continuously. Since the life cycle of products are reducing by introduction of new technologies, one may select the strategy of product development by changing the functions of the current product. Annual exhibitions that are involved in innovations, where technology-driven organizations participates to introduce their new products... 

    A Framework to Forecast Highway Construction Materials Prices

    , M.Sc. Thesis Sharif University of Technology Faghih, Amir Mohsen (Author) ; Kashani, Hamed (Supervisor)
    Abstract
    Due¬ to the volatile nature of material prices, projecting highway construction costs are proven to be very difficult, leading to many challenges in cost estimation process. Bid preparations as well as project planning and control processes are also negatively affected by the concerns about the inaccuracy of cost projections. There is a growing body of evidence that suggests the use of inaccurate cost estimate can result in bid loss or profit loss for contractors and hidden price contingencies, delayed or cancelled projects, inconsistency in budgets and unsteady flow of projects for owner organizations. Analysis of historical data indicates that a relationship between construction materials... 

    A robust R&D project portfolio optimization model for pharmaceutical contract research organizations

    , Article International Journal of Production Economics ; Vol. 158, issue , 2014 , p. 18-27 Hassanzadeh, F ; Modarres, M ; Nemati, H. R ; Amoako-Gyampah, K ; Sharif University of Technology
    Abstract
    Pharmaceutical drug Research and Development (R&D) outsourcing to contract research organizations (CROs) has experienced a significant growth in recent decades and the trend is expected to continue. A key question for CROs and firms in similar environments is which projects should be included in the firm's portfolio of projects. As a distinctive contribution to the literature this paper develops and evaluates a business support tool to help a CRO decide on clinical R&D project opportunities and revise its portfolio of R&D projects given the existing constraints, and financial and resource capabilities. A new mathematical programming model in the form of a capital budgeting problem is... 

    A robust loss function approach for a multi-objective redundancy allocation problem

    , Article Applied Mathematical Modelling ; 2015 ; 0307904X (ISSN) Salmasnia, A ; Ameri, E ; Niaki, S. T .A ; Sharif University of Technology
    Elsevier Inc  2015
    Abstract
    A redundancy allocation problem consists of the selection of a number of redundancies to be allocated in each subsystem of a series-parallel configuration to maximize system reliability, while minimizing overall system cost. Most existing studies either ignore system cost or assume deterministic component reliabilities. However, the selection of a network system design requires the estimation of its reliability and cost. Therefore, the uncertainty associated with such estimates must be considered in the decision process. In this study, an efficient method based on the loss function approach is proposed to solve the redundancy allocation problem. This approach not only optimizes the overall... 

    A robust loss function approach for a multi-objective redundancy allocation problem

    , Article Applied Mathematical Modelling ; Volume 40, Issue 1 , 2016 , Pages 635-645 ; 0307904X (ISSN) Salmasnia, A ; Ameri, E ; Akhavan Niak, S. T ; Sharif University of Technology
    Elsevier Inc  2016
    Abstract
    A redundancy allocation problem consists of the selection of a number of redundancies to be allocated in each subsystem of a series-parallel configuration to maximize system reliability, while minimizing overall system cost. Most existing studies either ignore system cost or assume deterministic component reliabilities. However, the selection of a network system design requires the estimation of its reliability and cost. Therefore, the uncertainty associated with such estimates must be considered in the decision process. In this study, an efficient method based on the loss function approach is proposed to solve the redundancy allocation problem. This approach not only optimizes the overall...