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Journal articles on the topic 'Cost Estimation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Ahmed, Shehab, and Mohamed Abdelalim Ahmed. "Utilization BIM For Integrating Cost Estimation and Cost Control in Construction Projects." International Journal of Management and Commerce Innovations 11, no. 1 (2023): 102–20. https://doi.org/10.5281/zenodo.7923308.

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<strong>Abstract:</strong> Cost was adapted before using manual quantity surveying by spreadsheet that estimator take the quantity from the 2D drawing and input data manually. With emerging Building Information Modelling (BIM) in Architecture, Engineering, and Construction (AEC) industry. The concepts has changed then and BIM became essential ruler in all phases of construction. allows project participants to design, analyse BIM, sequence, and explore entire project model in contrast to CAD drawing, the object in BIM has also physical properties that drive object. Traditional cost methods have

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Ekung, Samuel, Adeniran Lashinde, and Emmanuel Adu. "Critical Risks to Construction Cost Estimation." Journal of Engineering, Project, and Production Management 11, no. 1 (2021): 19–29. http://dx.doi.org/10.2478/jeppm-2021-0003.

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AbstractThe prevalence of cost overrun in project delivery suggests an acute dearth of inclusive understanding of the effect of risks on construction cost estimation. In aberrant to the generic assumptions, customary to inquiries in construction risk researches, this paper appraised critical construction estimating risks. The study evaluated the sources, frequency and significance of construction estimating risks, using data from a questionnaire survey of 206 quantity surveyors in Nigeria. The data were analysed using factor analysis, Fussy Set Theory, Terrell Transformation Index (TTI), and K

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K Gilson, Nikhil, and Alester Joseph Vanreyk. "Review of Cost Estimation Models." International Journal of Scientific Engineering and Research 4, no. 3 (2016): 42–44. https://doi.org/10.70729/ijser15714.

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Kahandawa, Ravindu, Niluka Domingo, Gregory Chawynski, and S. R. Uma. "Factors impacting post-earthquake damage repair cost estimations." International Journal of Disaster Resilience in the Built Environment 12, no. 1 (2020): 29–49. http://dx.doi.org/10.1108/ijdrbe-10-2019-0071.

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Purpose Reconstruction processes after an earthquake require estimating repair costs to decide on whether to repair or rebuild. This requires an accurate post-earthquake cost estimation tool. Currently, there are no post-earthquake loss estimation models to estimate repair costs accurately. There are loss assessment tools available, namely, HAZUS, performance assessment calculation tool (PACT), seismic performance and loss assessment tool (SLAT) and seismic performance prediction tool, which have not been specifically used for post-earthquake repair cost estimation. This paper aims to focus on

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R., Poorna Chandra Sekhar, and G. Anjan Babu Dr. "Comparison of Software Cost Estimation Techniques An Overview." International Journal of Trend in Scientific Research and Development 1, no. 5 (2017): 26–32. https://doi.org/10.31142/ijtsrd2248.

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The industry of software should be efficient. Due to rapid change in technology, implementation of complex software systems at cheaper cost and the urge to maintain better quality software are some of the major challenges for the software companies. One of the toughest works is cost estimation, in the field of software engineering. It is the estimation of total cost required in developing software. Researchers have proposed various methods of cost estimation. This paper gives an insight into the various models and techniques used in estimating cost of the software. The benefits and drawbacks o

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Kurasova, O., V. Marcinkevičius, V. Medvedev, and B. Mikulskienė. "Early Cost Estimation in Customized Furniture Manufacturing Using Machine Learning." International Journal of Machine Learning and Computing 11, no. 1 (2021): 28–33. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1010.

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Accurate cost estimation at the early stage of a construction project is a key factor in the success of most projects. Many difficulties arise when estimating the cost during the early design stage in customized furniture manufacturing. It is important to estimate the product cost in the earlier manufacturing phase. The cost estimation is related to the prediction of the cost, which commonly includes calculation of the materials, labor, sales, overhead, and other costs. Historical data of the previously manufactured products can be used in the cost estimation process of the new products. In th

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WOPARA, Morgan Manuchim, Joseph AJIENKA, Alwell NTEEGAH, and Erasmus NNANNA. "Development of a Probabilistic Cost Model for Well Intervention Cost Estimation." International Journal of Research and Scientific Innovation XI, no. V (2024): 1007–19. http://dx.doi.org/10.51244/ijrsi.2024.1105066.

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Accurate cost estimates are crucial for assessing the commercial viability and business case of well intervention projects, considering the limited available resources. This study presents the development of a comprehensive cost estimation model tailored specifically for rigless well intervention projects. We used the probabilistic approach to develop a cost estimation model for well intervention to achieve the research objective. The developed cost model was transformed into a computer program using pseudocodes in the C-Sharp programming language. The costs of well interventions performed on

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Jiang, Shao Fei, and Cong Da Lu. "Cost Estimation Model for Few Samples and Information in Product Early Design Stage." Materials Science Forum 628-629 (August 2009): 311–16. http://dx.doi.org/10.4028/www.scientific.net/msf.628-629.311.

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Product cost estimation in early design stage puzzles researchers for long-time. A new product cost estimation model is proposed, which is applicable for few estimating samples and product information in early design stage. Similarity between the estimating product and the samples are calculated by model of Euclidean distance. Both of utilization ratio of estimating samples and reliability of estimation result are improved based on samples’ sequencing for effect of product cost. The cost estimation model is applied in design of claw of brake disc. The estimation result indicates that the prese

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K., Jayapratha, and Muthamizharasan M. "A RELATIVE STUDY ON COST ESTIMATION TECHNIQUES." International Journal of Scientific Research and Modern Education 2, no. 1 (2017): 183–86. https://doi.org/10.5281/zenodo.817563.

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Software Cost Estimation is one of the most important part in software development. It involves in estimating the effort and cost in terms of money to complete the software development. Software Cost Estimation is very important when lines of code for the particular project exceeds certain limit, also when the software deployed with too many bugs and uncovered requirements the project will go incomplete. Software cost estimation of a project plays a vital role in acceptance or rejection of its development. There have been lot of Software cost estimation models in use. Appropriate cost estimati

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Ahmed, Mehmood, Noraini Ibrahim, Wasif Nasir, and Adeel Ahmed. "Systematic literature review on global software development based software cost estimation models and cost drivers." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 3 (2023): 1485. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1485-1494.

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<p>Global software development (GSD) is a well - established discipline of software engineering that focuses on the advantage of a global environment. Effective cost estimation is critical for the success of GSD projects. Cost estimation in a GSD environment is a challenging task. As a re sult, GSD must emphasize cost estimation. Findings show that a number of researchers over the past few decades have emphasized GSD - based cost estimation in GSD; to the best of our knowledge, however, existing cost estimation have not taken into account man y GSD - based cost drivers that must be consi

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Yang, Hai. "Research on Improved Staged Software Cost Estimation Method Based on COCOMO Model." Advanced Materials Research 989-994 (July 2014): 1501–4. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.1501.

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The accuracy of software cost estimation is essential for software development management. By introducing and analyzing the estimation methods of software cost systematically, the paper discussed the necessary of considering the software maintenance stage and estimating the software cost by separating the procedure of software development into several small stages. Then a staged software cost estimation method based on COCOMO model was proposed. The use of the new software cost estimation method proposed by this paper not only contributes to the cost control of software project, but also effec

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Talla Ouambo, Steve Alan, Alexandre Teplaira Boum, Adolphe Moukengue Imano, and Jean-Pierre Corriou. "Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm." Journal of Control Science and Engineering 2021 (December 29, 2021): 1–14. http://dx.doi.org/10.1155/2021/3776506.

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Although moving horizon estimation (MHE) is a very efficient technique for estimating parameters and states of constrained dynamical systems, however, the approximation of the arrival cost remains a major challenge and therefore a popular research topic. The importance of the arrival cost is such that it allows information from past measurements to be introduced into current estimates. In this paper, using an adaptive estimation algorithm, we approximate and update the parameters of the arrival cost of the moving horizon estimator. The proposed method is based on the least-squares algorithm bu

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Yang, Ming, Yuan Li, and Yong Chao Wang. "Using Gray Forecasting Estimates Cost of Aviation Project." Materials Science Forum 532-533 (December 2006): 725–28. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.725.

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China aviation project has little sample and the traditional method can not estimate the project cost accurately. This paper proposes a method estimating aviation project cost based on gray systematic theory. We divide aviation product into systems or parts and regard them as cost estimation unit. The gray forecasting model GM (1, 1) was set up based on historical cost data of cost estimation unit. If the model’s precision doesn’t meet with the requirement of aviation project cost estimation, the revision model GM (1, 1) must be set up to raise the estimation precision The experimental results

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Saif, Huda. "Software Cost Estimation." Global Sci-Tech 8, no. 1 (2016): 15. http://dx.doi.org/10.5958/2455-7110.2016.00003.3.

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Chatzipetrou, Panagiota. "Software Cost Estimation." International Journal of Service Science, Management, Engineering, and Technology 10, no. 3 (2019): 14–31. http://dx.doi.org/10.4018/ijssmet.2019070102.

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Software cost estimation (SCE) is a critical phase in software development projects. A common problem in building software cost models is that the available datasets contain projects with lots of missing categorical data. There are several techniques for handling missing data in the context of SCE. The purpose of this article is to show a state-of-art statistical and visualization approach of evaluating and comparing the effect of missing data on the accuracy of cost estimation models. Five missing data techniques were used: multinomial logistic regression, listwise deletion, mean imputation,

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Heemstra, F. J. "Software cost estimation." Information and Software Technology 34, no. 10 (1992): 627–39. http://dx.doi.org/10.1016/0950-5849(92)90068-z.

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Jiménez Navarro, E. N., A. Solís Santomé, D. A. Padilla Pérez, F. A. Domínguez Pacheco, C. J. Sosa Paz, and C. Silva Sánchez. "Cost Model for CubeSat Projects in Mexico." Journal of Physics: Conference Series 2475, no. 1 (2023): 012008. http://dx.doi.org/10.1088/1742-6596/2475/1/012008.

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Abstract This work focused on designing a cost estimation model in the area of space engineering for the development of nanosatellite projects in Mexico. See employed the use of methodologies such as Hall and Jenkins, software engineering cost estimating methodology, as well as project management methodology. Similarly, the COSYSMO methodology and parametric cost methodology were incorporated to guide this research towards the space sector. The estimation results are based on satellite engineering equations and forecasts of the inflation factor. Finally, a graphical user interface named SACANI

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Abhijit, N. Bhirud 1. Vinayak R. Ambrule 2. "PRE-DESIGN STAGE CONSTRUCTION COST PREDICTION OF BUILDING PROJECTS USING ARTIFICIAL NEURAL NETWORK." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 9 (2017): 314–25. https://doi.org/10.5281/zenodo.891900.

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Cost is one of the major factors in decision making at the early stages of a building construction process. The real challenge in cost estimation of building projects at the early stage is lack of information. So decision making is important in cost estimation for building design processes which needs an estimation tool for designers, estimators and project managers. Artificial neural networks (ANN) method is most effective and appropriate technique for initial stage cost estimation. This project is highlighting the study of Application of Artificial neural network (ANN) for pre design cost es

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Ba’abbad, Ibrahim Mohammad, and M. Rizwan Jameel Qureshi. "Quality Extended Use Case Point (QUCP): An Improved Cost Estimation Method." International Journal of Computer Science and Mobile Computing 10, no. 6 (2021): 1–9. http://dx.doi.org/10.47760/ijcsmc.2021.v10i06.001.

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The quality of a product is one of the major interests of the manufacturing process in all industries. The software industry imposes to construct a project with several phases to ensure producing high-quality software. A software development company estimates time, effort and cost of the project during planning phase. It is important to have accurate estimations to reduce the risks of project failure. Several cost estimation methods are practiced in the software development companies such as Function Point (FP), Use Case Points (UCP), Constructive Cost Model I and II and Story Points (SP). UCP

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Thamer Qassem, Nedaa, and Ibrahim Ahmed Saleh. "Survey of Cost Estimating Software Development Using Machine Learning." International Research Journal of Innovations in Engineering and Technology 07, no. 12 (2023): 67–72. http://dx.doi.org/10.47001/irjiet/2023.712009.

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The estimate of software project costs and efforts is a critical step. Meeting a plethora of diverse criteria, such as resource allocation, cost estimate, effort estimation, time estimation, and the shifting expectations of software customers, is a component of software estimating. Software Engineering Models assist project managers in estimating the cost, delivery time, and personnel that were crucial for software development. SDCE (Software Development Cost Estimation) has long been an exciting and developing area. There are several intelligent models used to predict or estimate the cost of

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Sekhar, R. Poorna Chandra, and Dr G. Anjan Babu. "Comparison of Software Cost Estimation Techniques: An Overview." International Journal of Trend in Scientific Research and Development Volume-1, Issue-5 (2017): 26–32. http://dx.doi.org/10.31142/ijtsrd2248.

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Gupta, Sanjali. "A Comparison between Various Software Cost Estimation Models." International journal of Emerging Trends in Science and Technology 03, no. 11 (2016): 4771–76. http://dx.doi.org/10.18535/ijetst/v3i11.08.

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Yang, Seung-Won, Seong-Wan Moon, Hangyeol Jang, Seungyeon Choo, and Sung-Ah Kim. "Parametric Method and Building Information Modeling-Based Cost Estimation Model for Construction Cost Prediction in Architectural Planning." Applied Sciences 12, no. 19 (2022): 9553. http://dx.doi.org/10.3390/app12199553.

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Economic feasibility and cost analysis in the preliminary planning stage of early-phase construction projects have a significant impact on project management and implementation. However, while estimating the construction cost per unit area, the existing approaches do not account for factors other than the area-related information, causing estimation error. Therefore, a construction cost estimation model that can be utilized in the early phase of a construction project is developed in this study based on BIM in the architectural planning stage. Moreover, goodness of fit and accuracy of the mode

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Pishdad, Pardis, and Ihuoma O. Onungwa. "Analysis of 5D BIM for cost estimation, cost control and payments." Journal of Information Technology in Construction 29 (July 26, 2024): 525–48. http://dx.doi.org/10.36680/j.itcon.2024.024.

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Increasing expectancy for efficiency in the delivery of building projects and the adoption of lean production processes for construction has made the necessity for the development of an integrated system for cost estimating, cost monitoring, cost control, and payments in the construction lifecycle important. Existing 5D BIM tools are used to estimate the cost of projects during the preconstruction period. There is a lack of integration between the 5D BIM models, existing progress monitoring tools, and payment systems used in construction. Lack of standardization in the use of model elements th

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Manas Prasad Rout. "Advanced Machine Learning Software Cost Prediction Model using AdaBoost and COCOMO Cost Parameters." Journal of Information Systems Engineering and Management 10, no. 49s (2025): 1266–72. https://doi.org/10.52783/jisem.v10i49s.10128.

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Playing a pivotal role in software development, the Constructive Cost Model (COCOMO) offers a systematic and structured approach to cost estimation. It stands as a widely utilized model, aiding project managers in estimating the required effort, time, and cost for software development projects. COCOMO takes into consideration diverse factors, including the project's size, complexity, and the experience of the development team. The utilization of COCOMO empowers software development teams to make informed decisions related to resource allocation, project scheduling, and budgeting. Its applicati

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Reddy Anireddy, Abhiram. "Labor Cost Estimation: Factors Influencing Labor Costs in Civil Construction and Methods for Accurate Forecasting." International Journal of Science and Research (IJSR) 13, no. 10 (2024): 1611–14. http://dx.doi.org/10.21275/sr241022223036.

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Valdés-Souto, Francisco, and Lizbeth Naranjo-Albarrán. "Software project estimation using smooth curve methods and variable selection and regularization methods using a wedge-shape form database." Proceedings of the Institute for System Programming of the RAS 35, no. 1 (2023): 123–40. http://dx.doi.org/10.15514/ispras-2023-35(1)-9.

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Context: The impact of an excellent estimation in planning, budgeting, and control, makes the estimation activities an essential element for the software project success. Several estimation techniques have been developed during the last seven decades. Traditional regression-based is the most often estimation method used in the literature. The generation of models needs a reference database, which is usually a wedge-shaped dataset when real projects are considered. The use of regression-based estimation techniques provides low accuracy with this type of database. Objective: Evaluate and provide

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Silas, Faki Agebee, Musa Yusuf, and Anah Hassan Bijik. "Hybridization of Class Responsibility Collaborators Model (HCRCM) with Function Point to enhance Project Estimation Cost in Agile Software Development." Circulation in Computer Science 2, no. 6 (2017): 20–24. http://dx.doi.org/10.22632/ccs-2017-252-32.

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Estimating software cost in an agile system in terms of effort is very challenging. This is because the traditional models of software cost estimation do not completely fit in the agile development process. This paper presents a methodology to enhance the cost of project estimation in agile development. The hybridization adopts Class Responsibility Collaborators models with function point thereby boosting the agile software development estimation process. The study found out that adopting the Hybridized Class Responsibility Collaborator with function point has great improvement on cost estimat

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Bhawana Verma, Satish Kumar Alaria. "Design & Analysis of Cost Estimation for New Mobile-COCOMO Tool for Mobile Application." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 1 (2019): 27–34. http://dx.doi.org/10.17762/ijritcc.v7i1.5222.

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Software cost estimation is a resource forecasting method, which is required by the software development process. However, estimating the workload, schedule and cost of a software project is a complex task because it involves predicting the future using historical project data and extrapolating to see future values. For cost estimates for software projects, several methods are used. Among the various software cost estimation methods available, the most commonly used technology is the COCOMO method. Similarly, to calculate software costs, there are several cost estimating tools available for so

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Raheem, Kadhim. "Unit Price and Cost Estimation Equations through Items Percentage of Construction Works in a Desert Area." Journal of Engineering 21, no. 2 (2015): 37–47. http://dx.doi.org/10.31026/j.eng.2015.02.03.

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This research will cover different aspects of estimating process of construction work in a desert area. The inherent difficulties which accompany the cost estimating of the construction works in desert environment in a developing country, will stem from the limited information available, resources scarcity, low level of skilled workers, the prevailing severe weather conditions and many others, which definitely don't provide a fair, reliable and accurate estimation. This study tries to present unit price to estimate the cost in preliminary phase of a project. Estimations are supported by develo

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Al-daoud, Zouhair, and Ali Mohamed Humod. "NEURAL NETWORK APPLICATION FOR BUILDING PROJECTS COST ESTIMATION." Journal of Engineering 17, no. 02 (2011): 331–39. http://dx.doi.org/10.31026/j.eng.2011.02.10.

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This work presents a neural network based cost estimating method, developed for the generationof conceptual cost estimates for total building and electromechanical systems in building project,by using eight parameters available at the early design phase. This model establishes amethodology that can provide an economical and rapid means of cost estimating. Eighteen lighrise building projects, built between 1996 and 2009 in Middle East countries used in this study.The performance of developed cost models was tested against costs incurred by projects not usedin training of those models. Results s

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Nicolaou, Panicos, Deborah L. Thurston, and James V. Carnahan. "Machining Quality and Cost: Estimation and Tradeoffs." Journal of Manufacturing Science and Engineering 124, no. 4 (2002): 840–51. http://dx.doi.org/10.1115/1.1511169.

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Simultaneous improvement of machining cost, quality and environmental impact is sometimes possible, but after the Pareto optimal frontier has been reached, decisions must be made regarding unavoidable tradeoffs. This paper presents a method for formulating a mathematical model for first estimating quality, cost and cutting fluid wastewater treatment impacts of two machining operations (end milling and drilling), and then for tradeoff decision making. The milling quality estimation model is developed through virtual experimentation on a simulation model, while the drilling quality estimation mo

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Sonmez, Rifat. "Conceptual cost estimation of building projects with regression analysis and neural networks." Canadian Journal of Civil Engineering 31, no. 4 (2004): 677–83. http://dx.doi.org/10.1139/l04-029.

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Conceptual cost estimates play a crucial role in initial project decisions, although scope is not finalized and very limited design information is available during early project stages. In this paper, the advantages and disadvantages of the current conceptual cost estimation methods are discussed and the use of regression, neural network, and range estimation techniques for conceptual cost estimation of building projects are presented. Historical cost data of continuing care retirement community projects were compiled to develop regression and neural network models. Three linear regression mod

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Oyewo, Toyese, Odunayo Magret Olarewaju, Melanie Bernice Cloete, and Olukorede Tijani Adenuga. "Environmental costs estimation and mathematical model of marginal social cost: A case study of coal power plants." Environmental Economics 12, no. 1 (2021): 90–102. http://dx.doi.org/10.21511/ee.12(1).2021.08.

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An increase in electricity production is proportional to environmental risks due to continuous energy production. The paper aims to quantitatively estimate the environmental costs and mathematically model the marginal social cost associated with the lifespan of the coal power plants. Results revealed South Africa Tier 1 company optimum level of electricity production per annum at around 2.15 gigawatts, considering the emission costs and reasonable profit. 85% of the total emissions during the combustion phase average cost of the C02 emission discharged by coal is calculated as 0.23c/KWh, 0.085

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Le, Hang Thu Thi, Veerasak Likhitruangsilp, and Nobuyoshi Yabuki. "A BIM-DATABASE-INTEGRATED SYSTEM FOR CONSTRUCTION COST ESTIMATION." ASEAN Engineering Journal 11, no. 1 (2021): 45–59. http://dx.doi.org/10.11113/aej.v11.16666.

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This paper presents a building information modeling (BIM)-database-integrated system for estimating the construction costs of building projects. The proposed system consists of four main modules: (1) the relational database management module, (2) the visualized BIM-integrated module, (3) the cost estimation module, and (4) the BIM-integrated report module. The relational database management module is designed to store and update the necessary data, which are extracted from BIM models. The visualized BIM-integrated module assists users in visualizing the complex building elements while performi

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Kutlu, Levent, and Ran Wang. "Estimation of cost efficiency without cost data." Journal of Productivity Analysis 49, no. 2-3 (2018): 137–51. http://dx.doi.org/10.1007/s11123-018-0527-9.

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Munguía, J., J. Ciurana, and C. Riba. "Neural-network-based model for build-time estimation in selective laser sintering." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 8 (2009): 995–1003. http://dx.doi.org/10.1243/09544054jem1324.

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Cost assessment for rapid manufacturing (RM) is highly dependent on time estimation. Total build time dictates most indirect costs for a given part, such as labour, machine costs, and overheads. A number of parametric and empirical time estimators exist; however, they normally account for error rates between 20 and 35 per cent which are then translated to inaccurate final cost estimations. The estimator presented herein is based on the ability of artificial neural networks (ANNs) to learn and adapt to different cases, so that the developed model is capable of providing accurate estimates regar

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Turin, Raymond, Oguz Dagci, and Man-Feng Chang. "Low-Cost Air Estimation." SAE International Journal of Engines 2, no. 1 (2009): 357–69. http://dx.doi.org/10.4271/2009-01-0590.

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Zhukov, V. E. "Frequent Flyer Cost Estimation." World of Transport and Transportation 19, no. 4 (2022): 74–80. http://dx.doi.org/10.30932/1992-3252-2021-19-4-8.

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The marketing activity of a modern airline is quite diverse. Under the conditions of an oligopoly, airlines develop their business in competition for a passenger.In modern conditions in Russia, the use of dumping methods of the early 1990s is very ineffective. There are no weak airlines left on the long-distance air transportation market, and in regional markets large companies lose to small regional carriers due to the high cost of performing flights on large-capacity aircrafts of the airline’s fleet.Generally, non-price methods of competition come out on top. Flexible tariff policy, advertis

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Имамов, М. М. "Project cost estimation methods." Экономика и предпринимательство, no. 8(133) (November 16, 2021): 659–71. http://dx.doi.org/10.34925/eip.2021.133.8.127.

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Актуальность исследования обусловливается тем, что правильные оценка и управление стоимостью проектов требуют наличия определённых знаний и навыков у персонала, изучающего проект, для дальнейшего принятия руководством адекватного решения о запуске проектов. Стоимостная оценка должна оказать помощь команде в определении направлении развития проекта. Однако для многих менеджеров она представляет собой сложный и пугающий процесс, поэтому его часто упрощают или вообще игнорируют. Поэтому при отсутствии системы оценки могут возникнуть проблемы с реализацией планируемого проекта. Цель статьи заключа

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Lotfi, Ehsan, M. Darini, and M. R. Karimi-T. "Cost estimation using ANFIS." Engineering Economist 61, no. 2 (2016): 144–54. http://dx.doi.org/10.1080/0013791x.2015.1104568.

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Sparrius, Ad. "Tutorial: Cost estimation techniques." INCOSE International Symposium 18, no. 1 (2008): 2367–446. http://dx.doi.org/10.1002/j.2334-5837.2008.tb00925.x.

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Jadhav, Tushar. "Review of cost estimation practices for building projects using BIM." Sustainable Engineering 1, no. 1 (2024): 44–55. https://doi.org/10.51200/susten.v1i1.5218.

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Cost management remains one of the key challenges in architectural, engineering and construction (AEC) projects. Building information modeling (BIM) has gained popularity amongst AEC industry professionals due to its better visualization and clash detection abilities. The present study therefore attempts to review the cost estimation practices for building projects using BIM. The objective of the present study is to find answers to the research questions viz., 1) What are the various methodologies adopted for estimating building cost using BIM? and 2) Is BIM popular tool amongst cost managemen

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Jadhav, Tushar. "Review of cost estimation practices for building projects using BIM." Sustainable Engineering 1, no. 1 (2024): 44–55. https://doi.org/10.51200/se.v1i1.5218.

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Abstract:

Cost management remains one of the key challenges in architectural, engineering and construction (AEC) projects. Building information modeling (BIM) has gained popularity amongst AEC industry professionals due to its better visualization and clash detection abilities. The present study therefore attempts to review the cost estimation practices for building projects using BIM. The objective of the present study is to find answers to the research questions viz., 1) What are the various methodologies adopted for estimating building cost using BIM? and 2) Is BIM popular tool amongst cost managemen

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Aprianti, E., S. Hamzah, and M. A. Abdurrahman. "The Analysis of Cost Estimation using Cost Significant Model on Bridge Construction in South Sulawesi." IOP Conference Series: Earth and Environmental Science 921, no. 1 (2021): 012073. http://dx.doi.org/10.1088/1755-1315/921/1/012073.

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Abstract One of the fundamental problems faced by the province of South Sulawesi is the factor of accessibility, so the role of bridges is quite important. For this reason, the budget planning for standard bridge construction projects also needs to be efficient in terms of preparation and accurate in terms of budget. The Cost Significant Model is one of the total construction cost estimation models that relies more on the prices that have the most influence on the total project cost as the basis for estimation. In general, this study uses data from steel frame bridge construction projects in S

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Nwankwo, L. C., and U. Ajator. "Analysis of factors affecting Efficient Practices and Techniques for Allocating Provisional Sums in Construction Management." International Journal of Real Estate 1, no. 1 (2025): 148 —. https://doi.org/10.5281/zenodo.14981462.

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Cost estimation for electrical services in construction projects remains a critical challenge, particularly in Nigeria, where cost uncertainties in mechanical and electrical (M&E) services lead to budget overruns and project delays. The estimation of provisional sums for electrical installations is often imprecise due to incomplete design specifications, fluctuating market prices, and the absence of standardized estimation frameworks. These limitations impact financial planning, contractor-client relationships, and overall project efficiency. This study aims to analyse effective cost estim

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Rahmani, Intan, and Bambang Herumanta. "COMPARISON OF ESTIMATION OF REINFORCED CONCRETE STRUCTURE WORKING COSTS BASED ON THE CONCEPT OF COMPUTER-AIDED DESIGN (CAD) AND BUILDING INFORMATION MODELING (BIM)." Indonesian Journal of Multidisciplinary Science 1, no. 10 (2022): 1237–44. http://dx.doi.org/10.55324/ijoms.v1i10.188.

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The cost estimation process is an important aspect of project management. In line with industry 4.0 development, a new concept called building information modeling (BIM) was introduced. However, in the Indonesia construction sector itself, the application of the BIM concept is still not optimal. Many construction actors still using conventional concept using computer aided design (CAD) drawing in estimating project cost. This case study aims to compare the project cost estimation between conventional calculation based on CAD drawing dan calculation with the BIM concept. This case study was des

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Relich, Marcin. "Computational Intelligence for Estimating Cost of New Product Development." Foundations of Management 8, no. 1 (2016): 21–34. http://dx.doi.org/10.1515/fman-2016-0002.

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AbstractThis paper is concerned with estimating cost of various new product development phases with the use of computational intelligence techniques such as neural networks and fuzzy neural system. Companies tend to develop many new products simultaneously and a limited project budget imposes the selection of the most promising new product development projects. The evaluation of new product projects requires cost estimation. The model of cost estimation contains product design, prototype manufacturing and testing, and it is specified in terms of a constraint satisfaction problem. The illustrat

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Windmark, Christina, and Carin Andersson. "Cost modelling as decision support when locating manufacturing facilities." International Journal of Production Management and Engineering 4, no. 1 (2016): 15. http://dx.doi.org/10.4995/ijpme.2016.4177.

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This paper presents a methodology for cost estimation in developing decision supports for production location issues. The purpose is to provide a structured work procedure to be used by practitioners to derive the knowledge needed to make informed decisions on where to locate production. This paper present a special focus on how to integrate cost effects during the decision process. The work procedure and cost models were developed in close collaboration with a group of industrial partners. The result is a structure of cost estimation tools aligned to different steps in the work procedure. The

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Stubelj, Igor. "The Cost of Equity Capital on Developing Equity Markets: Estimations for Selected Slovene Companies." South East European Journal of Economics and Business 5, no. 1 (2010): 67–74. http://dx.doi.org/10.2478/v10033-010-0006-3.

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The Cost of Equity Capital on Developing Equity Markets: Estimations for Selected Slovene CompaniesThe article sheds light on the estimation of the cost of equity capital on a developing equity market. The cost of equity is important; it is crucial in capital budgeting decisions and performance evaluation. It determines the minimum yield the investors require on the invested capital and we use it as a discount rate to calculate the present value of the expected free cash flows to equity. The aim of this paper is to tackle the estimation of the cost of equity capital on developing markets with

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