Relevant bibliographies by topics / Cost Estimation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cost Estimation'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Cost Estimation"

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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 (January 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 Kruskal Wallis H tests. The results showed that estimating risks are correlate seven principal sources, namely: estimating resources, construction knowledge, design information, economic condition, the expertise of estimator, geographic factor, cost data, and project factors (λ, > 0.70 <1.0). Twenty-nine risk factors likewise emerged critical construction estimation risks (TTI, 69-87 > 65 percent) and the top three were low construction knowledge, inaccurate cost information and changes in government regulations (factor scores > 0.60 > 0.50). The awareness and accurate assessment of these risks into project cost estimation would reduce cost overrun. The study, therefore, recommends synergies between projects’ internal/ external environments for proper scoping of these risks into project estimates.
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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 (June 4, 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 identifying factors that need to be considered when upgrading these tools for post-earthquake repair cost estimation. Design/methodology/approach The research was conducted as an exploratory study using a literature review, document analysis of the PACT, SLAT and HAZUS software and 18 semi-structured interviews. Findings The research identified information sources available for estimation and factors to be considered when developing estimations based on the information sources. Research limitations/implications The data was collected from professionals who were involved mostly in housing repair work in New Zealand. Therefore, impact of these repair work factors might vary in other forms of structures such as civil structures include bridges and the country as a result of varying construction details and standards. Practical implications The identified factors will be used to improve the loss estimation tools are such as PACT and HAZUS, as well as to develop a post-earthquake repair cost estimation tool. Originality/value Currently, the identified factors impacting post-earthquake damage repair cost estimations are not considered in loss estimation tools. Factors identified in this research will help to develop a more accurate cost estimation tool for post-earthquake repair work.
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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 (January 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 this paper, we propose an early cost estimation approach, which is based on machine learning techniques. The experimental investigation based on the real customized furniture manufacturing data is performed, results are presented, and insights are given.
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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 (July 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, expectation maximization and regression imputation; and compared with respect to their effect on the prediction accuracy of a least squares regression cost model. The evaluation is based on various expressions of the prediction error. The comparisons are conducted using statistical tests, resampling techniques and visualization tools like the regression error characteristic curves.
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Heemstra, F. J. "Software cost estimation." Information and Software Technology 34, no. 10 (October 1992): 627–39. http://dx.doi.org/10.1016/0950-5849(92)90068-z.

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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 (August 31, 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 (November 22, 2016): 4771–76. http://dx.doi.org/10.18535/ijetst/v3i11.08.

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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 presented model can be used for condition of few estimating samples and product information in early design phase.
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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 but includes a variable forgetting factor which is based on the constant information principle and a dead zone which ensures robustness. We show by this method that a fairly good approximation of the arrival cost guarantees the convergence and stability of estimates. Some simulations are made to show and demonstrate the effectiveness of the proposed method and to compare it with the classical MHE.
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Dissertations / Theses on the topic "Cost Estimation"

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Qian, Li. "Web-based cost estimation and supplier selection based on parametric cost estimation /." Search for this dissertation online, 2003. http://wwwlib.umi.com/cr/ksu/main.

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Lai, Mei Teng. "Airline operating cost estimation." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1950305.

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Gildenblatt, Robbie B. "A Methodology Incorporating Manufacturing System Capacity in Manufacturing Cost Estimation." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1357314439.

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Shetelig, Haakon. "Shipbuilding Cost Estimation : Parametric Approach." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-22360.

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A continuously increasing global competition in the ship building industry leads to decreasing margins and an increased cost pressure for Norwegian shipbuilders. The Norwegian ship designers and shipbuilders are known throughout the world for delivering complex vessel with high quality, on time. Shipowners have so far been willing to pay the price for Norwegian offshore support vessels. However, high quality products will at some point be outcompeted by less expensive solutions.An effective cost estimation framework can contribute to a competitive advantage. This thesis presents a methodology for developing a cost estimation framework to identify, investigate and evaluate the importance and behavior of cost drivers in offshore shipbuilding. The outcome of the method is cost estimating relationships (CER) that express the relative consequences on the total cost due to relative changes of high level performance requirements. These CERs is called relative change-CERs. A relative change-CER could for example express the relative consequence on the total cost due to a 5 % increase of the installed engine power.The method can be characterized as a parametric top-down cost estimation approach. By using historical cost data and specifications for a population of vessels of a certain ship type, it is possible to find relationships between important performance parameters and costs. With regression techniques, CERs expressing unit costs per cost driving parameter for different technological groups of the vessel can be found. By using these unit cost-CERs on already existing vessels and then theoretically change the ship?s performance parameters, one will see the theoretical consequence on the total cost. By changing a chosen cost driving parameter with different intervals for several vessels, the average relative consequences on the total cost is found for that ship type. The relative change-CERs can be utilized differently by actors in the shipbuilding industry. One area of application is in the negotiation process with a potential customer where features like ship specifications and change orders are discussed. The relative change-CERs contribute to leverage for the yard personnel?s arguments, and reduce the response time for rebids and tender requests.Another area of application for the relative change-CERs is for gaining insight of the behavior of important cost drivers in offshore ship building. With a set of unit cost curves and relative change-CERs, it is possible to identify how the different parts of the ship are affected by a relative change in certain ship parameters. This information can be used to rank the different ship parameters according to their importance and relative influence on the total ship building cost.
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Miller, Adam J. "Methodology for Cost Estimation of Systems at a Preliminary Stage of Design." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1344259852.

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Tunc, Mehmet. "Computerized Cost Estimation For Forging Industry." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/4/1060193/index.pdf.

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In today&
#8217
s life, companies are faced with the problem of providing quality goods and services at competitive prices. Cost estimation is a very important process for a forging company, as each time a quote is sent to a customer, the company earns or loses money depending on the results of the particular estimate. However, determining pricing for customer quotes is a matter of time consuming, detailed number of tasks repeated each time. Cost estimation software might do those tedious calculations and assist the estimator step by step to reach to a cost estimate in relatively short time. In this study, an interactive cost estimation software named Forge Cost Estimator, which performs the early cost estimation for forgings, has been developed. The program is aimed to be used by the cost estimators in hot forging companies. The software has various databases, which include material, forging and machining equipment data. The cost items defined in the forging work breakdown structure can be estimated by using different modules of the software and summed up in an additive structure by using the bottom-up costestimation method. For calculating the forge volume quicker and easier, a new volume estimation system named Easy-Volume, which is based on the volume fragmentation method, is proposed. The software can also guide the user in selecting the convenient forging production line. The software is written in MS Visual Basic 6.0. The developed program has been tested in a forging company and satisfactory cost estimations for several forgings have been achieved.
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Peters, Norman L. "Parametric cost estimation for amphibious assault vehicle's life cycle cost." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/26684.

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Approved for public release; distribution is unlimited
This thesis investigates the need to predict life cycle cost in the most effective and efficient manner through the development of cost estimating relationships (CERs) using only performance input parameters. Utilizing statistical software especially designed for program managers, parametric cost estimating relationship module (PACER), CERs were developed and then evaluated for statistical soundness. The object of this study was to develop a means by which the program manager could estimate fairly accurately total life cycle costs. With this information in hand, the program manager could determine of a weapons system is affordable early in the acquisition process. The result of this study was the derivation of three predictive models that relate cost to required performance parameters. Based solely upon performance requirements, a relationship between cost and performance was established and their impact upon life cycle costs.
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Strike, Kevin D. "Software cost estimation with incomplete data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq64461.pdf.

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Zhai, Yun. "Early cost estimation for additive manufacture." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7856.

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Additive Manufacture (AM) is a novel manufacturing method; it is a process of forming components by adding materials. Owing to material saving and manufacturing cost saving, more and more research has been focused on metal AM technologies. WAAM is one AM technology, using arc as the heat sources and wire as the material to create parts with weld beads on a layer-by-layer basis. The process can produce components in a wide range of materials, including aluminum, titanium and steel. High deposition rate, material saving and elimination of tooling cost are critical characteristics of the process. Cost estimation is important for all companies. The estimated results can be used as a datum to create a quote for customers or evaluate a quote from suppliers, an important consideration for the application of WAAM is its cost effectiveness compared with traditional manufacture methods. The aim of this research is to find a way to develop a cost estimating method capable of providing manufacturing cost comparison of WAAM with CNC. A cost estimation model for CNC machining has been developed. A process planning approach for WAAM was also defined as part of this research. An Excel calculation spreadsheet was also built and it can be easily used to estimate and compare manufacture cost of WAAM with CNC. Using the method developed in this research, the cost driver analysis of WAAM has been made. The result shows that reduced material cost is the biggest cost driver in WAAM. The cost comparison of WAAM and CNC also has been made and the results show that with the increase of buy-to-fly ratio WAAM is more economical than CNC machining.
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Liu, Kevin K. (Kevin Kaitan) 1986. "Cost estimation of human systems integration." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59776.

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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 103-108).
Human Systems Integration (HSI) is the interdisciplinary technical and management processes for integrating human considerations within and across all system elements. The goal of this research is to develop a better understanding of how the costs of doing HSI work within a program can be estimated. The research is divided into two parts. In the first part, problem formulation, literature from several relevant domains is first reviewed. Next a descriptive case study is conducted on the development of the Pratt and Whitney F 119 engine. It examines activities done to support HSI up to engineering and manufacturing development and concludes that, among other factors, HSI in requirements are a major driver of effort. This conclusion leads to work on the integration of HSI into the counting of requirements for an existing systems engineering cost model. In the second part of the research, implementation and validation, two workshops are conducted to assess how HSI considerations are addressed in real-world requirements engineering. The first workshop tests existing requirements counting guidelines, identifies weakness, and suggests improvement. The second workshop applies the Wideband Delphi method to generate consensus between stakeholders in order to deliver a quantitative estimate of HSI effort. The workshop also demonstrates that stakeholders perceive functional and nonfunctional requirements as driving effort in similar ways, a conclusion that challenges a widely-held belief that nonfunctional requirements are less significant than functional ones. The research done in the case study and workshops results in improvements to the existing systems engineering cost model, and an application of the model is presented. Policy considerations are discussed. The integration of the HSI into the model represents a significant step toward being better able to plan HSI effort in acquisition programs.
by Kevin K. Liu.
S.M.in Technology and Policy
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Books on the topic "Cost Estimation"

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Mislick, Gregory K., and Daniel A. Nussbaum. Cost Estimation. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118802342.

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Kesavan, R. Process planning and cost estimation. 2nd ed. New Delhi: New Age International Ltd., 2009.

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Adithan, M. Process planning and cost estimation. New Delhi: New Age International (P) Ltd., Publishers, 2007.

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Londeix, Bernard. Cost estimation for software development. Wokingham, England: Addison-Wesley, 1987.

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Toivanen, Otto. Oligopolistic services and cost function estimation. Coventry: University of Warwick Department of Economics, 1994.

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Cost of capital: Estimation and applications. New York: J. Wiley, 1998.

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Toivanen, Otto. Oligopolistic services and cost function estimation. Coventry: Warwick University, Department of Economics, 1994.

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Cost of capital: Estimation and applications. 2nd ed. Hoboken, N.J: John Wiley & Sons, 2002.

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Peters, Norman L. Parametric cost estimation for amphibious assault vehicle's life cycle cost. Monterey, Calif: Naval Postgraduate School, 1991.

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Greenwood, Peter W. The Rand intermediate-sanction cost estimation model. Santa Monica, CA: Rand Corp., 1989.

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Book chapters on the topic "Cost Estimation"

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Manegold, Stefan. "Cost Estimation." In Encyclopedia of Database Systems, 1–7. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_857-2.

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Manegold, Stefan. "Cost Estimation." In Encyclopedia of Database Systems, 506–11. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_857.

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Eisner, Howard. "Cost Estimation." In Systems Architecting, 61–66. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429327810-11.

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Mukherjee, Siddhartha. "Cost Estimation." In Process Engineering and Plant Design, 379–91. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780429284656-18.

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Manegold, Stefan. "Cost Estimation." In Encyclopedia of Database Systems, 647–53. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_857.

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Kaiser, Mark J., and Brian F. Snyder. "Decommissioning Cost Estimation." In Offshore Wind Energy Cost Modeling, 213–35. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2488-7_12.

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Weber, Klaus H. "Kostenermittlung (Cost Estimation)." In Engineering verfahrenstechnischer Anlagen, 453–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52897-6_6.

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Kazmer, David O. "Mold Cost Estimation." In Injection Mold Design Engineering, 43–78. München: Carl Hanser Verlag GmbH & Co. KG, 2016. http://dx.doi.org/10.3139/9781569905715.003.

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Murthy, Subbu. "Project Cost Estimation." In The Chief Information Officer's Body of Knowledge, 171–76. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118269114.ch17.

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Zirkler, Bernd. "„Kostenplanung“ (Cost Estimation)." In Führungsorientiertes US-amerikanisches Management Accounting, 138–61. Wiesbaden: Gabler Verlag, 2002. http://dx.doi.org/10.1007/978-3-322-96455-7_5.

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Conference papers on the topic "Cost Estimation"

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Nicolaou, Panicos A., and Deborah L. Thurston. "Machining: Quality, Cost and Environmental Estimation and Tradeoffs." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dfm-14010.

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Abstract The machining process affects manufacturing cost, product quality and the environment. This paper presents a method for formulating a mathematical model for first estimating quality, cost and environmental 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 and the drilling quality estimation model through physical experimentation. Cost is estimated through an activity based costing approach. Environmental BOD and FOG impacts are estimated through stoichiometric analysis of cutting fluids. Inputs include material choice, feed rate, speed and cutting fluids. A case study of an automotive steering knuckle is presented.
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Naunchan, Poom, and Daricha Sutivong. "Adjustable Cost Estimation Model for COTS-Based Development." In 2007 Australian Software Engineering Conference (ASWEC'07). IEEE, 2007. http://dx.doi.org/10.1109/aswec.2007.10.

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Yang, Ye, Barry Boehm, and Betsy Clark. "Assessing COTS integration risk using cost estimation inputs." In Proceeding of the 28th international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1134285.1134345.

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Park, Jaeil, and Timothy W. Simpson. "Development of a Production Cost Estimation Framework for Product Family Design." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57175.

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The main task of a product family designer is to decide the right components/design variables to share among products to maintain economies of scale with minimum sacrifice in the performance of each product in the family. The decisions are usually based on several criteria, but production cost is of primary concern. Estimating the production cost of a family of products involves estimating the production cost of each product in the family including the cost effects of common and variant components/design variables in the family. In this paper, we introduce a production cost estimation framework for product family design based on Activity-Based Costing (ABC), which is composed of three stages: (1) allocation, (2) estimation, and (3) analysis. In the allocation stage, the production activities that are necessary to produce all of the products in the family are identified and modeled with an activity table, a resource table, and an activity flow. To allocate the activities to products, a product family structure is represented by a hierarchical classification of the items that form the product family. In the estimation stage, production costs are estimated by converting the production activities to costs using key cost drivers that consume main resources. In the analysis stage, components/design variables for product family design are investigated with resource sharing methods through activity analysis. As an example, the proposed framework is applied to estimate the production cost of a family of cordless power screwdrivers.
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PALASZEWSKI, B. "Electric propulsion cost estimation." In International Electric Propulsion Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-2044.

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Welp, E. G., and D. Giannoulis. "Knowledge-Based Cost Estimation of Product Concepts." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57766.

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A knowledge-based method for the cost estimation of concept variants for new or prototype products manufactured as unique-manufacture or in small batches-series. The goal is to provide design engineers of mechanical products with a method of which software implementation will enable them to perform easy, plausible cost estimations already in the very early development (concept) phases of product concepts or drafts. This will allow them to make prompt decisions about the most promising and cost-efficient concept for further development. Concurrently, the method will assist the designer in localizing the most cost-intensive concept or draft zones and in identifying the technical and process properties related to these costs. Hence, he will be able to concentrate on these characteristics and introduce an optimization procedure in the later detail design phase. Accordingly, the method is based on the principles of the systems engineering theory. Thereby, a “fundamental method element” is created. Based on this element, the application of the object-oriented design method leads to the creation of classes containing concept modeling elements with driving cost attributes concerning technical and process properties. The cost generation mechanism is then mapped in a class structure framework. In order to resolve the problem of the cost data vagueness and apply cost relationships in the concept phase, a fuzzy model is created to perform the cost estimation.
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Kang, Myoungcheol, Stephen Ogaji, Pericles Pilidis, and Changduk Kong. "An Approach to Maintenance Cost Estimation for Aircraft Engines." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50564.

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This study presents a detailed analysis of aircraft engine maintenance cost based on the relationships between engine performance and geometric parameters. Estimating engine maintenance cost is very complicated and depends upon empirical work based on know-how and huge database to develop the industrial cost estimation program. Engine maintenance costs are basically influenced by the shop visit rates (SVR), the workscope of each shop visit, the shop visit pattern and the manhours and materials used in each shop visit. To estimate these values for a specific engine model, there is a need to develop the empirical correlations of engine maintenance. For this study, an engine performance and maintenance database was created. The engine performance data for each major component were simulated by an engine performance code, TURBOMATCH developed at Cranfield University, U.K., at static sea-level condition and geometric data were collected from open literature. Also, engine maintenance cost data for some current engines were collected and used. Some trend line equations based on the database were developed for the estimation of shop-visit interval, work-scope, Man-Hours, material cost and Life Limited Part cost. Comparisons of the results between trend equations and original data were carried out. The results show that this approach can give a more reasonable and detailed estimation of engine maintenance cost than older empirical methods.
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Ramesh, Raghuram Puthali, and Shun Takai. "Top-Down Benchmarking Approach for Estimating Cost of Concept." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99615.

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Due to the highly competitive nature of businesses today, cost estimation forms an important strategic process in making decisions about design and development of new products. The focus is on improving the quality and service of the product at ever reducing costs. In conceptual design phase, engineers need to estimate how much the final products developed from each concept may cost. Estimating cost of the final product is critical in selecting the optimal concept. Majority of the cost estimation techniques used in the industry today concentrate on the parametric estimation. Parametric estimation accurately predicts cost of the final product using historic data about cost drivers. However, if firms are developing new products different from their past product categories, historic data may not be a credible source for parametric cost estimation. In this paper, the authors proposed a top-down benchmarking approach in estimating cost of new products in conceptual design phase. The objective is to construct a cost distribution model for the final product developed from each concept.
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Lah, M. B. C. "Digitalization of Decommissioning Cost Estimation Process for Upstream Assets." In Indonesian Petroleum Association 44th Annual Convention and Exhibition. Indonesian Petroleum Association, 2021. http://dx.doi.org/10.29118/ipa21-f-298.

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The paper provides an insight on how has addressed PETRONAS has addressed its pain points on limited resources, simplified work processes with reliable auditable tool for decision making through digitalization. PETRONAS is currently performing its annual budgetary assessment for all Malaysia assets which consist of more than 300 platforms with close to 600 pipelines and other assets eg. terminals, subsea systems & floating structure. With limited timeline and resources to establish decommissioning cost, the consistency and quality is vital for estimating work to improvise process efficiency and cost effective via digitalization. The process improvement requirements are pooled and possible digitalization takeovers are studied in detail via stakeholder engagements, technical workshops and lessons learned analysis. The method is solely based on digitalization of bottoms-up cost estimation process which has been embedded in a single tool to fix and standardize all technical and commercial basis. The tool has been developed with taking into all technical and commercial aspects in decommissioning offshore assets. Twelve base options which include reefing options, cutting methodologies, cost sharing execution strategies have been embedded in the tool. Based on the digital approach, it has been proven that cost estimation process duration has been optimized up to 60% for all Class V- and Class IV decommissioning cost estimates which is equivalent to 3,600 manhours for 1000 facilities. Furthermore, consistency in cost estimation approach and robustness in developing cost estimates for multiple options for decision making has been guaranteed with the centralization cost estimating approach via digital platform. Centralized digital depository of the technical inputs, basis and assumptions are also crucial to ensure this essential data could be retrieved in the future as most decommissioning projects would only be executed during the tail end of a facility’s production life.
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Roy, Rajkumar, Petros Souchoroukov, and Harri S. Koponen. "Information Requirements for Cost Estimating in the Automotive Industry." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dfm-48153.

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The automotive companies operate in a very competitive market. Competitiveness requires controlling product costs, and cost estimation is an important activity for this. Cost estimation requires quality information but the conducted research found several issues that hinder this activity, namely a lack of resources and information acquiring and validation difficulties. Data and Information requirements are a major issue in cost estimating. Research in cost estimating mainly focus on improving techniques and methodologies. There is a need to investigate the data and information requirements and corresponding sources of information for cost estimating. These issues have led to the extensive use of expert judgement. Experienced cost estimators use a variety of information resources and cost elements to create a cost estimate, and this causes communication issues. Better information is needed for both creating sound cost estimates and increasing understanding of these created cost estimates. This paper proposes a novel idea, an information infrastructure for automotive cost estimation to address the issue. The constructed Infrastructure provides relevant cost information needed to develop sound and robust cost estimates using a webportal design. It defines in depth the necessary cost information, explains why it is used and gives details where to find it and how to validate it. The research increases understanding of the cost estimation information requirements for the automotive industry.
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Reports on the topic "Cost Estimation"

1

Silver, Aaron N. Software Cost Estimation Study. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada226777.

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Loh, H. P., Jennifer Lyons, and Charles W. White. Process Equipment Cost Estimation, Final Report. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/797810.

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Boehm, Barry, Jo Ann Lane, Bradford Clark, Thomas Tan, Ramin Moazeni, Ray Madachy, and Wilson Rosa. Software Intensive Systems Cost and Schedule Estimation. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada608124.

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Erickcek, George. Estimation of the Cost of an Oregon Promise. W.E. Upjohn Institute for Employment Research, April 2013. http://dx.doi.org/10.17848/rpt199.

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Badiru, Adedeji, J. R. Wirthlin, Jeffrey D. Weir, M. Al-Romaihi, Stephen Clay, and Som Soni. Composite Airframe Cost Estimation Model Research: Report on Activity. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada584686.

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Hinkle, Wade P., Milton L. Tulkoff, and Rachel D. Dubin. References for Capability Assessment, Acquisition Planning, and Cost Estimation. Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada552348.

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Matysiak, L. M., and M. L. Burns. Los Alamos Waste Management Cost Estimation Model; Final report: Documentation of waste management process, development of Cost Estimation Model, and model reference manual. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/142479.

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Hardin, Ernest. COST ESTIMATION INPUTS FOR SPENT NUCLEAR FUEL GEOLOGIC DISPOSAL CONCEPTS. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1608749.

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Kumar, Shubhra, Smita Sanghrajka, and Benjamin Bellows. Cost estimation for scale-up of voucher services in Kenya. Population Council, 2013. http://dx.doi.org/10.31899/rh4.1231.

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Searcy, Chad, Steve Perryman, Dilip Maniar, D. Todd Griffith, and Brandon Lee Ennis. Optimal Floating Vertical-Axis Wind Turbine Platform Identification Design and Cost Estimation. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1466529.

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