Auswahl der wissenschaftlichen Literatur zum Thema „Costs calculation“

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Zeitschriftenartikel zum Thema "Costs calculation"

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Khoirunnisa, Ni'ma, und Siti Achiria. „Model Perhitungan Biaya Produksi Islami Menggunakan Metode Variable Costing (Studi Kasus Usaha Susu Shi Jeckex Cabang Jogja)“. JESI (Jurnal Ekonomi Syariah Indonesia) 9, Nr. 1 (26.09.2019): 9. http://dx.doi.org/10.21927/jesi.2019.9(1).9-19.

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<p><em>Every company is required to run its business very well. The success of a company is very much determined by the accuracy and ability of the leader in managing the company. Production costs are one part of the internal steps that must be taken in increasing efficiency. In Islam there is a classification of costs before calculating production costs because not all funds that come out are calculated as production costs. The company can exercise control over activities that do not add value, which refers to cost control to be effective by applying Variable Coasting methods. Because it is seen from the method of calculation, the variable costing approach is more practical and easy to analyze. The results show that, using a calculation with a variable costing approach, the total production costs are lower than the calculation of real use, which is Rp. 55. 718,000 while using the real calculation, the results are greater, which is Rp. It can be seen that the calculation of the company's real production costs is higher than the calculation of production costs using the variable costing method. There is also the main difference between the real calculation of the company and the calculation of variable costing which is located in the treatment of factory overhead costs. The company's real calculations use fixed factory overhead and variable calculations while the variable costing method only calculates variable overhead costs.</em></p><p><strong><em>Keywords</em></strong><em> : Cost, Productions Cost, Variable Costing</em></p>
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Sugiarti, Juniar, Sochib Sochib und Yanna Eka Pratiwi. „ANALYSIS OF THE CALCULATION OF PRODUCTION COSTS AND SELLING PRICES IN UD. BINA USAHA BAGUSARI“. Assets : Jurnal Ilmiah Ilmu Akuntansi, Keuangan dan Pajak 4, Nr. 2 (31.07.2020): 57–65. http://dx.doi.org/10.30741/assets.v4i2.568.

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Business (company) is an organization that provides a variety of goods or services for sale with the aim of obtaining profits. Accounting calculations on companies are needed at the production price and selling price at a company. In this case then direct this research in the calculation of production prices and selling prices. The data needed in this study can be obtained through documentation and field research. The data obtained in this analysis uses the Descriptive Quantitative method, based on the analysis shows that the calculation of production costs and selling prices using the calculation method carried out by the UD with the calculation of production costs using the variable costing method is lower than the calculations made by the company. Because the variable costing method calculates the variable costs associated with the production process and selling prices while the calculation method applied by the company lists all costs including variable overhead costs and fixed overhead costs. So that there is a difference in production costs and selling prices according to company methods and variable costing methods.
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Maliki, Alfian, und Heru Satria Rukmana. „Calculation of Cost of Production Using the Job Order Costing Method Against Determination of Selling Prices at PT OTO Media Kreasi“. Neraca : Jurnal Akuntansi Terapan 1, Nr. 2 (30.04.2020): 103–25. http://dx.doi.org/10.31334/neraca.v1i2.860.

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PT Oto Media Kreasi is a service company engaged in the field of interior and exterior design bodies, producing based on orders or projects. The calculation of the cost of production at PT Oto Media Kreasi plays a role in determining the selling price, which affects the company's profit.The purpose of this study is to determine the calculation of the cost of production as well calculation in determining the selling price with the method applied by PT Oto Media Kreasi, also to find out the calculation of the cost of production as well as the calculation in determining the selling price using the job order costing method and to know the role of the method job order costing in loading the cost of production precisely and more efficiently.The results showed that in calculating the cost of production of PT Oto Media Kreasi still used a simple calculation, only calculating the cost of raw materials, namely Rp.1,092,778,291, direct labor costs Rp.313,200,000, and overhead costs Rp.27,600,000 . The total calculation of the company's production cost is Rp. 1,433,578,291, with a margin percentage of 35.37% of the selling price of Rp. 1,940,640,000. Whereas in calculating the cost of production using the job order costing method in calculating the cost of raw materials Rp.1,101,178,291, the accumulated residual value of raw materials Rp.8,682,000, direct labor costs Rp.313,200,000, and overhead costs Rp.60,532 .260. The total calculation of the cost of production using the job order costing method is Rp.1,466,228,551, with a margin percentage of 32.36% of the selling price of Rp.1,940,640,000. The company has not calculated the cost of goods manufactured using the job order costing method, the cost of goods manufactured is only done by estimating all costs needed to produce a product, so the costs are not classified correctly and the calculations are sufficient simple, so it is difficult to determine the right selling price for a product ordered.The proposed use of the job order costing method is expected so that the owner of the company can apply the calculation of the cost of production so that the company can determine the cost of production in determining the selling price more precisely, so that the owner can know the overall cost of producing the order and also can know the actual acquisition of margins .
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Stewart, Ian. „Mathematics: Counting costs of calculation“. Nature 321, Nr. 6073 (Juni 1986): 812–13. http://dx.doi.org/10.1038/321812b0.

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AYMAN, ALGHBEIN. „CONTROL OF INDERECT COSTS IN THE CONSTRUCTION PROCESS“. EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2, Nr. 8 (2021): 61–64. http://dx.doi.org/10.36871/ek.up.p.r.2021.08.02.009.

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The calculation of direct costs, which mainly consist of consumables and labor, is not difficult for special-ists. Indirect costs, also known as overhead costs, often create problems for the accountant when determining the exact cost price. The article considers the issue of calculating indirect costs as a new, more improved approach to calculating the final cost of an object and its costs. The article considers an example of the use of ABC in the construction of a library hall and its potential advantages compared to traditional costs. The project can cover cost control by implementing an activity-based cost calculation system.
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Choi, Jaehyun. „Road User Costs for Highway Construction Projects Involving a Lane Closure“. Sustainability 12, Nr. 8 (12.04.2020): 3084. http://dx.doi.org/10.3390/su12083084.

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While for years most American State Highway Agencies (SHAs) have performed Road User Cost (RUC) calculations, no uniformity from state to state has been established. There is scant research available that documents the testing and validation of existing RUC calculation methods for highway rehabilitation projects. Especially scarce are studies addressing the unique problem of accurately calculating RUC in the event of lane closures. This research addresses this problem by describing and comparing two methods of making such calculations: A manual method developed by the Texas Transportation Institute (TTI), and adopted by many other state agencies, such as the Florida Department of Transportation (FDOT), and a commercial software package.
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Adawia, Popon Rabia, Aprilia Puspasari, Ayu Azizah, Asep Asep und Dede Mustomi. „The Appropriate Calculation Cost of Goods Manufactured as Pricing Strategy for Small Sized Enterprises (SMEs)“. Jurnal Perspektif 19, Nr. 1 (14.02.2021): 5–10. http://dx.doi.org/10.31294/jp.v19i1.9840.

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This research aims to identify all production costs incurred in production, to calculate the cost of goods manufactured correctly using the Process Costing Method and decision making for determining the selling price of shoes. The research was taken in one of small-sized enterprises shoe factory in East Karawang. The research method is descriptive comparative with a qualitative approach. The descriptive method is used to describe the production costs incurred in the production process including the raw materials costs, supporting materials costs, labor costs, and factory overhead costs. In this research, the data used are primary and secondary data. The COGM calculation results in show that there is variance calculation between company system and process costing method. It is due to calculations that companies do not identify production costs in detail, therefore the company’s COGM calculation is inaccurate. The COGM calculation appropriately can be the company’s strategy to determine the selling price. so that company profits can continue to increase.
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Aaltonen, Markku V. P., und Jukka Miettinen. „Computer-aided calculation of accident costs“. Human Factors and Ergonomics in Manufacturing 7, Nr. 2 (1997): 67–78. http://dx.doi.org/10.1002/(sici)1520-6564(199721)7:2<67::aid-hfm1>3.0.co;2-g.

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Beyer, M., J. Klein, K. Vaupel und D. Wiegand. „Microbial coal desulphurization: calculation of costs“. Bioprocess Engineering 5, Nr. 3 (April 1990): 97–101. http://dx.doi.org/10.1007/bf00388186.

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Tereshenko, Oleg, Nataliya Voloshanyk und Dmytro Savchuk. „RATE OF COSTS ON INVESTMENT CAPITAL IN EMERGING MARKETS“. SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 6 (21.05.2019): 665. http://dx.doi.org/10.17770/sie2019vol6.3957.

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To date, there is no adequate methodology for calculating the discount rate that would satisfy most financial analysts. The most common approach to determining the discount rate is to use the weighted average cost of capital (WACC) algorithm. The calculation of capital costs (discount rates) in emerging market countries (EM) is characterized by a number of problems related to the information inefficiency of the capital market, instability of demand for products, inflation, macroeconomic and legal uncertainty and a lack of proper payment discipline. Even more complex are the corresponding calculations during the financial crisis, accompanied by hyperinflation, a fall or significant fluctuations in the rate of the national monetary unit, trade wars, and the collapse of the banking system.Especially problematic for emerging markets is the calculation of the cost of equity (investment) capital. In developed markets, the classical CAPM model is used for these purposes. Taking into account the lack of an effective capital market in EM-related countries, it is quite difficult to determine the standard parameters of the model (risk-free rate of return, market risk premium, beta factor). Significant problems also lie in the sources and shadow schemes for paying high premiums for the risks of investing capital in EM. The aim of the paper is to substantiate recommendations on the procedure for calculating the rate of costs for own (investment) capital, taking into account the specifics of corporate activities in countries related to EM.
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Dissertationen zum Thema "Costs calculation"

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Kulíková, Andrea. „Zhodnocení kalkulací ve vybrané soukromoprávní korporaci a návrhy na zlepšení“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444222.

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The diploma thesis deals with the analysis and evaluation of calculations in the Vedanta canteen of the company Jitřenka-Zlatá studna s.r.o. The aim of the work is to propose changes that will improve the current situation of the company. The proposals will be based on an analysis of the current state of cost classification, the method of calculation and the calculation system.
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Wiegmann, Dirk. „An activity-based cost model for design-concurrent calculation“. Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-03032009-040709/.

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Blomqvist, Johan, und Camilla Grönnå. „Skillnader mellan kalkylerade och verkliga byggkostnader : Analys av orsaker till avvikelser i produktionskalkyler“. Thesis, KTH, Byggteknik och design, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101676.

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Detta examensarbete är det avslutande momentet för programmet ”Byggteknik och Design” på ”Kungliga Tekniska Högskolan” i Haninge. Arbetet utfördes för byggföretaget Einar Mattsson Byggnads AB. Uppgiften var att ta reda på varför kalkylerade och verkliga kostnader för nybyggnadsprojekt skiljer sig. Studien baserades på produktionskalkylerna för fyra projekt och ntervjuer med minst en inblandad från varje projekt.   De fyra poster som påvisade de största negativa avvikelserna i produktionskalkylerna för respektive projekt identifierades och orsaker till att dessa projektspecifika poster avvek utreddes. Utöver detta jämfördes, mellan projekten, vanligt förekommande poster med negativa differenser. Orsakerna till avvikelserna för dessa gemensamt avvikande poster utreddes även.  Det slags fel som låg till grund för största delen av avvikelserna på de projektspecifika posterna var kalkyleringsfel. Undersökningen visar även att många enhetstider generellt är mer eller mindre felaktiga för företaget och att erfarenhetsåterföring därför är viktigt. Därför rekommenderas företaget t.ex. att lägga mer fokus på erfarenhetsåterföringen.
This thesis is the final moment for the program “Byggteknik och Design” on ”Kungliga Tekniska Högskolan” in Haninge. The work was done for the construction company “Einar Mattsson Byggnads AB”. The task is to find out why the calculated and actual costs for building projects differ. The study is based on production estimates of four projects and interviews with at least one involved from each project.  The four entries that showed the largest negative deviations in the production estimates for each project were identified and the reasons why these project specific entries differed were investigated. In addition comparisons were made, among the given projects, of common entries with negative differences. The reasons for the deviations of these common deviating entries were investigated as well.  The kind of error that was the basis for most of the deviations in the project specific entries were errors in calculus. The survey also shows that the calculated times that are invested per unit of element are generally wrong for the company and that therefore feedback of experience is important. The company is therefore recommended, for instance, to put more focus on feedback of experience.
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Chovítek, Břetislav. „Kalkulace ceny a její uplatnění v řízení podniku I“. Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-3973.

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In the selected company will be implemented the general methodology of calculation of the own costs as a basis for the formation of prices. It will be analyzed the effect of the method of the own costs calculation on business management.
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Šenkýřová, Martina. „Problematika řízení nákladů a výnosů ve zvolené firmě“. Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-10122.

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The basic theoretic bases of mamagement costs and revenues. The short characteristic of the company. The analysis of basic and external process of the firm icnluded their discription and consequences. The analysis of the costs and revenues of the company directly linked on the company processes. The basic preparation on completion ISO standards.
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Růžičková, Žaneta. „Kalkulace nákladů vybrané firmy“. Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-262226.

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The thesis deals cost calculation on the agricultural company.The goal of the work is to evaluate approaches to cost management in the selected company. There is the processing of changes of existing procedures or new procedures to improve cost management efficient of the company. Calculations are disscussed in general at the first and then in the agriculture. Current calculation method is analyzed in the own part of thesis on four products. Used costing technique is compared with another calculation method. The comparsion with the cost of production areas and all production areas in the Czech republic is performed at the end of the thesis.
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Tichá, Lucie. „Analýza a řízení nákladů“. Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-15650.

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The aim of this dissertation is to analyse the costs and their management in the company BAEST, a.s. BAEST, a.s. is a manufacturing engineering firm with a wide production range. In this work, the costs are investigated at first from the global point of view - it is analysed their structure and development here. Further part of the work gives attention to calculations. There are calculation methods characterized here, which are used by the company, and a part of this section is setting of the planned and the final calculation and analysis of variances. Conclusion is aimed to possible production cost saving.
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Klímová, Barbora. „Návrhy na zdokonalení řízení nákladů ve vybraném podniku“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-223775.

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The subject of this thesis are the costs of a specific company, their monitoring and ma-nagement. The theoretical part summarizes the information that served as the default resources. These findings have been applied in the practical part, for the selected com-pany. In the final section are formulated suggestions, which should lead to better ma-nagement of the costs.
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Rybníčková, Michaela. „Řízení nákladů v podniku“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-223830.

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This diploma thesis is focused on the costs analysis and assessment of the current state of the cost management in company LITAS s.r.o. The theoretical part clarifies the issue of costs and calculation. The thesis itself involves the company profile; the other part is devoted to the cost analysis and the cost management system in the company. In conclusion, the current situation of the cost management is assessed, as well as some proposals and recommendations for the improvement of the company cost management are listed there.
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Brierley, John A. „The calculation of product costs and their use in decision making in British manufacturing industry“. Thesis, University of Huddersfield, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430290.

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Bücher zum Thema "Costs calculation"

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Electricity cost modeling calculations. Burlington, MA: Academic Press/Elsevier, 2011.

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Blood, sweat, & tears: Calculating your career costs. New York: Rosen Pub. Group, 1986.

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Lee, Harry W. Calculating timber removal costs under ecosystem management. [Moscow, Idaho]: Idaho Forest, Wildlife and Range Experiment Station, 1996.

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Calculating human resource costs and benefits: Cutting costs and improving productivity. New York: J. Wiley, 1986.

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1964-, McNamara John J., und Hoffar Julian F, Hrsg. Calculating construction damages. New York: Wiley Law Publications, 1992.

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1964-, McNamara John J., Hrsg. Calculating construction damages. 2. Aufl. Gaithersburg [Md.]: Aspen Law & Business, 2001.

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Lloyd, P. J. Calculating costs and setting fees for university tuition. Melbourne: University of Melbourne,Dept. of Economics, 1988.

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Vartiainen, Mika. Welding time models for cost calculations in the early stages of the design process. Lappeenranta, Finland: Lappeenranta University of Technology, 2000.

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Sweden. Statistiska centralbyrån. Avdelningen för arbetsmarknads- och utbildningsstatistik. Revision of model for calculating costs of continuing vocational training. Stockholm: Statistiska centralbyrån, Avdelningen för arbetsmarknads- och utbildningsstatistik, 1999.

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Hough, Paul G. Pitfalls in calculating cost growth from selected acquisition reports. Santa Monica, CA (P.O. Box 2138, Santa Monica 90407-2138): RAND, 1992.

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Buchteile zum Thema "Costs calculation"

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Friedrich, Rainer, und Peter Bickel. „Emission Calculation“. In Environmental External Costs of Transport, 11–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04329-5_3.

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Salter, R. J. „Calculation of Highway Operational Costs“. In Traffic Engineering, 141–46. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_31.

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Fischer, Christoph, und Golo Stadelmann. „Calculation of Potential Timber Harvesting Costs (HeProMo)“. In Swiss National Forest Inventory – Methods and Models of the Fourth Assessment, 257–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19293-8_16.

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van der Drift, L. N. J. M. „Expert Model for Calculation of Soil Sanitation Costs“. In Contaminated Soil ’90, 65–72. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3270-1_13.

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Festel, Gunter, Martin Bellof, Martin Würmseher, Christian Rammer und Eckhard Boles. „Calculation of Raw Material Prices and Conversion Costs for Biofuels“. In Lecture Notes in Energy, 93–115. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6482-1_5.

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Lanza, Gisela, Nicole Stricker und Dominic Appel. „Calculation of Maintenance Costs on Poor Data Basis and Implementation in Industrial Practice“. In Lecture Notes in Production Engineering, 597–608. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30820-8_50.

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Tidblad, Johan, Vladimir Kucera und Alexandre A. Mikhailov. „Mapping of Acid Deposition Effects and Calculation of Corrosion Costs on Zinc in China“. In Acid rain 2000, 1469–74. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-007-0810-5_92.

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Rosner, S., M. Scholles und D. Forchel. „Near-optimal scheduling of synchronous data-flow graphs by exact calculation of inter-processor communication costs“. In High-Performance Computing and Networking, 987–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0031677.

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Curien, Nicolas. „Cost Calculation“. In Transport Pricing of Electricity Networks, 35–72. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3756-1_2.

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Zhu, Ge, Jianhua Dai und Shan Ao. „Analysis and Quantitative Calculation on Switching Costs: Taking 2002-2006 China Wireless Telecommunications Market as an Example“. In Studies in Computational Intelligence, 201–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21378-6_16.

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Konferenzberichte zum Thema "Costs calculation"

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Kucera, Tomas. „CALCULATION OF LOGISTICS COSTS IN INBOUND LOGISTICS“. In 5th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS SGEM2018. STEF92 Technology, 2018. http://dx.doi.org/10.5593/sgemsocial2018/1.5/s05.015.

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Kurmanbekov, Obolbek. „Accounting Losses in the Calculation Process of Production Costs“. In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c09.02018.

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The drawback of the traditional approach to accounting for losses from defects is the common accounting. Part of the losses is due to the peculiarity of the production technology, and they must be included in the production costs. To account for excess losses in the calculation of the cost of production unit, it is necessary to add two indicators: the normative and over-standard losses. Suggestions of loss accounting in the process calculating allow one to increase the reliability of determining the cost of production, on the one hand, and, on the other, to generate information necessary for managing production costs.
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Kufeoglu, Sinan, Samuel Prittinen und Matti Lehtonen. „Customer interruption costs calculation of finnish electricity customers“. In 2015 12th International Conference on the European Energy Market (EEM). IEEE, 2015. http://dx.doi.org/10.1109/eem.2015.7216605.

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Naugolnova, I. A. „Target Calculation Of Production Costs In The Process Approach To Cost Management“. In Global Challenges and Prospects of The Modern Economic Development. European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.04.02.17.

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Johnson, E. R., und R. E. Best. „A Computational Model for Estimating the Cost of Spent Fuel and High-Level Radioactive Waste Transport“. In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-4783.

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JAI has developed a simple computer program for use in determining a preliminary estimate of costs for transporting spent nuclear fuel or high-level radioactive waste by legal weight truck or by rail. The JAI Corporation Spent Fuel and High-Level Radioactive Waste Transportation Cost Model © is a Microsoft Excel 2000-based collection of spreadsheets. Both the truck and rail sub-models consist of three spreadsheets, or modules — as follows: • The “Input” spreadsheet accepts the user’s inputs (the user’s configuration of the transportation scenario to be modeled); • The “Cost Calculations” spreadsheet lists cost components and associated calculations; • The “Results” spreadsheet summarized the calculated transportation costs. The program does not calculate costs between two specific points, but rather over a specific distance. The individual inputs required can be entered by the user — or the user can accept the default values built into the program. The input to the program is divided into the following elements: 1. Scenario configuration; 2. Financial assumptions; 3. Capital-related costs; 4. Operating costs; 5. Freight-related costs; 6. Security-related costs. The rail portion of the program also permits the calculation of the cost of heavy haul and barge transport. The cost calculation spreadsheet contains all the algorithms used for calculating each element of cost and summing them — and the results spreadsheet shows the separate cost of capital, operations, freight, security and miscellaneous costs, plus the total cost for the shipment(s). The program offers an easy way for obtaining preliminary estimates of the cost of transporting spent fuel or high-level radioactive waste, and a way to quickly estimate the sensitivity of transport costs to changes in conditions or shipping scenarios.
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Hagmark, P. E., und S. Virtanen. „Simulation and calculation of reliability performance and maintenance costs“. In 2007 Annual Reliability and Maintainability Symposium. IEEE, 2007. http://dx.doi.org/10.1109/rams.2007.328102.

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Min, Kyung-Il, Su-Won Lee, Hongrae Kim und Young-Hyun Moon. „Calculation of stochastic generation costs considering wind power generation“. In 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific. IEEE, 2009. http://dx.doi.org/10.1109/td-asia.2009.5356992.

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Riesener, M., C. Dolle, A. Menges und G. Schuh. „Calculation and Allocation of Complexity Costs Using Process Data Mining“. In 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2019. http://dx.doi.org/10.1109/ieem44572.2019.8978735.

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Dott, Dawn R., S. C. Wirasinghe und Amit Chakma. „Putting the Environment Into the NPV Calculation: Quantifying Pipeline Environmental Costs“. In 1996 1st International Pipeline Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/ipc1996-1941.

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Pipeline projects impact the environment through soil and habitat disturbance, noise during construction and compressor operation, river crossing disturbance and the risk of rupture. Assigning monetary value to these negative project consequences enables the environment to be represented in the project cost-benefit analysis. This paper presents the mechanics and implications of two environmental valuation techniques: (1) the contingent valuation method and (2) the stated preference method. The use of environmental value at the project economic-evaluation stage is explained. A summary of research done on relevant environmental attribute valuation is presented and discussed. Recommendations for further research in the field are made.
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Buhler, Jochen, Thanos Krontiris und Gerd Balzer. „Calculation of outage costs for maintenance purposes in medium voltage networks“. In MELECON 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference. IEEE, 2010. http://dx.doi.org/10.1109/melcon.2010.5476313.

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Berichte der Organisationen zum Thema "Costs calculation"

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Hummel, Marcus. Cost Curves for Heat Savings in Buildings: Calculation of costs and potentials for heat savings in existing buildings through the refurbishment of the building surface for various countries in Europe until 2050. IEA SHC Task 52, Juni 2018. http://dx.doi.org/10.18777/ieashc-task52-2018-0001.

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Milligan, M., und B. Kirby. Calculating Wind Integration Costs: Separating Wind Energy Value from Integration Cost Impacts. Office of Scientific and Technical Information (OSTI), Juli 2009. http://dx.doi.org/10.2172/962504.

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Spyropoulou, Evdoxia, Timothy Levin und Cynthia Irvine. Calculating Costs for Quality of Security Service. Fort Belvoir, VA: Defense Technical Information Center, Dezember 2000. http://dx.doi.org/10.21236/ada423571.

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McCullouch, Bob. INDOT Research Program Benefit Cost Analysis—Return on Investment for Projects Completed in FY 2019. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317279.

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To demonstrate the value of research and its implementation, the Governor’s Office requested an annual financial analysis of the INDOT Research Program to determine the return on the research investment (ROI). This report is for the 35 research projects that completed in FY 2019. The ROI analysis will supplement the annual IMPACT report by adding a more rigorous quantitative benefit cost analysis (BCA) to the Research Program. Previous financial analyses used the approach of calculating net present values of cash flows to determine a benefit cost ratio and this report uses the same approach. Additionally, an overall program rate of return (ROI) is reported and will be accumulated over time into a rolling 5-year average. The ROI is expressed as a BCA ratio, which is commonly used by State DOTs and national transportation research agencies when expressing the return on the research investment. By using total program costs in the analysis, rather than just the individual project cost, a very conservative BCA ratio is obtained. Interestingly, the quantified cost savings from a single project frequently underwrites the cost of the entire research program in a fiscal year.
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Wissink, Andrew, Jude Dylan, Buvana Jayaraman, Beatrice Roget, Vinod Lakshminarayan, Jayanarayanan Sitaraman, Andrew Bauer, James Forsythe, Robert Trigg und Nicholas Peters. New capabilities in CREATE™-AV Helios Version 11. Engineer Research and Development Center (U.S.), Juni 2021. http://dx.doi.org/10.21079/11681/40883.

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CREATE™-AV Helios is a high-fidelity coupled CFD/CSD infrastructure developed by the U.S. Dept. of Defense for aeromechanics predictions of rotorcraft. This paper discusses new capabilities added to Helios version 11.0. A new fast-running reduced order aerodynamics option called ROAM has been added to enable faster-turnaround analysis. ROAM is Cartesian-based, employing an actuator line model for the rotor and an immersed boundary model for the fuselage. No near-body grid generation is required and simulations are significantly faster through a combination of larger timesteps and reduced cost per step. ROAM calculations of the JVX tiltrotor configuration give a comparably accurate download prediction to traditional body-fitted calculations with Helios, at 50X less computational cost. The unsteady wake in ROAM is not as well resolved, but wake interactions may be a less critical issue for many design considerations. The second capability discussed is the addition of six-degree-of-freedom capability to model store separation. Helios calculations of a generic wing/store/pylon case with the new 6-DOF capability are found to match identically to calculations with CREATE™-AV Kestrel, a code which has been extensively validated for store separation calculations over the past decade.
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Melaina, M., und M. Penev. Hydrogen Station Cost Estimates: Comparing Hydrogen Station Cost Calculator Results with other Recent Estimates. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1260510.

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7

NAVAL SEA SYSTEMS COMMAND WASHINGTON DC. Design Data Sheet: Calculation of Surface Ship Annual Energy Usage, Annual Energy Cost, and Fully Burdened Cost of Energy. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada565827.

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8

Rainer, Leo I., Marc A. Hoeschele, Michael G. Apte, Derek G. Shendell und Wlliam J. Fisk. Energy savings estimates and cost benefit calculations for high performance relocatable classrooms. Office of Scientific and Technical Information (OSTI), Dezember 2003. http://dx.doi.org/10.2172/821454.

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9

Schellenberg, Josh, und Peter Larsen. Changes to the Underlying Econometric Models for the Interruption Cost Estimate (ICE) Calculator. Office of Scientific and Technical Information (OSTI), März 2018. http://dx.doi.org/10.2172/1769301.

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10

Chandra, Shailesh, Mehran Rahmani, Timothy Thai, Vivek Mishra und Jacqueline Camacho. Evaluating Financing Mechanisms and Economic Benefits to Fund Grade Separation Projects. Mineta Transportation Institute, Januar 2021. http://dx.doi.org/10.31979/mti.2020.1926.

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Investment in transportation infrastructure projects generates benefits, both direct and indirect. While emissions reductions, crash reductions, and travel time savings are prominent direct benefits, there are indirect benefits in the form of real estate enhancements that could pay off debt or loan incurred in the improvement of the infrastructure itself. Studies have shown that improvements associated with rail transportation (such as station upgrades) trigger an increase in the surrounding real estate values, increasing both the opportunity for monetary gains and, ultimately, property tax collections. There is plenty of available guidance that provides blueprints for benefits calculations for operational improvements in rail transportation. However, resources are quite limited in the analysis of benefits that accrue from the separation of railroad at-grade crossings. Understanding the impact of separation in a neighborhood with high employment or population could generate revenues through increased tax collections. In California, the research need is further amplified by a lack of guidance from the California Public Utilities Commission (CPUC) on at-grade crossing for separation based on revenue generated. There is a critical need to understand whether grade separation projects could impact neighboring real estate values that could potentially be used to fund such separations. With COVID-19, as current infrastructure spending in California is experiencing a reboot, an approach more oriented to benefits and costs for railroad at-grade separation should be explored. Thus, this research uses a robust benefits-to-cost analysis (BCA) to probe the economic impacts of railroad at-grade separation projects. The investigation is carried out across twelve railroad-highway at-grade crossings in California. These crossings are located at Francisquito Ave., Willowbrook/Rosa Parks Station, Sassafras St., Palm St., Civic Center Dr., L St., Spring St. (North), J St., E St., H St., Parkmoor West, and Nursery Ave. The authors found that a majority of the selected at-grade crossings analyzed accrue high benefits-to-cost (BC) ratios from travel time savings, safety improvements, emissions reductions, and potential revenue generated if property taxes are collected and used to fund such separation projects. The analysis shows that with the estimated BC ratios, the railroad crossing at Nursery Ave. in Fremont, Palm St. in San Diego, and H St. in Chula Vista could be ideal candidates for separation. The methodology presented in this research could serve as a handy reference for decision-makers selecting one or more at-grade crossings for the separation considering economic outputs and costs.
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