Relevant bibliographies by topics / Investment analysis Computer simulation

Academic literature on the topic 'Investment analysis Computer simulation'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Investment analysis Computer simulation"

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Demirci, Emrullah. "Simulation Modelling and Analysis of a Port Investment." SIMULATION 79, no. 2 (February 2003): 94–105. http://dx.doi.org/10.1177/0037549703254523.

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Kovbasiuk, Kateryna, Kamil Židek, Michal Balog, and Liudmyla Dobrovolska. "ANALYSIS OF THE SELECTED SIMULATION SOFTWARE PACKAGES: A STUDY." Acta Tecnología 7, no. 4 (December 31, 2021): 111–20. http://dx.doi.org/10.22306/atec.v7i4.120.

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The simulation software market is becoming more complex and universal. Computer simulations are thus more accessible and are becoming a modern tool that has a wide application in industry. Their potential and benefits can be used in small and large projects. A simulation model can take into account inventory, assembly, production and human resources, leading to decisions that can maintain or improve efficiency at the lowest possible cost. The data obtained through the simulation allow to test different combinations and scenarios in the virtual world. The benefits of manufacturing simulation include reducing investment risk, minimizing waste, improving efficiency, reducing energy consumption and even increasing worker health. The question arises as to which of the possible simulation packages is the most suitable for a given company, so that the investments made are the best possible. In the first part of the paper the theoretical basis of simulation in Industry 4.0 is presented, including the description of the possible simulation modelling tools. The second part of the paper offers comparative and descriptive analysis of six selected discrete-event simulation software packages – AnyLogic, Arena, FlexSim, SIMUL8, Tecnomatix Plant Simulation and WITNESS. The given simulation tools are compared based on their main characteristics, simulation features, application areas and popularity among the companies which use simulation software packages.
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Wang, Zhong, Yingying Zhang, Lian Lian, and Chenglong Chu. "Evaluating transportation infrastructure investment on a regional level: a system dynamics simulation." SIMULATION 94, no. 10 (January 22, 2018): 943–54. http://dx.doi.org/10.1177/0037549717746750.

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Transportation infrastructure investment (TII) has significant influence on regional economic development. This paper aims to measure the potential economic impact of TII and to help policymakers to evaluate different alternatives and strategies at the regional level through a system dynamics (SD) approach. First, an SD model is established to simulate the impact of TII on the economy and employment. The relationship between transportation investments and economic development is examined and the relevant employment and economic indicators are identified. Second, the variables, flow diagrams, and structural equations of the SD model are defined. Third, the program Vensim is employed to establish the SD model with economy, transportation, and employment subsystems. It is then calibrated based on the historical statistics data in Liaoning Province, China. Finally, scenario analysis of different transportation investment plans is presented. The results will help investors, policymakers, and government agencies to estimate the potential outcomes of proposed transportation investment plans and to further develop optimal policies for transportation investment.
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Guodong Chen. "Based on Monte Carlo Simulation Investment Portfolio VaR Risk Analysis." Journal of Convergence Information Technology 8, no. 9 (May 15, 2013): 1071–79. http://dx.doi.org/10.4156/jcit.vol8.issue9.130.

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Gan, Juan, and Chunxi Wang. "The Investment Model of Aviation Industry VCGF Based on AHP Analysis of Computer Simulation." Journal of Physics: Conference Series 1578 (July 2020): 012081. http://dx.doi.org/10.1088/1742-6596/1578/1/012081.

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He, Bo, Dong Hong Wang, Fei Li, and Bao De Sun. "Simulation Study on Wax Injection for Investment Casting." Advanced Materials Research 834-836 (October 2013): 1575–79. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1575.

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As investment castings grow in size and complexity, control of wax pattern dimensions becomes increasingly important and difficult. Conventionally, mold design and dimensions are re-worked by trial-and-error procedures until casting dimensions are produced within acceptable dimensional tolerances, increasing the cost of the castings.Nowadays, numerical simulation is an efficient tool for mold design. However, one of the critical difficulties in using computer models for the simulation of wax injection process is the lack of material properties of the wax. Material property measurements were conducted in this study that can be used as input in Moldflow. Then, 3D numerical simulation could be applied in analysis with mold design of thin-walled wax pattern, with high dependability. Simulation results of filling time and the location of the air traps were analyzed. Consequently, best gate location and reasonable gate system were determined. The paper highlighted the effectiveness of simulation in filling optimization and deformation of wax pattern.
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Smith, Leighton L. "High Technology and Manufacturing: Work Physiology Improvements via the Ergonomic Simulation Analysis System." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 10 (October 1994): 664–67. http://dx.doi.org/10.1177/154193129403801027.

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This article describes an ergonomic analysis tool called the Ergonomic Simulation Analysis System (ESAS). This system is used in conjunction with computer graphic simulation software. The ESAS integrates work physiology ergonomic models and indexes with manufacturing workplace simulation. It enables engineers and analysts to extract from the simulation sequences robust and meaningful ergonomic analyses in lifting and in repetitive motion activities. The system is simple to operate, allows analysts to execute its functions in a seamless manner when using other software, provides robust results with very little setup time investment, and provides effective and readily assimilated visual products of candidate workplace designs and work methods.
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Botchkarev, Alexei. "Estimating the Accuracy of the Return on Investment (ROI) Performance Evaluations." Interdisciplinary Journal of Information, Knowledge, and Management 10 (2015): 217–33. http://dx.doi.org/10.28945/2338.

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Return on Investment (ROI) is one of the most popular performance measurement and evaluation metrics. ROI analysis (when applied correctly) is a powerful tool in comparing solutions and making informed decisions on the acquisitions of information systems. The purpose of this study is to provide a systematic research of the accuracy of the ROI evaluations in the context of information systems implementations. Measurements theory and error analysis, specifically propagation of uncertainties methods, were used to derive analytical expressions for ROI errors. Monte Carlo simulation methodology was used to design and deliver a quantitative experiment to model costs and returns estimating errors and calculate ROI accuracies. Spreadsheet simulation (Microsoft Excel spreadsheets enhanced with Visual Basic for Applications) was used to implement Monte Carlo simulations. The main contribution of the study is that this is the first systematic effort to evaluate ROI accuracy. Analytical expressions have been derived for estimating errors of the ROI evaluations. Results of the Monte Carlo simulation will help practitioners in making informed decisions based on explicitly stated factors influencing the ROI uncertainties.
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Lu, Jing Jing, and Xuan Xi Ning. "Application of Monto-Carlo Method in HR Investment Risk Evaluation." Key Engineering Materials 458 (December 2010): 131–36. http://dx.doi.org/10.4028/www.scientific.net/kem.458.131.

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Monto-Carlo method is widely used for project risk analysis. Evaluating the risk in HR (Human Resources) investment project, which is of hi-investment and hi-return, by Monto-carlo method is a new attempt. In this paper, by taking cost, profit and risk in the HR investment as index, emulation model of HR investment and index function of risk evaluation were established. Simulation about the whole investment course was done by computer program using Monto-Carlo method. Case study of HR investment risk evaluation was done later using concrete data.
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NI, JINLAN, and DEEPAK KHAZANCHI. "INFORMATION TECHNOLOGY INVESTMENT DECISIONS UNDER ASYMMETRIC INFORMATION: A MODIFIED RATIONAL EXPECTATION MODEL." International Journal of Information Technology & Decision Making 08, no. 01 (March 2009): 55–72. http://dx.doi.org/10.1142/s0219622009003260.

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In this paper, we propose that information technology (IT) managers make investment decisions about new IT initiatives based on a modified rational expectation model. Unlike traditional rational expectation models, we emphasize the relevance of market uncertainty and its impact on the return of new IT investment. This results in information acquisition decisions by managers that can cause information asymmetry. This information asymmetry is endogenous and so the IT manager can become well informed if and only if it is beneficial to do so. We also capture different levels of IT investment across managers by introducing heterogeneity across managers in terms of different levels of initial capital. Based on a simulation analysis to validate our theoretical model, we find that it is the IT manager with larger initial capital outlay who is particularly interested in acquiring information about their IT investments in order to reduce any asymmetry with competitors. Furthermore, we find that holding other things constant, fewer IT investors are informed when information cost increases and in consequence the difference of investment level between the informed and uninformed investors is more pronounced.
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Dissertations / Theses on the topic "Investment analysis Computer simulation"

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Mallinson, Clyde A. "Risk analysis assessment of the influence of geological factors on exploration and mining investment alternatives : development of a microcomputer simulation model." Thesis, Rhodes University, 1987. http://hdl.handle.net/10962/d1001564.

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A microcomputer risk analysis model is developed and used in an exploration - delineation simulation to analyse in particular the effects of geological factors on exploration mining investment alternatives. Analysis of results indicate that geological parameters can have profound effects on such investment alternatives and that the role of the geologist in determining and evaluating the significance of the various geological factors is critical. Simulation examples highlight some of the key geological parameters and show how changes in these parameters influence both the expected mean results and the standard deviations of such means. The risk analysis model provides an ideal means of conveying the importance of the different geoiogical factors on exploration - delineation - mining investment alternatives and may be used as a geological education aid
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Brink, Charlotte H. "Measuring political risk as risks to foreign investment : a computer-assisted model for analysing and managing political risk." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52929.

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Thesis (PhD)--University of Stellenbosch, 2002.
ENGLISH ABSTRACT: As the title suggests, the major challenge that this study faces is to set out and design a model for analysing and enabling the management of political risk as investment risk - a model that is both sensitive to and reflective of the comprehensive business and investment climate in a country, not only credit or country risk, or only pure political risk in its narrowest definition. In reading about past and more recent research in the field of political risk analysis, it becomes clear that many authors begin by noting the diversity and the discrepancies of the existing definitions of political risk, but evidence in political risk insurance shows that the major perceived political risks that investors insure their interests against seem to be confiscation, expropriation and nationalisation. In the light of this study's findings though, a case can be put forward for urging that the conceptualisation of political risk be extended to further include any or all of the micro political risk factors and their indicators that have been identified to ensure that political events do not impact negatively on a foreign company's profitability. Foreign investors put assets at risk to achieve their objectives and the assessment of these risks, including political risks, is the key to successful operations. Opportunities and risks are often two sides of the same coin and political risk comprises a large part of the environmental forces in terms of the management challenges a Multinational Company (MNC) faces in any investment climate. A firm's foreign investment strategy deals with the positioning of the organisation in an uncertain host country environment and investment climate. This study attempts to explain how a firm's political risk exposure, which refers to the sensitivity of a firm's projected profitability and operationability in a host country to changes in the investment climate, could be managed and reduced. It is hoped that political risk analysis and management can assist foreign operations in managing the risks that might have otherwise proven to be destructive to profitability and operationability. It is irresponsible to present a potential investor with a risk assessment that does not incorporate political risk factors and their indicators, let alone environmental, societal and socio-economic risk factor indicators. Ultimately any business climate, regardless of the country being studied, is underwritten by a political system, political climate, political culture and business culture of the system in which foreign business wishes to operate profitably. What is often labelled as unnecessary and irrelevant detail in risk analysis often results in a lack of using micro risk factors and their indicators and an underestimation of the importance of such micro risk indicators. Hopefully this study takes up the challenge of showing that political risk can be managed and political risk analysis can be made more precise - that it is possible to measure and manage political risk.
AFRIKAANSE OPSOMMING: Soos die titel van hierdie studie voorstel is een van die grootste uitdagings die ontwerp van 'n model vir die analise van politieke risiko as beleggingsrisiko - 'n model wat ter selfde tyd sensitief is vir en weerspieëlend van 'n land se algemeen omvattende besigheids- en beleggingsklimaat, en nie slegs suiwer politieke risiko in die nouste sin van die woord nie. 'n Literatuurstudie van meer onlangse navorsing, asook navorsing wat in die verlede gedoen is oor politieke risiko en die analise daarvan, dui daarop dat baie outeurs melding maak van die diversiteit en teenstrydighede in die bestaande definisies van politieke risiko. Die teenwoordigheid van versekering teen politieke risiko wys egter daarop dat die primêre politieke risiko's waarteen beleggers hulle belange verseker meesal nasionalisering en onteiening is, asook die beslaglegging op beleggings. Teen die agtergrond van hierdie studie se bevindinge, kan daar egter 'n saak uitgemaak word vir die verbreeding van die konseptualisering van politieke risiko om enige of alle van die mikro-politieke risiko faktorindikatore wat in hierdie studie identifiseer word in te sluit, om sodoende te verseker dat die negatiewe gevolge wat politieke gebeure moontlik mag inhou vir 'n buitelandse maatskappy se belange, sover moontlik beperk word. Buitelandse beleggers stel bates bloot aan risiko's ten einde voorafgestelde doelwitte te bereik en die assessering van hierdie risiko's, insluitende politieke risiko's, is 'n groot bydraende' faktor tot die suksesvolle bedryf van buitelandse beleggings. Geleenthede en risiko's is dikwels twee kante van diesIefde muntstuk en politieke risiko maak 'n groot deel uit van die uitdagende beleggingsomgewing waarin die bestuur van 'n multinasionale korporasie (MNK) daagliks moet funksioneer. 'n Maatskappy se buitelandse beleggingstrategie handel met die posisionering van die organisasie in die onvoorspelbare beleggingsklimaat van 'n vreemde land. Hierdie studie poog ook om te verduidelik hoe die mate waarin 'n firma blootgestel word aan politieke risiko, met ander woorde die sensitiwiteit van 'n firma se voorgenome winsgewendheid en bedryf teenoor veranderinge in die beleggingsklimaat van 'n vreemde land, bestuur en verminder kan word. Daar word gehoop dat politieke risiko analise en die bestuur daarvan 'n bydra kan lewer tot buitelandse besighede se bestuur van hierdie risiko's, wat andersins 'n vemietgende impak kan hê op die winsgewendheid van buitelandse bedrywighede. Dit is onverantwoordelik om aan 'n buitelandse belegger 'n risiko analise voor te lê wat nie politieke risiko faktore en die daarmee gepaardgaande indikatore insluit nie. Die studie argumenteer verder dat faktorindikatore wat die fisiese omgewing, sosiale asook sosio-ekonomiese faktore aanspreek ook in 'n risiko analise ingesluit moet word. Oplaas is enige besigheidsklimaat, nieteenstaande die land wat bestudeer word, onderskryf deur 'n politieke stelsel, politieke klimaat, politieke kultuur en besigheidskultuur van die stelsel waarin die buitelandse besigheid winsgewende resultate as doelwit het. Wat dikwels beskou word as onnodige en irrelevante detail in risiko analise lei dikwels tot 'n gebrek aan die insluiting van mikro-risiko faktore en hulle indikatore weens 'n onderskatting van die noodsaaklikheid daarvan om juis sulke mikro-risiko faktorindikatore in 'n risiko analise in te bou. Hierdie studie aanvaar hopelik die uitdaging om te wys dat politieke risiko tog bestuur kan word en dat politieke risiko analise tog meer eksak gemaak kan word - dat dit wel moontlik is om politieke risiko te meet en bestuur.
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Evteev, Alexander V., Elena V. Levchenko, Irina V. Belova, and Graeme E. Murch. "Carbon diffusion in austenite: computer simulation and theoretical analysis: Carbon diffusion in austenite: computer simulation andtheoretical analysis." Diffusion fundamentals 6 (2007) 16, S. 1-2, 2007. https://ul.qucosa.de/id/qucosa%3A14190.

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ZHOU, XINYU. "COMPUTER SIMULATION AND LOW-COST OPTIMIZATION OF AN INVESTMENT BI-METAL CASTING PROCESS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1123793441.

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Hon, Wing-hong, and 韓永康. "Analysis of DNA shuffling by computer simulation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B27771027.

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Su, Xiuling. "Computer Aided Optimization of an Investment Bi-Metal Casting Process." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin998405696.

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Falkingham, Peter Lewis. "Computer simulation of dinosaur tracks." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/computer-simulation-of-dinosaur-tracks(3b3b150d-c05e-4667-96b5-3c17405856e5).html.

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Fossil tracks represent the only direct record of behaviour and locomotion of extinct animals. A computer model using finite element analysis (FEA) has been developed to simulate vertebrate track formation in cohesive substrates. This model has been designed for, and successfully run on, high performance computing (HPC) resources. A number of individual studies were carried out using the computer model to simulate both abstract indenters and virtual dinosaur autopodia. In addition to the simulation studies, two fossil tracks were described, including the first report of bird tracks at the Mammoth Site of Hot Springs, South Dakota (USA) and a re-description of a 'dinosaur tail drag' as the trace of a crocodilian. Using the computer model, it has been shown that in a wet, soft mud the indentation of a non-webbed virtual tridactyl foot created a resultant track with features analogous to 'webbing' between digits. This 'webbing' was a function of sediment deformation and subsequent failure in 3D, specific to rheology. Apparent webbing impressions were clearly developed only within a limited range of sediment conditions and pedal geometry. Indenter (pedal) geometry and morphology affect track depth independently of substrate and loading parameters. More complex morphologies interact with the cohesive substrate creating a lower effective load than that applied. In non-cohesive substrates such as sand, this effect is reversed, and it is the more compact morphologies that indent to a lesser degree. Virtual sauropod tracks were modelled, based on published soft tissue reconstructions of autopodia anatomy, and published mass/centre of mass estimates. It was shown that foot morphology and differential loading between fore- and hind- limbs leads to a range of substrates in which only the manus or pes are able to generate tracks. This offers a new mechanism for the formation of manus-only sauropod trackways, previously interpreted as having been made by swimming dinosaurs. A series of tracks were simulated using input data (loads, pedal morphologies) from four different dinosaurs (Brachiosaurus, Tyrannosaurus, Struthiomimus, and Edmontosaurus). The cohesive substrates used displayed a 'Goldilocks' effect, allowing the formation for tracks only for a very limited range of loads for any given foot. In addition, there was a strong bias toward larger animals, both in homogeneous and theoretically heterogeneous substrates. These findings imply that interpretations from track assemblages must consider that only a small proportion of the total fauna present may be recorded as a track assemblage due to substrate properties. The use of FEA to simulate dinosaur track formation has been shown to be successful, and offers a number of advantages over physical modelling including; consistency between experiments, specific control over input variables, rapid undertaking of repeatable experiments, and the ability to view subsurface deformation non-destructively. It is hoped that this work will lead to an increased interest in modelling tracks, and offer a quantitative method for studying fossil tracks.
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Syam, Bustami. "Analysis and computer simulation of tube extrusion process." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1183473897.

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Lira, Bonates Eduardo Jorge. "Analysis of truckshovel dispatching policies using computer simulation." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65406.

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Choi, Jou-Young. "Flexible multibody analysis of thin structures with actuated components." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/12532.

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Books on the topic "Investment analysis Computer simulation"

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David, Kelton W., ed. Simulation modeling and analysis. New York, N.Y: McGraw-Hill, 1991.

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David, Kelton W., ed. Simulation modeling and analysis. 2nd ed. New york: McGraw-Hill, 1991.

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Object-oriented analysis and simulation. Harlow, England: Addison-Wesley, 1996.

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S, Smith Jeffrey, and Sturrock David T, eds. Simio & simulation: Modeling, analysis, applications. 2nd ed. Boston: Learning Solutions, 2011.

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David, Kelton W., ed. Simulation modeling and analysis. 3rd ed. Boston: McGraw-Hill, 2000.

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Engineering analysis with SolidWorks simulation 2010. Mission, KS: SDC Publications, 2010.

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Baldwin, Richard E. Investment creation and investment diversion: Simulation analysis of the Single Market programme. Cambridge, MA: National Bureau of Economic Research, 1995.

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Baldwin, Richard E. Investment creation and investment diversion: Simulation analysis of the single market programme. London: Centre for Economic Policy Research, 1995.

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Groundwater discharge tests: Simulation and analysis. Amsterdam: Elsevier, 1988.

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Martin, Peter T. Freeway incidents: Simulation and analysis. Fargo, N.D.]: Mountain-Plains Consortium, 2011.

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Book chapters on the topic "Investment analysis Computer simulation"

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Sadiku, Matthew N. O., and Sarhan M. Musa. "Simulation." In Performance Analysis of Computer Networks, 115–66. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01646-7_5.

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Arvanitis, L. G., and R. M. Reich. "Computer Simulation and Sampling Efficiency." In Computer assisted vegetation analysis, 59–67. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3418-7_6.

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Borg, I., and J. Lingoes. "Computer Simulation Studies on SSA." In Multidimensional Similarity Structure Analysis, 118–39. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4768-5_8.

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Stemmler, M., M. Schallmo, and F. Hediger. "Computational Modeling of Investment Casting." In Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, 286–92. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527606157.ch45.

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Serradell-Lopez, Enric, Pablo Lara-Navarra, David Castillo-Merino, and Inés González-González. "Confidence-Based Learning in Investment Analysis." In Communications in Computer and Information Science, 28–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13166-0_4.

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Kohler, W., and M. Schindler. "Two Phase Flow Analysis Capability of Advanced Computer Codes." In Nuclear Simulation, 133–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84279-5_10.

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Banerjee, Sudip, and Goutam Sutradhar. "Analysis of Casting Defects in Investment Casting by Simulation." In Lecture Notes on Multidisciplinary Industrial Engineering, 247–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-96968-8_12.

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Liu, Yachen, Xiaoqing Xu, and Ning Liu. "Analysis of Infrastructure Investment Risks by VaR." In Communications in Computer and Information Science, 273–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23023-3_41.

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Tenreiro Machado, J. A., J. L. Martins de Carvalho, Antonio M. C. Costa, and Jose S. Matos. "Dedicated Computer System for Robot Manipulators." In Systems Analysis and Simulation II, 167–70. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-8936-1_32.

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Case, David A. "Normal mode analysis of biomolecular dynamics." In Computer Simulation of Biomolecular Systems, 284–301. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-1120-3_12.

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Conference papers on the topic "Investment analysis Computer simulation"

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Shi Daoyuan. "The application of Monte Carlo computer simulation in investment risk analysis." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5691779.

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Marchev, Jr., Angel, and Angel Marchev. "Computer simulation environment for comparative analysis of models for investment portfolio management." In 39TH INTERNATIONAL CONFERENCE APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS AMEE13. AIP, 2013. http://dx.doi.org/10.1063/1.4854797.

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Sata, Amit, and B. Ravi. "Foundry Data Analytics to Identify Critical Parameters Affecting Mechanical Properties of Investment Castings." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70004.

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Besides shape fidelity and internal soundness, mechanical properties have become critical acceptance criteria for investment cast parts. These properties are mainly driven by the chemical composition of cast alloy as well as process parameters. It is however, difficult to identify the most critical parameters and their specific values influencing the mechanical properties. This is achieved in the present work by employing foundry data analytic based on Bayesian inference to compute the values of posterior probability for each input parameter. This is demonstrated on real-life data collected from an industrial foundry. Controlling the identified parameters within the specific range of values resulted in improved mechanical properties. Unlike computer simulation, artificial neural networks and statistical methods explored by earlier researchers, the proposed approach is easy to implement in industry for controlling and optimizing the parameters to achieve the desired range of mechanical properties. The current work also shows the way forward for building similar systems for other casting and manufacturing processes.
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Sundaram Karibeeran, Shanmuga, M. Prakash, Ramachandiran Alaguraja, and Muruganandhan Radhakrishnan. "Computer Assisted Design and Analysis of Shedding Mechanism of Powerloom Machineries." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51277.

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Cloth has always been the most worldwide of all imported and exported commodities. It is an enlightening example of the movement of knowledge, skills, goods and investment across wide geographic seats. South Asia has been dominant for making of these worldwide interactions over period. This capacity grants advanced research that discovers the dynamic ways in which various textile production and trade regions generated the ‘first globalization’. A series of specialists connect this worldwide commodity with the dramatic political and economic alterations that characterised the India in the recent centuries. Together, the papers transform our understanding of the contribution of South Asian cloth, specifically Indian cloth to make the modern world economy. India is the largest share of its exports being textiles and apparels to the world. Also weaving is second only to agriculture sector in terms of providing employment in India. This paper a simple spreadsheet program method of calculations for the complete kinematics and dynamic analysis of the shedding mechanism of the classical powerloom is presented. Shedding is one of the important processes used in weaving technology of textile machineries. Most of the powerlooms of India uses staubli’s M5 module for shedding. These modules are activated through the traditional slider-crank mechanism. The source energy for these modules is through electric motor coupled with clutch and resulting output is shedding action of warp threads of cloth. Objective of this work is to address the kinematics and Dynamics simulation of linkage assembly of shedding mechanism of textile machinery considering all the links of the model as rigid one. Also this paper examines the effect of dynamic forces on various joints of conventional kinematic model. Subsequently the optimisation of mechanism is carried out by varying the design factor ratio of the slider crank mechanism. Length of connecting rod to radius of the crank shaft has been taken into account for defining design factor ratio for the analysis. Altered varieties of models having various design factors are modeled using 3D modeling package Solidworks. Simulation test results and force analysis of these models were carried out using ADAMS. Being a single degree of freedom mechanism as defined by its crank angle, the spreadsheet program can be used to answer what - if? situation queries through tables and graphical plots to evaluate variations of key motion and loading parameters with changes in the design factor. Thus, it allows for the conduct of parameter studies in selecting optimum crank-and-connecting-rod linkage dimensions and speeds. Thus, this work provides an alternative solution and scope for further research in shedding mechanism’s simulation analysis.
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Blok, Kornelis, and Wim C. Turkenburg. "Past and Future of Industrial Cogeneration in The Netherlands." In ASME 1992 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/92-gt-352.

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Gas turbine based combined heat and power generation (cogeneration) has developed strongly in the Netherlands in the past twenty years and has the potential to do so also in the future. In this paper the effect of government incentives, both in the past and in the future, is explored. In the years 1968 through 1988 1200 MW of industrial cogeneration capacity was installed, based primarily on gas turbines technology. This brought total cogeneration capacity to 1800 MW. The amount of electricity generated by private companies tripled in the period 1968 through 1988. In 1988 industrial power generation supplied 37 MJe, which is equal to nearly 15% of the total amount of electricity consumed in the Netherlands. In the period up to 1978 there was hardly any governmental policy directed towards stimulation of industrial cogeneration. From 1978 onwards a number of stimulating measures have been brought into operation. From an analysis of implementation and effects of government incentives we conclude that the investment grants provided by the government had a considerable effect on the profitability of cogeneration investments. To a lesser extent this was also valid for relatively cheap standby power contracts that were provided by the utilities. However, stimulation of cogeneration only occurred as far as it concerned electricity production for owner consumption. The production of electricity which had to be sold to the utility grid has never been profitable enough from the industrial viewpoint, notwithstanding the provided incentives, like improved buy-back tariffs. The future potential of industrial cogeneration has been calculated using a computer model in which a simulation and economic optimization is carried out individually for each of the 300 largest industrial plants in the Netherlands. Using this computer model it can be calculated that in principle the cogeneration capacity in the Netherlands can still be doubled. The cogeneration capacity that can be expected to be realized without any government incentive is estimated to be less than 400 MW. The application of investment grants up to 40% can at best double this figure. Carbon taxes of up to $150 per tonne C are somewhat more effective. In order to realize a large part of the ultimate potential stronger policy measures are necessary, which could be regulation which forbids the use of large-scale steam raising in conventional boilers. Without the application of such physical regulation not much may be expected of private industrial investments in cogeneration. However, utility initiatives presented recently hold the promise of realizing a large part of the potential of industrial cogeneration in the Netherlands.
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Lovén, Eva. "Modelling and Simulation Used to Understand Learning of New Computer-Based Tools - In Cooperative and Competitive Engineering Context." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/ts-23417.

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Abstract There is a growing belief that computer-based tools can and should be used to improve quality and productivity. But studies show there is a wide gap between theory and practice. Few investments in computerisation resulted in a measured improvement in profit. Companies have difficulties in integrating technology, organization and people especially when initiating and implementing new computer-based tools for engineering design work. Few studies have simulated social behaviour and used the engineers’ language to understand complex social phenomenon. A question raised in this paper is if a competitive context is more productive than a co-operative context when learning new computer-based tools? The paper discusses theoretical more closely what competition and co-operation does to us and presents the results from modelling and simulation of two individuals/groups that learn new tools in cooperative — compared to competitive — engineering context. When mathematical tools are used, people implicitly assume a great deal of accuracy from the tool. A lot of the criticism when mathematical modelling is used in new areas stem from the fact that the area is to be considered to complex to be analysed with the accuracy expected from mathematical tools. This criticism does not, however, take into account that verbal mental model are nevertheless used which are no more accurate than a mathematical model is. In this paper it is illustrated how learning new tools in co-operative compared to competitive environment is better for productivity. The results show the importance of an external stabilising loop to handle a potentially competitive context and transform it into a co-operative one. Management must handle the looses in a competitive context. Deming supports our results and he wrote that one of the manager’s roles is to understand the benefits of co-operation and the losses from competition between people and between groups. Our simulations show this clearly. Co-operative and competitive systems are defined in mathematical terms. Two kinds of competitive systems are identified; under-critical and over-critical, where the over-critical competitive system is destructive in the sense that it leads to collapse of some of the participants. The presented example shows that simulation can be used to enhance and illuminate the reasoning of organisation and behaviour of groups. Furthermore, it ensures that the reasoning and description is stringent and sharpened because of the fact that it must be translated into mathematical terms. On the other hand it must be emphasised that the result is no more valid than the underlying assumptions, but this is true for all analysis being mathematical or purely verbal.
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Cordeiro, Jhonatam, and Salil Desai. "The Leidenfrost Effect at the Nanoscale." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8650.

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Nanotechnology has been presenting successful applications in several field, such as electronics, medicine, energy and new materials. However, the high cost of investment in facilities, equipment and materials as well as the lack of some experimental analysis at the nanoscale can restrain research in nanotechnology. The implementation of accurate computer models can alleviate this problem. This work investigates the Leidenfrost effect at the nanoscale using molecular dynamics simulation. Models of water droplets with diameters of 4nm and 10nm are simulated over gold and silicon substrates. To induce the Leidenfrost effect, droplets at 293K were deposited on the substrates at 373K. As a baseline, simulations were run with substrates at room temperature. Results show that for substrates at 293K, the 4nm droplet has higher position variability than the 10nm droplets. For substrates at 373K, the 4nm droplets have higher velocities than the 10nm droplets. The wettability of the substrate also influences the Leidenfrost. Droplets over the gold substrate which has hydrophobic characteristics have higher velocities as compared to droplets over silicon that has a hydrophilic behavior. Moreover, the Leidenfrost effect was observed at the boiling temperature of water (373K) which is a significantly lower temperature than reported in previous experiments at the microscale.
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Wright, Richard F., James R. Schwall, Creed Taylor, Naeem U. Karim, Jivan G. Thakkar, and Terry Schulz. "AP1000 Passive Residual Heat Removal Heat Exchanger Confirmatory Analysis." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89524.

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The AP1000 is an 1100 MWe advanced nuclear power plant that uses passive safety features to enhance plant safety and to provide significant and measurable improvements in plant simplification, reliability, investment protection and plant costs. The AP1000 received final design approval from the US-NRC in 2004. The AP1000 design is based on the AP600 design that received final design approval in 1999. Wherever possible, the AP1000 plant configuration and layout was kept the same as AP600 to take advantage of the maturity of the design and to minimize new design efforts. As a result, the two-loop configuration was maintained for AP1000, and the containment vessel diameter was kept the same. It was determined that this significant power uprate was well within the capability of the passive safety features, and that the safety margins for AP1000 were greater than those of operating PWRs. A key feature of the passive core cooling system is the passive residual heat removal heat exchanger (PRHR HX) that provides decay heat removal for postulated LOCA and non-LOCA events. The PRHR HX is a C-tube heat exchanger located in the in-containment refueling water storage tank (IRWST) above the core promoting natural circulation heat removal between the reactor cooling system and the tank. Component testing was performed for the AP600 PRHR HX to determine the heat transfer characteristics and to develop correlations to be used for the AP1000 safety analysis codes. The data from these tests were confirmed by subsequent integral tests at three separate facilities including the ROSA facility in Japan. Owing to the importance of this component, an independent analysis has been performed using the ATHOS-based computational fluid dynamics computer code PRHRCFD. Two separate models of the PRHR HX and IRWST have been developed representing the ROSA test geometry and the AP1000 plant geometry. Confirmation of the ROSA test results were used to validate PRHRCFD, and the AP1000 plant model was used to confirm the heat removal capacity for the full-sized heat exchanger. The results of these simulations show that the heat removal capacity of the PRHR HX is conservatively represented in the AP1000 safety analyses.
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Huang, Jong S. "A graphical simulation environment for stochastic investment analysis." In the 20th conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/318123.318334.

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Futas, Peter. "COMPUTER SIMULATION OF CASTING PRODUCED BY INVESTMENT CASTING TECHNOLOGY." In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v1/s07.004.

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Reports on the topic "Investment analysis Computer simulation"

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Baldwin, Richard, Rikard Forslid, and Jan Haaland. Investment Creation and Investment Diversion: Simulation Analysis of theSingle Market Programme. Cambridge, MA: National Bureau of Economic Research, November 1995. http://dx.doi.org/10.3386/w5364.

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Knee, H. E., and P. M. Haas. MAPPS (Maintenance Personnel Performance Simulation): a computer simulation model for human reliability analysis. Office of Scientific and Technical Information (OSTI), January 1985. http://dx.doi.org/10.2172/5337915.

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Thompson, James R. Some Topics in Computer Assisted Modeling, Simulation, and Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada429085.

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Pozolo, Michael K. Computer-Based Simulation and Stability Analysis of M35A2/M105A2 Combination. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada255507.

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Kilaas, R. Computer simulation of high resolution transmission electron micrographs: theory and analysis. Office of Scientific and Technical Information (OSTI), March 1985. http://dx.doi.org/10.2172/5649044.

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Klopcic, J. T., Robert M. Sheroke, and Scott K. Price. Input Manual for the Army Unit Resiliency Analysis (AURA) Computer Simulation Model 1990 Update. Fort Belvoir, VA: Defense Technical Information Center, December 1990. http://dx.doi.org/10.21236/ada230908.

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Комарова, Олена Володимирівна, and Альберт Армаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR Workshop Proceedings (CEUR-WS.org), 2018. http://dx.doi.org/10.31812/123456789/2695.

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Abstract. Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of the high school method of modelling genetic and evolutionary processes in populations, computer simulation. Results of the research: a web page for processing by the pupils of the modelling results of genetic and evolutionary processes in populations was created.
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Комарова, Олена Володимирівна, and Альберт Арамаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/2656.

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Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of the high school method of modelling genetic and evolutionary processes in populations, computer simulation. Results of the research: a web page for processing by the pupils of the modelling results of genetic and evolutionary processes in populations was created.
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Prevo, William K. Capacity Analysis of a Family Care Clinic Using Computer Simulation to Determine Optimal Enrollment Under Capitated Resource Allocation Constraints. Fort Belvoir, VA: Defense Technical Information Center, April 1998. http://dx.doi.org/10.21236/ada372403.

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Szymanski, J. K. Sensitivity analysis of production and power consumption to various constructional and operating factors using a computer based simulation conveyor - bin/hopper model. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304959.

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