Academic literature on the topic 'Cost Management System'
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Journal articles on the topic "Cost Management System"
ANDREI, Florin. "Internal Control system: Cost of Risk vs. Risk Management. Case study: Romanian Banking System." Logos Universality Mentality Education Novelty. Section: SOCIAL SCIENCES 04, no. 01 (June 30, 2015): 133–43. http://dx.doi.org/10.18662/lumenss.2015.0401.12.
Full textGregory, Rita A. "Construction Cost Management Analysis System." Journal of Parametrics 10, no. 3 (October 1990): 3–15. http://dx.doi.org/10.1080/10157891.1990.10462483.
Full textBrimson, James A., and Callie Berliner. "The cost management system project." Computer-Aided Engineering Journal 4, no. 5 (1987): 198. http://dx.doi.org/10.1049/cae.1987.0048.
Full textLátečková, A., and E. Škorecová. "Economic software – information support of product cost management." Agricultural Economics (Zemědělská ekonomika) 49, No. 8 (March 2, 2012): 365–68. http://dx.doi.org/10.17221/5415-agricecon.
Full textLane, Jo Ann, and Barry Boehm. "System-of-Systems Cost Estimation." Information Resources Management Journal 20, no. 2 (April 2007): 23–32. http://dx.doi.org/10.4018/irmj.2007040102.
Full textAhmadi, Mohsen, and Neda Hajizadeh. "Design and Development of a Simulating Prototype Cost Effective Insulin Management System." Indian Journal of Applied Research 4, no. 7 (October 1, 2011): 203–5. http://dx.doi.org/10.15373/2249555x/july2014/62.
Full textNazarova, Vera Leonidovna, Asiya Akanovna Korzhengulova, Alexey Alexandrovich Mesentsev, Alaydarkyzy Kalamkas, and Aida Mazhidovna Dauzova. "Efficient cost management." LAPLAGE EM REVISTA 7, no. 2 (January 7, 2021): 268–83. http://dx.doi.org/10.24115/s2446-6220202172714p.268-283.
Full textSloboda, Larysa. "Cost-management in correspondent banking relationships." Geopolitics under Globalization 1, no. 2 (December 28, 2017): 21–33. http://dx.doi.org/10.21511/gg.01(2).2017.03.
Full textPower, Kevin C., Jay B. Fitzgerald, George E. Meyer, and Dennis D. Schulte. "Plant Production Cost-accounting/Management System." HortScience 26, no. 2 (February 1991): 201–3. http://dx.doi.org/10.21273/hortsci.26.2.201.
Full textStoliar, Lyudmila, Iryna Mustetsa, and Mykola Skrypnyk. "COST MANAGEMENT SYSTEM IN CHEMICAL INDUSTRY." BULLETIN OF CHERNIVTSI INSTITUTE OF TRADE AND ECONOMICS 73, no. 1 (2019): 100–113. http://dx.doi.org/10.34025/2310-8185-2019-1.73.08.
Full textDissertations / Theses on the topic "Cost Management System"
Theodorakopoulos, Thomas F. "Integrated cost management system for delivering construction projects." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/27629.
Full textPetrucci, David J. "Improved affordability in DoD acquisitions through strategic management of systemic cost risk." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/100364.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 93-95).
For almost 70 years, actual costs of Major Defense Acquisition Programs (MDAPs) in the Department of Defense (DoD) have exceeded on average between 20% and 506% of their life cycle cost estimates, which are official expectations of actual program costs prior to completion. Despite numerous DoD acquisition reform efforts and implementation of sophisticated cost estimation techniques, this cost growth continues to exist. Accurate cost estimates are vital to the capital budgeting process for the DoD since they are used to set the affordability cap for each MDAP and across DoD Component weapon system program portfolios. Affordability is defined as the upper limit a DoD Component can allocate for a program without reducing costs or shifting resources between programs. To improve affordability in the DoD, a method that quantifies and adjusts for the persistent cost growth to enhance the accuracy of cost estimates is needed to promote more responsible and sustainable MDAP capital investment decisions. This thesis presents a simple yet powerful method of quantifying and correcting for systemic cost estimation risk in MDAPs to improve cost estimate accuracy and, consequently, affordability. Cost estimation risk is defined as the difference between estimated and actual MDAP costs (on average a deficit), and it consists of systemic and program-specific components. This dichotomized risk framework is similar to the one used in the Capital Asset Pricing Model (CAPM) in which the growth rate in value of any one of a set of assets comprising a market in equilibrium is proportional to its systemic risk exposure to that market. In the CAPM, systemic risk aggregated risk from multiple economic factors - pervades the market and is unavoidable, and asset-specific risk is considered unpredictable due to idiosyncratic uncertainties. By analogy, the growth rate in cost estimates for a program belonging to the "market" of MDAPs is assumed proportional to that MDAP's systemic risk exposure to the market. Like in CAPM, systemic cost estimation risk - aggregated risk from 26 systemic factors identified in this thesis - pervades the market for MDAPs, as evidenced by historical cost overruns, and program-specific cost risk is considered unpredictable and best mitigated by program-dedicated professional cost estimators in the DoD and defense industry. From this analogy, the expected growth-beta relationship of CAPM may be adapted to determine for MDAPs the systemic cost risk-adjusted growth rates for the defense commodity classes of aircraft, electronics and software, missiles, ships, space and satellites, and vehicles. These classes are the same used by the Bureau of Economic Analysis to segment defense commodities into distinct price index "baskets" based upon common inflation risks among commodities within each class. Based on this rationale, each MDAP is assumed to share systemic cost risk within its respective class; this risk is measured by beta in the expected growth-beta relationship. Defense commodity class beta values are calculated by linear regression of historical percentage cost estimate changes of member MDAPs with those of all MDAPs, and then averaging these beta values over the appropriate defense commodity class. Next, the expected cost estimate growth rate for any MDAP may be calculated by first estimating the future expected growth rate in all MDAPs using the arithmetic mean of historical annual cost estimate percentage changes, and then scaling this rate by the particular MDAP's systemic cost risk exposure - the defense commodity class beta value for which it is a member. Finally, the Systemic Risk Factor (SRF) for each defense commodity class is calculated from these growth rates and the forecast time horizon, adjusted for compounding effects over relatively longer time horizons, and then applied to current MDAP cost estimates to form systemic risk-adjusted cost estimates to improve affordability. This method was applied to an empirical retrospective case study using a set of cost data from six MDAPs, one from each commodity class, as a partial validation of the method. The results of this study show an overall 57% enhancement in estimation accuracy when comparing the initial and SRF-adjusted MDAP cost estimates to the final estimates, indicating quantifying and adjusting for systemic cost risk can improve cost estimation accuracy. To show the effectiveness of this method on improving affordability, these six programs were combined to form a hypothetical acquisition portfolio and assessed for affordability over a five year period. While the unadjusted portfolio was not affordable four out of five years, the SRF-adjusted portfolio was affordable in all but the last year, illustrating the benefit of adjusting cost estimates for systemic risk. However, the benefits of improved cost estimate accuracy and affordability come at the cost of potentially over-budgeting for priority MDAPs thereby leaving less funds available for other, lower priority programs. Additionally, this method is not shown to be optimal in the sense of minimizing cost estimate errors to maximize affordability. Still, empirical results are promising and warrant further research into the idea of using SRFs to adjust life cycle cost estimates and ultimately improve MDAP affordability for the DoD.
by David Petrucci.
S.M. in Engineering and Management
Escobedo, Arnaldo C. "Peruvian weapon system acquisition process." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA241840.
Full textThesis Advisor(s): Haga, William J. Second Reader: Gates, William R. "December 1990." Description based on title screen as viewed on March 29, 2010. DTIC Identifier(s): Life Cycle Costs, Cost Analysis, Weapon Systems, Military Procurement, Acquisition, Foreign Military Sales, USSR, Peru, Technology Transfer, International Trade, Debt, Theses. Author(s) subject terms: Peruvian Weapon Systems Acquisition Process, Life Cycle Cost Analysis, Unite Foreign Military Sales. Includes bibliographical references (p. 79-83). Also available in print.
Obi, L. I. "Development of a system model for cost management in low-cost housing projects in Nigeria." Thesis, University of Salford, 2017. http://usir.salford.ac.uk/41605/.
Full textMorris, Harry W. (Harry Winfred). "Facility management system--a life cyle cost model program documentation." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14878.
Full textHuang, Ken S. M. Massachusetts Institute of Technology. "Towards an information technology infrastructure cost model." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42365.
Full textIncludes bibliographical references (leaves 66-67).
Ever since the introduction of the Internet in 1994, one of the defining characteristics of the global economy, particularly in the US, is a dramatic increase in expenditures on Information Technology. While this trend is expected to continue, a major issue for companies of all sizes is the manner in which precise forecasting of future IT cost may be undertaken. The present thesis investigates the possibility that a set of the essential deterministic cost drivers with varying weighted factors may prove capable of estimating total IT infrastructure costs. An online questionnaire was developed for this purpose, and was used to survey senior IT leadership teams. The data collected from this survey was then computed with Analytical Hierarchy Process (AHP) to illustrate the relative importance of different cost drivers. The study revealed three primary findings. First, that a set of essential deterministic cost drivers with varying weighted factors could be used as a general tool for estimating the total cost of IT infrastructure. Second, these different sectors prioritize cost drivers differently from each other. In the Financial Services sector, for instance, the security of the IT network was reported to be of greater importance than the service call response time. In the Technology sector, however, the opposite was true. Third, numerous correlations were found to exist within each cost driver category defined. The correlated nature of these cost parameters may mean that a more parsimonious model may be more predictive of total IT infrastructure costs. It is hoped that these findings may be of benefit to a variety of large and small commercial and government entities, which may be able to use the predictive cost drivers to help eliminate problems related to inaccurate IT cost estimates.
(cont.) It is believed that the cost model proposed may be applicable across a variety of economic sectors. In this thesis, its applicability is demonstrated within the 3 financial services and technology sectors. Future research may be useful in evaluating the model further, by increasing the sample size, and by testing the reliability and validity of the cost model within additional economic sectors.
by Ken Huang.
S.M.
Page, Austin M. (Austin Markley). "Technical debt : the cost of doing nothing." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121795.
Full textCataloged from PDF version of thesis. Vita.
Includes bibliographical references (pages 93-96).
The Air Force is currently paying a cost for the mismanagement of its software development activities. Software-intensive systems are consistently plagued with cost, schedule, and performance issues, which in the current fiscal environment is unsustainable. There has been much research on the benefits of process improvement, yet the concept of product health is largely ignored. Technical debt - the consequence of making short-term design decisions at the expense of long-term health - has been accumulating within code bases as developers and managers struggle to identify, quantify, and manage it properly. In this thesis, an extensive literature search is performed to define technical debt, explain its implications, and highlight methods to quantify and visualize it so organizations can address it explicitly. Through the use of architectural health analysis tools, a set of metrics is defined and used in case studies to highlight the extent to which the Air Force has lost control of its software and the price it has to pay because of it. Ultimately, eleven recommendations are given on how to incorporate architectural health analysis tools into software development activities to prevent, identify, manage, and reduce the amount of technical debt across product lifecycles.
by Austin M. Page.
S.M. in Engineering and Management
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
Blake, William L. (William Lawrence) 1970. "Using system dynamics to understand barriers to cost reduction." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/88862.
Full textChang, Josh (Josh Woolim). "Cost accounting system for an emergency department." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98979.
Full textThesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 113-114).
In 2011, Michael Porter and Robert Kaplan - the godfather of modern managerial accounting and professor at Harvard Business School - said "There is an almost complete lack of understanding of how much it costs to deliver patient care, much less how those costs compare with the outcomes achieved." They also stated "U.S. healthcare costs exceed 17% of GDP and continue to rise" and "a fundamental source of escalating costs is the system by which those costs are measured" [1] In 2015, Beth Israel Deaconess Medical Center (BIDMC), a Harvard teaching hospital, and MIT's Leaders for Global Operations program partnered to address this cost measurement issue for BIDMC's Emergency Department (ED). The joint team developed a cost accounting model and implemented it as a software system. Using the resulting system as a ruler for measuring cost of each patient visit, the ED is now able to assess cost of each visit, identify leverage points for cost reduction, and discover best practices from its own data. Most importantly, the ED is now making informed cost improvement decisions and can measure the impact of changes. This paper documents in detail how we developed the cost accounting model and implemented the cost accounting system at the BIDMC ED, so that other emergency departments may be able to benefit.
by Josh Chang.
M.B.A.
S.M.
Aysegul, Kuzucu. "Analyzing Cost Structure In Logistics Sector: A System Dynamics Approach." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12606936/index.pdf.
Full texts conditions, systems that surround individuals have evolved in structure such that, nature of variable interactions are much more complex and changing continuously. Logistics systems, which constitute an example for such systems, have also necessitated fast management and decision-making in a fast paced environment, under limited sources with the additional effect of increasing customer requirements and competition. These conditions require a dynamic analysis. In this study, system dynamics approach was shown to be a competent alternative to analyze complex and dynamic systems like logistics systems and its cost structure studied. A theoretical logistics model with a user interface is presented. Then the developed model implemented in an organization operating in aluminum industry by making the required modifications. A scenario analysis regarding a new investment decision studied. All analysis and modeling studies were carried out in Stella 6.0.1.
Books on the topic "Cost Management System"
J, Wright Bruce. Designing & improving a cost management system. [New York, N.Y.]: American Management Association, 1991.
Find full textExecutive, NHS Management. Management checklist for a cost-effective hospital telephone system. [London]: NHS Management Executive, 1991.
Find full textLeech, Mark. Transferability and adaptation of the Japanese cost management system. Manchester: UMIST, 1995.
Find full textCheung, Richard Chin Hung. A High-performance cost-effective parallel system for maintenance management. Uxbridge: Brunel University, 1991.
Find full textKapp, Karl M. Assessing the true cost of implementing an ERP System. Alexandria, VA: APICS Educational & Research Foundation, 2000.
Find full textSeo, Young Uk. Cost-effectiveness methodology for evaluating a tactical communications system in the Korean Army. Monterey, California: Naval Postgraduate School, 1988.
Find full textUnterstützung von Selbstorganisation durch das Controlling: Eine systemorientierte Untersuchung auf der Grundlage des Viable-System-Model. Frankfurt am Main: P. Lang, 1995.
Find full textHall, John Stuart. Connecting public policy and management: The Arizona Health Care Cost Containment System experiment. Albany, N.Y: Nelson A. Rockefeller Institute of Government, 2000.
Find full textSiagian, Berlian Timur Parluhutan. Cost and financial management evaluation system in Indonesian public health sector: Consultant report. Jakarta: Ministry of Health, Republic of Indonesia, 1987.
Find full textBear, Robert. Cost management system design: Developing a pilot model using an activity-oriented approach. London: CIMA, 1997.
Find full textBook chapters on the topic "Cost Management System"
Drury, Colin. "Accounting entries for a job costing system." In Management and Cost Accounting, 106–30. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-6828-9_5.
Full textRahimian, Farzad Pour, Jack Steven Goulding, Sepehr Abrishami, Saleh Seyedzadeh, and Faris Elghaish. "A centralised cost management system." In Industry 4.0 Solutions for Building Design and Construction, 138–54. London: Routledge, 2021. http://dx.doi.org/10.1201/9781003106944-7.
Full textAhmad, Azhan, and Somnuk Phon-Amnuaisuk. "Low Cost Parking Space Management System." In Proceedings in Adaptation, Learning and Optimization, 385–93. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27000-5_31.
Full textJackson, Denise F., and Thomas G. Greenwood. "Conceptual Model of an Activity-Based Cost Management System." In Cost Estimating and Analysis, 271–81. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2936-0_15.
Full textRosenthal, David, and James Gosling. "System Aspects of Low-Cost Bitmapped Displays." In Methodology of Window Management, 107–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70919-7_12.
Full textMonden, Yasuhiro. "Functional Management to Promote Company-Wide Quality Control and Cost Management." In Toyota Production System, 239–51. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-9714-8_15.
Full textHu, Nan, Jue Bo, Ran Ran, Dapeng Zhou, Ruiting Qu, Pan Hu, and Yu Xia. "Cost Management Model Based on Multidimensional System." In Advances in Intelligent Systems and Computing, 202–9. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43309-3_27.
Full textFürst, K., and T. Schmidt. "Low-cost System for Supply Chain Management." In Global Engineering, Manufacturing and Enterprise Networks, 156–63. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-0-387-35412-5_18.
Full textDinukova, O. A. "Functional Cost Analysis in the HR Management System." In Digital Economy and the New Labor Market: Jobs, Competences and Innovative HR Technologies, 558–65. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60926-9_71.
Full textXIAO, Juan-juan. "Implementation Plan Design of Labor Cost Management System." In Proceedings of the 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2014), 435–39. Paris: Atlantis Press, 2015. http://dx.doi.org/10.2991/978-94-6239-100-0_80.
Full textConference papers on the topic "Cost Management System"
"Design and Implementation of Engineering Cost Management System." In 2018 2nd International Conference on Systems, Computing, and Applications. Francis Academic Press, 2018. http://dx.doi.org/10.25236/systca.18.079.
Full textBekić, Damir, Igor Kerin, Panagiotis Michalis, Eamon McKeogh, Paul Cahill, and Vikram Pakrashi. "BRIDGE SMS: Intelligent bridge maintenance and management system." In Joint COST TU1402 - COST TU1406 - IABSE WC1 Workshop: The Value of Structural Health Monitoring for the reliable Bridge Management. University of Zagreb Faculty of Civil Engineering, 2017. http://dx.doi.org/10.5592/co/bshm2017.5.3.
Full textHurzhii, Polina. "COST MANAGEMENT SYSTEM AND ITS ELEMENTS." In The results of scientific mind's development: 2019. 유럽과학플랫폼, 2019. http://dx.doi.org/10.36074/22.12.2019.v1.02.
Full text"Dynamic Management Control System of Engineering Cost." In 2020 Conference on Economics and Management. Scholar Publishing Group, 2020. http://dx.doi.org/10.38007/proceedings.0000476.
Full textZhao, Xiaoqiang, and Weirong Liu. "Refinery Production Cost Control and Management System." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.877.
Full textGharpure, Damayanti C., and Sunil K. David. "Low-cost photomask inspection system." In 15th Annual BACUS Symposium on Photomask Technology and Management '95, edited by Gilbert V. Shelden and James N. Wiley. SPIE, 1995. http://dx.doi.org/10.1117/12.228196.
Full textHou, Zhi. "Management information system of activities-based quality-cost." In EM 2011). IEEE, 2011. http://dx.doi.org/10.1109/icieem.2011.6035332.
Full textWen, Ji Chao. "Real Estate Company Project Cost Management Responsibility System." In 2017 3rd International Conference on Humanities and Social Science Research (ICHSSR 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ichssr-17.2017.19.
Full textXiao, Juanjuan. "Implementation Plan Design of Labor Cost Management System." In 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI 2014). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/iemi-14.2014.80.
Full textHan, Leong Mei, Yang Zhao, and Jun Zhao. "POSTER: Blockchain-Based Differential Privacy Cost Management System." In ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3320269.3405446.
Full textReports on the topic "Cost Management System"
Lundeen, A. S., K. M. Hsu, and D. E. Shropshire. Waste management facilities cost information: System cost model product description. Revision 2. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/224316.
Full textWright, Margaret B. Software Development Standards for Project Cost Management Information System. Fort Belvoir, VA: Defense Technical Information Center, December 1990. http://dx.doi.org/10.21236/ada231282.
Full textPeterson, B. L., and A. S. Lundeen. Waste Management facilities cost information: System Cost Model Software Quality Assurance Plan. Revision 2. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/214309.
Full textWeingart, J. Cost Data Management System. CDMS Version 2. 2. Final report. Office of Scientific and Technical Information (OSTI), December 1985. http://dx.doi.org/10.2172/6191673.
Full textWeingart, J. Cost Data Management System User's Guide supplement. CDMS Version 2. 2. Office of Scientific and Technical Information (OSTI), December 1985. http://dx.doi.org/10.2172/6457199.
Full textJarrell, Joshua J., Robert Anthony Joseph, III, Rob L. Howard, Gordon M. Petersen, Mark Nutt, Joe Carter, and Thomas Cotton. Cost Implications of an Interim Storage Facility in the Waste Management System. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1347302.
Full textNaugolnova, I. A. SUBJECT, OBJECT AND THIHG OF THE COST MANAGEMENT SYSTEM IN INDUSTRIAL ENTERPRISES. MODERN SCIENCE AND ITS RESOURCE SUPPORT: INNOVATIVE PARADIGM, 2020. http://dx.doi.org/10.18411/2158-rnprf-782158947-125879.
Full textAuthor, Not Given. Integrated municipal solid waste management: Six case studies of system cost and energy use. A summary report. Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/164934.
Full textBerkman, Nancy D., Eva Chang, Julie Seibert, Rania Ali, Deborah Porterfield, Linda Jiang, Roberta Wines, Caroline Rains, and Meera Viswanathan. Management of High-Need, High-Cost Patients: A “Best Fit” Framework Synthesis, Realist Review, and Systematic Review. Agency for Healthcare Research and Quality (AHRQ), October 2021. http://dx.doi.org/10.23970/ahrqepccer246.
Full textJohnson, Billy, and Zhonglong Zhang. The demonstration and validation of a linked watershed-riverine modeling system for DoD installations : user guidance report version 2.0. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40425.
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