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Статті в журналах з теми "Earned schedule"
Menze, Steffen. "Projekt-Controlling mit Earned Value und Earned Schedule." Controlling & Management Review 57, no. 3 (March 2013): 68–76. http://dx.doi.org/10.1365/s12176-013-0759-5.
Повний текст джерелаTripathi, Abhineet, Darshan B. Patel, Patel Rushil Ramanabhai, and Raja Sekhar Mamillapalli. "Comparative Study of Earned Schedule Method With Earned Value Method." International Journal of Technology 5, no. 2 (2015): 197. http://dx.doi.org/10.5958/2231-3915.2015.00021.8.
Повний текст джерелаRisjad, Melati Nurevita, and Basuki Anondho. "VALIDASI PREDIKSI DURASI DENGAN METODE EARNED SCHEDULE UNTUK GEDUNG BERTINGKAT DI JAKARTA." JMTS: Jurnal Mitra Teknik Sipil 3, no. 2 (May 17, 2020): 237. http://dx.doi.org/10.24912/jmts.v3i2.7072.
Повний текст джерелаMayo-Alvarez, Luis, Aldo Alvarez-Risco, Shyla Del-Aguila-Arcentales, M. Chandra Sekar, and Jaime A. Yañez. "A Systematic Review of Earned Value Management Methods for Monitoring and Control of Project Schedule Performance: An AHP Approach." Sustainability 14, no. 22 (November 17, 2022): 15259. http://dx.doi.org/10.3390/su142215259.
Повний текст джерелаSugiyanto, Andree, and Onnyxiforus Gondokusumo. "PERBANDINGAN METODE EARNED VALUE, EARNED SCHEDULE, DAN KALMAN FILTER EARNED VALUE UNTUK PREDIKSI DURASI PROYEK." JMTS: Jurnal Mitra Teknik Sipil 3, no. 1 (February 25, 2020): 155. http://dx.doi.org/10.24912/jmts.v3i1.7069.
Повний текст джерелаZhang, Jing Yang, and Song Jiang Wang. "The Application of Earned Value Management in Small and Medium-Sized Hydropower Stations Project." Applied Mechanics and Materials 357-360 (August 2013): 2371–78. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2371.
Повний текст джерелаAndrade, Paulo André de, Annelies Martens, and Mario Vanhoucke. "Using real project schedule data to compare earned schedule and earned duration management project time forecasting capabilities." Automation in Construction 99 (March 2019): 68–78. http://dx.doi.org/10.1016/j.autcon.2018.11.030.
Повний текст джерелаZakariyya, Bagus, Ahmad Ridwan, and Suwarno Suwarno. "Analisis Biaya Dan Jadwal Proyek Pembangunan Gedung Dinas Kesehatan Kabupaten Trenggalek Dengan Metode Earned Value." Jurnal Manajemen Teknologi & Teknik Sipil 3, no. 2 (October 30, 2020): 362. http://dx.doi.org/10.30737/jurmateks.v3i2.1197.
Повний текст джерелаVaibhava, S., B. Prakash Rao, Dheeraj Vishwanatha Shetty, and Chandra Prakash. "Application of earned value method and earned schedule method for a residential apartment." Journal of Physics: Conference Series 1706 (December 2020): 012117. http://dx.doi.org/10.1088/1742-6596/1706/1/012117.
Повний текст джерелаGuo, Yun-Tao, Shao-Ting Yang, Lin Wang, and Shu-Juan Luo. "Project progress measurement under the circumstance of interrupted schedule." Filomat 30, no. 15 (2016): 4037–48. http://dx.doi.org/10.2298/fil1615037g.
Повний текст джерелаДисертації з теми "Earned schedule"
Abdulahad, Mumtaz. "A Comparison Of Earned Value Analysis Method To Earned Schedule As Of Time Duration." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/518.
Повний текст джерелаBruchey, William J. "A Comparison of Earned Value and Earned Schedule Duration Forecast Methods on Department of Defense Major Defense Acquisition Programs." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17329.
Повний текст джерелаEarned value management is a project management tool that integrates project scope with cost, schedule, and performance elements for optimum project planning and control. Earned value management is required by the Department of Defense for cost and incentive type contracts equal or greater than $20 million as part of a comprehensive approach to improving critical acquisitions. It is used to forecast the programs schedule performance using cost-based indicators but not time-based indicators. Earned value management has been used since the early 1960s as a program management tool, but is viewed by some professionals as incomplete when predicting schedule performance values. An extension of earned value management, called earned schedule, was introduced in 2003 as a tool to more accurately estimate schedule performance using time indicators that is lacking in traditional earned value management estimates. Earned schedule uses standard earned value management performance indicator values and time-based equations to depict the schedule performance. This research project measured the accuracy of earned value and earned schedule final duration forecast methods by analyzing four U.S. Army Chemical Materials Agency programs.
Apostolidou, Ilektra-Georgia, and Georgios Karmiris. "Risk-adjusted Earned Value and Earned Duration Management models for project performance forecasting." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18965.
Повний текст джерелаRhodes, Kevin Robert. "Strategies for Improved Earned Value Management Use by Defense Business Leaders." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3958.
Повний текст джерелаWU, JIUAN-YE, and 吳建燁. "Earned Schedule Inference Model for Construction Project." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/05567747364726613787.
Повний текст джерела國立臺灣科技大學
營建工程系
104
Due to the Restriction by many factors like the environment, weather, and etc., it is difficult to control the schedule accurately during the execution phase. Contractors rely on the past experience to predict the duration which cannot reflect the influence factors and use the current situation in time. In this research, the Earned Schedule Inference Model used the earned value management (EVM) and influence factors of schedule to predict the duration for construction project. Through a precise prediction of project duration, the project manager can take control of schedule in order to avoid problems. This research established the Earned Schedule Inference Model by learning the historical cases. First, the related references was collected and then the influence diagram and the filter diagram were used to figure out the influence factors of project duration. The next step is to combine them with the index of EVM and Earned Schedule Method (ESM). Furthermore, the input and the output variables were identified to establish the database of historical cases which is the base of the model. Second, the Symbiotic Organisms Search - Least Squares Support Machine (SOS-LSSVM) was applied to the model as its main core in order to discover the relationship between the input (influence factors and EVM) , and the output variables (Estimate Schedule to Completion, ESTC) which can be used to calculate to the Estimate Schedule at Completion (ESAC). With the established duration project model, the manager can control the schedule during the execution phase. The obtained results show that this research can provide a highly accurate and stable forecasting. By comparing the results with those of the other Artificial Intelligence (AI) methods and formulas of EVM, it is confirmed that the Earned Schedule Inference Model has a better ability of predicting the duration in order to help schedule control.
Chung, Yao-Hsin, and 鍾耀信. "Fuzzy Earned Value Management Model Considering The Project Schedule Under Uncertainty." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/66316761521555200751.
Повний текст джерела崑山科技大學
資訊管理研究所
101
Earned value management (EVM) is a project management tool by comparing the plan values and actual values to evaluate the project performance in schedule and cost. Comparing with the critical path method (CPM) and program evaluation and review technique (PERT), EVM is more useful and precise to analyze and control the project performance. In information system development project, the project delivables are always undeliverable due to the schedule evaluation exist fuzzy nature during the early stage of the information system development project. This study use EVM combine with fuzzy set theory to proposed the fuzzy EMV model to evaluate the each performance index under the schedule uncertain scenario. The proposed fuzzy EVM model is more useful precise for controlling the project performance under the schedule uncertainty situation. This study also uses the MS-Excel to construct an easy information calculating system to demostrate the availability of the proposed model.
Chen, Hui-Fang, and 陳惠芳. "Improving Project Duration Forecasting Accuracy of Earned Schedule :Sliding Moving Average Approach." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/49530135115777356367.
Повний текст джерела大葉大學
管理學院碩士在職專班
103
Vandevoorde and Vanhouchke(2006) presented three major forecasting methods for project duration and they also presented nine generic formulas to forecast the duration of project and linked them to different project situations. However, these forecasting methods could not reflect recent performance on forecasting project duration, and that might ignore importance of recent performance. Teiholz (1993) proposed Sliding Moving Average (SMA) to forecast project final cost and to revise the above-mentioned shortcomings. In this study, twenty project data are firstly used to determine the best weights of SMA method, then we forecast the project duration under three project scenarios: all projects, early finish, and late finish. Next, we compared the accuracy of the SMA to predict project final duration with the nine methods presented by Vandevoorde and Vanhoucke (2006) ,based on Standard Deviation,Weighted Average Composite Rank, Mean Absolute Percentage Error and Sign Test. The results reveal that comparing accuracy by the standard deviation, forecasting and actual duration,SMA wons first prize. In early finish project,if SMA method takes the combination of weights,w1=0.1 and w2=0.9,that it has the best forecasting ability. In the late finish project, if SMA method takes the combination of weights,w1=0.2 and w2=0.8, it would be most outstanding at the late project progress. The SMA method could improve forecasting accuracy of project final duration,and provide project manager rational reference information.
鄭筱卉. "The Application of Value at Risk in Earned Value Management ─ Schedule At Risk." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/49295434092208013587.
Повний текст джерела國立交通大學
土木工程學系
100
There are many risk factors at each stage in project’s life cycle, each execution factors are likely to give many risks results and increase the uncertainty of this project,also the job achieve time or total finalization may have the negative effect, the effects can cause the huge odds for actual completion. Consider all risks must use to cover the whole environmental factors and with the construction time to update the risk prediction tool that may occur in the case. The study of this project, using the earned value management methods for performance evaluation - Value At Risk, VAR, forecast the project completion schedule by adding value at risk concept of the probability level, the project may confront risks to this forecast in real reaction completed on schedule, to help project managers to more effective management. After ascertaining the model, the schedule at risk used in practice to respond the results of the analysis in the case, and the different between the schedule at risk and the Earned Value Management forecast completion schedule, besides, schedule at risk and the actual completion of the remaining duration to compare the differences discussed.
Mo, Yi-Zheng, and 莫宜錚. "The method of forecasting duration - A preliminary comparisonbetween Earned Schedule Method and Productivity ForecastMethod." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/79901902190987810118.
Повний текст джерела國立高雄第一科技大學
營建工程研究所
99
“Schedule, Quality and Cost” are always three goals for engineering field to chasing continuously in the construction project. Among these three goals, “Schedule” refers to the engineering progress of control, which is that actual working progress and reasonable forecast duration. Part of traditional researches related to the progress of engineering explored the status of budget execution rather than schedule. However, most of Taiwan''s construction industries are used to take the status of lending execution as the progress. This study take a real construction project which is building a new storehouse center and a verified project of steel lifting operation item in OOO head building as an example. This study compare to two forecasting duration methods which are Earned Schedule Method and Thomas Productivity Forecast Method. With these two methods, it shows us the ability of working progress and the accuracy of forecasting schedule. In this study, we take steel lifting operation item coming from a construction project which is building a new storehouse center as an example. The results show: (1) For the ability of project progress, both Productivity Forecast Method and Earned Schedule Method can show us the actual working progress of project with schedule. (2) If there is nothing happened, both earned schedule method and productivity forecast method can forecast the schedule of project accurately. (3) The progress indicator of Earned schedule method can’t connect to invest resources, and there will be some flaws with use in practice.(4) If we change the resources in the project proceed, the ability of forecasting of Productivity Forecast Method is better than Earned Schedule Method’s.
Su, Chien-Chun, and 蘇健群. "Application of Value-at-Risk Techniques in Earned Value Management - Improving the Schedule-at-Risk model." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/837w2j.
Повний текст джерела國立交通大學
土木工程系所
102
Abstract In the entire life cycle of the project, there are many uncertainties and risks, which bring the negative impacts to each individual work and entire project in the schedule. The concept of Value At Risk(VAR) in Earned Value Management(EVM)becomes mature. Thus,in this study,we improve the model of Schedule at Risk(SAR) by bootstrap,Delta Normal method and Earned Schedule(ES).Besides, the proposed method combines the concept, theory and model which is used to assess the loss of the VAR in practice.We will use the volatility of schedule ,SAR and EVM to predict the value at risk of the schedule and do the relevant differences comparative analysis, verification, discussion and improvement in the case: Longjing solar power plant.
Книги з теми "Earned schedule"
Office, General Accounting. Tax administration: Changes to IRS's Schedule K-1 document matching program burdened compliant taxpayers : report to the Chair, Committee on Small Business and Entrepreneurship, U.S. Senate. [Washington, D.C.]: GAO, 2003.
Знайти повний текст джерелаUnited States. Congress. Senate. Committee on Finance. and United States. Congress. Joint Committee on Taxation., eds. Description and analysis of present-law tax rules relating to income earned by U.S. businesses from foreign operations: Scheduled for a public hearing before the Senate Committee on Finance on July 21, 1995. Washington: U.S. G.P.O., 1995.
Знайти повний текст джерелаUnited States. Congress. Senate. Committee on Finance. and United States. Congress. Joint Committee on Taxation., eds. Description and analysis of present-law tax rules relating to income earned by U.S. businesses from foreign operations: Scheduled for a public hearing before the Senate Committee on Finance on July 21, 1995. Washington: U.S. G.P.O., 1995.
Знайти повний текст джерелаLipke, Walter H. Earned Schedule. Lulu Press, Inc., 2009.
Знайти повний текст джерелаLipke, Walter H. Earned Schedule. Lulu Press, Inc., 2010.
Знайти повний текст джерелаService, United States Internal Revenue. Earned Income Credit, Qualifying Child Information, IRS Tax Form 1040, Schedule EIC, 2006. Internal Revenue Service, 2006.
Знайти повний текст джерелаService, United States Internal Revenue. Earned Income Credit, Qualifying Child Information, IRS Tax Form 1040, Schedule EIC, 2005. Internal Revenue Service, 2005.
Знайти повний текст джерелаRethinking Earned Value & Schedule Management on Construction Projects: Solving the World's Construction Performance Problem. FriesenPress, 2021.
Знайти повний текст джерелаRethinking Earned Value & Schedule Management on Construction Projects: Solving the World's Construction Performance Problem. FriesenPress, 2021.
Знайти повний текст джерелаLambert, Lee R. The cost/schedule control systems criteria (C/SCSC): An integrated project management approach using earned value techniques : A lighthearted overview and quick reference users' guide. Lee R. Lambert and Associates, 1990.
Знайти повний текст джерелаЧастини книг з теми "Earned schedule"
Vanhoucke, Mario. "Earned Schedule." In Management for Professionals, 33–40. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04331-9_3.
Повний текст джерелаCapone, Christian, and Timur Narbaev. "Understanding Schedule Progress Using Earned Value and Earned Schedule Techniques at Path-Level." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 244–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85914-5_26.
Повний текст джерелаWang, Qing, Nan Jiang, Lang Gou, Meiru Che, and Ronghui Zhang. "Practical Experiences of Cost/Schedule Measure Through Earned Value Management and Statistical Process Control." In Software Process Change, 348–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11754305_38.
Повний текст джерелаHannay, Jo Erskine. "Earned Business Value Management." In Benefit/Cost-Driven Software Development, 61–74. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74218-8_5.
Повний текст джерела"A Fuzzy Method to Earned Schedule and Cost Performance Indices in Project Management." In International Conference on Measurement and Control Engineering 2nd (ICMCE 2011), 99–109. ASME Press, 2011. http://dx.doi.org/10.1115/1.859858.paper16.
Повний текст джерелаDong, Fangpeng, and Selim G. Akl. "Two Approaches for Workflow Scheduling with Quality of Service in the Grid." In Grid and Cloud Computing, 1265–88. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0879-5.ch601.
Повний текст джерелаThomson, Peter. "The Long Way Home." In Sacred Sea. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195170511.003.0018.
Повний текст джерелаHyman, Louis. "Securing Debt in an Insecure World." In Debtor Nation. Princeton University Press, 2011. http://dx.doi.org/10.23943/princeton/9780691140681.003.0008.
Повний текст джерелаMcKain, Danielle. "CLEP." In Opening Up Education for Inclusivity Across Digital Economies and Societies, 170–90. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7473-6.ch009.
Повний текст джерелаFeldmann, Doug, and Mike Ditka. "Resilience." In A View from Two Benches, 109–19. Cornell University Press, 2020. http://dx.doi.org/10.7591/cornell/9781501749988.003.0007.
Повний текст джерелаТези доповідей конференцій з теми "Earned schedule"
Beck, Philip J., and Dennis Kovacs. "Earned Schedule and the Use of Schedule Execution Reporting Metrics." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78067.
Повний текст джерелаMiguel, Angelimarie, Wira Madria, and Ronaldo Polancos. "Project Management Model: Integrating Earned Schedule, Quality, and Risk in Earned Value Management." In 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2019. http://dx.doi.org/10.1109/iea.2019.8714979.
Повний текст джерелаFlores, Erick J., and Rodrigo F. Herrera. "Use of the Earned Schedule to Subcontractors Control in Construction Projects." In 2021 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI). IEEE, 2021. http://dx.doi.org/10.1109/coniiti53815.2021.9619705.
Повний текст джерелаPrayogi, Reynaldy, Devi Pratami, Ika Arum Puspita, and Ageak Raporte Bermano. "Measuring Schedule Performance of Fiber to The Home Project Using Earned Value Management." In Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icoiese-18.2019.53.
Повний текст джерелаBarlow, Dewey E., Christine M. Miranda, and Howard J. Hunter. "A predictive schedule model for satellite subsystem hardware delivery in an earned value environment." In 2011 IEEE Aerospace Conference. IEEE, 2011. http://dx.doi.org/10.1109/aero.2011.5747632.
Повний текст джерелаSilva, W. P. M., S. Gunatilake, and M. F. F. Fasna. "OPTIMISING VALUE DURING CONSTRUCTION SCHEDULE ACCELERATION." In The 9th World Construction Symposium 2021. The Ceylon Institute of Builders - Sri Lanka, 2021. http://dx.doi.org/10.31705/wcs.2021.38.
Повний текст джерела"Experimental Study on Incentive Effect of Cost and Schedule Factors Based on Earned Value Method." In 2018 2nd International Conference on Innovations in Economic Management and Social Science. Clausius Scientific Press, 2018. http://dx.doi.org/10.23977/iemss.2018.91432.
Повний текст джерелаWu, Meiqiong, Meng Wang, and Dongxiao Niu. "Schedule-cost Joint Management of Thermal Power Construction Project Based on Improved Earned Value Method." 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-17.2017.7.
Повний текст джерелаDang, Guoqing. "Example Application of Cost and Schedule Equilibrium Control Model in Communication Base Station Construction Project Based on Earned Value Method." In 2017 9th International Economics, Management and Education Technology Conference (IEMETC 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/iemetc-17.2017.12.
Повний текст джерелаLi, Ming, Hui Zhou, and Rongxin Zhang. "A Dynamic Measurement Model of Equipment Procurement Progress for Nuclear Power Project Based on EVM." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3662.
Повний текст джерела