Academic literature on the topic 'Time management methods'
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Journal articles on the topic "Time management methods"
Bogenberger, K., and S. Weikl. "Quality Management Methods for Real-Time Traffic Information." Procedia - Social and Behavioral Sciences 54 (October 2012): 936–45. http://dx.doi.org/10.1016/j.sbspro.2012.09.809.
Full textUlusoy, Özgür. "Incorporating real-time scheduling methods into database management systems." Journal of Information Science 21, no. 4 (August 1995): 324–28. http://dx.doi.org/10.1177/016555159502100409.
Full textNoprianty, Richa. "TIME LEARNING MANAGEMENT NURSING STUDENTS USING TIME MANAGEMENT QUESTIONNAIRE (TMQ) IN IMPLEMENTING PROBLEM BASED LEARNING (PBL) METHODS." Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education 8, no. 1 (March 30, 2019): 39. http://dx.doi.org/10.22146/jpki.44861.
Full textDesrosiers, Jacques, Francois Soumis, Martin Desrochers, and Michel SauvéGerad. "Methods for routing with time windows." European Journal of Operational Research 23, no. 2 (February 1986): 236–45. http://dx.doi.org/10.1016/0377-2217(86)90243-2.
Full textCaporin, Massimiliano, and Giuseppe Storti. "Financial Time Series: Methods and Models." Journal of Risk and Financial Management 13, no. 5 (April 28, 2020): 86. http://dx.doi.org/10.3390/jrfm13050086.
Full textHaffner, Eric W., and Robert J. Graves. "Managing new product time to market using time-cost trade-off methods." Omega 16, no. 2 (January 1988): 117–24. http://dx.doi.org/10.1016/0305-0483(88)90042-4.
Full textPoncela, Pilar. "Time series analysis by state space methods." International Journal of Forecasting 20, no. 1 (January 2004): 139–41. http://dx.doi.org/10.1016/j.ijforecast.2003.11.005.
Full textBaker, Lee C., and Jeremy Howard. "Winning methods for forecasting tourism time series." International Journal of Forecasting 27, no. 3 (July 2011): 850–52. http://dx.doi.org/10.1016/j.ijforecast.2011.03.003.
Full textDecker, Stephanie. "Organizations in Time: History, Theory, Methods." Business History Review 90, no. 2 (2016): 333–37. http://dx.doi.org/10.1017/s0007680516000386.
Full textKouali, Georgia, and Petros Pashiardis. "Time management profiles of Cypriot school principals: a mixed-methods approach." International Journal of Educational Management 29, no. 4 (May 11, 2015): 492–518. http://dx.doi.org/10.1108/ijem-02-2014-0019.
Full textDissertations / Theses on the topic "Time management methods"
Bahcivancilar, Ugur. "Validation Of Methods Time Measurement Data." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614916/index.pdf.
Full texts technology provides new computerized tools to perform time studies. One of such tools is Real Time Method Study (RTMS). RTMS is a computerized method study tool being developed in METU Technopolis, which uses Image Processing and Machine Learning to conduct time studies automatically. RTMS uses MTM data as a benchmark data to compare observed performance results
therefore validity of MTM data is an important issue for it. In order to test the validity of MTM data an experiment conducted in the Ergonomics Laboratory of the METU Industrial Engineering Department. In this experiment 40 undergraduate students performed four different tasks. These tasks were recorded by a video camera and analyzed frame by frame to calculate normal times for basic motions of MTM. Results are compared with the original MTM data and it is shown that MTM times do not fit the observed data. This study in the end suggests updating MTM data or constructing a new standard time database by using a tool like RTMS.
Jirátková, Marie. "Time management v práci stavebního manažera." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-401472.
Full textAleksic, Mario. "Incremental computation methods in valid and transaction time databases." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8126.
Full textRigaut, Tristan. "Time decomposition methods for optimal management of energy storage under stochasticity." Thesis, Paris Est, 2019. http://www.theses.fr/2019PESC2015/document.
Full textThe development of energy storage paves the way to innovative methods to manage energy at a local scale. Micro grids are a novel kind of electrical grids with local production (renewable and waste energy), local demand, local storage and an Energy Management System (EMS). A wide literature already studies EMS implementations in micro grids but the produced methods are not exhaustively framed and compared. One of the main difficulty in micro grids energy management is to handle the different dynamics of electrical devices. Current variations are lighting fast, solar power changes quickly, different kind of storage react at different paces and batteries ageing is a slow process. We studya mathematical framework and algorithms, based on multistage stochastic optimization theory and Dynamic Programming, to model and solve energy management problems in micro grids with time decomposition methods. In the first part of this thesis, Contributions to time decomposition in multistage stochastic optimization, we present a general framework to decompose temporally large scale stochastic optimization problems into smaller subproblems. We then classify multiple existing resolution methods inside this framework. In the second part, Stochastic optimization of energy storage for management of micro grids, we compare different methods presented in the first part on realistic applications. First we control a battery and a ventilation in a subway station recovering subways braking energy with four different algorithms. Then we present how these results could be implemented on a real micro grid. We implement a fast online control method to stabilize the voltage in a simulated islanded DC micro grid connecting solar panels, an electrical load and two sorts of energy storage: a battery and a supercapacitor. Finally we apply our time decomposition framework to a problem of long term aging and energy management of a storage in a micro grid. This last chapter introduces a framework to model time decomposition of micro grids hierarchical control architectures, as well as two algorithms to solve temporally large scale stochastic optimization problems.In the third part, Softwares and experimentations, we present DynOpt.jl, a Julia language package developed to produce all the results of this thesis and more. Then we study an application of this software to the control of a real test bed: the energy aware temperature regulation of a real house in the equipment named "Sense City"
Filitti, Constantin Alexandru. "Portfolio selection in continuous time : analytical and numerical methods." Online version, 2004. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=012032625&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textJurthe, Rick. "Parasite Future : Creation of an audio record and critical reflection on the production process with remarks on applying time management methods on creative work processes in music production." Thesis, Kungl. Musikhögskolan, Institutionen för musik- och medieproduktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kmh:diva-4116.
Full textDet övergripande målet för detta examensarbete var att skapa en ljudinspelning bestående av sju låtar som är både sammanhängande och mycket individuella samtidigt. Låtarna ska presentera mångfalden av min kreativa identitet som kompositör och musikproducent och ska representera mitt individuella sätt att komponera och producera musik befriad från alla yttre influenser på bästa möjliga sätt. Denna masteruppsats är en dokumentation och kritisk reflektion samt en undersökning av skapandeprocessen: från att sortera ur originalmaterialet, skriva, producera och arrangera till mixning och mastering. Observationerna jag gör är den väsentliga delen av att undersöka min egen kreativa identitet som musikproducent och kompositör. Förutom ljudinspelningen och dess kritiska reflektion kommer denna masteruppsats också att ge kommentarer om tre metoder för time management som jag använder under min skapandeprocess för att observera effekterna på min arbetsrutin.
Chan, Eric Glenn. "Forecasting the S&P 500 index using time series analysis and simulation methods." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55206.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 100-102).
The S&P 500 represents a diverse pool of securities in addition to Large Caps. A range of audiences are interested in the S&P 500 forecasts including investors, speculators, economists, government and researchers. The primary objective is to attempt to provide an accurate 3 month and 12 month forecast using the recent credit crisis data, specifically during the time range of 10/2008 - 09/2009. Several methods were used for prediction fit including: Linear Regression, Time Series Models: Autoregressive Integrated Moving Averages (ARIMA), Double Exponential Smoothing, Neural Networks, GARCH, and Bootstrapping Simulations. The criteria to evaluate forecasts were the following metrics for the evaluation range: Root Mean Square Error (RMSE), Absolute Error (MAE), Akaike information criterion (AIC) and Schwartz Bayesian criterion (SBC). But most importantly, the primary forecasting measure includes MAE and Mean Absolute Percentage Error (MAPE), which uses the forecasted value and the actual S&P 500 level as input parameters. S&P 500 empirical results indicate that the Hybrid Linear Regression outperformed all other models for 3 month forecasts with the explanatory variables: GDP, credit default rates, and VIX volatility conditioned on credit crisis data ranges, but performed poorly during speculation periods such as the Tech Bubble. The Average of Averages Bootstrapping Simulation had the most consistent historical forecasts forl2 month levels, and by using log returns from the Great Depression, Tech Bubble, and Oil Crisis the simulation indicates an expected value -2%, valid up to 12 months.
(cont.) ARIMA and Double Exponential smoothing models underperformed in comparison. ARIMA model does not adjust well in the "beginning" of a downward/upward pattern, and should be used when a clear trend is shown. However, the Double Exponential Smoothing is a good model if a steep incline/decline is expected. ARMAX + ARCH/EGARCH performed below average and is best used for volatility forecasts instead of mean returns. Lastly, Neural Network residual models indicate mixed results, but on average outperformed traditional time series models (ARIMA/Double Exponential Smoothing). Additional research includes forecasting the S&P 500 with other nontraditional time series methods such as VARFIMA (vector autoregressive fractionally integrated moving averages) and ARFIMA models. Other Neural Network techniques include Higher Order Neural Networks (HONN), Psi Sigma network (PSN), and a Recurrent Neural Network (RNN) for additional forecasting comparisons.
by Eric Glenn Chan.
S.M.in Engineering and Management
Pelican, Ullice John. "Strategies of Successful Government IT Projects Based on Cost and Time." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5400.
Full textChurchill, Hugh (Hugh Edward). "Cycle-time analysis and improvement using lean methods within a retail distribution center." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99018.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 70-71).
Fulfillment cycle-time, or the time it takes to pick an item from inventory, pack it into a box, and load it on a truck for shipment, is one of the main inputs in determining how quickly an online retailer can promise customer order delivery. The faster the fulfillment cycle-time, the later an order can be received and still make the appropriate truck for guaranteed, on-time arrival (e.g. same-day, next day, 3-5 business days). Thus, the customer experience is improved, as they are allowed to place an order later and still receive their purchases quickly. To take advantage of this, the retailer must first be able to measure cycle-time appropriately within their facility. This thesis examines the outbound fulfillment process within an under-performing Amazon fulfillment center (Site A) with the purpose of fully characterizing and measuring fulfillment cycle-time. Comparisons are drawn with like Amazon facilities, and a lean operations approach is taken to identify and eliminate major forms of waste in an effort to shorten cycle-time. The baseline analysis within this thesis provides evidence that current-state cycle-time at Site A is in fact 15% faster than originally thought. However, process improvements were still needed to bring cycle-time in line with the network standard. The remainder of the work within this thesis focuses on these process improvements and develops the following recommendations: 1. Standardize the pick process with a move closer to single piece flow. 2. Reduce and control queue length prior to the pack process in order to reduce non-value-added wait time. 3. Reduce batch size for critical items that must move through the facility the fastest. 4. Rearrange process steps to allow completion in parallel rather than series. The method for evaluating cycle-time and the implementation of lean solutions introduced throughout this thesis are useful as a template for similar analyses throughout the Amazon FC network, as well as within other warehousing and online retailer operations.
by Hugh Churchill.
M.B.A.
S.M.
Friedlander, Michael Arthur. "A robust non-time series approach for valuation of weather derivativesand related products." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47147234.
Full textBooks on the topic "Time management methods"
Time management from the inside out: The foolproof system for taking control of your schedule--and your life. 2nd ed. New York: Henry Holt/Owl Books, 2004.
Find full textTime management from the inside out: The foolproof system for taking control of your schedule--and your life. New York: Henry Holt, 2000.
Find full textMackenzie, R. Alec. New time management methods for you and your staff. Chicago: Dartnell Corp., 1990.
Find full textMackenzie, R. Alec. Teamwork through time management: New time management methods for everyone in your organization / R. Alec MacKenzie. Chicago: Dartnell, 1990.
Find full textMotion and time study: Improving work methods and management. Englewood Cliffs, N.J: Prentice Hall, 1992.
Find full textFooks, Jack H. Profiles for performance: Total quality methods for reducing cycle time. Reading, Mass: Addison-Wesley, 1993.
Find full textTōkeikyoku, Japan Sōrifu. Kokumin no seikatsu kōdō: Shōwa 61-nen shakai seikatsu kihon chōsa no kaisetsu = The survey on time use and leisure activities 1986 : major results and analyses. Tōkyō: Sōrifu Tōkeikyoku, 1988.
Find full textTaipalus, Katja. Detecting asset price bubbles with time-series methods. Helsinki: Finlands Bank, 2012.
Find full textQuantitative methods for portfolio analysis: MTV model approach. Dordrecht: Kluwer Academic Publishers, 1993.
Find full textBook chapters on the topic "Time management methods"
Semet, Frédéric, and Gilles Goncalves. "Real-Time Fleet Management: Typology and Methods." In Multimodal Transport Systems, 139–71. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118577202.ch3.
Full textOakshott, Les. "Time series analysis." In Essential Quantitative Methods for Business, Management and Finance, 186–206. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14759-5_12.
Full textVoehl, Christopher F. "Rewards and Recognition: Traditional and Emerging Methods for Recognizing Innovation Excellence." In Total Innovative Management Excellence (TIME), 489–509. New York, NY : Routledge, 2020.: Productivity Press, 2020. http://dx.doi.org/10.4324/9781003004554-16.
Full textChoraś, Michał, Rafał Kozik, Marek Pawlicki, Witold Hołubowicz, and Xavier Franch. "Software Development Metrics Prediction Using Time Series Methods." In Computer Information Systems and Industrial Management, 311–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28957-7_26.
Full textMiłaszewicz, Danuta. "Free Time as a Non-market Good: Methods of Its Valuation." In Contributions to Management Science, 165–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67020-7_9.
Full textPaliderova, Martina, and Katarina Frajtova Michalikova. "Theoretical Background of Facility Management." In Advances in Time Series Data Methods in Applied Economic Research, 503–9. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02194-8_33.
Full textBentz, Yves. "Quantitative Equity Investment Management with Time-Varying Factor Sensitivities." In Applied Quantitative Methods for Trading and Investment, 213–37. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470013265.ch7.
Full textBouma, J. "Methods to Characterize Soil Resource Variability in Space and Time." In Site-Specific Management for Agricultural Systems, 201–7. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1995.site-specificmanagement.c15.
Full textTrojanowski, Krzysztof, Artur Mikitiuk, and Jakub A. Grzeszczak. "Run-Time Schedule Adaptation Methods for Sensor Networks Coverage Problem." In Computer Information Systems and Industrial Management, 461–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47679-3_39.
Full textTimmerman, Brent D. "CI Principle #2: Study and Adopt Methods of Time Management." In Starting Lean from Scratch, 275–77. New York, NY : Routledge, 2019.: Productivity Press, 2019. http://dx.doi.org/10.4324/9780429196867-61.
Full textConference papers on the topic "Time management methods"
Liu, Hua, Mingsuo LI, Ronggang ZHU, and Liwei ZHOU. "High resolution methods on multiple configuration systems." In Real-time Photonic Measurements, Data Management, and Processing V, edited by Bahram Jalali, Ming Li, and Mohammad Hossein Asghari. SPIE, 2020. http://dx.doi.org/10.1117/12.2573653.
Full text"RESEARCH ON LOGISTICS LOCATION OPTIMIZATION MODEL BASED ON TIME DIMENSIONS." In Special Session on Modeling Methods for Logistics Management. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003580406560661.
Full textLatifah, Arnida L., and Iwan Setiawan. "Comparing deterministic and geostatistical methods for spatial rainfall distribution in Jakarta area." In 2014 IEEE 2nd International Conference on Technology, Informatics, Management, Engineering & Environment (TIME-E). IEEE, 2014. http://dx.doi.org/10.1109/time-e.2014.7011589.
Full textEsteves, João Victor, Sérgio Lifschitz, Rosa Maria Costa, and Ana Carolina Almeida. "Streaming state management methods for real-time data deduplication." In XXXV Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/sbbd.2020.13652.
Full textSaarelainen, Tapio, and Jussi Timonen. "Tactical management in near real-time systems." In 2011 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2011). IEEE, 2011. http://dx.doi.org/10.1109/cogsima.2011.5753452.
Full textColson, C. M., M. H. Nehrir, and S. A. Pourmousavi. "Towards real-time microgrid power management using computational intelligence methods." In Energy Society General Meeting. IEEE, 2010. http://dx.doi.org/10.1109/pes.2010.5588053.
Full textBrandolese, Carlo, and William Fornaciari. "A Framework for Compile-time and Run-time Management of Non-functional Aspects in WSNs Nodes." In 2009 12th Euromicro Conference on Digital System Design, Architectures, Methods and Tools (DSD). IEEE, 2009. http://dx.doi.org/10.1109/dsd.2009.241.
Full textLesniewski, Piotr, and Andrzej Bartoszewicz. "Discrete time sliding mode inventory management — Hyperbolic tangent reaching law based approach." In 2014 19th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE, 2014. http://dx.doi.org/10.1109/mmar.2014.6957364.
Full textRaineri, Marina, Corrado Guarino Lo Bianco, Marco Locatelli, and Simone Perri. "A real-time strategy for the management of kinematic singularities: New progresses." In 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2016. http://dx.doi.org/10.1109/mmar.2016.7575159.
Full textMolnos, Anca, and Kees Goossens. "Conservative Dynamic Energy Management for Real-Time Dataflow Applications Mapped on Multiple Processors." In 2009 12th Euromicro Conference on Digital System Design, Architectures, Methods and Tools (DSD). IEEE, 2009. http://dx.doi.org/10.1109/dsd.2009.229.
Full textReports on the topic "Time management methods"
Kulikova, T. Demonstration and presentation material for training seminars "Time management: time management methods and techniques". Science and Innovation Center Publishing House, March 2016. http://dx.doi.org/10.12731/kulikova.22032016.21722.
Full textPowell, Warren B. Information Acquisition and Representation Methods for Real-Time Asset Management. Fort Belvoir, VA: Defense Technical Information Center, June 2008. http://dx.doi.org/10.21236/ada484498.
Full textMiller, Kaleigh. US Guided Management of Undifferentiated Dyspneic Patient in the ED. University of Tennessee Health Science Center, March 2020. http://dx.doi.org/10.21007/com.lsp.2020.0001.
Full textTarko, Andrew P., Thomas Hall, Cristhian Lizarazo, and Fernando España-Monedero. Speed Management in Small Cities and Towns—Guidelines for Indiana. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317122.
Full textYan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.
Full textVeland, Siri, and Christine Merk. Lay person perceptions of marine carbon dioxide removal (CDR) – Working paper. OceanNETs, July 2021. http://dx.doi.org/10.3289/oceannets_d3.3.
Full textLempert, Robert J., Michelle Miro, and Diogo Prosdocimi. A DMDU Guidebook for Transportation Planning Under a Changing Climate. Edited by Benoit Lefevre and Ernesto Monter Flores. Inter-American Development Bank, February 2021. http://dx.doi.org/10.18235/0003042.
Full textTarko, Andrew P., Qiming Guo, and Raul Pineda-Mendez. Using Emerging and Extraordinary Data Sources to Improve Traffic Safety. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317283.
Full textRojas Smith, Lucia, Megan L. Clayton, Carol Woodell, and Carol Mansfield. The Role of Patient Navigators in Improving Caregiver Management of Childhood Asthma. RTI Press, April 2017. http://dx.doi.org/10.3768/rtipress.2017.rr.0030.1704.
Full textMcDonagh, Marian, Andrea C. Skelly, Amy Hermesch, Ellen Tilden, Erika D. Brodt, Tracy Dana, Shaun Ramirez, et al. Cervical Ripening in the Outpatient Setting. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepccer238.
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