Academic literature on the topic 'Time management methods'

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Journal articles on the topic "Time management methods"

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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.

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Ulusoy, 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.

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Noprianty, 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.

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Background: The paradigm shift of learning method centered on the students has been applied to several universities, one of them by using Problem Based Learning (PBL) method. The importance of good time management will produce readiness to face the PBL process because in the PBL process using self directed learning where a student is required to be able to manage the time independently. The purpose of this study is to know the time management of nursing students by using Time Management Questionnaire (TMQ) in implementing Problem Based Learning (PBL) method in STIKes Dharma Husada Bandung.Method : The type of research is quantitative with the model of analytic design and cross sectional approach. The sample of research is student of class of 2014 and 2015 of Nursing Study Program of 169 students. The research instrument with Time Management Questionnare (TMQ) developed by Briton & Tesser (1991) has been tested its validity and reliability with Alpha Cronbach 0,800 by Allay & Kocak (2002). The questionnaire consists of short-term planning, attitude toward time and long-term planning.Result : Most respondents have good time management that is 53.3%. For short-term planning most have good time management of 58.6% with the highest mean of 4.25 on "Put the priority first" points, the attitude towards time mostly has good time management of 61.5% with the highest mean of 4.10 at the point of "responsible for time for yourself", and long-term planning mostly has a good time management of 50.9% with the highest mean of 3.64 on points "if having a job, preferring installments in the task".Conclusion: There needs to be a re-review of the implementation of PBL method, especially on the weighting of self or group tasks so that students can make long-term planning that can review the learning process.
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Desrosiers, 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.

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Caporin, 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.

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The statistical analysis of financial time series is a rich and diversified research field whose inherent complexity requires an interdisciplinary approach, gathering together several disciplines, such as statistics, economics, and computational sciences. This special issue of the Journal of Risk and Financial Management on “Financial Time Series: Methods & Models” contributes to the evolution of research on the analysis of financial time series by presenting a diversified collection of scientific contributions exploring different lines of research within this field.
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Haffner, 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.

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Poncela, 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.

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Baker, 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.

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Decker, Stephanie. "Organizations in Time: History, Theory, Methods." Business History Review 90, no. 2 (2016): 333–37. http://dx.doi.org/10.1017/s0007680516000386.

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The title of this edited volume is slightly misleading, as its various contributions explore the potential for more historical analysis in organization studies rather than addressing issues associated with time and organizing. Hopefully this will not distract from the important achievement of this volume—important especially for business historians—in further expanding and integrating business history into management and organization studies. The various contributions, elegantly tied together by R. Daniel Wadhwani and Marcelo Bucheli in their substantial introduction (which, by the way, presents a significant contribution in its own right), opens up new sets of questions, especially in terms of future methodological and theoretical developments in the field. This book also reflects the changing institutional location of business historians, who increasingly make their careers in business schools rather than history departments, especially in Europe, reopening old questions of history as a social science. There have been several calls to teach more history in business education, such as the Carnegie Foundation report (2011) that found undergraduate business education too narrow in focus and highlighted the need to integrate more liberal arts teaching into the curriculum. However, in the contemporary research-driven environment of business and management schools, historical understanding is unlikely to permeate the curriculum if historical analysis cannot first deliver significant theoretical contributions. This is the central theme around which this edited volume revolves, and it marks a milestone in this ongoing debate. (In the spirit of full disclosure, I should add that even though I did not contribute to this volume, I have coauthored with several of its contributors and view this book as central to my current research practice.)
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Kouali, 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.

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Purpose – The purpose of this paper is to present the results of a piece of research concerning the time management of Cypriot primary school principals. Time management refers to the interrelation of five independent variables: the various tasks principals perform, their frequency, the degree of accomplishment of those tasks, the use of time management techniques and time management style (from monochronic to polychronic). Design/methodology/approach – Quantitative methods were used (questionnaire) together with qualitative methods (observation, interviews, collection of artifacts), in order to obtain richer, deeper data and view multiple angles of the same phenomenon. Findings – The results of cluster analysis indicated three different time management profiles/types of principals: The Centralized Monochrons, the Procrastinative Managers and the Decentralized Polychrons. One basic conclusion is that the principals who adopt the practices of the Decentralized Polychrons manage better their time. Practical implications – The three time management profiles of principals are described, analysed, and discussed in order to reach conclusions about the selection, training, and placement of school principals. Through the description of the everyday practice of Cypriot principals useful information concerning school leadership and management are also provided. Finally, the conclusions of this research may prove useful for principals, because they are provided with the opportunity to rethink and evaluate their own time management and effectiveness of their daily practices. Originality/value – The creation and description of the three time management profiles is the main contribution of this piece of research, since there are not any time management types-profiles registered in the bibliography, which were produced with the use of scientific instruments and procedures.
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Dissertations / Theses on the topic "Time management methods"

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Bahcivancilar, Ugur. "Validation Of Methods Time Measurement Data." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614916/index.pdf.

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This thesis shows the results of an experiment in order to test the validity of Methods Time Measurement (MTM) data. MTM, developed in 1948, is one of the most commonly used Predetermined Motion Time Systems to calculate standard time for a task. However, there is limited research on the validity of the MTM data in the literature. Today&rsquo
s 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.
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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.

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The goal of the thesis is to find out if manager in the area of building uses the methods of time management for the planning of work and tasks. At the beginning of theoretical part is the basic definition of the „time management“, assessment of the goals and the priorities, explanation of the methods used by time management and how to manage effectively. This part of the thesis deals with the downside as well – procrastination. Shows this downside as inability to manage the time management. The methods of time management are described and history of this methods as well. The second – practical part of the thesis – contains proposed hypotheses what investigate how the time management is in reality used by building managers, how helps the electronics and if managers prefer the working time. The author tries this hypotheses to confirm or to refute using the survey and structured interviews in selected building companies. The results of the thesis are suitable recommendations for more effective planning of the time and avoidance the mistakes in this area.
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Aleksic, Mario. "Incremental computation methods in valid and transaction time databases." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8126.

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Rigaut, Tristan. "Time decomposition methods for optimal management of energy storage under stochasticity." Thesis, Paris Est, 2019. http://www.theses.fr/2019PESC2015/document.

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L'évolution du stockage d'énergie permet de développer des méthodes innovantes de gestion de l'énergie à une échelle locale. Les micro réseaux électriques sont une forme émergente de petits réseaux électriques munis de production locale, de stockage d'énergie et en particulier d'un système de gestion de l'énergie (EMS pour Energy Management System). De nombreuses études et recherches scientifiques ont été menées pour proposer diverses stratégies d'implémentation de ces EMS. Néanmoins il n'existe pas à ce jour d'articulation claire et formelle de ces méthodes permettant leur comparaison. L'une des principales difficultés pour les EMS, est la gestion des dynamiques des différents systèmes énergétiques. Les variations de courant vont à la vitesse de l'électron, la production d'énergie solaire photovoltaïque varie au gré des nuages et différentes technologies de stockages peuvent réagir plus ou moins vites à ces phénomènes imprévisibles. Nous étudions dans ce manuscrit, un formalisme mathématique et des algorithmes basés sur la théorie de l'optimisation stochastique multi-étapes et la Programmation Dynamique. Ce formalisme permet de modéliser et de résoudre des problèmes de décisions inter-temporelles en présence d'incertitudes, à l'aide de méthodes de décomposition temporelle que nous appliquons à des problèmes de gestion de l'énergie. Dans la première partie de cette thèse, "Contributions à la décomposition temporelle en optimisation stochastique multi-étapes", nous présentons le formalisme général que nous utilisons pour décomposer en temps les problèmes d'optimisation stochastique avec un grand nombre de pas de temps. Nous classifions ensuite différentes méthodes de contrôle optimal au sein de ce formalisme. Dans la seconde partie, "Optimisation stochastique de stockage d'énergie pour la gestion des micro réseaux", nous comparons différentes méthodes, introduites dans la première partie, sur des cas réels. Dans un premier temps, nous contrôlons une batterie ainsi que des ventilations dans une station de métro récupérant de l'énergie de freinage des trains, en comparant quatre algorithmes différents. Dans un second temps, nous montrons comment ces algorithmes pourraient être implémentés sur un système réel à l'aide d'une architecture de contrôle hiérarchique de micro réseaux électrique en courant continu. Le micro réseaux étudié connecte cette fois ci de l'énergie photovoltaïque à une batterie, une super-capacité et à une charge électrique. Enfin nous appliquons le formalisme de décomposition par blocs temporels présenté dans la première partie pour traiter un problème de gestion de charge de batterie mais aussi de son vieillissement long terme. Ce dernier chapitre introduit 2 algorithmes basés sur la décomposition par blocs temporels qui pourraient être utilisés pour le contrôle hiérarchique de micro réseaux ou les problèmes d'optimisation stochastique présentant un grand nombre de pas de temps. Dans la troisième et dernière partie, "Logiciels et expériences", nous présentons DynOpt.jl un paquet développé en langage Julia qui a permis de développer toutes les applications de cette thèse et bien d'autres. Nous étudions enfin l'utilisation de ce paquet dans un cas de pilotage réel de système énergétique : la gestion intelligente de la température dans une maison de l'équipement Sense City
The 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"
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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.

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Jurthe, 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.

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The overall aim of this master project was to create an audio record consisting of seven tracks that are both cohesive and very individual at the same time. The pieces are thought to showcase the diversity of my creative identity as a composer and music producer and will represent my individual way of composing and producing music freed from all external influences in the best way possible. This written part of the thesis is a documentation and critical reflection as well as investigation of the creation process: from sorting out the original material, writing, producing and arranging over to mixing and mastering. The observations I make are the essential part of investigating my own creative identity as a music producer and composer. In addition to the audio record and its critical reflection, this thesis will also state remarks on three time management methods I apply onto my creation process in order to observe their effects on my working routine.
Det 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.
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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.

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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, System Design and Management Program, 2009.
Cataloged 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
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Pelican, Ullice John. "Strategies of Successful Government IT Projects Based on Cost and Time." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5400.

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From 2001 through 2015, some information technology (IT) project managers failed to deliver U.S. Government IT projects on time and within budget. The failure of IT project managers to complete projects on time and within budget provoked the U.S. Government Accountability Office to classify IT projects as high risk. This multiple case study explored strategies government contracted IT project managers use to reduce cost overruns and improve on-time delivery. The participants in this study were government contracted IT project managers from organizations that provide IT project management in the Maryland area. Employing purposeful sampling of the explicit population, 5 selected participants from 5 firms provided data. The conceptual framework for this study was the actor-network theory. Data were collected and triangulated from 5 semistructured interviews and business documentation. Yin's 5-step data analysis process resulted in the emergence of multiple themes. The emergent themes included clearly defined requirements, monitor and control, and demonstrated leadership. As more government organizations realize the benefits of IT project success strategies, funding may become available for leaders to advance additional positive social change projects in various communities. IT project managers may implement the practical strategies found within this study to improve the outcome of their government contracted IT projects.
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Churchill, 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.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
Thesis: 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.
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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.

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Books on the topic "Time management methods"

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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.

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Time management from the inside out: The foolproof system for taking control of your schedule--and your life. New York: Henry Holt, 2000.

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Mackenzie, R. Alec. New time management methods for you and your staff. Chicago: Dartnell Corp., 1990.

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Mackenzie, R. Alec. Teamwork through time management: New time management methods for everyone in your organization / R. Alec MacKenzie. Chicago: Dartnell, 1990.

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Manage your time. London: HarperCollins, 1994.

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Motion and time study: Improving work methods and management. Englewood Cliffs, N.J: Prentice Hall, 1992.

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Fooks, Jack H. Profiles for performance: Total quality methods for reducing cycle time. Reading, Mass: Addison-Wesley, 1993.

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Tōkeikyoku, 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.

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Taipalus, Katja. Detecting asset price bubbles with time-series methods. Helsinki: Finlands Bank, 2012.

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Quantitative methods for portfolio analysis: MTV model approach. Dordrecht: Kluwer Academic Publishers, 1993.

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Book chapters on the topic "Time management methods"

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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.

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Oakshott, 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.

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Voehl, 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.

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Choraś, 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.

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Miłaszewicz, 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.

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Paliderova, 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.

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Bentz, 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.

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Bouma, 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.

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Trojanowski, 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.

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Timmerman, 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.

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Conference papers on the topic "Time management methods"

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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.

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"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.

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Latifah, 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.

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Esteves, 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.

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Data duplication is a common problem on data streams processing applications that occurs due to software error or adoption of data loss prevention measures, jeopardizing real-time data analyses. This paper explores stream-based deduplication methods to identify challenges from these methods and proposes a decision method to choose the most appropriate strategy for a domain. This work investigates native solutions and auxiliary tools to provide data deduplication and fault tolerance. The experimental results show that it is necessary to use fast additional storage to persist the read keys, as long as they can appear, or to use the optimized storage, with a quick key search.
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Saarelainen, 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.

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Colson, 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.

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Brandolese, 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.

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Lesniewski, 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.

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Raineri, 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.

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Molnos, 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.

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Reports on the topic "Time management methods"

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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.

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Powell, 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.

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Miller, 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.

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Intro: Undifferentiated dyspnea can be a complicated presentation muddled by patient comorbidities and similar symptomology shared among etiologies. Some studies have shown increased mortality and length of stay in the hospital when incorrectly initially diagnosed in the ED. US has been shown more effective at differentiating these causes and improves diagnostic accuracy. This study will implement US exam upon initial exam of patient and chart time to diagnosis/treatment, length of stay in ED, length of stay in hospital admissions versus discharge rates, and 30 day mortality. ADHF and COPD/asthma patient differentiation will be the focus. Methods: Prospective cohort study of more than 18 years that present with the primary complaint of dyspnea with more than one complicating comorbid condition. Initial exam by physician will be accompanied by cardiothoracic US previously verified. Results: Study powered by previous year average of time to diagnosis of institution. Patient characteristics, distribution by diagnostic category, and characteristics found on US in correlation with diagnosis will be included for multivariate analysis. Conclusions: We expect to see a singificant difference in our time to diagnosis/treatment and mortality rate.
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Tarko, 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.

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Many small cities and towns in rural states such as Indiana are crossed by arterial highways. The local traffic on these roads, particularly vulnerable road users, face the excessive risk of injury and death. This danger is amplified with local land development, driveways, and on-street parking in town centers. This report presents an Indiana study of the speeding problem on arterial roads passing through small communities. Past research on various countermeasures suitable for the studied conditions were identified and the connection between speed reduction and safety improvements was investigated in a sample of Indiana small towns. Promising speed-reduction measures include speed feedback signs and converging chevrons with speed limit legends marked on the pavement. Point-to-point enforcement is a modern and highly effective alternative that may be applicable on highways passing small towns if the through traffic prevails with limited interruptions. This report provides a method of evaluating the benefits of speed reduction in the studied conditions where the risk of severe injury and fatality is excessive to road users while the frequency of crashes is low. The method includes the proactive estimation of the economic benefit. The results indicate that both the local and through traffic on highways passing a small town benefit considerably from speed reduction even after accounting for the loss of time. An Excel spreadsheet developed in the study facilitates the calculations.
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Yan, 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.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
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Veland, 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.

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This working paper presents first insights on lay public perceptions of marine carbon dioxide removal (CDR) approaches. In seven focus groups, three in Germany and four in Norway (including one pilot) the researchers asked members of the lay public to share their views of the ocean and the effects of climate change, four CDR approaches, as well as their reflections on responsible research and innovation (RRI) of marine CDR. The four CDR methods were ocean iron fertilization, ocean alkalinity enhancement, artificial upwelling, and blue carbon management through restoration of coastal and marine ecosystems. In addition, respondents were asked to compare the four approaches. Our findings indicate that the public will be very supportive of blue carbon management irrespective of its actual carbon sequestration potential, due in part to the perceived bad state of marine ecosystems worldwide. Participants were skeptical whether any of the CDR approaches could have relevant effect on carbon sequestration and long-term storage; they reasoned about issues such as the ability to scale up treatments in time and space, unforeseen or unforeseeable effects on ecosystems in time and space, and the role of industry in the implementation process. They argued that despite the potential availability of marine CDR, industry and the general public should stop polluting behaviors and practices. Nevertheless, the participants universally agreed that further research on all four CDR methods should be pursued to better understand effects on climate, ecosystems, local communities, and the economy.
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Lempert, 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.

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The effects of climate-related natural hazards pose a significant threat to sustainable development in Latin America and the Caribbean (LAC) region and in particular its transportation sector. Risk Management provides an appropriate framework for assessing and mitigating the impacts of climate change and other climate-related natural hazards on transportation systems and choosing actions to enhance their resilience. However, analysts and policymakers involved in transportation planning, policy, and investment face significant challenges in managing the risks triggered by the effects of climate change. Climate change impacts the lifespan of roads, airports, and railroads as they have time horizons that surpass 40 years, thus making it harder (if not impossible) to forecast with confidence all relevant future events that will affect such infrastructure. In addition, the climate has already changed, so the return frequency of storms, for example, and other extreme events may now be different than suggested by the historical record in ways that are not always currently well understood. Implementing Risk Management under conditions of such uncertainty can prove difficult. Decision Making Under Deep Uncertainty (DMDU) enables Risk Management under conditions of Deep Uncertainty, that is when risks cannot confidently be quantified. This guidebook is aligned with the Disaster and Climate Change Risk Assessment Methodology for IDB projects (IDB 2018) and introduces and provides guidance on applying methods for Decision Making Under Deep Uncertainty (DMDU) to transportation planning. It presents the methodological steps that are necessary for the implementation of DMDU methodologies and reviews several such methods, including scenario planning, Adaptive Pathways, and robust decision making (RDM). This review is geared towards supporting the incorporation of DMDU methods into IDBs transportation sector funding and planning processes.
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Tarko, 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.

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The current safety management program in Indiana uses a method based on aggregate crash data for conditions averaged over several-year periods with consideration of only major roadway features. This approach does not analyze the risk of crashes potentially affected by time-dependent conditions such as traffic control, operations, weather and their interaction with road geometry. With the rapid development of data collection techniques, time-dependent data have emerged, some of which have become available for safety management. This project investigated the feasibility of using emerging and existing data sources to supplement the current safety management practices in Indiana and performed a comprehensive evaluation of the quality of the new data sources and their relevance to traffic safety analysis. In two case studies, time-dependent data were acquired and integrated to estimate their effects on the hourly probability of crash and its severity on two selected types of roads: (1) rural freeways and (2) signalized intersections. The results indicate a considerable connection between hourly traffic volume, average speeds, and weather conditions on the hourly probability of crash and its severity. Although some roadway geometric features were found to affect safety, the lack of turning volume data at intersections led to some counterintuitive results. Improvements have been identified to be implemented in the next phase of the project to eliminate these undesirable results.
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Rojas 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.

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Childhood asthma is a significant public health problem in the United States. Barriers to effective asthma management in children include the need for caregivers to identify and manage diverse environmental triggers and promote appropriate use of preventive asthma medications. Although health care providers may introduce asthma treatments and care plans, many providers lack the time and capacity to educate caregivers about asthma in an ongoing, sustained manner. To help address these complexities of asthma care, many providers and caregivers rely on patient navigators (defined as persons who provide patients with a particular set of services and who address barriers to care) (Dohan & Schrag, 2005). Despite growing interest in their value for chronic disease management, researchers and providers know little about how or what benefits patient navigators can provide to caregivers in managing asthma in children. To explore this issue, we conducted a mixed-method evaluation involving focus groups and a survey with caregivers of children with moderate-to-severe asthma who were enrolled in the Merck Childhood Asthma Network Initiative (MCAN). Findings suggest that patient navigators may support children’s asthma management by providing individualized treatment plans and hands-on practice, improving caregivers’ understanding of environmental triggers and their mitigation, and giving clear, accessible instructions for proper medication management. Study results may help to clarify and further develop the role of patient navigators for the effective management of asthma in children.
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McDonagh, 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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Objectives. To assess the comparative effectiveness and potential harms of cervical ripening in the outpatient setting (vs. inpatient, vs. other outpatient intervention) and of fetal surveillance when a prostaglandin is used for cervical ripening. Data sources. Electronic databases (Ovid® MEDLINE®, Embase®, CINAHL®, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews) to July 2020; reference lists; and a Federal Register notice. Review methods. Using predefined criteria and dual review, we selected randomized controlled trials (RCTs) and cohort studies of cervical ripening comparing prostaglandins and mechanical methods in outpatient versus inpatient settings; one outpatient method versus another (including placebo or expectant management); and different methods/protocols for fetal surveillance in cervical ripening using prostaglandins. When data from similar study designs, populations, and outcomes were available, random effects using profile likelihood meta-analyses were conducted. Inconsistency (using I2) and small sample size bias (publication bias, if ≥10 studies) were assessed. Strength of evidence (SOE) was assessed. All review methods followed Agency for Healthcare Research and Quality Evidence-based Practice Center methods guidance. Results. We included 30 RCTs and 10 cohort studies (73% fair quality) involving 9,618 women. The evidence is most applicable to women aged 25 to 30 years with singleton, vertex presentation and low-risk pregnancies. No studies on fetal surveillance were found. The frequency of cesarean delivery (2 RCTs, 4 cohort studies) or suspected neonatal sepsis (2 RCTs) was not significantly different using outpatient versus inpatient dinoprostone for cervical ripening (SOE: low). In comparisons of outpatient versus inpatient single-balloon catheters (3 RCTs, 2 cohort studies), differences between groups on cesarean delivery, birth trauma (e.g., cephalohematoma), and uterine infection were small and not statistically significant (SOE: low), and while shoulder dystocia occurred less frequently in the outpatient group (1 RCT; 3% vs. 11%), the difference was not statistically significant (SOE: low). In comparing outpatient catheters and inpatient dinoprostone (1 double-balloon and 1 single-balloon RCT), the difference between groups for both cesarean delivery and postpartum hemorrhage was small and not statistically significant (SOE: low). Evidence on other outcomes in these comparisons and for misoprostol, double-balloon catheters, and hygroscopic dilators was insufficient to draw conclusions. In head to head comparisons in the outpatient setting, the frequency of cesarean delivery was not significantly different between 2.5 mg and 5 mg dinoprostone gel, or latex and silicone single-balloon catheters (1 RCT each, SOE: low). Differences between prostaglandins and placebo for cervical ripening were small and not significantly different for cesarean delivery (12 RCTs), shoulder dystocia (3 RCTs), or uterine infection (7 RCTs) (SOE: low). These findings did not change according to the specific prostaglandin, route of administration, study quality, or gestational age. Small, nonsignificant differences in the frequency of cesarean delivery (6 RCTs) and uterine infection (3 RCTs) were also found between dinoprostone and either membrane sweeping or expectant management (SOE: low). These findings did not change according to the specific prostaglandin or study quality. Evidence on other comparisons (e.g., single-balloon catheter vs. dinoprostone) or other outcomes was insufficient. For all comparisons, there was insufficient evidence on other important outcomes such as perinatal mortality and time from admission to vaginal birth. Limitations of the evidence include the quantity, quality, and sample sizes of trials for specific interventions, particularly rare harm outcomes. Conclusions. In women with low-risk pregnancies, the risk of cesarean delivery and fetal, neonatal, or maternal harms using either dinoprostone or single-balloon catheters was not significantly different for cervical ripening in the outpatient versus inpatient setting, and similar when compared with placebo, expectant management, or membrane sweeping in the outpatient setting. This evidence is low strength, and future studies are needed to confirm these findings.
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