Littérature scientifique sur le sujet « Forecasting – Research »
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Articles de revues sur le sujet "Forecasting – Research"
Zheng, Xiao Xia, et Fu Yang. « Research of Wind Speed and Wind Power Forecasting ». Advanced Materials Research 347-353 (octobre 2011) : 611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.611.
Texte intégralDiamantopoulos, A. « Research on Forecasting ». International Journal of Forecasting 18, no 3 (juillet 2002) : 479–80. http://dx.doi.org/10.1016/s0169-2070(02)00003-1.
Texte intégralAdya, Monica. « Research on Forecasting ». International Journal of Forecasting 18, no 3 (juillet 2002) : 481–82. http://dx.doi.org/10.1016/s0169-2070(02)00005-5.
Texte intégralChatfield, Chris. « Research on Forecasting ». International Journal of Forecasting 15, no 2 (avril 1999) : 225–26. http://dx.doi.org/10.1016/s0169-2070(98)00078-8.
Texte intégralSanders, Nada R. « Research on Forecasting ». International Journal of Forecasting 15, no 3 (juillet 1999) : 345–46. http://dx.doi.org/10.1016/s0169-2070(99)00010-2.
Texte intégralFildes, Robert. « Research on forecasting ». International Journal of Forecasting 5, no 1 (janvier 1989) : 151–53. http://dx.doi.org/10.1016/0169-2070(89)90081-2.
Texte intégralVasilevskaya, L. N., et E. Yu Potalova. « Hydrometeorological research and forecasting ». Hydrometeorological research and forecasting, no 1 (20 mars 2020) : 6–20. http://dx.doi.org/10.37162/2618-9631-2020-1-6-20.
Texte intégralScott Armstrong, J. « Research needs in forecasting ». International Journal of Forecasting 4, no 3 (janvier 1988) : 449–65. http://dx.doi.org/10.1016/0169-2070(88)90111-2.
Texte intégralEvanschitzky, Heiner, et J. Scott Armstrong. « Replications of forecasting research ». International Journal of Forecasting 26, no 1 (janvier 2010) : 4–8. http://dx.doi.org/10.1016/j.ijforecast.2009.09.003.
Texte intégralBoylan, John E., Paul Goodwin, Maryam Mohammadipour et Aris A. Syntetos. « Reproducibility in forecasting research ». International Journal of Forecasting 31, no 1 (janvier 2015) : 79–90. http://dx.doi.org/10.1016/j.ijforecast.2014.05.008.
Texte intégralThèses sur le sujet "Forecasting – Research"
Bruno, Jack H. « Evaluating the Weather Research and Forecasting Model Fidelity for Forecasting Lake Breezes ». Ohio University Honors Tutorial College / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1556189524538244.
Texte intégralNissan, Hannah. « Modelling rainfall erosivity using the Weather Research and Forecasting model ». Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24681.
Texte intégralMcCarty, Laura Smith. « Evaluation and recommendation of storage space forecasting model(s) ». Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/24250.
Texte intégralMehalic, Charles J. « Multiparameter forecasting techniques for the Marine Corps officer rate generator ». Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA241453.
Texte intégralThesis Advisor(s): Read, Robert R. Second Reader: Whitaker, Lyn R. "September 1990." Description based on title screen as viewed on March 19, 2010. DTIC Identifier(s): Forecast, Seasonality, Attrition Estimation, Harrison, Winters, Bayesian, Expotential Smoothing, Shrinkage, Aggregation. Author(s) subject terms: Forecast, Attrition Estimation, Harrison, Winters, Bayesian, Seasonality, Expotential smoothing, Shrinkage, Aggregation. Includes bibliographical references (p. 100-101). Also available in print.
Hong, Tao. « Long-Term Spatial Load Forecasting Using Human-Machine Co-construct Intelligence Framework ». NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-10212008-105450/.
Texte intégralInman, Oliver Lane. « Technology Forecasting Using Data Envelopment Analysis ». PDXScholar, 2004. https://pdxscholar.library.pdx.edu/open_access_etds/2682.
Texte intégralFreixieiro, Gomes de Mello Rafael. « Design-led future forecasting model for mobile communications ». Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13142.
Texte intégralCalmon, André du Pin. « Reverse logistics for consumer electronics : forecasting failures, managing inventory, and matching warranties ». Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98720.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references (pages 147-150).
The goal of this thesis is to describe, model, and optimize reverse logistics systems commonly used in the Consumer Electronics industry. The context and motivation for this work stem from a collaboration with an industrial partner, a Fortune 500 company that sells consumer electronics and is one of the top retailers in its sector. The thesis is divided into three parts. In the first part of the thesis we model and analyze the problem of forecasting failures of new products. When a new device is introduced to the market there is limited information available about its failure time distribution since most devices have yet to fail. However, there is extensive failure time data for prior devices, as well as evidence that the failure time distribution for new devices can be forecast from the data for prior devices. In this setting, we propose two strategies for forecasting the failure distribution of new products that leverages the censored failure observations for the new devices as well as this massive amount of data collected for prior devices. We validate these strategies using data from our industrial partner and using data from a social enterprise located in the Boston area. The second part of the thesis concerns inventory management in a reverse logistics system that supports the warranty returns and replacement for a consumer electronic device. This system is a closed-loop supply chain since failed devices are refurbished and are kept in inventory to be used as replacement devices or are sold through a side-sales channel. Furthermore, managing inventory in this system is challenging due to the short life-cycle of this type of device and the rapidly declining value for the inventory that could potentially be sold. We propose a stochastic model that captures the dynamics of inventory of this system, including the limited life-cycle and the declining value of inventory that can be sold off. We characterize the structure of the optimal policy for this problem. In addition, we introduce two heuristics: (i) a certainty-equivalent approximation, which leads to a simple closed form policy; and (ii) a dual balancing heuristic, which results in a more tractable newsvendor type model. We also develop a robust version of this model in order to obtain bounds for the overall performance of the system. The performance of these heuristics is analyzed using data from our industrial partner. The final part of the thesis concerns the problem faced by a consumer electronics retailer when matching devices in inventory to customers. More specifically, we analyze a setting where there are two warranties in place: (i) the consumer warranty, offered by the retailer to the consumer, and (ii) the Original Equipment Manufacturer (OEM) warranty, offered by the OEM to the retailer. Both warranties are valid for a limited period (usually 12 months), and once warranties expire, the coverage to replace or repair a faulty device ends. Thus, a customer does not receive a replacement if he/she is out of consumer warranty, and the retailer cannot send the device to the OEM for repairs if it is out of OEM warranty. The retailer would ideally like to have the two warranties for a device being matched, i.e., the customer would have the same time left in his consumer warranty as the device would have left in the OEM warranty. A mismatch between these warranties can incur costs to the retailer beyond the usual processing costs of warranty requests. Namely, since a device can fail multiple times during its lifecycle the replacement device sent to customers that file warranty requests can lead to out-of-OEM-warranty returns. In order to mitigate the number of out-of-OEM-warranty returns, we propose an online algorithm to match customers that have filed warranty claims to refurbished devices in inventory. The algorithm matches the oldest devices in inventory to the oldest customers in each period. We characterize the competitive ratio of this algorithm and, through numerical experiments using historical data, demonstrate that it can significantly reduce out of warranty returns compared to our partner's current strategy.
by Andre du Pin Calmon.
Ph. D.
Chan, San-wing Frederick. « Developing inquiry based learning in secondary geography education topic weather forecast : an action research / ». Click to view the E-thesis via HKUTO, 2003. http://sunzi.lib.hku.hk/hkuto/record/B3984870X.
Texte intégralConatser, Dean G. « Forecasting U.S. Marine Corps reenlistments by military occupational specialty and grade ». Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FConatser.pdf.
Texte intégralThesis Advisor(s): Ronald D. Fricker. "September 2006." Includes bibliographical references (p. 49-50). Also available in print.
Livres sur le sujet "Forecasting – Research"
Chow, Fotini K., Stephan F. J. De Wekker et Bradley J. Snyder, dir. Mountain Weather Research and Forecasting. Dordrecht : Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-4098-3.
Texte intégralErhardt, Gregory D., Jawad Hoque, Mei Chen, Reginald Souleyrette, David Schmitt, Ankita Chaudhary, Sujith Rapolu et al. Traffic Forecasting Accuracy Assessment Research. Washington, D.C. : Transportation Research Board, 2020. http://dx.doi.org/10.17226/25637.
Texte intégralClifton, Peter. Market research : Using forecasting in business. Oxford : Butterworth-Heinemann, 1992.
Trouver le texte intégralClifton, Peter. Market research : Using forecasting in business. London : Butterworth Heineman, 1992.
Trouver le texte intégralNeves, Diogo F. Droughts : New research. Hauppauge, N.Y : Nova Science Publisher's, 2011.
Trouver le texte intégralMentzer, John T. Sales forecasting management. Thousand Oaks, CA : Sage Publications, 1998.
Trouver le texte intégralGiaiotti, Dario B., Reinhold Steinacker et Fulvio Stel, dir. Atmospheric Convection : Research and Operational Forecasting Aspects. Vienna : Springer Vienna, 2007. http://dx.doi.org/10.1007/978-3-211-69291-2.
Texte intégralB, Giaiotti Dario, Steinacker R et Stel Fulvio, dir. Atmospheric convection : Research and operational forecasting aspects. Wien : Springer, CISM, 2007.
Trouver le texte intégralC, Bienstock Carol, dir. Sales forecasting management : Understanding the techniques, systems, and management of the sales forecasting process. Thousand Oaks : Sage Publications, 1998.
Trouver le texte intégralBolt, Gordon J. Market and sales forecasting. New York : Watts, 1988.
Trouver le texte intégralChapitres de livres sur le sujet "Forecasting – Research"
Isaac, David. « Forecasting and Research ». Dans Property Investment, 292–302. London : Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14468-6_14.
Texte intégralGraefe, Andreas, Kesten C. Green et J. Scott Armstrong. « Forecasting ». Dans Encyclopedia of Operations Research and Management Science, 593–604. Boston, MA : Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_357.
Texte intégralZheng, Yafei, Kin Keung Lai et Shouyang Wang. « Existing research ». Dans Forecasting Air Travel Demand, 10–33. Abingdon, Oxon ; New York, NY : Routledge, 2018. | Series : Routledge advances in risk management ; 11 : Routledge, 2018. http://dx.doi.org/10.4324/9781351215503-2.
Texte intégralBurley, T. A., et G. O’Sullivan. « Forecasting Methods ». Dans Work Out Operational Research, 189–212. London : Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-08157-8_13.
Texte intégralZheng, Xiaolian, et Ben M. Chen. « Future Research ». Dans Stock Market Modeling and Forecasting, 149–50. London : Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5155-5_8.
Texte intégralZheng, Yafei, Kin Keung Lai et Shouyang Wang. « Conclusions and future research ». Dans Forecasting Air Travel Demand, 143–45. Abingdon, Oxon ; New York, NY : Routledge, 2018. | Series : Routledge advances in risk management ; 11 : Routledge, 2018. http://dx.doi.org/10.4324/9781351215503-9.
Texte intégralAllen, P. Geoffrey, et Robert Fildes. « Econometric Forecasting ». Dans International Series in Operations Research & ; Management Science, 303–62. Boston, MA : Springer US, 2001. http://dx.doi.org/10.1007/978-0-306-47630-3_15.
Texte intégralAhlburg, Dennis A. « Population Forecasting ». Dans International Series in Operations Research & ; Management Science, 557–75. Boston, MA : Springer US, 2001. http://dx.doi.org/10.1007/978-0-306-47630-3_25.
Texte intégralNikolopoulos, Konstantinos I., et Dimitrios D. Thomakos. « Forecasting Analytics ». Dans International Series in Operations Research & ; Management Science, 381–420. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-68837-4_12.
Texte intégralLütkepohl, Helmut. « Forecasting Unpredictable Variables ». Dans Empirical Economic and Financial Research, 287–304. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03122-4_18.
Texte intégralActes de conférences sur le sujet "Forecasting – Research"
Pace, Clark B. « Labor Availability and Productivity Forecasting ». Dans Construction Research Congress 2003. Reston, VA : American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40671(2003)111.
Texte intégralZhendong Chen et Chaozhen Guo. « Research of forecasting typhoon GDSS ». Dans 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658851.
Texte intégralBi Ruixiang. « Fiscal revenue forecasting system research ». Dans 2010 International Conference on Future Information Technology and Management Engineering (FITME). IEEE, 2010. http://dx.doi.org/10.1109/fitme.2010.5654754.
Texte intégralWijnhoven, Fons, Nathan De Bruijn et Robin Effing. « Google trends forecasting of youth employment ». Dans CARMA 2024 - 6th International Conference on Advanced Research Methods and Analytics. Valencia : Universitat Politècnica de València, 2024. http://dx.doi.org/10.4995/carma2024.2024.17158.
Texte intégralWong, James M. W., S. Thomas Ng, Albert P. C. Chan et Y. H. Chiang. « Forecasting Construction Manpower Demand : An Econometric Model ». Dans Construction Research Congress 2009. Reston, VA : American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41020(339)97.
Texte intégralLiu, Shuliang, Zhiqiang Hu et Xiukai Chi. « The Research of Power Load Forecasting Method on Combination Forecasting Model ». Dans 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.1273.
Texte intégralFeroz, Raja M. Asim, et Adeel Javed. « Forecasting of Wind Resources Using the Weather Research and Forecasting Software ». Dans 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST). IEEE, 2021. http://dx.doi.org/10.1109/ibcast51254.2021.9393212.
Texte intégralFang, Kui, Qingshan Ren, Xiangmei Feng et Xinghui Zhu. « Research on Rice Yield Forecasting Model ». Dans 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017). Paris, France : Atlantis Press, 2017. http://dx.doi.org/10.2991/amms-17.2017.26.
Texte intégralQin, Wan, Wei Yong et Yang Xiongqiong. « Research on grey wave forecasting model ». Dans 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/gsis.2009.5408288.
Texte intégralZhan, Zhigang. « Research on Power Demand Forecasting Methods ». Dans 2nd International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2018). Paris, France : Atlantis Press, 2018. http://dx.doi.org/10.2991/mseee-18.2018.44.
Texte intégralRapports d'organisations sur le sujet "Forecasting – Research"
Glascoe, L. Wind Energy Forecasting with the Weather Research and Forecasting Model, CRADA No. TC02123.0. Office of Scientific and Technical Information (OSTI), mars 2011. http://dx.doi.org/10.2172/1038916.
Texte intégralGlascoe, L., et L. Kirkpatrick. Wind Energy Forecasting with the Weather Research and Forecasting Model, CRADA No. TC02123.0. Office of Scientific and Technical Information (OSTI), mars 2021. http://dx.doi.org/10.2172/1773576.
Texte intégralSauter, Barbara. Weather Research and Forecasting (WRF) Results Over New Mexico. Fort Belvoir, VA : Defense Technical Information Center, janvier 2006. http://dx.doi.org/10.21236/ada443014.
Texte intégralDugan, John. Assessment of European Research Programs Supporting Coastal Ocean Forecasting Systems. Fort Belvoir, VA : Defense Technical Information Center, avril 1997. http://dx.doi.org/10.21236/ada325813.
Texte intégralPoppeliers, Christian, Katherine Aur et Leiph Preston. Predicting Atmospheric Green's Functions using the Weather Research and Forecasting Model. Office of Scientific and Technical Information (OSTI), décembre 2018. http://dx.doi.org/10.2172/1761090.
Texte intégralReen, Brian P. Improving Weather Research and Forecasting Model Initial Conditions via Surface Pressure Analysis. Fort Belvoir, VA : Defense Technical Information Center, septembre 2015. http://dx.doi.org/10.21236/ada621305.
Texte intégralIacono, Michael J. Enhancing Cloud Radiative Processes and Radiation Efficiency in the Advanced Research Weather Research and Forecasting (WRF) Model. Office of Scientific and Technical Information (OSTI), mars 2015. http://dx.doi.org/10.2172/1172166.
Texte intégralLundquist, Katherine Ann. Implementation of the Immersed Boundary Method in the Weather Research and Forecasting model. Office of Scientific and Technical Information (OSTI), janvier 2006. http://dx.doi.org/10.2172/900883.
Texte intégralAlice Wu, Alice Wu. FROcasting : A pilot of forecasting in the scientific review of focused research organizations. Experiment, mai 2023. http://dx.doi.org/10.18258/51686.
Texte intégralPassner, Jeffrey E. Using the Advanced Research Version of the Weather Research and Forecasting Model (WRF-ARW) to Forecast Turbulence at Small Scales. Fort Belvoir, VA : Defense Technical Information Center, septembre 2008. http://dx.doi.org/10.21236/ada487156.
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