Literatura académica sobre el tema "Forecasting – Research"
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Artículos de revistas sobre el tema "Forecasting – Research"
Zheng, Xiao Xia y Fu Yang. "Research of Wind Speed and Wind Power Forecasting". Advanced Materials Research 347-353 (octubre de 2011): 611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.611.
Texto completoDiamantopoulos, A. "Research on Forecasting". International Journal of Forecasting 18, n.º 3 (julio de 2002): 479–80. http://dx.doi.org/10.1016/s0169-2070(02)00003-1.
Texto completoAdya, Monica. "Research on Forecasting". International Journal of Forecasting 18, n.º 3 (julio de 2002): 481–82. http://dx.doi.org/10.1016/s0169-2070(02)00005-5.
Texto completoChatfield, Chris. "Research on Forecasting". International Journal of Forecasting 15, n.º 2 (abril de 1999): 225–26. http://dx.doi.org/10.1016/s0169-2070(98)00078-8.
Texto completoSanders, Nada R. "Research on Forecasting". International Journal of Forecasting 15, n.º 3 (julio de 1999): 345–46. http://dx.doi.org/10.1016/s0169-2070(99)00010-2.
Texto completoFildes, Robert. "Research on forecasting". International Journal of Forecasting 5, n.º 1 (enero de 1989): 151–53. http://dx.doi.org/10.1016/0169-2070(89)90081-2.
Texto completoVasilevskaya, L. N. y E. Yu Potalova. "Hydrometeorological research and forecasting". Hydrometeorological research and forecasting, n.º 1 (20 de marzo de 2020): 6–20. http://dx.doi.org/10.37162/2618-9631-2020-1-6-20.
Texto completoScott Armstrong, J. "Research needs in forecasting". International Journal of Forecasting 4, n.º 3 (enero de 1988): 449–65. http://dx.doi.org/10.1016/0169-2070(88)90111-2.
Texto completoEvanschitzky, Heiner y J. Scott Armstrong. "Replications of forecasting research". International Journal of Forecasting 26, n.º 1 (enero de 2010): 4–8. http://dx.doi.org/10.1016/j.ijforecast.2009.09.003.
Texto completoBoylan, John E., Paul Goodwin, Maryam Mohammadipour y Aris A. Syntetos. "Reproducibility in forecasting research". International Journal of Forecasting 31, n.º 1 (enero de 2015): 79–90. http://dx.doi.org/10.1016/j.ijforecast.2014.05.008.
Texto completoTesis sobre el tema "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.
Texto completoNissan, Hannah. "Modelling rainfall erosivity using the Weather Research and Forecasting model". Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24681.
Texto completoMcCarty, Laura Smith. "Evaluation and recommendation of storage space forecasting model(s)". Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/24250.
Texto completoMehalic, 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.
Texto completoThesis 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/.
Texto completoInman, Oliver Lane. "Technology Forecasting Using Data Envelopment Analysis". PDXScholar, 2004. https://pdxscholar.library.pdx.edu/open_access_etds/2682.
Texto completoFreixieiro, Gomes de Mello Rafael. "Design-led future forecasting model for mobile communications". Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13142.
Texto completoCalmon, 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.
Texto completoCataloged 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.
Texto completoConatser, 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.
Texto completoThesis Advisor(s): Ronald D. Fricker. "September 2006." Includes bibliographical references (p. 49-50). Also available in print.
Libros sobre el tema "Forecasting – Research"
Chow, Fotini K., Stephan F. J. De Wekker y Bradley J. Snyder, eds. Mountain Weather Research and Forecasting. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-4098-3.
Texto completoErhardt, 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.
Texto completoClifton, Peter. Market research: Using forecasting in business. Oxford: Butterworth-Heinemann, 1992.
Buscar texto completoClifton, Peter. Market research: Using forecasting in business. London: Butterworth Heineman, 1992.
Buscar texto completoNeves, Diogo F. Droughts: New research. Hauppauge, N.Y: Nova Science Publisher's, 2011.
Buscar texto completoMentzer, John T. Sales forecasting management. Thousand Oaks, CA: Sage Publications, 1998.
Buscar texto completoGiaiotti, Dario B., Reinhold Steinacker y Fulvio Stel, eds. Atmospheric Convection: Research and Operational Forecasting Aspects. Vienna: Springer Vienna, 2007. http://dx.doi.org/10.1007/978-3-211-69291-2.
Texto completoB, Giaiotti Dario, Steinacker R y Stel Fulvio, eds. Atmospheric convection: Research and operational forecasting aspects. Wien: Springer, CISM, 2007.
Buscar texto completoC, Bienstock Carol, ed. Sales forecasting management: Understanding the techniques, systems, and management of the sales forecasting process. Thousand Oaks: Sage Publications, 1998.
Buscar texto completoBolt, Gordon J. Market and sales forecasting. New York: Watts, 1988.
Buscar texto completoCapítulos de libros sobre el tema "Forecasting – Research"
Isaac, David. "Forecasting and Research". En Property Investment, 292–302. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14468-6_14.
Texto completoGraefe, Andreas, Kesten C. Green y J. Scott Armstrong. "Forecasting". En 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.
Texto completoZheng, Yafei, Kin Keung Lai y Shouyang Wang. "Existing research". En 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.
Texto completoBurley, T. A. y G. O’Sullivan. "Forecasting Methods". En Work Out Operational Research, 189–212. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-08157-8_13.
Texto completoZheng, Xiaolian y Ben M. Chen. "Future Research". En Stock Market Modeling and Forecasting, 149–50. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5155-5_8.
Texto completoZheng, Yafei, Kin Keung Lai y Shouyang Wang. "Conclusions and future research". En 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.
Texto completoAllen, P. Geoffrey y Robert Fildes. "Econometric Forecasting". En 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.
Texto completoAhlburg, Dennis A. "Population Forecasting". En 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.
Texto completoNikolopoulos, Konstantinos I. y Dimitrios D. Thomakos. "Forecasting Analytics". En 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.
Texto completoLütkepohl, Helmut. "Forecasting Unpredictable Variables". En Empirical Economic and Financial Research, 287–304. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03122-4_18.
Texto completoActas de conferencias sobre el tema "Forecasting – Research"
Pace, Clark B. "Labor Availability and Productivity Forecasting". En Construction Research Congress 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40671(2003)111.
Texto completoZhendong Chen y Chaozhen Guo. "Research of forecasting typhoon GDSS". En 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658851.
Texto completoBi Ruixiang. "Fiscal revenue forecasting system research". En 2010 International Conference on Future Information Technology and Management Engineering (FITME). IEEE, 2010. http://dx.doi.org/10.1109/fitme.2010.5654754.
Texto completoWijnhoven, Fons, Nathan De Bruijn y Robin Effing. "Google trends forecasting of youth employment". En 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.
Texto completoWong, James M. W., S. Thomas Ng, Albert P. C. Chan y Y. H. Chiang. "Forecasting Construction Manpower Demand: An Econometric Model". En Construction Research Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41020(339)97.
Texto completoLiu, Shuliang, Zhiqiang Hu y Xiukai Chi. "The Research of Power Load Forecasting Method on Combination Forecasting Model". En 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.1273.
Texto completoFeroz, Raja M. Asim y Adeel Javed. "Forecasting of Wind Resources Using the Weather Research and Forecasting Software". En 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST). IEEE, 2021. http://dx.doi.org/10.1109/ibcast51254.2021.9393212.
Texto completoFang, Kui, Qingshan Ren, Xiangmei Feng y Xinghui Zhu. "Research on Rice Yield Forecasting Model". En 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.
Texto completoQin, Wan, Wei Yong y Yang Xiongqiong. "Research on grey wave forecasting model". En 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/gsis.2009.5408288.
Texto completoZhan, Zhigang. "Research on Power Demand Forecasting Methods". En 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.
Texto completoInformes sobre el tema "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), marzo de 2011. http://dx.doi.org/10.2172/1038916.
Texto completoGlascoe, L. y L. Kirkpatrick. Wind Energy Forecasting with the Weather Research and Forecasting Model, CRADA No. TC02123.0. Office of Scientific and Technical Information (OSTI), marzo de 2021. http://dx.doi.org/10.2172/1773576.
Texto completoSauter, Barbara. Weather Research and Forecasting (WRF) Results Over New Mexico. Fort Belvoir, VA: Defense Technical Information Center, enero de 2006. http://dx.doi.org/10.21236/ada443014.
Texto completoDugan, John. Assessment of European Research Programs Supporting Coastal Ocean Forecasting Systems. Fort Belvoir, VA: Defense Technical Information Center, abril de 1997. http://dx.doi.org/10.21236/ada325813.
Texto completoPoppeliers, Christian, Katherine Aur y Leiph Preston. Predicting Atmospheric Green's Functions using the Weather Research and Forecasting Model. Office of Scientific and Technical Information (OSTI), diciembre de 2018. http://dx.doi.org/10.2172/1761090.
Texto completoReen, Brian P. Improving Weather Research and Forecasting Model Initial Conditions via Surface Pressure Analysis. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2015. http://dx.doi.org/10.21236/ada621305.
Texto completoIacono, 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), marzo de 2015. http://dx.doi.org/10.2172/1172166.
Texto completoLundquist, Katherine Ann. Implementation of the Immersed Boundary Method in the Weather Research and Forecasting model. Office of Scientific and Technical Information (OSTI), enero de 2006. http://dx.doi.org/10.2172/900883.
Texto completoAlice Wu, Alice Wu. FROcasting: A pilot of forecasting in the scientific review of focused research organizations. Experiment, mayo de 2023. http://dx.doi.org/10.18258/51686.
Texto completoPassner, 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, septiembre de 2008. http://dx.doi.org/10.21236/ada487156.
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