Academic literature on the topic 'Forecasting – Research'
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Journal articles on the topic "Forecasting – Research"
Zheng, Xiao Xia, and Fu Yang. "Research of Wind Speed and Wind Power Forecasting." Advanced Materials Research 347-353 (October 2011): 611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.611.
Full textDiamantopoulos, A. "Research on Forecasting." International Journal of Forecasting 18, no. 3 (July 2002): 479–80. http://dx.doi.org/10.1016/s0169-2070(02)00003-1.
Full textAdya, Monica. "Research on Forecasting." International Journal of Forecasting 18, no. 3 (July 2002): 481–82. http://dx.doi.org/10.1016/s0169-2070(02)00005-5.
Full textChatfield, Chris. "Research on Forecasting." International Journal of Forecasting 15, no. 2 (April 1999): 225–26. http://dx.doi.org/10.1016/s0169-2070(98)00078-8.
Full textSanders, Nada R. "Research on Forecasting." International Journal of Forecasting 15, no. 3 (July 1999): 345–46. http://dx.doi.org/10.1016/s0169-2070(99)00010-2.
Full textFildes, Robert. "Research on forecasting." International Journal of Forecasting 5, no. 1 (January 1989): 151–53. http://dx.doi.org/10.1016/0169-2070(89)90081-2.
Full textVasilevskaya, L. N., and E. Yu Potalova. "Hydrometeorological research and forecasting." Hydrometeorological research and forecasting, no. 1 (March 20, 2020): 6–20. http://dx.doi.org/10.37162/2618-9631-2020-1-6-20.
Full textScott Armstrong, J. "Research needs in forecasting." International Journal of Forecasting 4, no. 3 (January 1988): 449–65. http://dx.doi.org/10.1016/0169-2070(88)90111-2.
Full textEvanschitzky, Heiner, and J. Scott Armstrong. "Replications of forecasting research." International Journal of Forecasting 26, no. 1 (January 2010): 4–8. http://dx.doi.org/10.1016/j.ijforecast.2009.09.003.
Full textBoylan, John E., Paul Goodwin, Maryam Mohammadipour, and Aris A. Syntetos. "Reproducibility in forecasting research." International Journal of Forecasting 31, no. 1 (January 2015): 79–90. http://dx.doi.org/10.1016/j.ijforecast.2014.05.008.
Full textDissertations / Theses on the topic "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.
Full textNissan, Hannah. "Modelling rainfall erosivity using the Weather Research and Forecasting model." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24681.
Full textMcCarty, Laura Smith. "Evaluation and recommendation of storage space forecasting model(s)." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/24250.
Full textMehalic, 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.
Full textThesis 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/.
Full textInman, Oliver Lane. "Technology Forecasting Using Data Envelopment Analysis." PDXScholar, 2004. https://pdxscholar.library.pdx.edu/open_access_etds/2682.
Full textFreixieiro, Gomes de Mello Rafael. "Design-led future forecasting model for mobile communications." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13142.
Full textCalmon, 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.
Full textCataloged 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.
Full textConatser, 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.
Full textThesis Advisor(s): Ronald D. Fricker. "September 2006." Includes bibliographical references (p. 49-50). Also available in print.
Books on the topic "Forecasting – Research"
Chow, Fotini K., Stephan F. J. De Wekker, and Bradley J. Snyder, eds. Mountain Weather Research and Forecasting. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-4098-3.
Full textErhardt, 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.
Full textMarket research: Using forecasting in business. Oxford: Butterworth-Heinemann, 1992.
Find full textClifton, Peter. Market research: Using forecasting in business. London: Butterworth Heineman, 1992.
Find full textNeves, Diogo F. Droughts: New research. Hauppauge, N.Y: Nova Science Publisher's, 2011.
Find full textC, Bienstock Carol, ed. Sales forecasting management. Thousand Oaks, CA: Sage Publications, 1998.
Find full textGiaiotti, Dario B., Reinhold Steinacker, and 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.
Full textB, Giaiotti Dario, Steinacker R, and Stel Fulvio, eds. Atmospheric convection: Research and operational forecasting aspects. Wien: Springer, CISM, 2007.
Find full textC, Bienstock Carol, ed. Sales forecasting management: Understanding the techniques, systems, and management of the sales forecasting process. Thousand Oaks: Sage Publications, 1998.
Find full textBolt, Gordon J. Market and sales forecasting. New York: Watts, 1988.
Find full textBook chapters on the topic "Forecasting – Research"
Isaac, David. "Forecasting and Research." In Property Investment, 292–302. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14468-6_14.
Full textGraefe, Andreas, Kesten C. Green, and J. Scott Armstrong. "Forecasting." In 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.
Full textZheng, Yafei, Kin Keung Lai, and Shouyang Wang. "Existing research." In 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.
Full textBurley, T. A., and G. O’Sullivan. "Forecasting Methods." In Work Out Operational Research, 189–212. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-08157-8_13.
Full textZheng, Xiaolian, and Ben M. Chen. "Future Research." In Stock Market Modeling and Forecasting, 149–50. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5155-5_8.
Full textZheng, Yafei, Kin Keung Lai, and Shouyang Wang. "Conclusions and future research." In 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.
Full textAllen, P. Geoffrey, and Robert Fildes. "Econometric Forecasting." In 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.
Full textAhlburg, Dennis A. "Population Forecasting." In 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.
Full textNikolopoulos, Konstantinos I., and Dimitrios D. Thomakos. "Forecasting Analytics." In 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.
Full textLütkepohl, Helmut. "Forecasting Unpredictable Variables." In Empirical Economic and Financial Research, 287–304. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03122-4_18.
Full textConference papers on the topic "Forecasting – Research"
Pace, Clark B. "Labor Availability and Productivity Forecasting." In Construction Research Congress 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40671(2003)111.
Full textZhendong Chen and Chaozhen Guo. "Research of forecasting typhoon GDSS." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658851.
Full textBi Ruixiang. "Fiscal revenue forecasting system research." In 2010 International Conference on Future Information Technology and Management Engineering (FITME). IEEE, 2010. http://dx.doi.org/10.1109/fitme.2010.5654754.
Full textWijnhoven, Fons, Nathan De Bruijn, and Robin Effing. "Google trends forecasting of youth employment." In 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.
Full textWong, James M. W., S. Thomas Ng, Albert P. C. Chan, and Y. H. Chiang. "Forecasting Construction Manpower Demand: An Econometric Model." In Construction Research Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41020(339)97.
Full textLiu, Shuliang, Zhiqiang Hu, and Xiukai Chi. "The Research of Power Load Forecasting Method on Combination Forecasting Model." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.1273.
Full textFeroz, Raja M. Asim, and Adeel Javed. "Forecasting of Wind Resources Using the Weather Research and Forecasting Software." In 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST). IEEE, 2021. http://dx.doi.org/10.1109/ibcast51254.2021.9393212.
Full textFang, Kui, Qingshan Ren, Xiangmei Feng, and Xinghui Zhu. "Research on Rice Yield Forecasting Model." In 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.
Full textQin, Wan, Wei Yong, and Yang Xiongqiong. "Research on grey wave forecasting model." In 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/gsis.2009.5408288.
Full textZhan, Zhigang. "Research on Power Demand Forecasting Methods." In 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.
Full textReports on the topic "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), March 2011. http://dx.doi.org/10.2172/1038916.
Full textGlascoe, L., and L. Kirkpatrick. Wind Energy Forecasting with the Weather Research and Forecasting Model, CRADA No. TC02123.0. Office of Scientific and Technical Information (OSTI), March 2021. http://dx.doi.org/10.2172/1773576.
Full textSauter, Barbara. Weather Research and Forecasting (WRF) Results Over New Mexico. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada443014.
Full textDugan, John. Assessment of European Research Programs Supporting Coastal Ocean Forecasting Systems. Fort Belvoir, VA: Defense Technical Information Center, April 1997. http://dx.doi.org/10.21236/ada325813.
Full textPoppeliers, Christian, Katherine Aur, and Leiph Preston. Predicting Atmospheric Green's Functions using the Weather Research and Forecasting Model. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1761090.
Full textReen, Brian P. Improving Weather Research and Forecasting Model Initial Conditions via Surface Pressure Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 2015. http://dx.doi.org/10.21236/ada621305.
Full textIacono, 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), March 2015. http://dx.doi.org/10.2172/1172166.
Full textLundquist, Katherine Ann. Implementation of the Immersed Boundary Method in the Weather Research and Forecasting model. Office of Scientific and Technical Information (OSTI), January 2006. http://dx.doi.org/10.2172/900883.
Full textAlice Wu, Alice Wu. FROcasting: A pilot of forecasting in the scientific review of focused research organizations. Experiment, May 2023. http://dx.doi.org/10.18258/51686.
Full textPassner, 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, September 2008. http://dx.doi.org/10.21236/ada487156.
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