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Artykuły w czasopismach na temat "Forecasting – Research"
Zheng, Xiao Xia, i Fu Yang. "Research of Wind Speed and Wind Power Forecasting". Advanced Materials Research 347-353 (październik 2011): 611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.611.
Pełny tekst źródłaDiamantopoulos, A. "Research on Forecasting". International Journal of Forecasting 18, nr 3 (lipiec 2002): 479–80. http://dx.doi.org/10.1016/s0169-2070(02)00003-1.
Pełny tekst źródłaAdya, Monica. "Research on Forecasting". International Journal of Forecasting 18, nr 3 (lipiec 2002): 481–82. http://dx.doi.org/10.1016/s0169-2070(02)00005-5.
Pełny tekst źródłaChatfield, Chris. "Research on Forecasting". International Journal of Forecasting 15, nr 2 (kwiecień 1999): 225–26. http://dx.doi.org/10.1016/s0169-2070(98)00078-8.
Pełny tekst źródłaSanders, Nada R. "Research on Forecasting". International Journal of Forecasting 15, nr 3 (lipiec 1999): 345–46. http://dx.doi.org/10.1016/s0169-2070(99)00010-2.
Pełny tekst źródłaFildes, Robert. "Research on forecasting". International Journal of Forecasting 5, nr 1 (styczeń 1989): 151–53. http://dx.doi.org/10.1016/0169-2070(89)90081-2.
Pełny tekst źródłaVasilevskaya, L. N., i E. Yu Potalova. "Hydrometeorological research and forecasting". Hydrometeorological research and forecasting, nr 1 (20.03.2020): 6–20. http://dx.doi.org/10.37162/2618-9631-2020-1-6-20.
Pełny tekst źródłaScott Armstrong, J. "Research needs in forecasting". International Journal of Forecasting 4, nr 3 (styczeń 1988): 449–65. http://dx.doi.org/10.1016/0169-2070(88)90111-2.
Pełny tekst źródłaEvanschitzky, Heiner, i J. Scott Armstrong. "Replications of forecasting research". International Journal of Forecasting 26, nr 1 (styczeń 2010): 4–8. http://dx.doi.org/10.1016/j.ijforecast.2009.09.003.
Pełny tekst źródłaBoylan, John E., Paul Goodwin, Maryam Mohammadipour i Aris A. Syntetos. "Reproducibility in forecasting research". International Journal of Forecasting 31, nr 1 (styczeń 2015): 79–90. http://dx.doi.org/10.1016/j.ijforecast.2014.05.008.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaNissan, Hannah. "Modelling rainfall erosivity using the Weather Research and Forecasting model". Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24681.
Pełny tekst źródłaMcCarty, Laura Smith. "Evaluation and recommendation of storage space forecasting model(s)". Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/24250.
Pełny tekst źródłaMehalic, 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.
Pełny tekst źródłaThesis 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/.
Pełny tekst źródłaInman, Oliver Lane. "Technology Forecasting Using Data Envelopment Analysis". PDXScholar, 2004. https://pdxscholar.library.pdx.edu/open_access_etds/2682.
Pełny tekst źródłaFreixieiro, Gomes de Mello Rafael. "Design-led future forecasting model for mobile communications". Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13142.
Pełny tekst źródłaCalmon, 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.
Pełny tekst źródłaCataloged 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.
Pełny tekst źródłaConatser, 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.
Pełny tekst źródłaThesis Advisor(s): Ronald D. Fricker. "September 2006." Includes bibliographical references (p. 49-50). Also available in print.
Książki na temat "Forecasting – Research"
Chow, Fotini K., Stephan F. J. De Wekker i Bradley J. Snyder, red. Mountain Weather Research and Forecasting. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-4098-3.
Pełny tekst źródłaErhardt, Gregory D., Jawad Hoque, Mei Chen, Reginald Souleyrette, David Schmitt, Ankita Chaudhary, Sujith Rapolu i in. Traffic Forecasting Accuracy Assessment Research. Washington, D.C.: Transportation Research Board, 2020. http://dx.doi.org/10.17226/25637.
Pełny tekst źródłaClifton, Peter. Market research: Using forecasting in business. Oxford: Butterworth-Heinemann, 1992.
Znajdź pełny tekst źródłaClifton, Peter. Market research: Using forecasting in business. London: Butterworth Heineman, 1992.
Znajdź pełny tekst źródłaNeves, Diogo F. Droughts: New research. Hauppauge, N.Y: Nova Science Publisher's, 2011.
Znajdź pełny tekst źródłaMentzer, John T. Sales forecasting management. Thousand Oaks, CA: Sage Publications, 1998.
Znajdź pełny tekst źródłaGiaiotti, Dario B., Reinhold Steinacker i Fulvio Stel, red. Atmospheric Convection: Research and Operational Forecasting Aspects. Vienna: Springer Vienna, 2007. http://dx.doi.org/10.1007/978-3-211-69291-2.
Pełny tekst źródłaB, Giaiotti Dario, Steinacker R i Stel Fulvio, red. Atmospheric convection: Research and operational forecasting aspects. Wien: Springer, CISM, 2007.
Znajdź pełny tekst źródłaC, Bienstock Carol, red. Sales forecasting management: Understanding the techniques, systems, and management of the sales forecasting process. Thousand Oaks: Sage Publications, 1998.
Znajdź pełny tekst źródłaBolt, Gordon J. Market and sales forecasting. New York: Watts, 1988.
Znajdź pełny tekst źródłaCzęści książek na temat "Forecasting – Research"
Isaac, David. "Forecasting and Research". W Property Investment, 292–302. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14468-6_14.
Pełny tekst źródłaGraefe, Andreas, Kesten C. Green i J. Scott Armstrong. "Forecasting". W 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.
Pełny tekst źródłaZheng, Yafei, Kin Keung Lai i Shouyang Wang. "Existing research". W 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.
Pełny tekst źródłaBurley, T. A., i G. O’Sullivan. "Forecasting Methods". W Work Out Operational Research, 189–212. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-08157-8_13.
Pełny tekst źródłaZheng, Xiaolian, i Ben M. Chen. "Future Research". W Stock Market Modeling and Forecasting, 149–50. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5155-5_8.
Pełny tekst źródłaZheng, Yafei, Kin Keung Lai i Shouyang Wang. "Conclusions and future research". W 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.
Pełny tekst źródłaAllen, P. Geoffrey, i Robert Fildes. "Econometric Forecasting". W 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.
Pełny tekst źródłaAhlburg, Dennis A. "Population Forecasting". W 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.
Pełny tekst źródłaNikolopoulos, Konstantinos I., i Dimitrios D. Thomakos. "Forecasting Analytics". W 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.
Pełny tekst źródłaLütkepohl, Helmut. "Forecasting Unpredictable Variables". W Empirical Economic and Financial Research, 287–304. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03122-4_18.
Pełny tekst źródłaStreszczenia konferencji na temat "Forecasting – Research"
Pace, Clark B. "Labor Availability and Productivity Forecasting". W Construction Research Congress 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40671(2003)111.
Pełny tekst źródłaZhendong Chen i Chaozhen Guo. "Research of forecasting typhoon GDSS". W 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658851.
Pełny tekst źródłaBi Ruixiang. "Fiscal revenue forecasting system research". W 2010 International Conference on Future Information Technology and Management Engineering (FITME). IEEE, 2010. http://dx.doi.org/10.1109/fitme.2010.5654754.
Pełny tekst źródłaWijnhoven, Fons, Nathan De Bruijn i Robin Effing. "Google trends forecasting of youth employment". W 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.
Pełny tekst źródłaWong, James M. W., S. Thomas Ng, Albert P. C. Chan i Y. H. Chiang. "Forecasting Construction Manpower Demand: An Econometric Model". W Construction Research Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41020(339)97.
Pełny tekst źródłaLiu, Shuliang, Zhiqiang Hu i Xiukai Chi. "The Research of Power Load Forecasting Method on Combination Forecasting Model". W 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.1273.
Pełny tekst źródłaFeroz, Raja M. Asim, i Adeel Javed. "Forecasting of Wind Resources Using the Weather Research and Forecasting Software". W 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST). IEEE, 2021. http://dx.doi.org/10.1109/ibcast51254.2021.9393212.
Pełny tekst źródłaFang, Kui, Qingshan Ren, Xiangmei Feng i Xinghui Zhu. "Research on Rice Yield Forecasting Model". W 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.
Pełny tekst źródłaQin, Wan, Wei Yong i Yang Xiongqiong. "Research on grey wave forecasting model". W 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/gsis.2009.5408288.
Pełny tekst źródłaZhan, Zhigang. "Research on Power Demand Forecasting Methods". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "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), marzec 2011. http://dx.doi.org/10.2172/1038916.
Pełny tekst źródłaGlascoe, L., i L. Kirkpatrick. Wind Energy Forecasting with the Weather Research and Forecasting Model, CRADA No. TC02123.0. Office of Scientific and Technical Information (OSTI), marzec 2021. http://dx.doi.org/10.2172/1773576.
Pełny tekst źródłaSauter, Barbara. Weather Research and Forecasting (WRF) Results Over New Mexico. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2006. http://dx.doi.org/10.21236/ada443014.
Pełny tekst źródłaDugan, John. Assessment of European Research Programs Supporting Coastal Ocean Forecasting Systems. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 1997. http://dx.doi.org/10.21236/ada325813.
Pełny tekst źródłaPoppeliers, Christian, Katherine Aur i Leiph Preston. Predicting Atmospheric Green's Functions using the Weather Research and Forecasting Model. Office of Scientific and Technical Information (OSTI), grudzień 2018. http://dx.doi.org/10.2172/1761090.
Pełny tekst źródłaReen, Brian P. Improving Weather Research and Forecasting Model Initial Conditions via Surface Pressure Analysis. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2015. http://dx.doi.org/10.21236/ada621305.
Pełny tekst źródłaIacono, 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), marzec 2015. http://dx.doi.org/10.2172/1172166.
Pełny tekst źródłaLundquist, Katherine Ann. Implementation of the Immersed Boundary Method in the Weather Research and Forecasting model. Office of Scientific and Technical Information (OSTI), styczeń 2006. http://dx.doi.org/10.2172/900883.
Pełny tekst źródłaAlice Wu, Alice Wu. FROcasting: A pilot of forecasting in the scientific review of focused research organizations. Experiment, maj 2023. http://dx.doi.org/10.18258/51686.
Pełny tekst źródłaPassner, 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, wrzesień 2008. http://dx.doi.org/10.21236/ada487156.
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