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Relevant bibliographies by topics / Demand Forecast Updating

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Journal articles
Dissertations / Theses
Conference papers

Academic literature on the topic 'Demand Forecast Updating'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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Journal articles on the topic "Demand Forecast Updating"

1

Zheng, Meimei, Kan Wu, and Yan Shu. "Newsvendor problems with demand forecast updating and supply constraints." Computers & Operations Research 67 (March 2016): 193–206. http://dx.doi.org/10.1016/j.cor.2015.10.007.

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2

Gurnani, Haresh, and Christopher S. Tang. "Note: Optimal Ordering Decisions with Uncertain Cost and Demand Forecast Updating." Management Science 45, no. 10 (1999): 1456–62. http://dx.doi.org/10.1287/mnsc.45.10.1456.

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3

Barron, Orie E., and Pamela S. Stuerke. "Dispersion in Analysts' Earnings Forecasts as a Measure of Uncertainty." Journal of Accounting, Auditing & Finance 13, no. 3 (1998): 245–70. http://dx.doi.org/10.1177/0148558x9801300305.

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This study examines whether dispersion in analysts' earnings forecasts reflects uncertainty about firms' future economic performance. Prior research examining this issue has been inconclusive. These studies have concluded that forecast dispersion is likely to reflect factors other than uncertainty about future cash flows, such as uncertainty about the price irrelevant component of firms' financial reports (Daley et al. [1988]; Imhoff and Lobo [1992]). Abarbanell et al. (1995) argue that, if forecast dispersion after (i.e., conditional on) an earnings announcement reflects uncertainty about fir

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4

Song, Hua-ming, Hui Yang, Alain Bensoussan, and Ding Zhang. "Optimal decision making in multi-product dual sourcing procurement with demand forecast updating." Computers & Operations Research 41 (January 2014): 299–308. http://dx.doi.org/10.1016/j.cor.2013.07.015.

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Liu, Ming, and Ding Zhang. "A dynamic logistics model for medical resources allocation in an epidemic control with demand forecast updating." Journal of the Operational Research Society 67, no. 6 (2016): 841–52. http://dx.doi.org/10.1057/jors.2015.105.

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6

Paliński, Andrzej. "Prognozowanie zapotrzebowania na gaz metodami sztucznej inteligencji." Nafta-Gaz 75, no. 2 (2019): 111–17. http://dx.doi.org/10.18668/ng.2019.02.07.

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The paper presents contemporary trends in artificial intelligence and machine learning methods, which include, among others, artificial neural networks, decision trees, fuzzy logic systems and others. Computational intelligence methods are part of the field of research on artificial intelligence. Selected methods of computational intelligence were used to build medium-term monthly forecasts of natural gas demand for Poland. The accuracy of forecasts obtained using the artificial neural network and the decision tree with classical linear regression was compared based on historical data from a t

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7

Refonaa, J., B. Naveen, S. L. JanyShabu, S. Dhamodaran, Mary Gladance, and M. Lakshmi. "Fertilizer Value Updation to Farmers." Journal of Computational and Theoretical Nanoscience 17, no. 8 (2020): 3516–19. http://dx.doi.org/10.1166/jctn.2020.9222.

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Fertilizer demand updating has a good practical significance to direct agricultural yield and for notifying the growth in market price of fertilizer to the farmer. In this the data analysis technology is used to update the rate change via notification. When the fertilizer value changes market gets the notifications for different types of land states. Fertilizers quality is pick out by ranking process. By this process the rate of the low and high qualities fertilizer is informed. The usage of number of classifiers provides a way to make good decision on prophecy due to the usage of multiple cla

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So, Kut C., and Xiaona Zheng. "Impact of supplier's lead time and forecast demand updating on retailer's order quantity variability in a two-level supply chain." International Journal of Production Economics 86, no. 2 (2003): 169–79. http://dx.doi.org/10.1016/s0925-5273(03)00050-1.

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9

Siqueira, Vinícius Alencar, Mino Viana Sorribas, Juan Martin Bravo, Walter Collischonn, Auder Machado Vieira Lisboa, and Giovanni Gomes Villa Trinidad. "Real-time updating of HEC-RAS model for streamflow forecasting using an optimization algorithm." RBRH 21, no. 4 (2016): 855–70. http://dx.doi.org/10.1590/2318-0331.011616086.

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ABSTRACT Real-time updating of channel flow routing models is essential for error reduction in hydrological forecasting. Recent updating techniques found in scientific literature, although very promising, are complex and often applied in models that demand much time and expert knowledge for their development, posing challenges for using in an operational context. Since powerful and well-known computational tools are currently available, which provide easy-to-use and less time-consuming platforms for preparation of hydrodynamic models, it becomes interesting to develop updating techniques adapt

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10

Akter, Farhana. "An Approach to Estimation of Gas Reserve of Narshingdi Gas Field in Bangladesh with Dynamic Reservoir Simulation." Journal of Chemical Engineering 29, no. 1 (2017): 19–23. http://dx.doi.org/10.3329/jce.v29i1.33814.

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Increasing demand of fuel globally formulates gas as one of the most valuable natural resources. There is lot of uncertainties in estimating hydrocarbon volume correctly from exploration to development stage of a gas field. The accuracy and reliability of data (reservoir geological model, fluid and rock properties) make the implement very hard-hitting. So estimating and updating the gas reserve has become vital issue, as it helps the planners for drawing mid-term and long-term development plan from field development level to national level. This paper presents the study of reserve estimation o

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Dissertations / Theses on the topic "Demand Forecast Updating"

1

Hong, Seong-Jong. "Analysis of the Benefits of Resource Flexibility, Considering Different Flexibility Structures." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/11185.

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We study the benefits of resource flexibility, considering two different flexibility structures. First, we want to understand the impact of the firm's pricing strategy on its resource investment decision, considering a partially flexible resource. Secondly, we study the benefits of a flexible resource strategic approach, considering a resource flexibility structure that has not been studied in the previous literature. First, we study the capacity investment decision faced by a firm that offers two products/services and that is a price-setter for both products/services. The products offered by

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2

Laosirihongthong, Tawatchai. "Updating judgments of uncertainty in travel demand forecasts with model outputs: Empirical results and analytical implication /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487946776021626.

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Conference papers on the topic "Demand Forecast Updating"

1

Zhou, Yin. "Optimal Order Quantity Decision for Fashion Goods with Demand Forecast Updating." In 11th International Conference of Chinese Transportation Professionals (ICCTP). American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41186(421)371.

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Zhou, Yin. "Optimal Order Quantity Decision for Railway Freight Service as a Supply Chain with Demand Forecast Updating and Two-Stage Production Modes." In Transportation Research Congress 2017. American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482513.028.

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3

Masuta, Taisuke, Daiki Kobayashi, Nguyen Hoang Hoang Viet, and Hideaki Ohtake. "Annual Evaluation of Supply-Demand with BESS Charging/Discharging Schedule and UC Updating Based on Intraday Forecasted PV Power Outputs." In 2018 Power Systems Computation Conference (PSCC). IEEE, 2018. http://dx.doi.org/10.23919/pscc.2018.8442599.

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