demand forecasts
US Newsprint Demand Forecasts to 2020
... For the derivation of the Bayesian prior, the scenario plots constructed by a group of research and development (R&D) managers of the paper industry were used. The experts participated in an online course on ...
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Demand Forecasts. Contents. 1. Overview APPENDIX H
... PSE’s regional economic and demographic forecast is prepared internally using econometric models whose primary input is a macroeconomic forecast of the United States and historical economic data of counties in PSE’s ...
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Variable weight combined forecast of China’s energy demand based on grey model and BP neural network
... energy demand forecasts, we respectively use gray model, BP neural network for regression, cubic exponential smoothing and linear regression of the four forecasting methods to forecast China's energy ...
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Vol 61, No 3 (2018)
... Abstract: In a manufacturing environment, the final product includes sub-assemblies and elementary parts that are put together hierarchically. By using hierarchy information in the bill of materials (BOM), demand ...
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forecast modeling Statistical Calculations, Replacement Items, and Forecast Templates for Demand Planning Industries Required Modules:
... Accurate demand forecasts are essential for distributors and manufacturers who need to determine which products to buy or make and how many to keep on hand in order to avoid stock-outs and lost sales while ...
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Simultaneous modeling of passenger and cargo demand at an airport
... cargo demand in an airport are an important parameter for airport planners, both for operational and strategic decision ...turn forecasts suffice for immediate operational planning, longer run ...
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THE DECISION OPTIMIZATION OF PRODUCT DEVELOPMENT BY CONSIDERING THE CUSTOMER DEMAND SATURATION
... of demand forecasts, which solved the problem of highly unstable about intermittent customer demands; Tan (2013) designed a questionnaire for electric features to capture customer demands, through fuzzy ...
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Scenario Forecasting for Global Tourism
... the demand model vary over time (Song, Witt, & Li, 2009, ...the demand for ...post forecasts of demand under no-impact and economic-impact scenarios and estimated the effects of the events ...
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Machine Learning Forecasts of Public Transport Demand : a comparative analysis of supervised algorithms using smart card data
... However, this tells us nothing in terms of demand forecasts; indeed, causality would appear not to be directly relevant. Clearly, we would all expect the number of passengers to increase on working days and ...
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On-Demand Severe Weather Forecasts Using TeraGrid via the LEAD Portal
... Thunderstorm prediction verification is an active area of research and both objective and subjective verification processes are challenging to design and accurately interpret. It has been shown that the use of ...
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Forecasts of the Scottish economy [June 2009]
... Looking at the sectoral forecasts for employment levels, in all scenarios the services sector sees the largest decline in job numbers in both 2009 and 2010. Overall, 51,000 service sector jobs are forecast to be ...
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Resilient revenue management:A literature survey of recent theoretical advances
... Airlines traditionally implement quantity-based revenue management, allocat- ing capacity to discrete fare classes (compare Talluri and van Ryzin, 2004, p. 33): A capacity-based optimisation controls offers based on the ...
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Characterization of Peaks and Valleys of Electricity Demand Application to the Spanish Mainland System in the Period 2000 2020
... 2011-2020. Forecasts of total electricity demand of Spanish energy authorities set the boundary ...of demand (2000-2010) and with various predictions ...of demand will raise ...
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Information-sharing in supply chains - five proposals on how to proceed
... consumer demand variability, decreases inventory levels by 35% compared to only order information-sharing (Li et al ...if forecasts can be based on POS data (Kiely ...update forecasts improves ...
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Forecasting Energy Demand & Peak Load Days with the Inclusion of Solar Energy Production
... Peak load demand forecasting was studied at the institutional level for the buildings on campus at Chung-ang University in Seoul, Korea in Kim et al. (2019). Various different models were explored to predict peak ...
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Strategic Forecasting of Electricity Demand Using System Dynamics Approach
... System dynamics methodology has been applied for forecasting in various sectors. Lyneis [30] forecasted the jet aircraft industry and found that the system dynamics forecast perform better than stochastic ...
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Understanding the use of forecasting software: an interpretive study in a supply chain company
... However, the provision of an easy-to-use facility for judgmental intervention is also in the interests of the company’s middle managers. They can be seen to be using an advanced package containing reportedly ...
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Quantifying the total net benefits of grid integrated wind
... Discrete decisions must be made about the on/off status of a generator to ensure it is not dispatched below its minimum rated capacity. Since the dispatch model does not explicitly contain discrete decision variables, ...
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A Case Study: NLG meeting Weather Industry Demand for Quality and Quantity of Textual Weather Forecasts
... Expert forecasters post-edit texts (interactivity) in their native language and this knowledge is then reused (knowledge administration) for au- tomatically generating texts in other languages. It is claimed that such ...
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FUTURE AIRPORT CAPACITY UTILIZATION IN GERMANY: PEAKED CONGESTION AND/OR IDLE CAPACITY
... Düsseldorf, forecasts indicate a continuation of the former growth trend of air travel ...traffic forecasts is that one-third of the international airports of Germany, which handle three-quarters of the ...
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