Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 54 for “"demand forecast"”.
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Global Demand Forecast Model
Air transportation demand forecasting is a core element in aviation planning and policy decision making. NASA Langley Research Center addressed the need of a global forecast model to be integrated into the Transportation Systems Analysis Model (TSAM) to fulfil the vision of the Aeronautics Research …
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Demand forecast for short life cycle products : Zara case study
… includes a process to develop a point forecast of demand of new articles, the top-down forecast at the color and size level and an optimization module to produce recommendations to define the optimal quantity to purchase and the optimal origin to source from. This thesis is the first …
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General manager characteristics, demand forecast accuracy, and decision quality in new firms
… and fast changing business environment, accurate demand forecasting is increasingly important to business decision making. The purpose of this study is to investigate the relationship between general manager (GM) characteristic, demand forecast accuracy and decision quality in new firms. A …
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An Evaluation of Assignment Algorithms and Post-Processing Techniques for Travel Demand Forecast Models
… was accomplished by using a regional travel demand forecast model calibrated and validated for the year 1990 and developing a highway forecast for the year 2000. The forecasted volumes along the Capital Beltway (I-495/I-95) portion located in the State of Maryland were compared to observed …
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Aviation Global Demand Forecast Model Development: Air Transportation Demand Distribution and Aircraft Fleet Evolution
… efforts with Virginia Tech to develop a global demand model with the capability to predict future demand in the air transportation field. A previous study (Alsalous, 2015) started the development of the Global Demand Mode (GDM) to predict air travel demand based on Gross Domestic Product (GDP) …
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Improving online demand forecast using novel features in website data : a case study at Zara
… new methodologies to predict e-commerce consumer demand for seasonal, short life-cycle articles. The new methodology incorporates novel data to predict demand of existing products through a bottom-up point forecast at the color and location level. It addresses the widely observed challenge of …
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Reducing the demand forecast error due to the bullwhip effect in the computer processor industry
Intel's current demand-forecasting processes rely on customers' demand forecasts. Customers do not revise demand forecasts as demand decreases until the last minute. Intel's current demand models provide little guidance for judging customer orders when the market changes. As a result, during the …
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A bottom-up prospective dynamic materials flow assessment for platinum group metals (PGM) global demand forecast
Thesis: S.M., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2014.
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Improving the consumer demand forecast to generate more accurate suggested orders at the store-item level
… on a number of factors including: * Baseline forecast (specific to store-item combination) * Seasonality effects (i.e., higher demand for products during particular seasons) * Promotional effects (i.e., lift created from sale prices) * Presence of in-store displays (i.e., more space for …
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Cannibalization effects of products in Zara's stores and demand forecasting
… offerings and fickle consumer tastes, product demand in the apparel retail industry is volatile and difficult to predict. It is also thought to be impacted significantly by the presence of other products in the store, which may cannibalize or complement sales. This thesis explores the …
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Is nuclear power a cost optimal solution for Kenya's electricity generation mix?
… mix and satisfaction of future electricity demand. The aim of this thesis was therefore to determine whether electricity demand in Kenya could be met without nuclear power and whether it was more economical to utilize nuclear power in Kenya's electricity generation mix rather than increase …
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Dynamic Algorithm for Target Inventory and the Impact on Replenishment Strategy
… model for calculating cycle stock using the demand forecast and safety stock using the demand variability combined with service levels set by the business. This thesis focuses on non-traditional approaches that do not rely on the base stock model, which makes it difficult to dynamically set …
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Demand forecasting at Zara : a look at seasonality, product lifecycle and cannibalization
… high product mix and vast global network makes demand forecasting for Zara a challenging endeavor. This thesis sets out to incorporate the effects from seasonality, product lifecycle, and cannibalization into a long term aggregate demand forecast and a short term SKU replenishment forecast. For …
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The addition of a US Rare Earth Element (REE) supply-demand model improves the characterization and scope of the United States Department of Energy's effort to forecast US REE Supply and Demand
… of a new US Rare Earth Element (REE) Supply-Demand Model for the explicit forecast of US REE supply and demand in the 2010 to 2025 time period. In the 2010 Department of Energy (DOE) Critical Material Strategy (CMS) report, the DOE created a DOE REE Supply- Demand Model that forecasted world …
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Analytics for hotels : demand prediction and decision optimization
… learning techniques can be applied to improve demand predictions and help a hotel property to make better decisions on its pricing and capacity allocation strategies. To solve the decision optimization problem, we first build a random forest model to predict demand under given prices, and then …
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Power system energy imbalance settlement in deregulated electricity market
… electricity market the difference between forecast demand and actual demand is balanced by additional generation from the cheapest available source after network security is taken into consideration. The electricity price to supply this difference in demand forecast error is already …
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Operationalizing demand forecasts in the warehouse
Demand planning affects the subsequent business activities including distribution center operational planning and management. Today's competitive environment requires distribution centers to rapidly respond to changes in the quantity and nature of demand. For the distribution center, accurate …
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Customer focused collaborative demand planning
… a firm collaborate with each other to generate a demand forecast. In a collaborative demand planning process buyers and sellers collaborate with each other to generate a mutually agreed upon forecast which takes into account the needs and limitations of both buyers and sellers. In this research we …
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Dynamic airline scheduling and robust airline schedule de-peaking
Demand stochasticity is a major challenge for the airlines in their quest to produce profit maximizing schedules. Even with an optimized schedule, many flights have empty seats at departure, while others suffer a lack of seats to accommodate passengers who desire to travel. Recognizing that demand …
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Improving supply chain resilience
… disruption such as changes in exchange rates and demand forecast accuracy, fuel price fluctuation, labor cost increase and shipping disruptions. As a result, establishing this multistage supply chain is recommended.
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