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 25 for “"Forecast Demand"”.
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Assembling the crystal ball : using demand signal repository to forecast demand
Improving forecast accuracy has positive effects on supply chain performance. Forecast accuracy can reduce inventory levels, increase customer service levels and responsiveness, or a combination of the two. However, the further upstream in the supply chain, the more difficult it becomes to forecast …
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Emulating the southwest airline experience to forecast demand for High Speed Rail
… research primarily deals with developing a new forecasting methodology that takes "induced traffic" into account, calibrates a relational model - attributing the growth in traffic in a particular market to factors such as decrease in relative fare and increase in relative frequency and finally …
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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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Modelling the performance of revenue management systems in different competitive environments
… has relied upon the assumption that independent demands exist for different fare class products, and can be forecast as such. However, in less-differentiated fare environments this assumption has been shown to lead to "spiral-down" in revenues. Hence, in this thesis, seat inventory control …
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Material planning and inventory management
… policy of (Q, R) continuous review model with forecast demand is developed to reduce inventory in the external warehouse. The policy parameters of four most commonly used paperboards are determined and simulations based on historical demand data are run to evaluate the policy. A simulation with …
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Improving promotional effectiveness through supplier-retailer collaboration
… and executing promotions are to accurately forecast demand and to control Out-of-Stock at the shelf. This thesis addresses both these issues. At the strategic level, "Collaborative, Planning, Forecasting and Replenishment" is used to define a process for two companies to collaboratively plan …
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New product forecasting of appliance and consumables : bass model
… launching their new product was to predict its demand throughout the different stages of the product life-cycle. Being an emerging organization, Drinkworks needed a systematic demand planning tool to generate baseline strategic and operational forecasts of their new product. These baseline …
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Demand Forecasting In Manufacturing Pharmaceutical Small and Medium Enterprise’s (SME’s) In Ghana
Forecasting is a ubiquitous, multi-discipline area which has received much attention from practitioners and researchers for many several years. It permeates every facet of an organisation’s life as the bedrock of planning and decision making. An organisation’s ability to accurately predict future …
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Development of a consumable inventory management strategy for the supply management unit
… just enough inventories to satisfy customer demand. The evolution of inventory management has proven that there is a direct relationship between inventory and cost in that the ability to efficiently manage inventory serves as a catalyst for reducing cost. Efficient inventory management …
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Optimization-based decision support system for retail souring
… in the retail sourcing lie in predicting demand for a new article and making purchase decisions such as quantity, source, transportation mode and time of the order. Such decisions become more complex and time consuming as the number of SKUs and suppliers increase. The thesis addresses the …
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A decision-support model for managing the fuel inventory of a Panamanian generating company
… the most important given information (fuel price forecast, demand forecast, and current inventory levels), we define the equations that relate these inputs with the order sizes, and the availability and reserve constraints. Due to the large number of constraints, we devise a mechanism to calculate …
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Managing growth of a non-profit healthcare supply chain in Haiti
… data of drugs and medical supplies to forecast demand over the next three years. This demand data is then be used as input to run and compare the existing annual order policy with ordering policies with more frequent reviews. These inventory policies are then evaluated against the …
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Demand forecasting and decision making under uncertainty for long-term production planning in aviation industry
… large capital investments, and highly variable demand. Making important decisions with intensive capital investments requires accurate forecasting of future demand. However, this can be challenging because of significant variability in future scenarios. The purpose of this research is to develop …
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Impact of business forecasting on demand planning. A strategy for improving business forecasting and reducing inventories throughout the supply chain for fast moving consumer goods in the Middle East market.
Poor quality of information and forecasting create a number of problems for manufacturing companies, such as poor planning of products and insufficient service levels, which leads to increased inventory and stock holding or stockouts and increased total costs. Cussons (UK) Limited is experiencing …
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Analysis of variability in the semiconductor industry
… has complicated efforts to accurately forecast demand and set inventory targets. Products are becoming more complex, often containing assemblies of multiple parts. Lifecycles are becoming shorter; made possible by technology breakthroughs and efficient manufacturing ramp-ups. Demand and …
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Improving transportation access to the South Boston Seaport District
… 10 million square feet of development. Long-term forecasts for the area estimate that an additional 21 million square feet of development will be constructed in the Seaport District by 2030. The overall objective of this thesis is to explore strategies to ensure the Seaport District will have …
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Forecasting Twitter topic popularity using bass diffusion model and machine learning
… a Twitter topic is meaningful for a company to forecast demand, and plan ahead to dispatch its products. In this study, we collected Twitter data on 220 topics, covering a wide range of fields. And we created 12 features for each topic at each time stage, e.g. number of tweets mentioning this …
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Framework and strategies for reducing aircraft lead time
… long aircraft lead time. During periods of high demand long aircraft lead time is less of a concern since manufacturers often have a large backlog, which is greater than the lead time, allowing them to build the aircraft to order. However, during periods of low demand, manufacturers may need to …
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Using big data for decisions in agricultural supply chain
… AgChem, like many agricultural chemicals, is forecasted and produced months in advance of a very short sales window. With improved demand forecasting based on abundantly-available data, Dow AgroSciences, the manufacturer of AgChem, can make better production and distribution decisions. We …
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Responding to traveling patients' seasonal demands for health care services in the Veterans Health Administration
… VHA report large seasonal variation in the demand for services, especially in healthcare systems located in the southern U.S. that experience a large influx of "snowbirds" during the winter. Since the majority of resource allocation activities are carried out through a single annual …
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