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    Demand forecasting for job order products in highly technological and emerging industries

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    MCFARLAND-MASTERS-REPORT.pdf (724.4Kb)
    Date
    2012-05
    Author
    McFarland, Ian Christopher
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    Abstract
    Demand forecasting is an important step of a company’s supply chain management process, allowing companies to project their needs for different components that are used in the final product. This is even more important in emerging industries with job order (or project-based) products where historical demands do not exist and components may not be readily available or may involve a long lead time. Developing a demand forecasting model which accurately projects the needs of components for a company can decrease costs while decreasing overall lead times of final products. This demand forecast model takes into account projected component needs along with the likelihood of successfully winning a project bid. The model is extended to four different demand forecasting formulas incorporating different use of the winning probabilities. Historical results are then used to compare the methods and their advantages and disadvantages are discussed.
    Department
    Operations Research and Industrial Engineering
    Description
    text
    Subject
    Demand forecasting
    Supply chain
    URI
    http://hdl.handle.net/2152/ETD-UT-2012-05-5514
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    • facebook
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    • CONTACT US
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    • UT Austin Home
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    • Web Accessibility Policy
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    Subscribe to our NewsletterGive to the Libraries

    © The University of Texas at Austin