  <eprint id="http://www.maths-in-industry.org/miis/id/eprint/120" xmlns="http://eprints.org/ep2/data/2.0">
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    <datestamp>2008-01-24</datestamp>
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    <title>An Optimal Strategy for Maintaining Excess Capacity</title>
    <ispublished>unpub</ispublished>
    <subjects>
      <item>transport</item>
      <item>aerodef</item>
      <item>finance</item>
    </subjects>
    <studygroups>ipsw2</studygroups>
    <companyname>Boeing Corporation</companyname>
    <full_text_status>public</full_text_status>
    <abstract>Boeing is a manufacturing industry with very low production volumes of very large units. As such, they experience huge fluctuations in demand. A standard inventory model dictates massive changes in production capacity as demand varies.  However all such models assume a continuous production stream. In this report we investigate the following question whether such a model is sensible in a problem of such large scale granularity. We describe a combination of stochastic, financial and simulation models to model the production of airplanes. A  preliminary simulation of the model is also presented.</abstract>
    <problem_statement>Year to year, there are wide fluctuations in the demand of airplane orders at Boeing. This causes massive lay-offs and hirings which has very high cost. The problem is to devise a financial strategy to deal with these fluctuations so as to maximize the long term profit of the company.</problem_statement>
    <date>1998-06-05</date>
    <date_type>published</date_type>
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