<mods:mods version="3.0" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:mods="http://www.loc.gov/mods/v3"><mods:titleInfo><mods:title>An Optimal Strategy for Maintaining Excess Capacity
</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Daya</mods:namePart><mods:namePart type="family">Gaur</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods: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.</mods:abstract><mods:classification authority="lcc">Transport and Automotive</mods:classification><mods:classification authority="lcc">Aerospace and defence</mods:classification><mods:classification authority="lcc">Finance</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">1998-06-05</mods:dateIssued></mods:originInfo><mods:genre>Study Group Report</mods:genre></mods:mods>
