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dc.contributor.advisorZehna, Peter W.
dc.contributor.authorReilly, Joseph V.
dc.date.accessioned2012-08-29T23:30:45Z
dc.date.available2012-08-29T23:30:45Z
dc.date.issued1965
dc.identifier.urihttp://hdl.handle.net/10945/12037
dc.description.abstractInventory systems may be analyzed using techniques which were originally devised to study the dynamic response of servomechanisms. This paper uses these methods to study an inventory system using exponential smoothing to predict a demand which is assumed to have a linear trend with uncorrelated noise components. The statistical properties of the estimator are investigated, and both exact and limiting expressions for its mean and variance are derived. The model is assumed to have a fixed time lag between the placing of a replenishment order and its receipt, and the system response is determined for impulse, step and ramp inputs. The choice of a smoothing constant is discussed, and the effect of the choice on the variance of the forecast equation, and the response time of the system is analyzed.en_US
dc.description.urihttp://www.archive.org/details/dynamicinventory00reil
dc.language.isoen_US
dc.publisherMonterey, California: U.S. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleA dynamic inventory model using exponential smoothing.en_US
dc.typeThesisen_US
dc.contributor.departmentOperations Analysis
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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