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    An analysis and implementation of a land environment spare parts scaling model for the Canadian Forces

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    Author
    Switzer, Jeffrey Charles, 1956-
    Issue Date
    1988
    Keywords
    Spare parts.
    Inventory control -- Mathematical models.
    Canada -- Armed Forces -- Inventory control.
    Advisor
    Higle, Julia L.
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    This thesis examines the spare parts mission scaling problem within the land environment of the Canadian Forces. A revision was done to the recently proposed Land Automated Scaling System, thus providing a readily implementable version of this model. This revised model determines the kit of spare parts for a first or second line unit to carry in order to maximize the operational availability of the deployed weapons systems, subject to a volume constraint. Bayesian methods and actual part demand data are used to revise the demand distribution to more accurately reflect the distribution of the number of parts required during a mission, taking into account the environmental conditions and usage mode of the equipment. The model is easy to use, requiring readily available and easily accessible input data. In addition, it can be operated on a Base minicomputer, thus allowing it to be used by the ordinance engineering and supply officers at the unit/formation level to produce and revise their parts scales as their situation requires.
    Type
    text
    Thesis-Reproduction (electronic)
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Graduate College
    Systems and Industrial Engineering
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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