UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.

More information is available at Theses and Dissertations at University of Maryland Libraries.

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Subject: search.filters.subject.Analytic Hierarchy Process

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    A Structured Methodology For Identifying Performance Metrics And Monitoring Maintenance Effectiveness
    (2005-12-13) Amoedo, Maria Mercedes; Modarres, Mohammad; Reliability Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Most current maintenance programs focus on achieving the main goals of maintenance operations: increasing mean time between failures, reducing time to repair and minimizing costs. Some researchers have focused on optimizing these variables. Detailed analyses have been conducted in the fields of equipment wellness, spares administration, planned maintenance and structured organization. Still, many organizations fail to fulfill today's ambitious objective of guaranteeing operations while achieving high reliability and maintaining safety. A comprehensive method of maintenance assessment that considers key factors and indicators that influence the main goals of maintenance is still sought after. This paper discusses a new approach to performance-based maintenance management. The objective is to determine an integrated reliability management system that provides a method of aligning maintenance operations with the business strategy and monitoring performance of key technical, human and organization goals over time.
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    Ranking U.S. Army Generals of the Twentieth Century Using the Group Analytic Hierarchy Process
    (2005-07-26) Retchless, Todd; Golden, Bruce; Applied Mathematics and Scientific Computation; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    The group analytic hierarchy process (GAHP) is a mathematically based decision making tool that allows groups of individuals to participate in the decision making process. In this thesis, we use the GAHP and the expert opinions of 10 professional and amateur military historians to rank seven U.S. Army generals of the 20th Century. We use two methods to determine the priority vectors: the traditional eigenvector method and the recently introduced interval linear programming method. We consider the effects of removing outlier data and compare the rankings obtained by each method.