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dc.contributor.advisorJohn B. Miller.en_US
dc.contributor.authorWooldridge, Stephen C. (Stephen Craig), 1967-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.en_US
dc.date.accessioned2005-05-19T14:37:54Z
dc.date.available2005-05-19T14:37:54Z
dc.date.copyright2001en_US
dc.date.issued2002en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/16798
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, February 2002.en_US
dc.descriptionIncludes bibliographical references (p. 145-152).en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.description.abstractCapital facilities - land and buildings - provide a long-standing environment in which public and private enterprise works, communicates, and thrives. Aligning how facilities "fit" with the dynamic demands of enterprise necessitates continual investment in maintenance, modernization, and development. Conventional tools - condition assessment and master planning - provide a means for measuring this "fit" and producing related investment needs. These tools are often applied independently with a singular focus: condition assessment on physical systems and master planning on sizing and function. The resulting investment needs and condition metrics become fragmented elements of a larger (and often unstructured) investment context that must also consider funding realities and other strategic choices. Exceedingly the methods of collecting and managing assessment data are emphasized, while linkages to capital planning and decision-making remain narrowly focused and limited in scope. The result is simply greater volumes of more "bad news", as facility decision-makers are ill equipped to effectively synthesize numerous requirements and objectively understand the effects of investment decisions. This research develops and applies a new approach to facility investment strategy. The approach links the products of condition assessment and master planning, as well as ongoing facility costs, within a dynamic capital planning environment, where tradeoffs between present funding decisions and future conditions can be comprehensively explored.en_US
dc.description.abstract(cont.) Central to the approach is a conceptual framework that integrates investment needs and condition data within a broader planning context. A prototype tool is developed with the aid of information technology as a step toward implementation. The tool employs system-based cost models, aggregated deterioration models, financial-based condition metrics, and other facility cost modeling techniques to estimate present and future investment requirements and facility conditions. The tool is applied to two real facility portfolios within the U.S. Army Medical Department to demonstrate the feasibility and robustness of developing and evaluating investment strategies that balance capital, condition, and other strategic concerns. The application suggests a new direction for public and institutional capital allocation policy and asset accountability.en_US
dc.description.statementofresponsibilityby Stephen C. Wooldridge.en_US
dc.format.extent170 p.en_US
dc.format.extent2263633 bytes
dc.format.extent2263386 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectCivil and Environmental Engineering.en_US
dc.titleBalancing capital and condition : an emerging approach to facility investment strategyen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.identifier.oclc50436492en_US


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