Date of Award
3-2021
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Systems Engineering and Management
First Advisor
Justin D. Delorit, PhD
Abstract
Facility and built infrastructure asset management are necessary functions of any organization that utilizes buildings to operate their businesses. However, most organizations require facility managers to ensure the successful operation of their assets without providing sufficient resources to accomplish this task. Therefore, in resource-scarce environments, facility managers require data-driven solutions to manage their assets and make the best decisions. Facility managers need novel solutions to help make asset life-cycle decisions. This research provides such a solution. Capitalizing on available data, a technical performance metric is created, allowing facility managers to calculate their assets' operational performance. This performance metric provides a criterion to make manufacturer selection decisions: choosing one manufacturer over another and picking the best brand for use in their facilities. The performance metric that informs manufacturer selection decisions provides a basis for making initial procurement decisions, thereby solving one of the life-cycle decisions facility managers must make. Performance is calculated utilizing basic attribute and condition assessment data. Leveraging real-world data from the United States Air Force, case studies are performed to calculate the performance of assets, show the utility of an organization making or validating manufacturer selection decisions, and to show the effect of local climate on asset performance.
AFIT Designator
AFIT-ENV-MS-21-M-210
DTIC Accession Number
AD1133800
Recommended Citation
Brown, Sarah L., "Investigating Manufacturer Selection Decisions for Built Infrastructure Assets Using a Technical Performance Metric" (2021). Theses and Dissertations. 4999.
https://scholar.afit.edu/etd/4999
Included in
Civil Engineering Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons