A portfolio decision analysis strategic planning tool was developed for the Facilities Management Office at the University of Arkansas. The tool provides information to support budget allocation decisions based on their Strategic Planning Project List, project attributes (e.g, seat utilization, scheduling preferences, and sustainability rank), and budget constraints. The projects are evaluated using multiobjective decision analysis. We introduce dynamic value functions, which vary the range of the value measures based on the planning horizon, to evaluate the projects). We determine facilities portfolios based on the project values and constraints using Linear Programming. In addition, insightful reports are generated, which provide the stakeholders and decision makers visibility in the data trends that might affect the budget allocation in the future (e.g., student enrollment, fees increase).
","abstract_html":"<p>A portfolio decision analysis strategic planning tool was developed for the Facilities Management Office at the University of Arkansas. The tool provides information to support budget allocation decisions based on their Strategic Planning Project List, project attributes (e.g, seat utilization, scheduling preferences, and sustainability rank), and budget constraints. The projects are evaluated using multiobjective decision analysis. We introduce dynamic value functions, which vary the range of the value measures based on the planning horizon, to evaluate the projects). We determine facilities portfolios based on the project values and constraints using Linear Programming. In addition, insightful reports are generated, which provide the stakeholders and decision makers visibility in the data trends that might affect the budget allocation in the future (e.g., student enrollment, fees increase). </p>","abstract_has_math":false,"creators":["Vargas Rojas, Luis B."],"institution":null,"degree_name":"Master of Science in Industrial Engineering (MSIE)","degree_level":"Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Pohl, Edward A.","Rossetti, Manuel D."],"advisors":["Parnell, Gregory S."],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-12-01T08:00:00Z","date_published":"2014-12-01T08:00:00Z","updated_at":"2026-07-24T00:59:15Z","subjects":["Construction Decision","Industrial Engineering","MODA","Operations Research","Portfolio Decision Analysis","Value Hierarchy","Business Administration, Management, and Operations","Higher Education Administration","Operational Research"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.uark.edu/etd/2034","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Pohl, Edward A.","Rossetti, Manuel D."]},{"key":"dc:contributor.advisor","label":"Advisor","values":["Parnell, Gregory S."]},{"key":"dc:creator","label":"Author","values":["Vargas Rojas, Luis B."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2024-02-06T08:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Industrial Engineering (MSIE)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Construction Decision","Industrial Engineering","MODA","Operations Research","Portfolio Decision Analysis","Value Hierarchy","Business Administration, Management, and Operations","Higher Education Administration","Operational Research"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.uark.edu/etd/2034"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["A portfolio decision analysis strategic planning tool was developed for the Facilities Management Office at the University of Arkansas. The tool provides information to support budget allocation decisions based on their Strategic Planning Project List, project attributes (e.g, seat utilization, scheduling preferences, and sustainability rank), and budget constraints. The projects are evaluated using multiobjective decision analysis. We introduce dynamic value functions, which vary the range of the value measures based on the planning horizon, to evaluate the projects). We determine facilities portfolios based on the project values and constraints using Linear Programming. In addition, insightful reports are generated, which provide the stakeholders and decision makers visibility in the data trends that might affect the budget allocation in the future (e.g., student enrollment, fees increase).
"]},{"key":"dc:title","label":"Title","values":["Strategic Planning Tool Development using Portfolio Decision Analysis"]}]}],"canonical_facts":{"dc:contributor":["Pohl, Edward A.","Rossetti, Manuel D."],"dc:contributor.advisor":["Parnell, Gregory S."],"dc:creator":["Vargas Rojas, Luis B."],"dc:date":["2014"],"dc:date.available":["2024-02-06T08:00:00Z"],"dc:description.abstract":["A portfolio decision analysis strategic planning tool was developed for the Facilities Management Office at the University of Arkansas. The tool provides information to support budget allocation decisions based on their Strategic Planning Project List, project attributes (e.g, seat utilization, scheduling preferences, and sustainability rank), and budget constraints. The projects are evaluated using multiobjective decision analysis. We introduce dynamic value functions, which vary the range of the value measures based on the planning horizon, to evaluate the projects). We determine facilities portfolios based on the project values and constraints using Linear Programming. In addition, insightful reports are generated, which provide the stakeholders and decision makers visibility in the data trends that might affect the budget allocation in the future (e.g., student enrollment, fees increase).
"],"dc:identifier":["https://scholarworks.uark.edu/etd/2034"],"dc:subject":["Construction Decision","Industrial Engineering","MODA","Operations Research","Portfolio Decision Analysis","Value Hierarchy","Business Administration, Management, and Operations","Higher Education Administration","Operational Research"],"dc:title":["Strategic Planning Tool Development using Portfolio Decision Analysis"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science in Industrial Engineering (MSIE)"]},"updated_at":"2026-07-24T00:59:15Z"}