Methods to Support the Project Selection Problem with Non Linear Portfolio Objectives, Time Sensitive Objectives, Time Sensitive Resource Constraints, and Modeling Inadequacies

Abstract

The United States Air Force relies upon information production activities to gain insight regarding uncertainties affecting important system configuration and in-mission task execution decisions. Constrained resources that prevent the fulfillment of every information production request, multiple information requestors holding different temporal-sensitive objectives, non-constant marginal value preferences, and information-product aging factors that affect the value-of-information complicate the management of these activities. This dissertation reviews project selection research related to these issues and presents novel methods to address these complications. Quantitative experimentation results demonstrate these methods significance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 13, 2018
Accession Number
AD1071864

Entities

People

  • Neil C. Ranly

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Business Administration
  • Computational Science
  • Computer Programming
  • Data Mining
  • Engineers
  • Evolutionary Algorithms
  • Genetic Algorithms
  • Information Systems
  • Integer Programming
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Operations Research
  • Optimization
  • Systems Engineering

Readers

  • Operations Research
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.