Project portfolio evaluation and selection using mathematical programming and optimization methods

<p>Project portfolio selection is an essential process for portfolio management and plays an important role in accomplishing organizational goals. This research explores the feasibility of developing a project portfolio selection tool by using mathematical programming and optimization models, specifically 0-1 integer programming (one objective portfolio) and goal programming (multiple objectives portfolio). These methods select the set of projects which deliver the maximum benefit (e.g., net present value, profit, etc.) represented for objective functions subjected to a series of constraints (e.g., technical requirements and/or resources availability) considering the scheduling of selected projects in a planning horizon, interdependence relationship among projects (e.g., complementary projects and mutually exclusive projects) and especial cases like mandatory and ongoing projects. ^ Based on the proposed model, a Decision Support System (DSS) will be developed and tested for accuracy, flexibility and ease of use. This computational tool will be designed for decision makers and users that are not familiar with mathematical programming models.</p>

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Technology

Year

2014

Author dc:creator

• Caballero, Hugo

Contributors dc:contributor

• Dr. Edie. K. Schmidt
• Dr. Mary Johnson
• Dr. Chad Laux
• Dr. Jonathan Davis

• Operations
• Research
• Business Administration, Management, and Operations

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/237

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-1256