Masters Theses
Date of Award
8-2017
Degree Type
Thesis
Degree Name
Master of Science
Major
Industrial Engineering
Major Professor
Andrew J. Yu
Committee Members
James L. Simonton, Janice Tolk
Abstract
Team formation is one of the key stages in project management. The cost associated with the individuals who form a team and the quality of the tasks completed by the team are two of the main concerns in team formation problems. In this study, two mathematical models to optimize simultaneously cost and quality in a team formation problem are developed. Because team formation problem arises in uncertain environment, different scenarios are defined for the time requirement of the project. Two-stage stochastic programming and multi-stage stochastic programming are applied to solve the first and the second model respectively. The presented models and their solution methodology can be applied in different types of projects. In this study, a project that involves an overhaul of an aircraft is presented as a case study in which the goals are to minimize staffing costs and maximize the reliability of the aircraft by staffing workforce with high competency.
Recommended Citation
Rahmanniyay, Fahimeh, "TWO MULTI-OBJECTIVE STOCHASTIC MODELS FOR PROJECT TEAM FORMATION UNDER UNCERTAINTY IN TIME REQUIREMENTS. " Master's Thesis, University of Tennessee, 2017.
https://trace.tennessee.edu/utk_gradthes/4896
Included in
Industrial Engineering Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons