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  5. TWO MULTI-OBJECTIVE STOCHASTIC MODELS FOR PROJECT TEAM FORMATION UNDER UNCERTAINTY IN TIME REQUIREMENTS
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TWO MULTI-OBJECTIVE STOCHASTIC MODELS FOR PROJECT TEAM FORMATION UNDER UNCERTAINTY IN TIME REQUIREMENTS

Date Issued
August 1, 2017
Author(s)
Rahmanniyay, Fahimeh  
Advisor(s)
Andrew J. Yu
Additional Advisor(s)
James L. Simonton
Janice Tolk
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/41077
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.

Subjects

Team formation

Project management

Multi-objectvie

Stochastic programmin...

Competency

Disciplines
Industrial Engineering
Other Operations Research, Systems Engineering and Industrial Engineering
Degree
Master of Science
Major
Industrial Engineering
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

Thesis0713.docx

Size

2.72 MB

Format

Microsoft Word XML

Checksum (MD5)

8de4ebde2476664c1dd2a7a11a2b3568

Thumbnail Image
Name

Thesis0723.pdf

Size

2.15 MB

Format

Adobe PDF

Checksum (MD5)

f30b175cae3adcbc7a8b3163f7a89a58


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