Scala, Natalie Michele and Kutzner, Richard and Buede, Dennis and Ciminera, Christopher and Bridges, Alicia
(2012)
Multi-objective Decision Analysis for Workforce Planning: A Case Study.
In: Industrial and Systems Engineering Research Conference, May 2012 - May 2012, Orlando, Florida, USA.
Abstract
The United States Department of Defense (DoD) engages in complex decision making on a daily basis, in terms of mission support and workforce management. Decision analysis tools are employed to evaluate and support the best course of action. In particular, multi-objective decision making (MODA) is a robust decision technique that evaluates objectives and measures in terms of value to select from a set of alternatives. This paper examines workforce planning at a DoD Agency through the use of MODA and examines the ratio of government employees (GOV) and contractors (CON) for an engineering related work role. MODA is used to identify influences to the assignment of a GOV or CON to an open position and to determine the appropriate ratio of GOV and CON employees for the work role. Results will be used to provide critical decision support to effectively manage budget and resources while meeting work requirements and agency mission with the best possible skill set.
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Details
| Item Type: |
Conference or Workshop Item
(Paper)
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| Status: |
Published |
| Creators/Authors: |
|
| Date: |
May 2012 |
| Date Type: |
Publication |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Journal or Publication Title: |
Proceedings of the Industrial and Systems Engineering Research Conference |
| Publisher: |
Institute of Industrial Engineers |
| Place of Publication: |
Orlando, Florida |
| Event Title: |
Industrial and Systems Engineering Research Conference |
| Event Dates: |
May 2012 - May 2012 |
| Event Type: |
Conference |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Industrial Engineering |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
Multiple, objective, decision, analysis, multiple, criteria, decision, analysis, workforce, planning, decision, analysis, government |
| Date Deposited: |
20 Aug 2014 19:23 |
| Last Modified: |
24 Sep 2020 20:14 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/22686 |
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