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Multi-objective Decision Analysis for Workforce Planning: A Case Study

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.

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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)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Scala, Natalie Michelenscala@towson.edunms330000-0003-2851-134X
Kutzner, Richard
Buede, Dennis
Ciminera, Christopher
Bridges, Alicia
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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