Utilizing reliability modeling to analyze United States Air Force officer retention. (March 2018)
- Record Type:
- Journal Article
- Title:
- Utilizing reliability modeling to analyze United States Air Force officer retention. (March 2018)
- Main Title:
- Utilizing reliability modeling to analyze United States Air Force officer retention
- Authors:
- Schofield, Jill A.
Zens, Christine L.
Hill, Raymond R.
Robbins, Matthew J. - Abstract:
- Highlights: Considered thousands of officer personnel records form the United States Air Force. Models for retention over several dozen career fields. Retention models focused on a 20-year time frame. Developed methods to combine retention models. Devised new metric for managerial use that provides insights into career fields requiring special attention. Abstract: The United States Air Force organizes its workforce around rank structure and work specialty codes (Air Force Specialty Codes (AFSCs)). Unlike civilian organizations, all active duty Air Force personnel start at the entry level ranks. The challenge is to develop and manage personnel to fill a variety of skill sets at a variety of ranks over a 20–30 year planning horizon. The Air Force uses sustainment lines to accomplish many of its manpower management goals. However, the current methodology for developing these sustainment lines is not statistically defensible based on the actual retention data and does not provide management a means to identify specialty codes of concern. Leveraging methods from reliability theory, we utilize survivability functions constructed from historical retention data to develop and demonstrate a statistically defensible methodology for creating the sustainment lines at the core of the Air Force personnel management system and provide a tool for managers to focus attention on potential workforce problem areas.
- Is Part Of:
- Computers & industrial engineering. Volume 117(2018)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 117(2018)
- Issue Display:
- Volume 117, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 117
- Issue:
- 2018
- Issue Sort Value:
- 2018-0117-2018-0000
- Page Start:
- 171
- Page End:
- 180
- Publication Date:
- 2018-03
- Subjects:
- OR in human resource planning -- Survivability models -- Military -- Analytics -- Personnel modeling
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2018.01.013 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11482.xml