TY - JOUR
T1 - The AMEDD uses goal programming to optimize workforce planning decisions
AU - Bastian, Nathaniel D.
AU - McMurry, Pat
AU - Fulton, Lawrence V.
AU - Griffin, Paul M.
AU - Cui, Shisheng
AU - Hanson, Thor
AU - Srinivas, Sharan
N1 - Publisher Copyright:
© 2015 INFORMS.
PY - 2015/7/1
Y1 - 2015/7/1
N2 - The mission of the Army Medical Department (AMEDD) is to provide medical and healthcare delivery for the U.S. Army. Given the large number of medical specialties in the AMEDD, determining the appropriate number of hires and promotions for each medical specialty is a complex task. The AMEDD Personnel Proponency Directorate (APPD) previously used a manual approach to project the number of hires, promotions, and personnel inventory for each medical specialty across the AMEDD to support a 30-year life cycle. As a means of decision support to APPD, we proffer the objective force model (OFM) to optimize AMEDD workforce planning. We also employ a discrete-event simulation model to verify and validate the results. In this paper, we describe the OFM applied to the Medical Specialist Corps, one of the six officer corps in the AMEDD. The OFM permits better transparency of personnel for senior AMEDD decision makers, whereas effectively projecting the optimal number of officers to meet the demands of the current workforce structure. The OFM provides tremendous value to APPD in terms of time, requiring only seconds to solve rather than months; this enables APPD to conduct quick what-if analyses for decision support, which was impossible to do manually.
AB - The mission of the Army Medical Department (AMEDD) is to provide medical and healthcare delivery for the U.S. Army. Given the large number of medical specialties in the AMEDD, determining the appropriate number of hires and promotions for each medical specialty is a complex task. The AMEDD Personnel Proponency Directorate (APPD) previously used a manual approach to project the number of hires, promotions, and personnel inventory for each medical specialty across the AMEDD to support a 30-year life cycle. As a means of decision support to APPD, we proffer the objective force model (OFM) to optimize AMEDD workforce planning. We also employ a discrete-event simulation model to verify and validate the results. In this paper, we describe the OFM applied to the Medical Specialist Corps, one of the six officer corps in the AMEDD. The OFM permits better transparency of personnel for senior AMEDD decision makers, whereas effectively projecting the optimal number of officers to meet the demands of the current workforce structure. The OFM provides tremendous value to APPD in terms of time, requiring only seconds to solve rather than months; this enables APPD to conduct quick what-if analyses for decision support, which was impossible to do manually.
KW - Goal programming
KW - Military medicine
KW - Mixed-integer linear programming
KW - Multiple-criteria decision making
KW - Stochastic optimization
KW - Workforce planning
UR - http://www.scopus.com/inward/record.url?scp=84940391992&partnerID=8YFLogxK
U2 - 10.1287/inte.2014.0779
DO - 10.1287/inte.2014.0779
M3 - Article
AN - SCOPUS:84940391992
SN - 0092-2102
VL - 45
SP - 305
EP - 324
JO - Interfaces
JF - Interfaces
IS - 4
ER -