An optimal allocation of recruiter and facilities in the 12th Marine Corps District
Doll, James M.
Thomas, George W.
Read, Robert R.
MetadataShow full item record
This thesis studies category I-IIIA all-service accessions at the county level in the 12th Marine Corps District. A production function is presented to model Marine Corps accessions in the 12th District using Propensity weighted Qualified Military Available (PQMA) and the number of recruiters. The recruiting force is allocated according to this nonlinear production function and a "greedy" algorithm to obtain an integer, heuristically optimal allocation. Each recruiting facility's value is determined by its number of recruiters and the PQMA in the county. A 10% recruiting facility reduction plan is proposed by using an optimal facility allocation model that maximizes the pool of aptitude category I-IIIA potential enlistees. Finally, a determination of the "best" facility manning level is presented as a recruiter assignment decision aid. The recommendations are: Align the recruiting force to exploit the location of aptitude category I--IIIA individuals by using the county recruiter allocation model; use the facility reduction model which maximizes PQMA to close excess recruiting facilities; attempt to operate two recruiter facilities as the preferred manning level and consider further research on the optimal allocation of the entire Marine Corps recruiting force.
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Jarosz, Suzanne K. (Monterey, California: Naval Postgraduate School, 1999-03);The purpose of this thesis is to explore the effects of the geographic location of recruiters and recruiting facilities on Navy enlistment supply. Recent shortfalls in goal attainment have spurred the call for additional ...
Salmeron, Javier; Buttrey, Samuel E. (Monterey, California. Naval Postgraduate School, 2018-02); NPS-OR-18-003This research has developed and computationally implemented the “Navy Recruiter Prediction and Optimization Model” (NRPOM). NRPOM can assist Navy Recruiting Command (NRC) with the assignment of recruiters to geographical ...
Jones, Julia W. (Monterey, California. Naval Postgraduate School, 2010-03);This study examines the knowledge, views, and experiences of Navy recruiters and recruiting supervisors regarding the Navy Recruiting Simulation Tool (NRST). Also known as SIMmersion, NRST is an interactive, role-playing ...