Optimizing Navy Recruiter Allocation
Abstract
Navy Recruiting Command (NRC) assigns recruiters to recruiting stations across the country. A stations demographics, historical data, and number of recruiters assigned are important considerations that affect the number of recruits signed. Naturally, some stations are more suitable for signing recruits than others. The current allocation process used by NRC is guided primarily by previous market share from each station. This process fails to consider unique characteristics about a station and the number of recruiters invested in order to achieve the result. Consequently, some stations might be underperforming relative to their potential while others might be able to perform at nearly the same level with fewer recruiters. This thesis proposes a model that estimates the number of recruits signed by a station as a function of the number of recruiters assigned with parameters that capture the unique characteristics of each station. The estimates from this model inform a mathematical optimization model whose objective maximizes expected recruits signed. The results of the optimization give a solution for recruiter allocation. We identify an allocation solution that results in more expected recruits signed than the current number of recruits signed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2023
- Accession Number
- AD1213584
Entities
People
- Joshua P. Murrell
Organizations
- Naval Postgraduate School