Defense Contract Management Command Staffing Assistance Model
Abstract
This set of models uses workload indicators to equitably estimate the total staffing resources needed at each DCMAO and DPRO. Regression analysis is used to identify those apparently logical workload indicators that have statistically valid correlations with staffing. It also quantifies the relationship between those valid indicators and the staffing. The average error is about 7 percent for the DCMAO model. For the DPRO model, the average error, about 11 percent, in higher because contractor activity at DPROs is less stable and the data is less reliable. The essence of the methodology is simply to estimate resources by comparing workload versus resources at all of the different activities. An a result, it in easy to visualize. The models use most automated indicators, track contractor business activity, and can take into account work that is not discretely measurable. They set a uniform, analytical approach for Headquarters DCMC, and DCMC district commanders, to compare workload, and to balance and allocate resources. The models also highlight patterns in staffing, and by using control limits they identify activities that are potentially over or under resourced. Judicious use of the models, coupled with other analyses or field reviews, can result in important savings and avoidances.... Workload indicators, Staffing resources, Personnel allocation, Regression analysis.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1992
- Accession Number
- ADA260238
Entities
People
- Edward J. Modic
- James M. Boyce
- Jeffrey R Curtis
Organizations
- Defense Logistics Agency