Defense Acquisition Research Journal Issue 95
Use of Factors in Development Estimates: Improving the Cost Analyst Toolkit
https://www.dau.edu
subcategory comparison. The definition of statistical significance used throughout the analysis will be in reference to an α = 0.05 level. This means that in order for the results to be deemed statistically significant, there is less than a 5% chance of concluding that a difference exists where there is no actual difference. Results Factor development in stage one of the analysis applies Equation 1 to the dataset. More specifically, the eight level two WBS elements identified in Table 1 are combined with the final 102 program dataset. For example, a factor for ST&E (one of the WBS elements identified in Table 1) is developed for the C-17 program (one of the 102 programs identified in Appendix A) uti lizing Equation 1. It is important to note that within an individual program, there may be multiple Cost Data Summary Reports (CDSR) reported in the CADE database. These reports serve as the primary means within the DoD to collect actual data reported by contractors in performing acquisition contracts. Therefore, the 102 programs used for analysis expands to 443 individual cost reports from which new, unique cost factors are created across the eight common WBS elements.
TABLE 4. FACTORS BY CATEGORY TYPE
Category
Total
Category
Total
Category
Total
Unique Factors Created
Development Type
Contract Type
443
Commodity Type
Commercial Derivative 4
CPAF
74
Modification
135
CPFF
39
Aircraft
245
Electronic/ Automated Software
118
New Design
150 CPIF
66
Missile
22
Prototype
9
Cost-Other
135
Ordnance
12
Subsystem
105
FFP
27
New Mission Design Series (MDS) Designator
Space
36
40 FPI
20
Unmanned Aerial Vehicle (UAV)
10
FPIF
19
Service
6
Contractor Type
Air Force
196 Fixed-Other
94
Unknown
57
Prime
308 Army
Subcontractor
135
Multiple
24
Navy (includes Marine Corps)
129
50
Defense ARJ, January 2021, Vol. 28 No. 1 : 40-70
Made with FlippingBook - Online Brochure Maker