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

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