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54 Military Jet Engine Acquisition addition, the designer can also incorporate an optimal combination of new technologies without compromising their contribution to the end product by having to adapt them to constraints imposed by an existing engine core. To assess the most challenging developments (i.e., new centerline engines), we created a binary flag.4 The turbofan engines in our sample with new centerlines are TF30P-3, TF30P-8, TF39A-1, F100PW-100, F101GE-100, F109GA-100, F119PW-100, F120GE-100, and F404GE-400. Series Order in a Family of Engines. To represent the efficiency of the development process for derivative engines, we adapted an ana- lytical technique from production cost analysis. In production, a common observation is that productivity improves as the workforce gains experience producing an item. This observation is the so-called cost improvement effect. The cost is typically related to the number of the unit in the production run. Therefore, we sought to develop an analogous measure for engine development. Such an index is relatively straightforward; it is based on the series order within a family. Within each engine family (e.g., TF34), a series of dash numbers/variants can be produced (e.g., TF34-2 and TF34- 100). Based on the contract award date, every variant within an en- gine family is ordered sequentially and numbered according to that sequence. Engines with identical contract award dates receive the same number. For the TF34 example, TF34-2 would have a series or- der of 1 (first in the series) and TF34-100 would have a series order of 2 (second in the series). Programmatic Parameters. The final set of general parameters in- cludes measures that account for programmatic issues. These factors address issues related to the way in which programs are operated. Factors that fall into this category include changes in the engine de- sign, management turnover, the particular service (Air Force or Navy), testing requirements, and other factors. For example, service ______________ 4A binary flag (1 or 0), or dummy variable, is a statistical method used to distinguish programs with specific characteristics versus programs without the characteristics. Here, all the engines that were assessed as new centerline developments were coded with a 1 and the remainder of the engines were coded with a 0.PDF Image | Military Jet Engine Acquisition Technology Basics and Cost-Estimating Methodology
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