Global audiences are usually conceived as abstract collective individuals commoditized by TNMCs. (13) However, in the networked communities, the global audiences have become "users" of popular cultural products who are leaning forward rather than leaning back as they choose, share, and recreate original media content.
In the past, the urge to attain them was mainly satisfied without much engagement but was fulfilled with the help of the national mass media and TNMCs. These media institutions occupied central positions in the structure that shapes the motivations and actions to construct cultural relations.
Air Force Instruction (AFI) 21-101, Aircraft Equipment and Maintenance Management, defines the MC, TNMCS, and TNMCM metrics and their uses.
The TNMCS rate is the time aircraft are in not mission capable supply (NMCS) plus not mission capable both maintenance and supply (NMCB) status.
Active duty aud ARC fleets use the same methodology for TNMCS once the MC standard is established.
FY 2007 C-5 Maintenance Standards and Calculation Methodologies (4) Active Duty ARC AFRC ANG MC Standard 75 50 50 47 Method MAJCOM Input Equation 3 Equation 1 Equation 2 TNMCS Standard 8 8 Method Equation 4 Equation 4 TNMCM Standard 24 50 Method Equation 6 Equation 6 Table 2.
The examination of the standards calculation methodology suggests that the C-5 MC, TNMCM, and TNMCS
standards fall short in the areas of accuracy, objectivity, and ease.
Air Force SCM Performance Measures Performance Level 1 Level 2 Level 3 Metrics (Strategic) (Operational) (Tactical) Net Operating Results X Deficiency Report x MICAP Hours X Customer Wait Time X X MC Rates X X TNMCS
X X TNMCM X X System Availability X X X O&S Costs X X X Issue Effectiveness X Demand Forecast X Back Order Age X Cost of Goods Sold X X Table 7.
We used the Supply Chain Operational Performance Evaluator (SCOPE) simulation model to quantify the relationship between TNMCS and the most popular supply measures.
Supply measures and TNMCS data were collected from each simulation for 1,000 days and for 25 different iterations.
FAMMAS uses time-series forecasting techniques to predict overall MC rates for each MDS, using past, present, and future spares funding levels, along with the last 3 years of historical TNMCS and TNMCM data.
Specifically, the FAMMAS model does not incorporate any logistics or operations-related factors into its prediction computations of MC rates, other than historical TNMCM and TNMCS data that act as adjustment factors in the model.