Andere Kunden interessierten sich auch für
![Nelder Mead Trained Neural Networks For Short Term Load Forecasting]( "Nelder Mead Trained Neural Networks For Short Term Load Forecasting")
Nelder Mead Trained Neural Networks For Short Term Load Forecasting32,99 €![Artificial Neural Networks (ANNs) and GIS for flood forecasting]( "Artificial Neural Networks (ANNs) and GIS for flood forecasting")
Artificial Neural Networks (ANNs) and GIS for flood forecasting46,99 €![Nimble: An Intergrid for Weather Forecasting]( "Nimble: An Intergrid for Weather Forecasting")
Nimble: An Intergrid for Weather Forecasting42,99 €![Nurses' Attitude, Practices and Non-Pharmacologic Headache Management]( "Nurses' Attitude, Practices and Non-Pharmacologic Headache Management")
Nurses' Attitude, Practices and Non-Pharmacologic Headache Management26,99 €![Aspects of energy management implementation in municipal facilities]( "Aspects of energy management implementation in municipal facilities")
Aspects of energy management implementation in municipal facilities26,99 €![Water Management Study for Rice Crop Using Staggered Growing Season]( "Water Management Study for Rice Crop Using Staggered Growing Season")
Water Management Study for Rice Crop Using Staggered Growing Season23,99 €![Project Management in the Construction of Oil and Gas Facilities]( "Project Management in the Construction of Oil and Gas Facilities")
Project Management in the Construction of Oil and Gas Facilities32,99 €
The affordable effectiveness of commercial, civil, and military systems must be managed through their life cycles. Once the performance baseline is defined and instantiated, the challenge during the development, production, and utilization life cycle phases is to affordably sustain the physical system baseline. This baseline continuously evolves in response to external influences such as; frequent and asynchronous obsolescence of system elements, changing requirements (mission needs, schedule and funding), and changing policy and regulations (i.e. security, export laws and safety standards). This research specifically addresses the impact of asynchronous obsolescence of system elements on overall system effectiveness and cost during its operational and support life cycle phases. An overview of a system obsolescence forecasting model, se-Fly Fisher, is detailed. This model uses technology curves of individual system elements (actual parts) for an understanding of obsolescence at the lowest level. The se-Fly Fisher model provides tactical insight of HOW often the system baseline should change, WHAT elements must change and HOW MUCH performance potential is realized.