ShadowObjects has experience in the Acquisition and Sustainment phases. This includes reliability and maintainability (R&M), Level of Repair (LOR), Logistics Support Analysis (LSA), Reliability Centered Maintenance (RCM), and design interface support. Including repair for advanced composite material primary structural components.
We perform systems analysis for the integration of NAVY, Air Force and USCG maintenance requirements for achieving/maintaining required reliability, quality assurance requirements, and environmental and safety requirements.
Other services include;
- Corrective actions, design and support system changes
- Developed repair schemes, rework procedures, maintenance procedures
- Engineering instructions, design changes, inspection bulletins
- Preventative maintenance requirements
- Design requirements for level of repair analysis, failure modes and effects analysis the analysis of preliminary and full scale development designs to identify potential R&M and supportability problems and developed design alternatives.
ShadowObjects engineers support a wide range of requirements to DoD and commercial customers. SO provides full spectrum of engineering support and capabilities, including program management; systems engineering, technical analysis, and integration; modeling and simulation; sustainment engineering; and qualification, certification, and test and evaluation.
Performance Based Logistics
Since 2000, DoD had consistently directed that Performance Based Logistics (PBL) be the preferred acquisition and sustainment methodology that program offices use. With shrinking budgets, and constantly changing resource allocations, the performance and use of existing systems and capabilities becomes critical to our national security. PBL solutions offer the best overall construct for long-term sustainment support for systems and subsystems. Prior to implementation of sustainment concepts SO runs dynamic simulation to demonstrate the greatest efficiency, performance and cost benefit possible.
ShadowObjects engineers have been supporting federal clients for years, watching the evolution of technology development, political decision impacts on program offices budgets and resource allocations, and trends in contracting. Our expert analysts are trained and educated in the area of predictive analytics, and are currently taking the data that exists and using it to support our customers in making the best business decision they have the power to make with the constantly changing environment our program offices are finding themselves in.
Use of data mining in order to predict trends an in our current markets, technology areas, and organizations. Apply predictive analytics to any type of “unknown” whether it is in the past, present or future. Capture relationships between explanatory variables and the predicted variables from past occurrences.
Variety of techniques from statistics, modeling, machine learning, and data mining to analyze current and historical facts to make predictions about future. Our predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Assessment of risk or potential associated with a particular set of conditions, guiding decision making to enhance business processes and increase probability of future success.