Integrated Sustainment
Corrosion Control
Case Studies
GSA Schedules
White Papers
Product Life Cycle Support & Management
Integration & Test
Electronic Product Solutions
Data Visualization
Space/Ground Operations Support & Simulation
Satellite/Launch Operations Support
Configuration & Data Management
Decision Support
Software/Hardware Engineering
System Analysis
System Support Engineering
Technical Order/Document Digitization
|
Integrated Sustainment (IS) starts with identifying the primary operational elements of a system to include:
- Life Cycle Management
|
- Maintenance
|
- Personnel Management
|
- Vendor Repair
|
- Resource Management
|
Problem: Stovepipe Operations
Solution: Optimized Enterprise through Automation
Many programs and systems today are inefficient and ineffective due to silos of data, uncoordinated processes and resources, stovepiped operations and limited quality checks - this translates to redundant operations, escalating costs and negative impact on mission readiness. Our Integrated Sustainment approach is based on the premise that the key to effective sustainment decisions is astute situational awareness of available resources combined with functional expertise; and that astute situational awareness depends on organized, current and accurate data coupled with coordinated implementation, policies and procedures. In addition, our sustainment model includes software-enabled efficient and rational processes to transform the data into meaningful information, offered to the user at appropriate intervals. As a result, the user is kept informed on key parameters as to the state of health, both near term and as projected into practical time horizons. Click on the links below to find out more.
 | Stovepiped Operations: inefficent and ineffective use of resources. |
 | Economic, Effective, Efficient, Enterprise Integrated Sustainment (E4IS) |
Functional Expertise/Meaningful Metrics
An effective and efficient proactive sustainment program starts with analysis of the system or network architecture to identify single-point failure potentials, inefficiences and redundancy opportunities. Utilizing Total Life Cycle Systems Management (TLCSM) and Performance-based Logistics (PBL) principles as well as Earned-Value Management (EVM) disciplines, it is critical to develop and establish performance thresholds, metrics and goals for key system health metrics such as Mean Down Time (MDT), Mean Time to Repair (MTTR), Turn-Around Time (TAT), and Mean Time Between Critical Failures (MTBCF), but the formulas for calculating these metrics must have universal acceptance.
Available operations, logistics, maintenance, failure and cost contribution data is compiled and consolidated into a single universal set. This data is coordinated with companion software systems and component metrics to develop predictive models that both quantitatively and qualitatively analyze data for situational awareness, graphical display and collaborative decision support systems. Once the algorithm is established and can predict such parameters as MDT, MTTR, MTBCF and MTBF, the maintenance plan can be optimized. Key parameters are adjusted to incorporate system baseline changes, operational requirements, and trend analysis from unscheduled and scheduled maintenance activities. E&TS IS systems then identify where the Integrated Sustainment suite of people, processes, practices, procedures and tools have the greatest Operational Availability, Ao, and Mission Readiness impact.
Flattening/Extending the Sustainment Curve
E&TS has a long and rich history managing and reducing the lifecycle supportability costs of C4ISR programs. Utilizing our Economic, Effective, Efficient, Enterprise Integrated Sustainment (E4IS) suite, we flatten and extend the sustainment cost curve over time with powerful PLM tools, obsolescence management, systems engineering, RMA (Reliability, Maintainability, Availability) analysis, and dynamic processes and practices that provide real-time visibility into the the health and welfare of your program.
Our E4IS suite delivers the real-time ability to:
- Forecast the physical and operational maintenance environment of supported systems.
- Evaluate the functional characteristics of C4ISR systems and networks as they relate to weapon systems, their complexities, and the obstacles and enablers to effective sustainment of the system or network.
- Assess human resources and personnel requirements and constraints in both quantity and skill levels, and the use of available contractor support.
- Compile information and requirements for logistics footprint reductions, deployment requirements, and other factors affecting the in-theater operational concept.
- Initiate the development of operating and support reliability objectives and their corresponding benefits and resource requirements, taking into account the performance histories of prior systems or systems of similar capability where feasible.
- Integrate technology to facilitate the use of embedded diagnostics, prognostics, and similar maintenance enablers.
- Initiate the compilation and assessment of data on the projected sustainment demand, standardization of platforms, and required support equipment.
- Develop Life Cycle Cost estimates and control costs across the program.
- Analyze alternatives to include alternative operating and system support concepts, with specific consideration of performance-based options.
- Identify key performance and related support parameters as they relate to availability, reliability, maintainability, interoperability, manpower, and deployment footprint the overall capability of the system to perform and endure in the required mission operational environment.
- Perform market analysis for system and product support capabilities (public and private) to define the extent and scope of opportunities for achieving support objectives through engineering and viable product support strategies. Analysis should include:
- Elements of support currently provided (for new, legacy or existing systems).
- Current measures used to evaluate support effectiveness.
- Diminishing Manufacturing Sources and Material Shortages (DMSMS).
- Current efficacy of required support.
- All existing support data across the integrated logistics support (ILS) elements.
- Assessment of existing technologies and associated support that impacts the new systems under development or systems to be introduced.
|