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Decision-Support Technologies for Weapon System Sustainment Processes and Life Cycle Investment

Description:

OBJECTIVE: The objective is to develop technologies which extend sustainment modeling and simulation capabilities to support improved investment decisions throughout the weapon system lifecycle. DESCRIPTION: This will be accomplished by providing comprehensive, structured, integrated, and repeatable simulation capabilities to model detailed sustainment processes and factors encompassing unit maintenance, supply chain management, depot operations, constrained resources, and reliability, availability, maintainability, and supportability (RAMS). This will provide the capabilities and support necessary to ensure that interactions and dependencies across the enterprise are captured and addressed within the contexts of overall system readiness and cost. Simulation plays a critical and increasing role in analysis, determination, and verification of requirements for system capabilities and readiness not only during initial acquisition phases, but also throughout modernization and sustainment. A thorough, structured, and integrated simulation capability that is applicable across the enterprise and that can address the spectrum of sustainment issues is therefore critical to inform and support investment decisions throughout the entire life cycle. Reporting of system availability, reliability, and cost have been mandated as key performance parameters (KPPs) and system attributes (KSAs) by the Office of Secretary of Defense (OSD). Current simulation tools such as the Logistics Composite Model (LCOM) now offer capability to generate the required KPP and KSA metrics. While these simulation tools are detailed and community accepted, they are specialized and focused on unit maintenance, resources, and RAMS. Other tools may address supply chain and depot operations, but do so only with a corresponding specialized and narrow focus on sustainment. Still other tools may address a wide range of factors, but they lack sufficient detail for the credible results needed for sustainment planning in a budget constrained environment. A new simulation capability is needed which combines simulation tools for the detail required for credible results and integrates a thorough capability to model multiple processes and factors including unit maintenance (scheduled and unscheduled), supply chain management, depot operations, management and planning (including scheduling), resource constraints (spares, manpower, support equipment, facilities), and system reliability, maintainability, availability, and supportability (RAMS). This would enable a robust and repeatable capability to ensure that technology, system, and process initiatives can be evaluated, analyzed, and optimized with an integrated strategy to provide the greatest return for budgets under ever increasing scrutiny and pressure for downsizing. It would also provide capability to support analysis and initiatives such as level of repair analysis (LORA), and efforts supporting depot operations such as High Velocity Maintenance (HVM). Current modeling and simulation tools and applications offer critical capabilities that are specialized, effective, proven, and accepted. Leveraging these successful and credible tools for enhancement and integration should be considered and maximized where practicable. The intended application should make use of existing software standards and offer data commonality amongst tools, innovative visualization, and collaborative interfaces amongst users and other simulation tools. Existing workstations with standard operating systems is the desired platform. Familiarity with existing AF maintenance and logistic data systems and relevant modeling and simulation tools is desired. PHASE I: The researcher will identify the new simulation capabilities and requirements, and develop an integration concept for the new methodology. The researcher will identify measures and components, and outline the structured approach to integration and operation. The researcher will develop a proof of concept demonstration of feasibility. PHASE II: The researcher will further design, develop, document, and demonstrate a structured and integrated simulation capability to extend sustainment modeling and simulation capabilities to support improved sustainment decisions throughout the weapon system lifecycle. The researcher shall develop and provide a demonstration of the simulation capability. The researcher will develop a plan for potential Phase III efforts. PHASE III: The Phase III product will be a robust, off-the-shelf, collaborative and integrated simulation capability for use in evaluating process improvements and sustainment enhancement options for defense and commercial product research, development, operations, and manufacturing. REFERENCES: 1. Aeronautical Systems Center Logistics Composite Model (Defense Acquisition University) https://dap.dau.mil/aphome/das/Lists/Software%20Tools/DispForm.aspx?ID=53. 2. High Velocity Maintenance (Air Force Magazine, August 2009) http://www.airforce-magazine.com/MagazineArchive/Documents/2009/August%202009/0809maintenance.pdf. 3. Department of Defense Reliability, Availability, Maintainability, and Cost Rationale Report (The Reliability Information Analysis Center) http://www.theriac.org/pdfs/DoD-RAM-C-Manual%202009-06-01.pdf.
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