Supportability Analysis & Optimization

Supportability Analysis Services

ASI is an internationally recognized leader in the Supportability field, developing innovative tools and processes to support asset managers across the globe. We provide supportability solutions and services in all phases of the asset life-cycle.

Supportability is the ability and effectiveness of an asset, along with its support system, to achieve its desired performance over the life of the asset. Supportability Optimization is the process of maximizing the effectiveness of the support system in terms of asset performance and cost within given constraints. In other words, it is getting what you want out of your physical assets for the least cost over the long-haul, based on robust analytics, not just guesses. Supportability Optimization will answer the question: “Where will my next dollar provide the most impact on asset performance?”

Supportability is:

  • Influenced by both the design of the asset and the design of the support system
  • Impacted by operating environment
  • A function of Reliability, Availability, Cost, and Safety

Supportability, like reliability and maintainability, is both a measure of effectiveness and a related discipline that endeavors to maximize it. Supportability analysis in the Government and Defense sectors is defined in several prescriptive standards such as the Society of Automotive Engineers (SAE) SAE-GEIA-STD-0007 (Logistics Product Data), SAE-TA-0017 (Product Support Analysis), and MIL-STD-1388-1/2. We have taken the best of the processes defined in these standards and modified them to be efficiently applied outside of the Government and Defense sectors and incorporated them in the next generation of Enterprise Asset Management tools.

Supportability over the Asset Life-Cycle

Capabilities

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Condition-Based Maintenance & Prognostics Systems development

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Failure Modes Effects and Criticality Analysis (FMECA)

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Level/Location of Repair Analysis (LORA)

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Lifecycle Cost Analysis

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Maintenance Planning

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Maintenance Task Analysis (Maintenance Job Plans)

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Maintenance Concept Development

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Maintenance Management System Configuration & Integration

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Reliability-Centered Maintenance (RCM) Analysis

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Reliability Block Diagrams (RBD)

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Reliability Modeling and Analysis

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Root Cause Analysis (RCA)

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Spare Parts Provisioning Analysis

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Support Equipment Requirements Development

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Supportability Analysis (formerly Logistics Support Analysis or LSA)

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Supportability Modeling and Simulation

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Supportability Optimization

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Support Concept Development

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Technical Data Development

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Training Systems Development

What Makes Us Different?

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Diverse experience

We have performed supportability analysis on projects ranging from military aircraft, military and commercial ground vehicles, work boats, data centers, hospitals, mining equipment, manufacturing equipment, and more.

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Industry Leadership

Our internationally recognized experts serve as members of key technical committees such as the Society of Automotive Engineers (SAE) Life-Cycle Logistics Support Committee responsible for SAE-GEIA-STD-0007 (Logistics Product Data) and SAE-TA-0017 (Product Support Analysis).

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Capable Team

We have a large team of analysts, logisticians, engineers, and IT professionals with a diverse range of technical skills and experience that are ready and able to support any size project.

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State-of-the-art tools and processes

We have developed a comprehensive integrated suite of supportability tools that incorporate advanced analytical models and techniques.

Features and Benefits

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Obtain desired performance from your physical assets and fleets at minimum life-cycle cost.

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Increase Equipment uptime and reliability.

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Understand which factors have the most influence on system performance and how changes to those factors can improve performance.

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We provide support tailored to your organization’s individual needs from training to defined analysis projects to long-term on-site support.

Contact us to learn how we can help you
optimize the support of your fleets and physical assets.

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