Army Combat Capabilities Development Command (CCDC) Data and Analysis Center Tool Suite

Overview

The Army Combat Capabilities Development Command (CCDC) Data and Analysis Center provides responsive systems analysis to support the equipping and sustaining of weapons and materiel for our Warfighters in the field as well as our Future Army Forces. The Center for Reliability Growth (CRG) is a joint CCDC-AEC partnership that works towards improving reliability by providing policy, guidance, standards, methods, tools, and training. In doing so, reliability, materiel/operational availability, and initial operational testing success rates can be increased while support costs and logistics footprint are decreased.

The CRG maintains a collection of key reliability tools, models, and documents. By capturing and archiving actual test metrics/data, the models and tools are validated and improved. The CRG also applies resources to perform reliability or physics-of-failure analyses for select high-impact projects. Additionally, the CRG develops reliability contract language, methodology, policy, and military handbooks & standards. The CRG allows for return on investment, reduced test time, and reduced O&S cost through the use of design-for-reliability activities. The suite of Reliability Tools include:

Planning Models

Comprised of both PM2 Continuous and PM2 Discrete, the reliability growth planning methodology allows the feasibility of achieving a requirement to be assessed, given program schedules, amount of testing, and resource constraints.

Tracking Models

The purpose of the RGTMC is to assess the reliability improvement (within a single test phase) of a system during development, for which usage is measured on a continuous scale.        

Projection Models

CROW Projection Model (ACPM)

The purpose of ACPM is to estimate system reliability at the beginning of a follow-on test phase by taking into consideration the reliability improvement from delayed fixes Benefits include the ability to project the impact of delayed corrective actions on system reliability.        

Discrete Projection Model (ADPM) 

The Discrete Projection Model (ADPM) provides an estimate of the projected reliability following the implementation of both delayed and non-delayed fixes for discrete (one-shot) systems. The model also provides estimates of important reliability growth metrics.

Maturity Projection Model (AMPM)

The purpose of AMPM is to provide an estimate of the projected reliability following the implementation of both delayed and non-delayed fixes. The model also provides estimates of the important reliability growth metrics.

Scorecards

Reliability Scorecard

The Reliability Scorecard examines a supplier's use of reliability best practices, as well as the supplier's planned and completed reliability tasks. It also assists in tracking achievement of reliability requirements and rating adequacy of the Reliability Program.        

Software Reliability Scorecard 

The Software Reliability Scorecard extends and complements the general reliability scorecard by examining an individual software development effort and assessing the level of risk associated with the software reliability practices being applied.

Test Planning Tools

IOT Planning Tool (IPT) 

The purpose of the IPT-C is to help the user choose an appropriate IOT profile and obtain the necessary metrics for developing a reliability program plan. The IPT-C contains two tools called the IOT Planner - Continuous and the OC Curve Plotter - Continuous.        

IOT Planning Tool (IPT) Discrete (IPT-D)   

The purpose of the IPT-D is to help the user choose an appropriate IOT profile and obtain the necessary metrics for developing a reliability program plan. The IPT-D contains two tools called the IOT Planner - Discrete and the OC Curve Plotter - Discrete. 

Provisioning Tools

Visual SESAME (Selected Essential-Item Stock for Availability Method)

Visual SESAME (Selected Essential-Item Stock for Availability Method) is a multi-echelon, multi-indenture inventory model. It determines the optimal range and depth of spares and repair parts at all locations in the support structure in order to meet a weapon system readiness target or budget constraint. The use of Visual SESAME is mandated by the Department of the Army (AR 700-18) for Initial Provisioning Requirements Determination.

Center for Reliability Growth

DEVCOM Analysis Center

The DEVCOM Analysis Center provides various Reliability Growth tools written in Microsoft Excel. One of these tools is The Reliability Scorecard which provides a structured engineering and analytical approach to track the achievement of reliability requirements and the adequacy of the overall Reliability Program throughout the program's acquisition life cycle. The DEVCOM Analysis Center has also developed several models designed for planning, tracking, and projecting reliability. For more information on the tools offered, see the descriptions below.

How to request for tools?

Request tools by emailing U.S. Army: 

Email: [email protected]

Processes Supported

• Condition-Based Maintenance Plus (CBM+)
• Failure Modes & Effects Analysis (FMEA) / Failure Modes Effects & Criticality Analysis (FMECA)
• Failure Reporting, Analysis, and Corrective Action System (FRACAS)
• Fault Tree Analysis (FTA)
• Level of Repair Analysis (LORA)
• Maintenance Task Analysis (MTA)
• Product Lifecycle Management (PLM) / Product Data Management (PDM) 
• Product Support Analysis (PSA)/ Supportability Analysis 
• Reliability & Maintainability (R&M) Modeling, Prediction, Allocation and Analysis
• Reliability Centered Maintenance (RCM)

Potential Organizations Associated

• Air Force/ Space Force
• Army
• Defense Agencies
• Navy/ Marine Corps
• OSD/ Joint Staff

License Requirement

• No fee for Government users

Integrated Product Support (IPS) Elements Addressed

• Design Interface
• Maintenance Planning and Management
• Product Support Management
• Sustaining Engineering

Disclaimer

This suite of US government tools is included in the product support analytical tools database to assist defense acquisition workforce members with identifying product support solutions which potentially optimize system readiness and life cycle cost. The analytical tools database itself should under no circumstances be considered all-encompassing; nor does it in any way warrant or endorse the capabilities, pricing, and/or products of any particular individual, company, capability, or organization. Suggested updates to the description of this suite of tools or additions to the tools database are welcome.