Ship Material Condition Metrics Model Maintenance Figure Of Merit MFOM 2.0 - PowerPoint PPT Presentation

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Ship Material Condition Metrics Model Maintenance Figure Of Merit MFOM 2.0

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    1. 1 Ship Material Condition Metrics Model Maintenance Figure Of Merit (MFOM) 2.0 Mr. Dale Hirschman MFOM PM, FFC N434

    2. 2

    3. 3 How does MFOM Help

    4. 4 Basics of MFOM

    5. 5 MFOM Roadmap MFOM is designed for easy incorporation into ERP. MFOM is the ship readiness feed for DRRS-N (equipment pillar) MFOM will address readiness appropriate to the FRTP MFOM will be the primary waterfront maintenance tool for budgeting, organizing and planning (O, I & D level) MFOM will associate detailed funding with appropriate maintenance actions MFOM will improve the interaction between established maintenance tools to leverage necessary capabilities and functionalities. MFOM will provide validation, screening and brokering (VSB) capability for building the maintenance work packages based on metrics.

    6. 6 MFOM Data Inputs MFOM takes input from existing documentation Automated Work Requests (i.e., 2 Kilos) Inspections, Certifications, Assessments and Visits (ICAVs) Alterations Repair work CASREPs, etc Tag-outs (eSOMS) Machinery Monitoring Systems (e.g., ICAS) IPARS Class Maintenance Plans Other Technical Documentation (DFS, UROs, IMMPs, Master Spec Catalog, MRCs) MFOM starts with existing ships configuration data All records for each hull from CDMD-OA

    7. 7

    8. 8 Ships Material Condition Readiness

    9. 9 Feeding Readiness Metrics Slide starts with MRAS vessels MRAS operating on NIAPS and FAS servers 2K data goes ashore and is fed to the MFOM models for each ship. MFOM applies these 2K to the NTAs. MFOM produces a rating value for the E pillar of PESTO. PESTO pillars fed TFIRM where dollars are linked to the maintenance data. The data is fed to the DRRS-N program and validated by chain of command DRRS-N feeds DRRS Slide starts with MRAS vessels MRAS operating on NIAPS and FAS servers 2K data goes ashore and is fed to the MFOM models for each ship. MFOM applies these 2K to the NTAs. MFOM produces a rating value for the E pillar of PESTO. PESTO pillars fed TFIRM where dollars are linked to the maintenance data. The data is fed to the DRRS-N program and validated by chain of command DRRS-N feeds DRRS

    10. 10 Readiness Drill Down Drill Down Capability Clicking on Equipment Pillar bubble brings up top five degraded systems degrading this capability on a ship System Name, JSN, ETR, CSMP Summary are displayed Starting Point Not all units are alike, so straight average of each unit is not preferred Aggregate similar units into Subgroups, then average unit OVL assessments to provide Subgroup OVL. Average subgroup OVL assessments to produce Group OVL for the Capability. Starting Point Not all units are alike, so straight average of each unit is not preferred Aggregate similar units into Subgroups, then average unit OVL assessments to provide Subgroup OVL. Average subgroup OVL assessments to produce Group OVL for the Capability.

    11. 11

    12. 12 TMA/TMI Data Analysis Systems screened overall in first process Systems ranked in second process Systems investigated in third process Parts Cost, CASREPs, Days Down Time, 2K Volume, & Man-hours

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    14. 14 Predictive MFOM Future Status Screen The main screen for MFOM Predictive Five Sections Ship/Version/Year selection Availability Schedule Budget Requirements & Controls MFOM Table Work List

    15. 15 Maintenance Planning in Predictive MFOM Predictive MFOM Work List Builds future availabilities based on VSB protocols Uses degradation curves to predict future failures Inputs known Class Maintenance Plan actions and Modernization in out years Uses projected Man-day rates Outputs Indicates predicted MFOM readiness value based on work list Links modernization to maintenance actions Estimates funding to achieve desired FRP readiness and Life Cycle readiness Provides information to port loading model and OPNAV campaign model

    16. 16 Readiness / Maintenance Interfaces

    17. 17 Building the Model A Coordinated Group Effort

    18. 18 FIN (Location)(Function)(ID)

    19. 19 IUID DDG 51 Pilot Project Overview MFOM 2.0 will implement a pilot project integrating IUID technology Will use the MRAS shipboard database Effort focused on DDG-51 class Pilot Ship USS FORREST SHERMAN (DDG-98) Targets items that will have maintenance performed on them during the course of a one year period through the tag out system. There are two major components involved in the proposal; Determining the plan for uniquely identifying shipboard equipment and assets Application of IUID technology to mark legacy equipment and assets and register IUID numbers in the DoD registry Marking would take place primarily at the organizational level during maintenance. MRAS and MFOM will be modified to track equipment with an associated IUID.

    20. 20 Project Schedule By 31 January 2007: Determine procurement requirements for IUID marking technology By 1 February 2007: Develop training curriculum and material for training Ships Force By 1 April 2007: Conduct Pre-Pilot testing at the NSWCCD-SSES to verify database communications By 1 May 2007: Begin application of IUIDs on shipboard equipment Conduct training for ships force personnel By 1 September 2007: Complete DDG 51 Class Pilot program IUID application By 30 September 2007: Complete post DDG 51 Class Pilot program analysis and reporting

    21. 21 Project Schedule Identify Construct # 1: Enterprise Identifier / Serial Number Requirements FFC UIC ( DoDAAC) / Special Handling Indicator/Unique Random Serial Number Develop and implement IUID Data processes and policy for DDG 51 legacy items: Develop non-shipboard initial IUID SOP Determine UID tag type and application/attachment process Determine standard IUID reader requirements Develop initial IUID SOP shipboard Initial Pre-Pilot project plan for testing of DDG 51 Class IUID Project at NSWCCD-SSES Philadelphia Identify approximate DDG 51 Class shipboard item inventory for Pilot IUID/MID labeling: Project ship identified as USS FORREST SHERMAN DDG 98 ESOMS inventory identified Commence shipboard pilot. ESD 23 April 2007

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    23. 23 Backup Software Screenshots

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    26. 26 Ships Material Condition Readiness

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    31. 31 Analytical Hierarchical Ship Material Condition Model Conventions

    32. 32 MFOM Horizontal Structure Horizontal Family Model structure that consists of two or more Parents with one or more children, in two or more systems that can be aligned (cross connected) to functionally support another Parent. An example would be Trim and Drain Pumps on a Submarine or use of AN/SPS-49 Radar when AN/SPN-43 Radar is inoperative. This Model structure may also contain like Children to support variable operational demands with the number of Children linked to the system design criteria. Example: Multiple pumps in the Fire Main System or Auxiliary Machinery Cooling Water System. Horizontal Family Model structure that consists of two or more Parents with one or more children, in two or more systems that can be aligned (cross connected) to functionally support another Parent. An example would be Trim and Drain Pumps on a Submarine or use of AN/SPS-49 Radar when AN/SPN-43 Radar is inoperative. This Model structure may also contain like Children to support variable operational demands with the number of Children linked to the system design criteria. Example: Multiple pumps in the Fire Main System or Auxiliary Machinery Cooling Water System.

    33. 33 MFOM Operational Structure

    34. 34