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CUVX Design Report - the AOE home page - Virginia Tech

CUVX Design Report - the AOE home page - Virginia Tech

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<strong>CUVX</strong> <strong>Design</strong> – VT Team 2 Page 39ROCAAW 6 - Detect, identify andtrack air targetsASU 1 - Engage surface threatswith anti-surface armaments atmedium and close rangeASU 2 - Engage surface ships incooperation with o<strong>the</strong>r forcesASU 4.1 - Detect and track asurface target with radarASU 6 - Disengage, evade andavoid surface attackASW 1.1 - Engage submarinesat long rangeASW 1.3 - Engage submarinesat close rangeASW 4 - Conduct airborneASW/reconASW 5 - Support airborneASW/reconMIW 7 – Deploy mines usingUCAVsCCC 1.6 - Provide a Helicopter/UCAV Direction Center (HDC)CCC 3 - Provide own unit CCCCCC 4 - Maintain data linkcapabilitySEW 2 - Conduct sensor, ECMand ECCM operationsFSO 5 - Conducttowing/search/rescue operationsFSO 6 - Conduct SARoperationsINT 1 - Support/conductintelligence collectionINT 2 - Provide intelligenceINT 3 - Conduct surveillanceand reconnaissance (ISR)NCO 3 - Provide upkeep andmaintenance of own unitNCO 19 - Conduct maritime lawenforcement operationsLOG 1 - Conduct underwayreplenishmentMOP or ConstraintThreshold orConstraintMOP1 - Ship AAWAN/SPS-49A(V)1Air Search RadarMOP33-ASUW2 LAMPS; 30mmMachine Guns; .50Cal Machine GunsAll designs – data link Link 11 / 16All designs – surface radarAN/SPS – 73(V)GoalRelated DVAN/SPS-49A DV10 - AAW systemAN/SPQ-9B4 LAMPS + DV11-ASW/ASUW LAMPSMOP15 - sustained speed 20 knots 25 knots DV1-DV7 – Hull formDV20 – Propulsion systemMOP32-ASW 2 LAMPS 4 LAMPS DV11-ASW/ASUW LAMPSAll designs – torpedo tubes SSTD (SurfaceShip TorpedoDefense); SVTT(Surface VesselTorpedo Tube)MOP32-ASW 2 LAMPS 4 LAMPS DV11-ASW/ASUW LAMPSMOP32-ASW 2 LAMPS 4 LAMPS DV11-ASW/ASUW LAMPSMOP34-Mine 10 UCAVs 30 UCAVs DV25-number of UCAVsAll designsAll designsAll designsAll designsAll designsMOP8 - number of UAVs andLAMPSMOP8 - number of UAVs andLAMPSAll designsMOP8 - number of UAVsMOP14 - RepairAll designsAll designsLink11/16SLQ-3210 UAVs2 LAMPS10 UAVs2 LAMPS10 UAVs2 LAMPS50% manningw/automation30 UAVs4 LAMPS30 UAVs4 LAMPS30 UAVs4 LAMPSFull manningDV24-number of UAVsDV11-ASW/ASUW LAMPSDV24-number of UAVsDV11-ASW/ASUW LAMPSDV24-number of UAVsDV11-ASW/ASUW LAMPSDV21,26 – ShipManFac, AirManFac3.5.2 Overall Measure of Risk (OMOR) (Appendix D.1 <strong>CUVX</strong> Ship Syn<strong>the</strong>sis Model, Module 12)The naval ship concept design process often embraces novel concepts and technologies that carry with <strong>the</strong>m aninherent risk of failure simply because <strong>the</strong>ir application is <strong>the</strong> first of its kind. This risk may be necessary to achievespecified performance or cost reduction goals.Three types of risk events are considered in <strong>the</strong> <strong>CUVX</strong> risk calculation: performance, cost and schedule. Theinitial assessment of risk performed in Concept Exploration, as illustrated in Figure 21, is a very simplified firststep in <strong>the</strong> overall Risk Plan and <strong>the</strong> Systems Engineering Management Plan (SEMP) for <strong>CUVX</strong>. Referring toFigure 21, after <strong>the</strong> ship’s missions and required capabilities are defined and technology options identified, <strong>the</strong>seoptions and o<strong>the</strong>r design variables are assessed for <strong>the</strong>ir potential contribution to overall risk. MOP weights,tentative ship and technology development schedules and cost predictions are also considered. Possible risk eventsidentified for <strong>CUVX</strong> are listed in Table 24. To calculate an OMOR, <strong>the</strong>se risk events are organized in a Riskhierarchy similar to <strong>the</strong> hierarchy used to calculate <strong>the</strong> OMOE (Figure 25, Figure 26 and Figure 27). The AHP andexpert pair-wise comparison are <strong>the</strong>n used to calculate OMOR hierarchy weights, W perf , W cost , W sched , w j and w k .The OMOE performance weights calculated previously that are associated with risk events are normalized to a totalof 1.0, and reused for calculating <strong>the</strong> OMOR. Once possible risk events are identified, a probability of occurrence,

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