Better Estimation of Completion Times for Ships Undergoing CNO Availabilities

Abstract

United States Navy (USN) surface ships must complete routine maintenance, repair work or upgrades in order to maintain operations to support the fleet. However, a large majority of planned maintenance availabilities exceed their schedule and consequently decrease their readiness to support the fleet and negatively impact ship readiness and operational availability. The USN uses an Availability Duration Scorecard (ADS) to manually determine surface ship maintenance durations, but it does not accurately capture the complexity of the work required. There is a need for more accurate predictions using ADS that include a detailed evaluation of work performed, to include the complexity of specific tasks. This thesis conducts an analysis of the tanks and voids maintenance activity duration estimates for three classes of USN ships. Regression analysis is conducted on ships where the availability duration substantially exceeded ADS estimate. Regression shows no statistically significant relationship between the number of maintenance activities on tanks and voids and the total availability duration. Additionally, there is no statistically significant relationship between unplanned tanks and voids maintenance activities and the total availability duration.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2022
Accession Number
AD1201026

Entities

People

  • Amy W. Lee

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Amphibious Operations
  • Amphibious Ships
  • Department Of Defense
  • Deployment
  • Engineering
  • Maintenance
  • Maintenance Requirements
  • Naval Operations
  • Navy
  • Regression Analysis
  • United States
  • Uss Cowpens
  • Uss Decatur
  • Uss John Finn
  • Uss Lake Erie
  • Uss Mobile Bay
  • Uss Paul Hamilton
  • Uss Shoup
  • Uss Spruance
  • Uss Sterett
  • Uss Stethem
  • Uss Stockdale

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Naval Mine Countermeasure Systems Development.