Visualization of Big Data Through Ship Maintenance Metrics Analysis for Fleet Maintenance and Revitalization

Report Number: NPS-LM-14-010

Series: Logistics Management

Category: Big Data

Report Series: Sponsored Report

Authors: Isaac J. Donaldson, Thomas J. Housel, Johnathan Mun, Sandra Hom, Trent Silkey

Title: Visualization of Big Data Through Ship Maintenance Metrics Analysis for Fleet Maintenance and Revitalization

Published: 2014-02-01

Sponsored By: Acquisition Research Program

Status: Published--Unlimited Distribution

Research Type: NPS Faculty

Full Text URL: http://acquisitionresearch.net/files/FY2014/NPS-LM-14-010.pdf

Keywords: Big Data, Big Data Visualization, Visualization Software, 3D Printing, 3D Laser Scanning Technology, Collaborative Product Lifecycle Management

Abstract:

There are between 150 and 200 parameters for measuring the performance of ship maintenance processes in the U.S. Navy. Despite this level of detail, budgets and timelines for performing maintenance on the Navy