MV-22 Supply Chain Agility: A Static Supply Chain Serving a Dynamic Deployment
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Authors
MacKinnon, Douglas
Zhao, Ying
Subjects
supply chain management
Department of Defense Supply Chain Management
Big Data
Data Mining
Text Mining
Big Data and Supply Chain Management
MV-22 Osprey
MV-22 Osprey Supply Chain
Lexical Link Analysis
Department of Defense Supply Chain Management
Big Data
Data Mining
Text Mining
Big Data and Supply Chain Management
MV-22 Osprey
MV-22 Osprey Supply Chain
Lexical Link Analysis
Advisors
Date of Issue
2018-04
Date
Presented April 10-12, 2018
Period of Performance: 01/01/2018-12/31/2018
Period of Performance: 01/01/2018-12/31/2018
Publisher
Monterey, California: Naval Postgraduate School
Language
en_US
Abstract
Project Summary: The U.S. Marine Corps prides itself on the ability to successfully operate within a dynamic environment in an expedient and expeditious manner. To achieve power projection requirements, high states of aircraft, vessel, equipment, and personnel readiness are to be preserved. No small accomplishment, this burden lies heavily on supply professionals and the agility of the supply network in support of operating forces. Supply Chain Management (SCM) must cultivate dynamic supply chains, fluid as the maneuver units they support. Though military action is reactive at times, proactive preparations foster an ability to increase momentum and gain the initiative. SCM should also adopt a proactive mindset, forecasting readiness requirements through critical and balanced consideration. The purpose of this quantitative research is to assess the supply chain network of a deployed Multi- Mission Vertical and/or Short Takeoff and Landing (MV-22) Osprey squadron, discover inefficiencies that exist, and make recommendations to increase supply chain productivity. Specifically, this study takes advantage of Microsoft Excel and Big Data (BD) techniques to sort through structured and unstructured data. Collaboration with the Department of the Navy (DoN) for requirements and attaining data sets will permit the application of Excel and Lexical Link Analysis (LLArelationships between given data sets. Extraction of variables such as response times and aircraft part), a text-mining software, to deriveavailability will measure SCM strengths and draw attention to deficiencies. Interpreted relationships helps determine opportunities, shortfalls, and favorable and unfavorable conditions within the organizational and intermediate maintenance levels of the Osprey supply chain. The results observed will be the basis forsupply chain improvement recommendations and assist with enhancing DoN SCM productivity.
Type
Report
Description
NPS NRP Executive Summary
Series/Report No
Department
Information Sciences (IS)
Organization
Naval Research Program
Identifiers
NPS Report Number
NPS-18-N026-B
Sponsors
Research POC Name: CAPT Eric
Funder
NPS-18-N026-B
Format
6 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.