Date of Award

3-22-2018

Document Type

Thesis

Degree Name

Master of Science in Logistics and Supply Chain Management

Department

Department of Operational Sciences

First Advisor

Daniel W. Steeneck, PhD.

Abstract

This research aims to extend the understanding of supply chain resiliency by utilizing a simulation model of a U.S. Air Force aircraft engine repair network to evaluate the degree of resiliency built into the system. The study compares the recovery time of the disrupted current system to that of a fully-integrated repair network; the objective being the quantification of resiliency in the current networks design and gauging the effectiveness of various strategies in reducing recovery time. This contributes to current literature by bridging the explicit gap on how to quantify, measure, and compare resilient supply chain strategies and also provides an objective means for basing managerial decisions.

AFIT Designator

AFIT-ENS-MS-18-M-104

DTIC Accession Number

AD1056294

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