"Contingency basing is a critical factor in mission success but requires significant logistical and commander support. Designing and constructing a camp that is safe, secure, and self-sustaining can be a difficult task for a Contingency Basing engineering manager. The infrastructure for basic needs such as electricity, fuel, water, food, and waste management is critical and needs to be flexible.
This research focuses on assisting the Contingency Basing engineering manager in designing and constructing a feasible base camp using project management and modeling tools. Measuring scalability and resiliency with in the contingency base was studied as well. The methodology concentrates on project management practices and logistics modeling as applied to contingency basing as well as measuring the scalability and resiliency of 40 functional contingency base blocks with 12 different coefficients. Project management tools will focus on retaining organizational knowledge by managing high turnover rate and extreme risk management. Modeling of several logistics systems with in the base camp will simulate real world problems. Strategic planning and clear metrics for resiliency and scalability will increase the effectiveness and efficiency of current basing standards"--Abstract, page iii.
Long, Suzanna, 1961-
Cudney, Elizabeth A.
Engineering Management and Systems Engineering
M.S. in Engineering Management
Missouri University of Science and Technology
viii, 45 pages
© 2012 Amanda Jo Gealy, All rights reserved.
Thesis - Restricted Access
Library of Congress Subject Headings
Contingency theory (Management)
Logistics -- Management
Combat sustainability (Military science)
Print OCLC #
Electronic OCLC #
Link to Catalog RecordElectronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu:80/record=b9658206~S5
Gealy, Amanda Jo, "Logistics modeling and project management practices for contingency basing" (2012). Masters Theses. 5982.