Accession Number : AD1017930


Title :   Construction Material-Based Methodology for Military Contingency Base Construction: Case Study of Maiduguri, Nigeria


Descriptive Note : Technical Report


Corporate Author : U.S. Army Engineer Research and Development Center (ERDC) Champaign United States


Personal Author(s) : Guertin,Patrick J ; Calfas,George W ; Valentino,Michael K ; Al-Chaar,Ghassan K


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1017930.pdf


Report Date : 01 Sep 2016


Pagination or Media Count : 164


Abstract : To sustain itself as the world's premier land power, the U.S. Army needs the capability to support expeditionary forces by projecting a minimal basing footprint with reduced logistical burdens. Strategically sited Contingency Bases (CBs) allow the Army's expeditionary forces to rapidly respond and attack the enemy throughout the joint area of operations (JOA). Strategic conditions will be analyzed through the lens of eight OE variables political, military, economic, social, information, infrastructure, physical environment, and time (PMESII-PT). The Army has neither a well-grounded methodology nor the tools to enable this type of strategic decision-making capability. Decision makers require reliable information about the situational dynamics of the operational environment to anticipate the impacts that siting and operating CBs will have on the local context, and to consider the effects of the site on the operation of CBs. The capability to anticipate CB impacts and resources draws upon the local population, which will becomes particularly important for engagement operations when CBs will have a longer duration of use and interaction with the local populace. This report considers access of building materials required for the construction of CBs and develops a methodology to acquire reliable information that can be replicated in other locations through the world. This work then validates the developed methodology with a case study of Maiduguri, Nigeria.


Descriptors :   army , Military engineering , Construction , Logistics , Nigeria , Decision support systems , construction materials , Case studies


Distribution Statement : APPROVED FOR PUBLIC RELEASE