A Six Sigma approach to collection of critical geospatial infrastructure data Online publication date: Tue, 15-Sep-2015
by Amitava Mitra; Chetan S. Sankar; Luke Marzen; P.K. Raju
International Journal of Emergency Management (IJEM), Vol. 11, No. 3, 2015
Abstract: Coastal communities along the Gulf Shores in Alabama, USA and other neighbouring states are frequently impacted by natural calamities such as hurricanes. Such disasters cause damages that affect critical infrastructures such as gas valves and meters, electric transformers, water valves and meters, fire hydrants, and sewer manholes. Further, sand and debris may cover up such infrastructure fixtures after a disaster, causing difficulty in timely recovery. Damage to critical infrastructure inflicts an estimated 50% or more of the clean-up costs, increases time to recovery, and delays the normal functioning of local business/tourism. An objective of the project was to create a database of the geospatial data of the critical infrastructure. Collecting this data is a labour-intensive and error-prone process. A Six Sigma approach was used to guide the execution of the project and provide control measures to improve the effectiveness of data collection.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Emergency Management (IJEM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook