Dynamic business continuity assessment using condition monitoring data
نویسندگان
چکیده
منابع مشابه
Monitoring Northeastern United States Forest Condition Using Landsat Data
The broad overviews obtained with Landsat data can provide information concerning the location, types, and magnitudes of forest changes not easily obtainable by other means. One of the main goals of the current study is to provide spatial information regarding the more subtle forms of forest change rather than those primarily related to land cover conversion. A forest-dominated area in northern...
متن کاملImproving Periodic Preventive Maintenance Strategies Using Condition Monitoring Data
Due to reduction in petroleum production and aging production facilities, the Norwegian oil and gas industry is interested in optimization maintenance strategies and reducing costs. Currently the maintenance strategies are based on predetermined periodic (calendar or use time) preventive maintenance strategies that are developed based on statistical data and/or recommendation from the manufactu...
متن کاملBusiness Continuity for Business Agility
Continuous computing technologies are employed in order to achieve business continuity from the business operations perspective. In the same time, these technologies are the main prerequisite for business agility as agility relies on available information and “always-on” information system that generates it. Business Agility and relations with business continuity technologies are briefly explai...
متن کاملBusiness Continuity for Business Agility
Continuous computing technologies are employed in order to achieve business continuity from the business operations perspective. In the same time, these technologies are the main prerequisite for business agility as agility relies on available information and “always-on” information system that generates it. Business Agility and relations with business continuity technologies are briefly explai...
متن کاملAssessment of Pipeline Condition Using Heterogeneous Input Data
An inverse analysis model was developed which provides a mathematical framework for interpretation, in terms of the condition of a buried pipeline, of survey data in the presence of random noise. A boundary-element forward model was coupled with a weighted nonlinear regression algorithm to obtain pipe surface properties from two types of survey data: soil-surface potentials and local values of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Disaster Risk Reduction
سال: 2019
ISSN: 2212-4209
DOI: 10.1016/j.ijdrr.2019.101334