The probability of a given facility to attract a customer increases by enhancement of the facility's utility.
For example, penetration testing can be used to assess and exploit vulnerabilities of a given facility or system.
We present an approach for the design, evaluation and implementation of remanufacturing processes in a given facility.
If the form of the underlying speed flow density fundamental diagram for a given facility is known, the capacity may be readily obtained given the appropriate empirical data.
Meanwhile, based on the estimated CR models, road administrators can easily image the safety performance with the variation of traffic conditions at a given facility type.
The amount of a given facility's utility has a direct relationship with the level of design of the facility and a reverse one with a function of distance between the facilities and the demand points.
And if the network goes down at a given facility, the OTTO can complete a certain number of tasks that have already been assigned to it, safely, before pausing to await new directions.
We define, by considering weighted distances, the k-influence region of a facility as the set of points of the domain that has the given facility among their k-nearest/farthest neighbors.
Multiple reasons are likely to explain this variability including the quality of care, availability of hospital support services, types and acuity of illnesses seen at a given facility and the selection of patients for the institution of CPR.
ACS trauma hospital accreditation levels (i.e., levels I, II, III, and IV) refer to the level of trauma care capability available at a given facility and do not imply uniformity of data submission.
