Sentence examples for criticality measures from inspiring English sources
The sequence of solving the resulting scheduling problems for parallel machines is determined by machine criticality measures.
We can adapt this solution scheme in a situation dependent manner by choosing appropriate machine criticality measures.
We present results of computational experiments based on the simulation of a dynamic environment for the appropriate selection of machine criticality measures.
IA is then performed for the worst pump which could have most impact on the overall system effectiveness to classify their components based on the component criticality measures (CCM).
Consisting of two phases – qualitative analysis followed by quantitative analysis – an application of PIA progresses from a relatively quick elicitation of CI-interdependencies to the building of representative CI models, and the subsequent estimation of any resilience, risk or criticality measures an assessor might be interested in.
A "risk" or "criticality" measure is then calculated for each failure mode based on the rate of occurrence of failure and severity of the possible consequences.
The objectives of FMECA application are twofold: to classify the censored and uncensored data based on the criticality measure of FMECA, and to identify possible external factors (covariate effects) based on cause and effect assessments of FMECA.
The framework is based upon: (1) the combination of two complementary techniques, one focused on improving iterative process architectures, the Design Structure Matrix, and one focused on predicting project performance, the Graphical Evaluation Review Technique; and (2) the introduction of an activity set-based criticality measure.
Inside every steps but one (blood purification) of the process, some individual risks reached the threshold of unbearable residual criticality, requiring correcting measures.
The acceptance or rejection is based on the availability of bandwidth, (ii) polling of individual sensor to access channel, and (iii) measures the criticality level of a patient's data.
