Performance evaluation of Emergency Response Plans using a Multi-State System approach

Author(s):  
Funda Iscioglu ◽  
Aysegul Erem

The performance evaluation of a system having n identical units, each of which consists of two components has been successfully discussed in binary-state reliability analysis. In this paper, we study the performance evaluation of a multi-state system based on bivariate order statistics. The multi-state system consists of n independent and identical units, each having two components. The components of each unit are assumed to be s-dependent. However, the units work s-independently with each other. The system and each component of each unit having three performance levels “0 (failure), 1 (partially working) and 2 (completely working)” are considered. The degradation of the components follows Markov Process and also Farlie-Gumbel-Morgenstern distribution is used to model the s-dependence of the components. The reliability analysis of a multi-state k-out-of- n system are evaluated under the assumptions. Some dynamic performance measures for the system such as the mean residual and mean past lifetime functions based on bivariate order statistics are also evaluated. The performance of the system is especially examined for different values of s-dependence parameter, the degradation rates and different number of units for the system. The results are supported with some numerical examples and graphical representations.


2021 ◽  
Author(s):  
Rakesh Veerabhadrappa

This is a review-article which selectively reviews key concepts adopted in team performance evaluation literature. This review intends to promote future innovative methods for objective quantification and analysis of team performance. The review summarizes methods, experimental frameworks, sensors for physiological and behavioral recordings, data processing to derive team level objective measures, in the light of team performance evaluation. Observing the advancements in sensor technologies and computation power, towards advancing team performance evaluation, this review summarizes some of the current multimodal based team research. Finally, the review provides suggestions on aspects that the future research focus to overcome some of existing limitations and drawbacks. <br>


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