In training process of rail traffic manager (controller) using virtual reality technology, selection of activities among those assigned to a workplace and scenarios that should be taken in training is an important issue. The selection method that is based on performance variability of her/his activities has been proposed in the paper. This variability has been characterized by timing and precision. The traditional reliability and safety analysis methods are not sufficient when building the training program for traffic managers. In the paper the train controller work has been modelled using Functional Resonance Analysis Method (FRAM) that is system oriented approach. Scales of values of timing and precision that are train transport driven have been presented. They are different when comparing with typical timing and precision scales given in FRAM literature. In the paper the estimation of probabilities of occurring of values of timing and precision scales for these activities has been calculated as the mean from the values obtained by questionnaire done in traffic manager community or using Analytic Hierarchy Process (AHP) method. In FRAM with AHP approaches presented in literature, AHP pairwise comparison is executed using natural numbers and their reciprocals what is typical in AHP method. In our paper the AHP is used for estimating the probabilities, so in pairwise comparing the rational numbers are applied, because natural numbers and their reciprocals would limit the set of values of probabilities. The activities and scenarios that the training should be concentrated on are selected from those with the greatest variability.
2
Dostęp do pełnego tekstu na zewnętrznej witrynie WWW
The problem considered in the paper is as follows. The patient with lumbal pain is coming to General Practitioner (GP). The undesirable result is GP’s decision to treat the patient by him/herself in spite of the patient should be directed to medical specialist or hospital. In order to find the ways how the adverse outcomes occur, a system approach called Functional Resonance Analysis Method (FRAM) has been applied. The examples of emerging the unwanted GP’s decision, as a consequence of functional resonance have been given. Proposals how to avoid unwanted outcomes have been suggested.
PL
W pracy podjęto zagadnienie podjęcia leczenia pacjenta przez lekarza podstawowej opieki zdrowotnej (POZ), mimo że pacjent powinien być skierowany do szpitala lub specjalisty. Do znalezienia sposobów zaistnienia niepożądanego skutku zastosowano jedno z podejść systemowych, a mianowicie metodę analizy rezonansu funkcjonalnego (FRAM). Przedstawiono dwa przykłady wyłaniania się błędnej decyzji w konsekwencji rezonansu funkcjonalnego i propozycje zapobiegania podjęciu takich decyzji.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.