Background Despite continuous strategic investments to mitigate the complexity involving arboviruses control, it is still necessary to further research methods and techniques to achieve in depth knowledge and shorter response times in the application of intervention activities. Consequently, the current work focused its efforts on the development of a multicriteria decision support model for the prioritization of prompt response activities for Aedes aegypti control, based on a case study in the city of Natal/RN. Method The research was carried out in three stages: a) preliminary; b) modelling and choice; and c) finalization; the second stage was made possible by the Flexible and Interactive Tradeoff (FITradeoff) method for ranking problematic. Furthermore, the research encompassed ten actors who were involved in the model construction, eight internal and two external to the Natal Zoonoses Control Center (ZCC-Natal) as well as the observation of four operating scenarios for arboviruses control, based on transmission levels; and, evaluation of eleven alternatives from six different criteria perspectives. Results Rankings of the interventions evaluated in each of the four control operation scenarios present in the city of Natal/RN were obtained, considering technical criteria guided by the Pan American Health Organization (PAHO). Conclusions As a result, it was developed a structured decision-making model that could help decision makers to minimize the effects and risks associated with the proliferation of the vector.
Background In the hospital environment, to achieve an optimum level of operations and service, it is necessary to develop adequate inventory management system. Stocks can be managed, amongst other ways, through inputs classification, which is generally carried out based on a single criterion, such as monetary value, demand or criticality, which does not fully address the complexity of a hospital’s inventory management system. Thus, the present study proposes a multi-criteria decision support model to help classify the stock of medicines and materials, enabling a more effective inventory management system for hospitals. Methods Methodologically, the study followed 3 stages: (1) preliminary phase; (2) modelling and choice phase; and (3) finalization phase. Each stage had a set of specific steps that were followed. The first stage identified the actors of the process, objectives, criteria and alternatives, establishing 5 criteria and 48 alternatives; the second stage was the choice and execution of the multi-criteria decision method to solve the problem. It was decided to use the Flexible and Interactive Tradeoff method for the sorting problematic. Finally, in the third stage, the sensitivity analysis for the developed model and the validation of the results with decision makers were carried out. In the study, 48 medicines and materials were included to validate the proposed model; however, the model could be used for more items. Results From the total of 48 medicines and hospital medical materials selected for the study, the classification of 34 of these alternatives to a single class was obtained through modelling and the other 14 alternatives were destined to two possible classes; moreover, the sensitivity analysis performed showed robust results. The items classified in class W should receive special attention by the stock manager; therefore, they should be monitored weekly. Items classified in class B should be monitored biweekly and finally, items classified in class M, should be monitored monthly. Conclusions The classification of medicines and materials developed according to the inventory demands allowed more efficient purchasing decisions, optimizing the stock of materials and medicines at the hospital while optimizing the inventory manager’s activities, saving time. Consequently, the proposed model can support the development of other multicriteria models in different hospital scenarios.
Background: In hospital environment, to achieve an optimum level of operations and service, it is necessary to define adequate inventory control. Stocks can be managed, amongst other ways, through inputs classification, which is generally done based on a single criterion, such as monetary value, which does not encompass the nature and challenges of a hospital's inventory management. Thus, the present study aims to propose a multi-criteria decision support model to help classify the stock of materials and medicines at a university hospital in Natal-RN.Methods: Methodologically, the study followed 3 stages: i) preliminary; ii) modelling and choice; and iii) finalization, having within these stages specific steps that were followed. The first phase identified the actors of the process, objectives, criteria and alternatives, in which 5 criteria and 48 alternatives were established; the second phase was the choice and execution of the multicriteria decision method to solve the problem. We chose to use the Flexible and Interactive Tradeoff (FITradeoff) method for the classification problem. Finally, in the third phase, an analysis of the sensitivity of the developed model as well as validation of the results with decision makers was carried out.Results: From the total of 48 medicines and hospital medical materials selected for the study, the classification of 34 of these alternatives to a single class was obtained through modelling and the other 14 alternatives were destined to two possible classes; moreover, the sensitivity analysis performed showed the robustness of the results.Conclusions: The classification of materials and medicines developed according to the reality of the stock made it possible to make purchasing decisions based on the perspectives of the presented model, optimizing the stock of materials and medicines at the university hospital. The proposed model can be used as a basis for the development of other multicriteria models considering multiple criteria simultaneously.
Diante da contribuição dos sistemas Instrumentados de Segurança (SIS), em especial os sistemas de alta integridade para proteção à alta pressão (HIPPS), permitindo que diferentes processos sejam levados à níveis cada vez mais seguros, o presente estudo buscou analisar a disponibilidade de um HIPPS em diferentes configurações por meio da influência da arquitetura dos seus componentes, frequências de testes e tempo médio entre os reparos. Para tanto, nos procedimentos metodológicos, foi definido um modelo base de arquitetura para posteriormente serem analisadas diferentes propostas. Tais análises foram subsidiadas pela identificação das variáveis no manual de dados “Reliability data for Safety Instrumented Systems” e modelagens matemáticas realizadas por meio de equações propostas no manual do método PDS “Reliability Prediction Method for Safety Instrumented Systems PDS Method Handbook, 2010 Edition”, podendo, assim, realizar análises comparativas de tais influências. Como achados da pesquisa, está a verificação de que, de acordo com os cenários estudados, as medidas de tempo médio para reparo e frequência de testes se mostraram mais representativas para a indisponibilidade do sistema do que as variações de arranjos. E, ainda, que o aumento da frequência de teste fomenta a elevação do PFD de falhas independentes; assim como o HIPPs na filosofia degradada, em geral, apresentou uma contribuição muito baixa, sendo irrisória para a análise final da disponibilidade do sistema. Entretanto, quando elevado o MTTR, tais falhas mostram suas importâncias para tais funções. Por fim, como suposto por Marszal e Scharpf (2002), confirmou-se que acionamentos espúrios são mais relevantes em arquiteturas redundantes, independente de tempos de testes e tempos entre reparos.
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