Analysing the impact of disruptions in intermodal transport networks: A micro simulation-based model

2013 ◽  
Vol 54 (4) ◽  
pp. 1580-1586 ◽  
Author(s):  
Wolfgang Burgholzer ◽  
Gerhard Bauer ◽  
Martin Posset ◽  
Werner Jammernegg
2020 ◽  
Vol 11 (05) ◽  
pp. 857-864
Author(s):  
Abdulrahman M. Jabour

Abstract Background Maintaining a sufficient consultation length in primary health care (PHC) is a fundamental part of providing quality care that results in patient safety and satisfaction. Many facilities have limited capacity and increasing consultation time could result in a longer waiting time for patients and longer working hours for physicians. The use of simulation can be practical for quantifying the impact of workflow scenarios and guide the decision-making. Objective To examine the impact of increasing consultation time on patient waiting time and physician working hours. Methods Using discrete events simulation, we modeled the existing workflow and tested five different scenarios with a longer consultation time. In each scenario, we examined the impact of consultation time on patient waiting time, physician hours, and rate of staff utilization. Results At baseline scenarios (5-minute consultation time), the average waiting time was 9.87 minutes and gradually increased to 89.93 minutes in scenario five (10 minutes consultation time). However, the impact of increasing consultation time on patients waiting time did not impact all patients evenly where patients who arrive later tend to wait longer. Scenarios with a longer consultation time were more sensitive to the patients' order of arrival than those with a shorter consultation time. Conclusion By using simulation, we assessed the impact of increasing the consultation time in a risk-free environment. The increase in patients waiting time was somewhat gradual, and patients who arrive later in the day are more likely to wait longer than those who arrive earlier in the day. Increasing consultation time was more sensitive to the patients' order of arrival than those with a shorter consultation time.


2021 ◽  
pp. n/a-n/a
Author(s):  
Jade Sheen ◽  
Wendy Sutherland‐Smith ◽  
Emma Thompson ◽  
George J. Youssef ◽  
Amanda Dudley ◽  
...  

2021 ◽  
Vol 2 (2) ◽  
pp. 1-21
Author(s):  
Hossam ElHussini ◽  
Chadi Assi ◽  
Bassam Moussa ◽  
Ribal Atallah ◽  
Ali Ghrayeb

With the growing market of Electric Vehicles (EV), the procurement of their charging infrastructure plays a crucial role in their adoption. Within the revolution of Internet of Things, the EV charging infrastructure is getting on board with the introduction of smart Electric Vehicle Charging Stations (EVCS), a myriad set of communication protocols, and different entities. We provide in this article an overview of this infrastructure detailing the participating entities and the communication protocols. Further, we contextualize the current deployment of EVCSs through the use of available public data. In the light of such a survey, we identify two key concerns, the lack of standardization and multiple points of failures, which renders the current deployment of EV charging infrastructure vulnerable to an array of different attacks. Moreover, we propose a novel attack scenario that exploits the unique characteristics of the EVCSs and their protocol (such as high power wattage and support for reverse power flow) to cause disturbances to the power grid. We investigate three different attack variations; sudden surge in power demand, sudden surge in power supply, and a switching attack. To support our claims, we showcase using a real-world example how an adversary can compromise an EVCS and create a traffic bottleneck by tampering with the charging schedules of EVs. Further, we perform a simulation-based study of the impact of our proposed attack variations on the WSCC 9 bus system. Our simulations show that an adversary can cause devastating effects on the power grid, which might result in blackout and cascading failure by comprising a small number of EVCSs.


Author(s):  
Elise Henry ◽  
Angelo Furno ◽  
Nour-Eddin El Faouzi

Transport networks are essential for societies. Their proper operation has to be preserved to face any perturbation or disruption. It is therefore of paramount importance that the modeling and quantification of the resilience of such networks are addressed to ensure an acceptable level of service even in the presence of disruptions. The paper aims at characterizing network resilience through weighted degree centrality. To do so, a real dataset issued from probe vehicle data is used to weight the graph by the traffic load. In particular, a set of disrupted situations retrieved from the study dataset is analyzed to quantify the impact on network operations. Results demonstrate the ability of the proposed metrics to capture traffic dynamics as well as their utility for quantifying the resilience of the network. The proposed methodology combines different metrics from the complex networks theory (i.e., heterogeneity, density, and symmetry) computed on temporal and weighted graphs. Time-varying traffic conditions and disruptions are analyzed by providing relevant insights on the network states via three-dimensional maps.


Surgery ◽  
2010 ◽  
Vol 147 (5) ◽  
pp. 631-639 ◽  
Author(s):  
Pamela B. Andreatta ◽  
Miranda Hillard ◽  
Lewis P. Krain

2021 ◽  
Author(s):  
Matthew Jackson ◽  
Lauren McTier ◽  
Laura A Brooks ◽  
Rochelle Wynne

Abstract Background: Although simulation-based education (SBE) has become increasingly popular as a mode of teaching in undergraduate nursing courses its effect on associated student learning outcomes remains ambiguous. Educational outcomes are influenced by SBE quality that is governed by technology, training, resources and SBE design elements. This paper reports the protocol for a systematic review to identify, appraise and synthesise the best available evidence regarding the impact of SBE on undergraduate nurses’ learning outcomes. Methods: Databases to be searched from 1st of January 1990 include the Cumulative Index to Nursing and Allied Health Literature (CINAHL), the Medical Literature Analysis and Retrieval System Online (MEDLINE), American Psychological Association (APA) PsycInfo and the Education Resources Information Centre (ERIC) via the EBSCO host platform. The Excerpta Medica database (EMBASE) will be searched via the OVID platform. We will review the reference lists of relevant articles for additional citations. A combination of search terms including ‘nursing students’, ‘simulation training, ‘patient simulation’, and ‘immersive simulation’ with common Boolean operators will be used. Specific search terms will be combined with either MeSH or Emtree terms and appropriate permutations for each database. Search findings will be imported into reference management software (Endnote© Version.X9) then uploaded into Covidence where two reviewers will independently screen titles, abstracts and retrieved full text. A third reviewer will be available to resolve conflicts and moderate consensus discussions. Quantitative primary research studies evaluating the effect of SBE on undergraduate nursing students’ educational outcomes will be included. The Mixed Methods Appraisal Tool (MMAT) will be used for quality assessment of core criteria, in addition to the Cochrane RoB 2 and ROBINS-I to assess risk of bias for randomised and non-randomised studies, respectively. Primary outcomes are any measure of knowledge, skills, or attitude. Discussion: SBE has been widely adopted by healthcare disciplines in tertiary teaching settings. This systematic review will reveal (i) the effect of SBE on learning outcomes, (ii) SBE element variability, and (iii) interplay between SBE elements and learning outcome. Findings will specify SBE design elements to inform the design and implementation of future strategies for simulation-based undergraduate nursing education.Systematic Review Registration: PROSPERO CRD42021244530


2021 ◽  
Vol 113 (1) ◽  
pp. 101-110
Author(s):  
Juan I. Cobián ◽  
◽  
Federico Ferrero ◽  
Martín P. Alonso ◽  
Alberto M. Fontana

Background: Learning complex tasks in surgical requires the coordination and integration of technical and non-technical skills have an impact on the performance of work teams. Objective: The aim of this study is to report the results of a simulation-based educational strategy for training in complex surgical skills considering the participants’ perceptions. Material and methods: In 2019, 10 healthcare professionals participated in a 20-hour course divided in 6 hours of online training and 14 hours of onsite training. The strategy designed included the integration of case resolution activities, role-playing, practice with synthetic and virtual simulators and high-fidelity simulation. At the end of the course, a questionnaire was administered to explore participants’ perceptions on what they had learned and on their attitude changes. Results: Fifty percent of the participants perceived their skills and knowledge improved at the end of the course compared with their perception at the beginning of the course while 80% perceived the impact of the course on their professional activity was good or excellent. All the participants agreed with the need for improving non-technical skills. The experience was rated as positive or very positive by all participants, who were eager to repeat it. Conclusion: The participants’ perceptions of this educational program demonstrates that this method is highly accepted. Raising awareness of non-technical skills during the reflection stage suggests the need for changes in attitude and in self-perception of efficacy. We believe that simulation-based training offers the possibility of improving the overall performance of the surgical team. Future studies should focus on this goal.


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