An emergency medical services system design using mathematical modeling and simulation-based optimization approaches

Hatami-Marbini, Adel; Varzgani, Nilofar; Sajadi, Seyed Mojtaba; Kamali, Ahmad

doi:10.1016/j.dajour.2022.100059

Cited by 12 publications

(7 citation statements)

References 71 publications

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“…Accurate and effective planning which will lead to adequate provision and utilization of resources is, therefore, a necessity to enable schools to enhance inclusivity and equity for quality education (Inusah et al, 2023a). Unlimited demand coupled with scarce resources is a call for the effective allocation of resources for effective utilization (Hatami-Marbini et al, 2022). The rate of decay or attrition of resources affects the availability of resources if the rate of provision is not higher.…”

Section: Discussionmentioning

confidence: 99%

Evaluating Agile Neural Educational System for Effective Resource Management

Marfo Missah,

Inusah,

Najim

et al. 2023

Sage Open

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The major challenge of most basic schools is inadequate educational resources despite a conscious effort to constantly provide. This is a result of inaccurate data management leading to inappropriate predictions for effective planning. The actual efficiency of a system is determined by its ability to predict real-life data with speed and accuracy. In this work, the neural educational expert system (ES) is evaluated using mathematical models for predicting the availability of resources for the growing school-aged population using a criteria-based formative evaluation to know resource life and its effect on availability. This will help in the decision to add more resources by knowing when and how the resources should be added. Technical mathematical model generation through differential equations is used to fuse the factors affecting the availability of educational resources. The real-life data is used in prediction regarding the actual enrollment of learners and the availability of resources. The model is evaluated and critically analyzed to know the degree of accuracy and the steady state. The findings revealed that the resources decay and attrite at an exponential rate in the long run and the constant number of resources provided cannot cater for the rate of decay, resulting in inadequacy. A proposed algorithm for managing the resources is presented.

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Section: Discussionmentioning

confidence: 99%

Evaluating Agile Neural Educational System for Effective Resource Management

Marfo Missah,

Inusah,

Najim

et al. 2023

Sage Open

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“…On regular and emergency bases, a simulation technique was used to assess the workload. Hatami-Marbini et al (2022) proposed a simulation-based optimization approach for determining the best location of emergency medical centers and assigning ambulances to the selected centers to maximize the survival rate while minimizing the total emergency medical service system costs. The optimization model results were used as the primary scenario to create the simulation model.…”

Section: Hybrid Simulation-optimization Approach For Humanitarian Log...mentioning

confidence: 99%

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Rezeq,

Aouam,

Gailly

2024

JHLSCM

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Purpose Authorities have set up numerous security checkpoints during times of armed conflict to control the flow of commercial and humanitarian trucks into and out of areas of conflict. These security checkpoints have become highly utilized because of the complex security procedures and increased truck traffic, which significantly slow the delivery of relief aid. This paper aims to improve the process at security checkpoints by redesigning the current process to reduce processing time and relieve congestion at checkpoint entrance gates. Design/methodology/approach A decision-support tool (clearing function distribution model [CFDM]) is used to minimize the effects of security checkpoint congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. By using a business process simulation, the current and reengineered processes are both simulated, and the simulation output was used to estimate the clearing function (capacity as a function of the workload). For both the AS-IS and TO-BE models, key performance indicators such as distribution costs, backordering and process cycle time were used to compare the results of the CFDM tool. For this, the Kerem Abu Salem security checkpoint south of Gaza was used as a case study. Findings The comparison results demonstrate that the CFDM tool performs better when the output of the TO-BE clearing function is used. Originality/value The efforts will contribute to improving the planning of any humanitarian network experiencing congestion at security checkpoints by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination.

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“…The findings of Rajan et al (2018) demonstrated that although in some cases the use of remote technologies may be detrimental to the patients' conditions, such developments ultimately improve the productivity of health workers and thereby enhance the society's well-being in the long term. The gathered data by apps can also help healthcare managers to use the simulation and optimization model, Kamali et al (2018), Hatami-Marbini et al (2022, Kamali et al (2020), Shavandi et al (2020) as well as the heuristic techniques, Sajadi et al (2016), to make appropriate decisions in the healthcare system. These kinds of apps can also be sued in disasters such as earthquakes to save injured people by alerting and guiding them quickly to temporary medical centers, Mousavi et al (2021a, b) in a predesigned hierarchical network of medical centers for disasters Mousavi et al (2022a, b, c).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The gathered data by apps can also help healthcare managers to use the simulation and optimization model, Kamali et al. (2018), Hatami-Marbini et al. (2022), Kamali et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring factors influencing the adoption of mobile healthcare technologies: perspectives from designers, consultants and users’ preferences

Namirad,

Deiranlou,

Sajadi

2023

AJB

Self Cite

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PurposeToday, the use of smart technologies in healthcare systems is experiencing exponential growth, and the future of healthcare is seemingly closely intertwined with such technologies. Thus, any exploration of the factors that influence human health and healthcare systems inevitably touches upon the subject of new technologies. This study aims to design a conceptual model to investigate the elements that affect individuals' openness to accepting and using mobile healthcare applications (mHealth apps) and their reciprocal effects.Design/methodology/approachAfter a brief review of the literature, the authors identify the influential factors in the acceptance of smart technologies in healthcare systems and present a conceptual model in this regard. Next, the authors analyze the factors and variables and the extent of their impact by a structural equation modeling (SEM) approach. The statistical population of this study consists of 421 individuals including the developers, consultants and users (i.e. patients) of mHealth apps. Data analysis was done on the statistical software SPSS v.26, while SEM was carried out using the partial least squares (PLS) method on the modeling software SmartPLS.FindingsThe results indicate that user, consultant and developer preferences have a positive and significant impact on time, quality of life, managing chronic conditions and cooperation, and these constructs (system performance) finally have a positive and significant impact on the acceptance of mobile healthcare technologies.Originality/valueThis paper shows that mHealth apps can have a remarkable role in the prevention and treatment of medical conditions, and it is strongly recommended that this technology be utilized in the studied region.

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An emergency medical services system design using mathematical modeling and simulation-based optimization approaches

Cited by 12 publications

References 71 publications

Evaluating Agile Neural Educational System for Effective Resource Management

Evaluating Agile Neural Educational System for Effective Resource Management

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Exploring factors influencing the adoption of mobile healthcare technologies: perspectives from designers, consultants and users’ preferences

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