Location and hierarchical allocation disaster with combined ε-constraint and simulation-based optimization approach

Mousavi, Sogol; Sajadi, Seyed Mojtaba; Alem-Tabriz, Akbar; Najafi, Seyyed Esmaeil

doi:10.1177/00375497211063900

Cited by 3 publications

(2 citation statements)

References 59 publications

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“…The optimization model results were used as the primary scenario to create the simulation model. Finally, the study of Mousavi et al (2022) proposed a hybrid simulation-optimization approach for disaster management with maximum coverage in the immediate aftermath of an earthquake. A simulation was used to determine the optimal capacity of the medical centers and simulate the behavior of casualties at the start of the disaster.…”

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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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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“…(2021a, b) in a predesigned hierarchical network of medical centers for disasters Mousavi et al. (2022a, b, c).…”

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

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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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A Review of Constrained Multi-Objective Evolutionary Algorithm-Based Unmanned Aerial Vehicle Mission Planning: Key Techniques and Challenges

Huang,

Hu,

Yang

et al. 2024

Drones

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UAV mission planning is one of the core problems in the field of UAV applications. Currently, mission planning needs to simultaneously optimize multiple conflicting objectives and take into account multiple mutually coupled constraints, and traditional optimization algorithms struggle to effectively address these difficulties. Constrained multi-objective evolutionary algorithms have been proven to be effective methods for solving complex constrained multi-objective optimization problems and have been gradually applied to UAV mission planning. However, recent advances in this area have not been summarized. Therefore, this paper provides a comprehensive overview of this topic, first introducing the basic classification of UAV mission planning and its applications in different fields, proposing a new classification method based on the priorities of objectives and constraints, and describing the constraints of UAV mission planning from the perspectives of mathematical models and planning algorithms. Then, the importance of constraint handling techniques in UAV mission planning and their advantages and disadvantages are analyzed in detail, and the methods for determining individual settings in multiple populations and improvement strategies in constraint evolution algorithms are discussed. Finally, the method from the related literature is presented to compare in detail the application weights of constrained multi-objective evolutionary algorithms in UAV mission planning and provide directions and references for future research.

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Location and hierarchical allocation disaster with combined ε-constraint and simulation-based optimization approach

Cited by 3 publications

References 59 publications

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

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

A Review of Constrained Multi-Objective Evolutionary Algorithm-Based Unmanned Aerial Vehicle Mission Planning: Key Techniques and Challenges

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