An emergency response system by dynamic simulation and enhanced particle swarm optimization and application for a marine oil spill accident

Ye, Xudong; Chen, Bing; Lee, Kenneth; Storesund, Rune; Li, Pu; Kang, Qiao; Zhang, Baiyu

doi:10.1016/j.jclepro.2021.126591

Cited by 31 publications

(11 citation statements)

References 32 publications

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“…Further, in the settlement block, the formalized initial information is converted using settlement procedures into the cash flow components in each month of modeling (CF1, CF2, ..., CFn). Cash flow reflects receipts and payments in three areas of the enterprise, related to production, sales and financing [39][40][41].…”

Section: Resultsmentioning

confidence: 99%

Simulation modeling in assessing the agricultural enterprise state in an emergency

et al. 2021

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The article proposes a methodology for assessing the sufficiency of financial resources in an emergency. The purpose of the study is to develop a methodology based on the method of simulation modeling to assess the sufficiency of resources and the sustainability of an agricultural enterprise in the event of an emergency. This set of methods for assessing the availability of enterprise financial resources for overcoming emergencies was implemented using algorithms for simulation of enterprise financial flows and their assessment in the program for investment calculations Project Expert 7.19. The program allows you to build simulation models of an enterprise, regardless of their industry and specificity. With the help of this software complex, it is possible not only to build a simulation model of an enterprise, but also to carry out its statistical evaluation. Together with the proposed method of detailing the initial data of annual financial and economic documents, this set of methods is a powerful tool for building and evaluating simulation models of agricultural and other enterprises, taking into account fluctuations in cash flow values during the year. Thus, the accuracy of the estimates obtained is significantly increased in comparison with methods based on the analysis of relative indicators or coefficients.

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Section: Resultsmentioning

confidence: 99%

Simulation modeling in assessing the agricultural enterprise state in an emergency

et al. 2021

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“…Given the fragile ecological environment and large population density in the Bohai Sea area, mechanical methods are generally chosen as the primary response option for combating oil spills (Wang et al, 2018a). These measures require combat ships (rescue ships, tugs, and fireboats) (Li et al, 2019;Zhang, 2021) and salvagerelated equipment (protective clothing, booms, skimmers, and pumps) (Mansdorf, 1992;Ye et al, 2021). The configuration of the above facilities can represent the adaptability of coastal tourist areas to oil spill disasters.…”

Section: Indicator Analysismentioning

confidence: 99%

Vulnerability assessment of coastal tourist attractions to oil spill stress based on a pressure-state-response framework: A case study of the Bohai Sea, China

Wang

Liu

et al. 2023

Front. Mar. Sci.

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The protection of coastal tourist attractions under oil spill stress requires a more detailed vulnerability assessment approach. In this study, an assessment model for estimating the vulnerability of coastal tourist attractions to oil spills along the Bohai Sea’s coastlines was developed, natural environmental and socioeconomic data were collected, and a geographic information system (GIS) was used. As many as 26 factors were selected for the vulnerability analysis of typical tourist destinations in the littoral area. All of the factors were grouped into different categories according to a pressure-state-response (PSR) framework (pressure parameters, state parameters, and response parameters), and a different rank of importance was assigned to each factor via the analytical hierarchy process. The comprehensive analysis results were calculated and visualized using GIS. The results show that the state and response together strongly affected the vulnerability of the various coastal tourist attractions, while the pressure had less effect on the vulnerability. There were obvious spatial variations among the different coastal tourist destinations. Overall, the coastal tourist attractions surrounding the Bohai Sea were characterized by a high oil spill pressure, high sensitivity, low emergency response capabilities, and high vulnerability. This study provides a reference for vulnerability assessment of tourist destinations under oil spill stress, provides a scientific decision-making basis for the protection of coastal tourist destinations, and is conducive to promoting the healthy development of the coastal tourism industry.

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“…Some of the solution approaches in outpatient scheduling problem employ heuristics such as modified genetic algorithm (Alizadeh et al, 2020). Hybrid simulation-based optimization has also been widely used solution approach for studying systems that involve social as well as economic goals such as healthcare and emergency response (Fan et al, 2020;Ye et al, 2021). Zhang et al (2020) explore the patient assignment to doctors by using discrete event simulation and meta-heuristics.…”

Section: Related Literaturementioning

confidence: 99%

A multi-objective optimization model for outpatient care delivery with service fairness

Datta

Kapoor²,

Mehta³

2023

BPMJ

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PurposeOutpatient care delivery is one of the key revenue sources of a hospital which plays a salient role in timely care delivery. The key purpose of the study is to propose a multi-objective simulation-based decision support model that considers the cost of care delivery and patient dissatisfaction as its two key conflicting objectives. Patient dissatisfaction considers service fairness. Patient idiosyncrasies such as no-show, unpunctuality and balking have been considered in the model involving multiple classes of patients.Design/methodology/approachA model has been designed using data collected from field investigations. In the first stage, queuing theory based discrete event simulation model has been developed. Genetic algorithm has been used to solve the scalarized problem and obtain actionable insights. In the second stage, non-dominated sorting genetic algorithm II (NSGA-II) has been involved to achieve the Pareto optimal fronts considering equal priority of the two objectives.FindingsThe computational results considering various parameter settings can help in efficient resource planning while ensuring better care delivery. The model proposed in the study provides structural insights on the business strategy of healthcare service providers on optimizing the dual goals of care delivery cost and service fairness.Originality/valueThe study is one of the early works that helps to improve the care delivery process by taking into consideration the environmental factors as well as service fairness. The study demonstrates the usage of simulation-based multi-objective optimization to provide a more sustainable patient centric care delivery.

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An emergency response system by dynamic simulation and enhanced particle swarm optimization and application for a marine oil spill accident

Cited by 31 publications

References 32 publications

Simulation modeling in assessing the agricultural enterprise state in an emergency

Simulation modeling in assessing the agricultural enterprise state in an emergency

Vulnerability assessment of coastal tourist attractions to oil spill stress based on a pressure-state-response framework: A case study of the Bohai Sea, China

A multi-objective optimization model for outpatient care delivery with service fairness

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