ABSTRACT
As cruise ships call at many ports and passengers come from all over the world, it is very easy to carry viruses on cruise ships. Under the control of the epidemic situation on board, the solid waste generated by them should be scientifically treated to prevent the spread of infectious diseases such as COVID-19 pneumonia. Therefore, Reasonable selection of waste disposal ports and formulation of unloading plans are directly related to the resumption of cruise operations. This study considers the cost and risk of waste disposal, uses robust optimization to deal with waste volume, increases the scenarios of port service interruption due to epidemics and other reasons, and proposes a variety of emergency strategies. Finally, the relevant strategies are selected according to the decision-maker's preference for cost and risk;By solving the relevant examples, the optimal choice of the cruise ship waste disposal port under the epidemic situation is given, which verifies the validity and feasibility of the model. The research helps to improve the management of cruise waste during the post-epidemic period, and has practical value and guiding significance for the normal operation and development of the global cruise market. © 2023 SPIE.
ABSTRACT
As cruise ships call at many ports and passengers come from all over the world, it is very easy to carry viruses on cruise ships. Under the control of the epidemic situation on board, the solid waste generated by them should be scientifically treated to prevent the spread of infectious diseases such as COVID-19 pneumonia. Therefore, Reasonable selection of waste disposal ports and formulation of unloading plans are directly related to the resumption of cruise operations. This study considers the cost and risk of waste disposal, uses robust optimization to deal with waste volume, increases the scenarios of port service interruption due to epidemics and other reasons, and proposes a variety of emergency strategies. Finally, the relevant strategies are selected according to the decision-maker's preference for cost and risk;By solving the relevant examples, the optimal choice of the cruise ship waste disposal port under the epidemic situation is given, which verifies the validity and feasibility of the model. The research helps to improve the management of cruise waste during the post-epidemic period, and has practical value and guiding significance for the normal operation and development of the global cruise market. © 2023 SPIE.
ABSTRACT
In order to improve the scientificity of site selection decision⁃making of emergency medical facilities for rural public health emergencies, based on the characteristics of public health emergencies with rapid spread and strong harmfulness of corona virus disease 2019(COVID-19), according to the design standards of emergency medical facilities, taking into account the characteristics of small rural medical budget and rugged emergency roads, firstly, six influencing factors of engineering geological conditions, unit cost, infection rate, arrival time, site scale and service coverage area of alternative sites of facilities were selected. The Entropy value method(EVM) method and analytic hierarchy process(AHP) method were effectively combined to determine the weight of influencing factors. Secondly, a multi⁃objective location model considering the minimum sum of the distance from patients to emergency medical facilities and the optimal comprehensive evaluation value of the selected emergency medical facilities was established. Then, an IPSO algorithm was designed to solve the model and get the location decision. Finally, some villages in Tianmen city were selected for empirical analysis to verify the effectiveness of the model algorithm. The results show that infection rate and unit cost are the main influencing factors for the construction of emergency medical facilities. IPSO algorithm selects three emergency medical facilities, which can meet the treatment needs of patients in eight villages, and ensure that patients can seek medical treatment within 4-7 minutes,providing guarantee for efficient epidemic prevention and control activities. © 2023 China Safety Science Journal. All rights reserved.
ABSTRACT
In order to improve the scientificity of site selection decision⁃making of emergency medical facilities for rural public health emergencies, based on the characteristics of public health emergencies with rapid spread and strong harmfulness of corona virus disease 2019(COVID-19), according to the design standards of emergency medical facilities, taking into account the characteristics of small rural medical budget and rugged emergency roads, firstly, six influencing factors of engineering geological conditions, unit cost, infection rate, arrival time, site scale and service coverage area of alternative sites of facilities were selected. The Entropy value method(EVM) method and analytic hierarchy process(AHP) method were effectively combined to determine the weight of influencing factors. Secondly, a multi⁃objective location model considering the minimum sum of the distance from patients to emergency medical facilities and the optimal comprehensive evaluation value of the selected emergency medical facilities was established. Then, an IPSO algorithm was designed to solve the model and get the location decision. Finally, some villages in Tianmen city were selected for empirical analysis to verify the effectiveness of the model algorithm. The results show that infection rate and unit cost are the main influencing factors for the construction of emergency medical facilities. IPSO algorithm selects three emergency medical facilities, which can meet the treatment needs of patients in eight villages, and ensure that patients can seek medical treatment within 4-7 minutes,providing guarantee for efficient epidemic prevention and control activities. © 2023 China Safety Science Journal. All rights reserved.
ABSTRACT
OBJECTIVES: Patients are classified according to the severity of their condition and graded according to the diagnosis and treatment capacity of medical institutions. This study aims to correctly assign patients to medical institutions for treatment and develop patient allocation and medical resource expansion schemes among hospitals in the medical network. METHODS: Illness severity, hospital level, allocation matching benefit, distance traveled, and emergency medical resource fairness were considered. A multi-objective planning method was used to construct a patient allocation model during major epidemics. A simulation study was carried out in two scenarios to test the proposed method. RESULTS: (1) The single-objective model obtains an unbalanced solution in contrast to the multi-objective model. The proposed model considers multi-objective problems and balances the degree of patient allocation matching, distance traveled, and fairness. (2) The non-hierarchical model has crowded resources, and the hierarchical model assigns patients to matched medical institutions. (3) In the "demand exceeds supply" situation, the patient allocation model identified additional resources needed by each hospital. CONCLUSION: Results verify the maneuverability and effectiveness of the proposed model. It can generate schemes for specific patient allocation and medical resource amplification and can serve as a quantitative decision-making tool in the context of major epidemics.