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  1. Article ; Online: Hazardous infectious waste collection and government aid distribution during COVID-19: A robust mathematical leader-follower model approach.

    Valizadeh, Jaber / Hafezalkotob, Ashkan / Seyed Alizadeh, Seyed Mehdi / Mozafari, Peyman

    Sustainable cities and society

    2021  Volume 69, Page(s) 102814

    Abstract: The outbreak of COVID-19 has posed significant challenges to governments across the world. The increase in hazardous infectious waste (HIW) caused by the pandemic is associated with the risk of transmitting the virus. In this study, hazardous waste ... ...

    Abstract The outbreak of COVID-19 has posed significant challenges to governments across the world. The increase in hazardous infectious waste (HIW) caused by the pandemic is associated with the risk of transmitting the virus. In this study, hazardous waste includes infectious waste generated both by individuals and by hospitals during the COVID-19 pandemic. To control the outbreak by maintaining social distance and home quarantine protocols, daily necessities and health supplies must be provided to the people affected. Governments play an essential role in the management of the crisis, creating an elaborate plan for collecting HIW and providing necessities and health supplies. This paper proposes a leader-follower approach for hazardous infectious waste collection and government aid distribution to control COVID-19. At the top level of the model, government policies are designed to support people by distributing daily necessities and health supplies, and to support contractors by waste collection. The lower level of the model is related to the operational decisions of contractors with limited capacities. Due to the potential risk of virus transmission via contaminated waste, the proposed model considers the complications imposed on contractors at the lower level. Applying a stochastic programming approach, four possible scenarios are examined, dependent of the severity of the outbreak. As a solution approach, the Benders decomposition method is combined with Karush-Kuhn-Tucker conditions. The results show that government support, in addition to much better management of citizen demand, can control the spread of the virus by implementing quarantine decisions.
    Language English
    Publishing date 2021-02-26
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2210-6715
    ISSN (online) 2210-6715
    DOI 10.1016/j.scs.2021.102814
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic.

    Valizadeh, Jaber / Boloukifar, Shadi / Soltani, Sepehr / Jabalbarezi Hookerd, Ehsan / Fouladi, Farzaneh / Andreevna Rushchtc, Anastasia / Du, Bo / Shen, Jun

    Expert systems with applications

    2022  Volume 214, Page(s) 119009

    Abstract: The COVID-19 pandemic has affected people's lives worldwide. Among various strategies being applied to addressing such a global crisis, public vaccination has been arguably the most appropriate approach to control a pandemic. However, vaccine supply ... ...

    Abstract The COVID-19 pandemic has affected people's lives worldwide. Among various strategies being applied to addressing such a global crisis, public vaccination has been arguably the most appropriate approach to control a pandemic. However, vaccine supply chain and management have become a new challenge for governments. In this study, a solution for the vaccine supply chain is presented to address the hurdles in the public vaccination program according to the concerns of the government and the organizations involved. For this purpose, a robust bi-level optimization model is proposed. At the upper level, the risk of mortality due to the untimely supply of the vaccine and the risk of inequality in the distribution of the vaccine is considered. All costs related to the vaccine supply chain are considered at the lower level, including the vaccine supply, allocation of candidate centers for vaccine injection, cost of maintenance and injection, transportation cost, and penalty cost due to the vaccine shortage. In addition, the uncertainty of demand for vaccines is considered with multiple scenarios of different demand levels. Numerical experiments are conducted based on the vaccine supply chain in Kermanshah, Iran, and the results show that the proposed model significantly reduces the risk of mortality and inequality in the distribution of vaccines as well as the total cost, which leads to managerial insights for better coordination of the vaccination network during the COVID-19 pandemic
    Language English
    Publishing date 2022-10-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2017237-0
    ISSN 0957-4174
    ISSN 0957-4174
    DOI 10.1016/j.eswa.2022.119009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic

    Valizadeh, Jaber / Aghdamigargari, Mehri / Jamali, Ali / Aickelin, Uwe / Mohammadi, Setare / Khorshidi, Hadi Akbarzadeh / Hafezalkotob, Ashkan

    Journal of cleaner production. 2021 Sept. 15, v. 315

    2021  

    Abstract: The COVID-19 virus in a short time has caused a terrible crisis that has been spread around the world. This crisis has affected human life in several dimensions, one of which is a sharp increase in urban waste. This increase in waste volume during the ... ...

    Abstract The COVID-19 virus in a short time has caused a terrible crisis that has been spread around the world. This crisis has affected human life in several dimensions, one of which is a sharp increase in urban waste. This increase in waste volume during the pandemic, in addition to the intense increase in costs associated with the risks of virus contagion through infectious waste. In this study, a hybrid mathematical modelling approach including a Bi-level programming model for infectious waste management has been proposed. At the higher level of the model, government decisions regarding the total costs related to infectious waste must be minimized. At this level, the collected infectious waste is converted into energy, the revenue of which is returned to the system. The lower level relates to the risks of virus contagion through infectious waste, which can be catastrophic if ignored. This study has considered the low, medium, high and very high prevalence scenarios as key parameters for the production of waste. In addition, the uncertainty in citizens’ demand for waste collection was also included in the proposed model. The results showed that by energy production from waste during the COVID-19 pandemic, 34% of the total cost of collecting and transporting waste can be compensated. Finally, this paper obtained useful managerial insights using the data of Kermanshah city as a real case.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; energy ; hazardous waste ; humans ; income ; pandemic ; uncertainty ; viruses ; waste management
    Language English
    Dates of publication 2021-0915
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2021.128157
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic.

    Valizadeh, Jaber / Aghdamigargari, Mehri / Jamali, Ali / Aickelin, Uwe / Mohammadi, Setare / Khorshidi, Hadi Akbarzadeh / Hafezalkotob, Ashkan

    Journal of cleaner production

    2021  Volume 315, Page(s) 128157

    Abstract: The COVID-19 virus in a short time has caused a terrible crisis that has been spread around the world. This crisis has affected human life in several dimensions, one of which is a sharp increase in urban waste. This increase in waste volume during the ... ...

    Abstract The COVID-19 virus in a short time has caused a terrible crisis that has been spread around the world. This crisis has affected human life in several dimensions, one of which is a sharp increase in urban waste. This increase in waste volume during the pandemic, in addition to the intense increase in costs associated with the risks of virus contagion through infectious waste. In this study, a hybrid mathematical modelling approach including a Bi-level programming model for infectious waste management has been proposed. At the higher level of the model, government decisions regarding the total costs related to infectious waste must be minimized. At this level, the collected infectious waste is converted into energy, the revenue of which is returned to the system. The lower level relates to the risks of virus contagion through infectious waste, which can be catastrophic if ignored. This study has considered the low, medium, high and very high prevalence scenarios as key parameters for the production of waste. In addition, the uncertainty in citizens' demand for waste collection was also included in the proposed model. The results showed that by energy production from waste during the COVID-19 pandemic, 34% of the total cost of collecting and transporting waste can be compensated. Finally, this paper obtained useful managerial insights using the data of Kermanshah city as a real case.
    Language English
    Publishing date 2021-07-05
    Publishing country Netherlands
    Document type Journal Article
    ISSN 0959-6526
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2021.128157
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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