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  1. AU=Mosallanezhad Behzad
  2. AU=Rochman Yrina AU=Rochman Yrina
  3. AU="Wang, Hong-Bo"
  4. AU="Zhong, Boyu"
  5. AU=Gimeno-Costa Ricardo AU=Gimeno-Costa Ricardo
  6. AU="Wu, Jiangbo"
  7. AU="MacIntyre, Michael F"
  8. AU="Moon, H K"
  9. AU="Clark, Mindie"
  10. AU="Nichols, Aaron L"
  11. AU="Cash-Goldwasser, Shama"
  12. AU="Christopher B. Daniels"
  13. AU="Wakama, Hitoshi"
  14. AU="Crowe, K"
  15. AU="Merz, Sabine"
  16. AU=Rossolatos George
  17. AU="Nalla, Shahed"
  18. AU="Alvarado, Miriam"
  19. AU="Garduño-Sánchez, Marco"
  20. AU="Khan, Sherbano"
  21. AU="Kakava, Felicia"

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  1. Artikel: The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW).

    Mosallanezhad, Behzad / Gholian-Jouybari, Fatemeh / Cárdenas-Barrón, Leopoldo Eduardo / Hajiaghaei-Keshteli, Mostafa

    Engineering applications of artificial intelligence

    2023  Band 120, Seite(n) 105903

    Abstract: Supply chains have been impacted by the COVID-19 pandemic, which is the most recent worldwide disaster. After the world health organization recognized the latest phenomena as a pandemic, nations became incapacitated to provide the required medical ... ...

    Abstract Supply chains have been impacted by the COVID-19 pandemic, which is the most recent worldwide disaster. After the world health organization recognized the latest phenomena as a pandemic, nations became incapacitated to provide the required medical supplies. In the current situation, the world seeks an essential solution for COVID-19 Pandemic Wastes (CPWs) by pushing the pandemic to a stable condition. In this study, the development of a supply chain network is contrived for CPWs utilizing optimization modeling tools. Also, an IoT platform is devised to enable the proposed model to retrieve real-time data from IoT devices and set them as the model's inputs. Moreover, sustainability aspects are appended to the proposed IoT-enabled model considering its triplet pillars as objective functions. A real case of Puebla city and 15 experiments are used to validate the model. Furthermore, a combination of metaheuristic algorithms utilized to solve the model and also seven evaluation indicators endorse the selection of efficient solution approaches. The evaluation indicators are appointed as the inputs of statistical and multicriteria decision-making hybridization to prioritize the algorithms. The result of the Entropy Weights method and Combined Compromise Solution approach confirms that MOGWO has better performance for the medium-sizes, case study and an overall view. Also, NSHHO outclasses the small-size and large-size experiments.
    Sprache Englisch
    Erscheinungsdatum 2023-01-25
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 0952-1976
    ISSN 0952-1976
    DOI 10.1016/j.engappai.2023.105903
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: Disaster relief supply chain design for personal protection equipment during the COVID-19 pandemic.

    Mosallanezhad, Behzad / Chouhan, Vivek Kumar / Paydar, Mohammad Mahdi / Hajiaghaei-Keshteli, Mostafa

    Applied soft computing

    2021  Band 112, Seite(n) 107809

    Abstract: The global epidemic caused by novel coronavirus continues to be a crisis in the world and a matter of concern. The way the epidemic has wreaked havoc on the international level has become difficult for the healthcare systems to supply adequately personal ...

    Abstract The global epidemic caused by novel coronavirus continues to be a crisis in the world and a matter of concern. The way the epidemic has wreaked havoc on the international level has become difficult for the healthcare systems to supply adequately personal protection equipment for medical personnel all over the globe. In this paper, considering the COVID-19 outbreak, a multi-objective, multi-product, and multi-period model for the personal protection equipment demands satisfaction aiming to optimize total cost and shortage, simultaneously, is developed. The model is embedded with instances and validated by both modern and classic multi-objective metaheuristic algorithms. Moreover, the Taguchi method is exploited to set the metaheuristic into their best performances by finding their parameters' optimum level. Furthermore, fifteen test examples are designed to prove the established PPE supply chain model and tuned algorithms' applicability. Among the test examples, one is related to a real case study in Iran. Finally, metaheuristics are evaluated by a series of related metrics through different statistical analyses. It can be concluded from the obtained results that solution methods are practical and valuable to achieve the efficient shortage level and cost.
    Sprache Englisch
    Erscheinungsdatum 2021-08-18
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1568-4946
    ISSN 1568-4946
    DOI 10.1016/j.asoc.2021.107809
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

    Fernleihe an ZB MED

    Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

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