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

doi:10.1016/j.engappai.2023.105903

Cited by 32 publications

(3 citation statements)

References 108 publications

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“…In a recent case that serves as a reflection of blockchain capabilities provides an example amidst Covid-19 Pandemic. The study proposes an IoT platform for Covid-19 Pandemic Waste (CPWs) -Reverse Supply Chain (RSC) encompassing four layers, including configuration, process, application, and users [54]. In the configuration layer, IoT devices like sensors, monitors, and CCTVs are strategically positioned across CPW production, transportation, and treatment locations, interconnected via Wi-Fi, Bluetooth, and the Internet.…”

Section: Cluster 1: Blockchain and Artificial Intelligence In Manufac...mentioning

confidence: 99%

A Cluster-Based Bibliometric Analysis of the Emerging Technological Landscape in Logistics using Vosviewer

Davin Arkan Admoko,

Bambang Darmawan,

A. Ana

et al. 2024

ARASET

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Emerging technology presents itself as a futuristic solution since its early development stage in the industry. Concurrently, the industry has proposed framework implementations as well as efforts to integrate emerging technologies in the supply chain, particularly in logistics. This study aimed to unveil the applicability of either supply chain or logistic functions in the present industry. This study used Publish and Perish to mine academic document data based on the keyword ‘Logistic’ and ‘Emerging technology’ in the past five years. Furthermore, the retrieved data were compiled and processed as a bibliographical map to visualize relevant clusters as the bottom-line discussion for this study. Five clusters had different items/keywords associated with them, excluding clusters three and four which were discussed in tandem. Cluster one revealed that AI and blockchain could support manufacturers for a circular economy business model through reverse logistics operations in the pandemic. Cluster two was a bigger picture discussing enhancement efficiency and risk reduction in the supply chain using AI, blockchain, and IoT. Clusters three and four had overlapping keywords specifying the discussion of blockchain implementation for the Agri-industry in China. Finally, cluster five reaffirmed the conceptualism of emerging technology integration for transportation from other clusters. Despite a unanimous agreement on the potential use of emerging technologies, challenges were also found, such as complex implementation, uncertain investment, and technology immaturity accompany. Thus, as the implication of this research, it reveals the capabilities and issues of the implementation of emerging technologies within multiple aspects of logistics and supply chain.

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Section: Cluster 1: Blockchain and Artificial Intelligence In Manufac...mentioning

confidence: 99%

A Cluster-Based Bibliometric Analysis of the Emerging Technological Landscape in Logistics using Vosviewer

Davin Arkan Admoko,

Bambang Darmawan,

A. Ana

et al. 2024

ARASET

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“…Also, they presented a variety of function relations to measure the amount of produced waste in terms of COVID-19 parameters in Iran. Mosallanezhad et al ( 2023 ) designed a supply chain network for COVID-19 Pandemic Wastes (CPWs) employing devices for optimization modeling. Furthermore, they developed an IoT platform to allow the presented model for real-time data retrieval from IoT tools as inputs for the model.…”

Section: Related Literaturementioning

confidence: 99%

Resilient and social health service network design to reduce the effect of COVID-19 outbreak

2023

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With the severe outbreak of the novel coronavirus (COVID-19), researchers are motivated to develop efficient methods to face related issues. The present study aims to design a resilient health system to offer medical services to COVID-19 patients and prevent further disease outbreaks by social distancing, resiliency, cost, and commuting distance as decisive factors. It incorporated three novel resiliency measures (i.e., health facility criticality, patient dissatisfaction level, and dispersion of suspicious people) to promote the designed health network against potential infectious disease threats. Also, it introduced a novel hybrid uncertainty programming to resolve a mixed degree of the inherent uncertainty in the multi-objective problem, and it adopted an interactive fuzzy approach to address it. The actual data obtained from a case study in Tehran province in Iran proved the strong performance of the presented model. The findings show that the optimum use of medical centers’ potential and the corresponding decisions result in a more resilient health system and cost reduction. A further outbreak of the COVID-19 pandemic is also prevented by shortening the commuting distance for patients and avoiding the increasing congestion in the medical centers. Also, the managerial insights show that establishing and evenly distributing camps and quarantine stations within the community and designing an efficient network for patients with different symptoms result in the optimum use of the potential capacity of medical centers and a decrease in the rate of bed shortage in the hospitals. Another insight drawn is that an efficient allocation of the suspect and definite cases to the nearest screening and care centers makes it possible to prevent the disease carriers from commuting within the community and increase the coronavirus transmission rate.

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“…Coronavirus (COVID-19) has posed a threat to global health and hampered the global economy, as it has stagnated ( Mosallanezhad et al, 2023 ). The COVID-19 outbreak is not only a global health emergency, it is also a labor market and economic challenge, which is increasing the number of infections ( Gamal et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era

Moadab¹,

Kordi²,

Paydar³

et al. 2023

Expert Systems with Applications

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

Cited by 32 publications

References 108 publications

A Cluster-Based Bibliometric Analysis of the Emerging Technological Landscape in Logistics using Vosviewer

A Cluster-Based Bibliometric Analysis of the Emerging Technological Landscape in Logistics using Vosviewer

Resilient and social health service network design to reduce the effect of COVID-19 outbreak

Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era

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