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

doi:10.1016/j.asoc.2021.107809

Cited by 83 publications

(34 citation statements)

References 71 publications

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“…Therefore, disinfectants are used to remove pathogens from surfaces. Given the various methods of transmitting COVID-19 that are known so far, and there may be other unknown ways, prevention is the most important way to deal with COVID-19, which can include disinfection of surfaces and the environment, personal protection equipment (PPE), and vaccinations [ 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ]. There are currently a variety of preventative tools on the market.…”

Section: Preventionmentioning

confidence: 99%

Anti-COVID-19 Nanomaterials: Directions to Improve Prevention, Diagnosis, and Treatment

et al. 2022

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Following the announcement of the outbreak of COVID-19 by the World Health Organization, unprecedented efforts were made by researchers around the world to combat the disease. So far, various methods have been developed to combat this “virus” nano enemy, in close collaboration with the clinical and scientific communities. Nanotechnology based on modifiable engineering materials and useful physicochemical properties has demonstrated several methods in the fight against SARS-CoV-2. Here, based on what has been clarified so far from the life cycle of SARS-CoV-2, through an interdisciplinary perspective based on computational science, engineering, pharmacology, medicine, biology, and virology, the role of nano-tools in the trio of prevention, diagnosis, and treatment is highlighted. The special properties of different nanomaterials have led to their widespread use in the development of personal protective equipment, anti-viral nano-coats, and disinfectants in the fight against SARS-CoV-2 out-body. The development of nano-based vaccines acts as a strong shield in-body. In addition, fast detection with high efficiency of SARS-CoV-2 by nanomaterial-based point-of-care devices is another nanotechnology capability. Finally, nanotechnology can play an effective role as an agents carrier, such as agents for blocking angiotensin-converting enzyme 2 (ACE2) receptors, gene editing agents, and therapeutic agents. As a general conclusion, it can be said that nanoparticles can be widely used in disinfection applications outside in vivo. However, in in vivo applications, although it has provided promising results, it still needs to be evaluated for possible unintended immunotoxicity. Reviews like these can be important documents for future unwanted pandemics.

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Section: Preventionmentioning

confidence: 99%

Anti-COVID-19 Nanomaterials: Directions to Improve Prevention, Diagnosis, and Treatment

et al. 2022

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“…An optimal transportation planning based on supply chain theory was evoked by Mosallanezhad et al. [23] using a multi-objective model. An excellent literature review was presented by Tassone et al.…”

Section: Related Workmentioning

confidence: 99%

Towards an efficient collection and transport of COVID-19 diagnostic specimens using genetic-based algorithms

Tlili

Masri

Krichen

2022

Applied Soft Computing

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The speed by which the COVID-19 pandemic spread throughout the world makes the emergency services unprepared to answer all the patients’ requests. The Tunisian ministry of health established a protocol planning the sample collection from the patients at their location. A triage score is first assigned to each patient according to the symptoms he is showing, and his health conditions. Then, given the limited number of the available ambulances in each area, the location of the patients and the capacity of the nearby hospitals for receiving the testing samples, an ambulance scheduling and routing plan needs to be established so that specimens can be transferred to hospitals in short time. In this paper, we propose to model this problem as a Multi-Origin-Destination Team Orienteering Problem (MODTOP). The objective is to find the optimal one day tour plan for the available ambulances that maximizes the collected scores of visited patients while respecting duration and capacity constraints. To solve this NP-hard problem, two highly effective approaches are proposed which are Hybrid Genetic Algorithm (HGA) and Memetic Algorithm (MA). The HGA combines (i) a k-means construction method for initial population generation and (ii) a one point crossover operator for solution recombination. The MA is an improvement of HGA that integrates an effective local search based on three different neighborhood structures. Computational experiments, supported by a statistical analysis on benchmark data sets, illustrate the efficiency of the proposed approaches. HGA and MA reached the best known solutions in 54.7% and 73.5% of instances, respectively. Likewise, MA reached a relative error of 0.0675% and performed better than four existing approaches. Real-case instances derived from the city of Tunis were also solved and compared with the results of an exact solver Cplex to validate the effectiveness of our algorithm.

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“…Supply chain network design is a strategic issue that helps to select the best combination of a set of facilities to achieve efficient and effective network (Almaraj and Trafalis, 2019) . Designing a distribution network is one of the key issues in the design of the supply chain network, which offers an important potential factor to reduce costs and improve service quality (Margolis et al 2017, Goodarzian et al 2021a, Goodarzian et al 2021b, Mosallanezhad et al 2021. Therefore, the design of supply chain network plays an outstanding role in long-term strategic decision-making (Wu et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Designing a new multi-echelon multi-period closed-loop supply chain network by forecasting demand using time series model: a genetic algorithm

Safaei

Ghasemi

Goodarzian

et al. 2022

Environ Sci Pollut Res

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In the closed-loop supply chain, demand plays a critical role. The flow of materials and commodities in the opposite direction of the normal chain is inevitable too. So, in this paper, a new multi-echelon multi-period closed-loop supply chain network is addressed to minimize the total costs of the network. The considered echelons include suppliers, manufacturers, distribution centers, customers, and recycling and recovery units of components in the proposed network. Also, a linear programming model considering factories' vehicles and rental cars of transportation companies is formulated for the proposed problem. Moreover, the products demand is predicted by Auto-Regressive Integrated Moving Average (ARIMA) time series model to decrease the amount of shortage may happens in the network. To solve the proposed model, GAMS software is used in small-sized problems and a genetic algorithm in large-sized problems is employed.Numerical results show that the proposed model is closer to the real situation and the proposed solution method is efficient. Accordingly, sensitivity analysis is performed on important parameters to show the performance of the proposed model.

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Disaster relief supply chain design for personal protection equipment during the COVID-19 pandemic

Cited by 83 publications

References 71 publications

Anti-COVID-19 Nanomaterials: Directions to Improve Prevention, Diagnosis, and Treatment

Anti-COVID-19 Nanomaterials: Directions to Improve Prevention, Diagnosis, and Treatment

Towards an efficient collection and transport of COVID-19 diagnostic specimens using genetic-based algorithms

Designing a new multi-echelon multi-period closed-loop supply chain network by forecasting demand using time series model: a genetic algorithm

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