Optimization of supply chain networks with inclusion of labor: Applications to COVID-19 pandemic disruptions

Nagurney, Anna

doi:10.1016/j.ijpe.2021.108080

Cited by 96 publications

(47 citation statements)

References 20 publications

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“…So, it is not a question of if a pandemic is likely to occur but rather its resulting impact particularly within the supply chain context. As such, the COVID-19 pandemic has energised the relevance of supply chains to the forefront in both practice and in the news and is currently stimulating the investigation of theoretical as well as empirical constructs by academics ( Nagurney, 2021b ). For instance, Govindan et al (2020) attested to the long-term demand disruptions and increasing propagation of the COVID-19 and then developed an effective model for demand management than can break down the propagation chain and generally mitigate disruptions in the healthcare supply chains.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For instance, Govindan et al (2020) attested to the long-term demand disruptions and increasing propagation of the COVID-19 and then developed an effective model for demand management than can break down the propagation chain and generally mitigate disruptions in the healthcare supply chains. Nagurney (2021b) noted that the COVID-19 pandemic led to labour disruptions in supply chains and further developed a game theory of firms competing non-cooperatively in the production, storage and ultimate distribution of their differentiated products in the presence of labour constraints. Likewise, some researchers consider response strategies as a significant moderator of the COVID-19 pandemic’s impact in various supply chain environments.…”

Section: Literature Reviewmentioning

confidence: 99%

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Investigating the COVID-19 pandemic’s impact on sustainable supplier selection in the Nigerian manufacturing sector

Orji

Ojadi

2021

Computers & Industrial Engineering

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Over the years, sustainable supplier selection (SSS) has become increasingly popular among scholars and practitioners as a viable means to actualize supply chain sustainability. Little, however, is known about the impact of the COVID-19 pandemic on sustainable supplier selection particularly in the manufacturing sector. In this paper, we present pandemic response strategies as a significant aspect of the COVID-19 pandemic’s impact and investigate the relative importance of such strategies in SSS implementation. Drawing upon a rich data pool from the Nigerian manufacturing sector, we proposed an integrated multi-criteria decision making (MCDM) methodology to analyse the interrelationships between the COVID-19 pandemic response strategies and Triple-Bottom-Line (TBL) criteria for SSS. Our analysis shows that economic criteria and pandemic response strategies are the highest ranked in terms of relative importance and thereby pinpoints the need for manufacturing firms to emphasize such during SSS implementation in the COVID-19 pandemic. Specifically, quality, cost, use of personal protective equipment and use of information technologies for customer demand prediction are inferred as highly significant in SSS implementation in the COVID-19 pandemic era. Furthermore, the efficiency of the proposed methodology was validated by a comparative analysis with other MCDM methods. Therefore, this study presents implications on the significance of pandemic response strategies in SSS and thereby enriches literature on the COVID-19 pandemic’s impact on supply chains.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Investigating the COVID-19 pandemic’s impact on sustainable supplier selection in the Nigerian manufacturing sector

Orji

Ojadi

2021

Computers & Industrial Engineering

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“…Nagurney [28] developed a supply chain network using mathematical modeling concentrated on labor availability during the COVID-19 pandemic for industries and businesses. In other researches considering COVID-19 circumstances, she and her collaborators also carried out studies on a variety of subjects, including presenting a model for demand competition on medical supplies and designing supply chain networks for perishable food [28] , [29] , [30] , [31] .…”

Section: Literature Reviewmentioning

confidence: 99%

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

Mosallanezhad

Chouhan

Paydar

et al. 2021

Applied Soft Computing

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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.

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“…The results indicated that with increasing demand, the amount of released carbon dioxide (CO2) increases sharply. Nagurney [29] proposed a mathematical model to manage the blood supply chain in the COVID-19 pandemic condition. They investigated fixed and elastic demand along with the availability of personnel.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They considered the scenario-based on the inclusion of labor. One of the advantages of our research over Nagurney [29] is the estimation of blood demand by the simulation approach and considering blood substitutability. Rastegar et al.…”

Section: Literature Reviewmentioning

confidence: 99%

A stochastic bi-objective simulation–optimization model for plasma supply chain in case of COVID-19 outbreak

Shirazi

Kia

Ghasemi

2021

Applied Soft Computing

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As of March 24, 2020, the Food and Drug Administration (FDA) authorized to bleed the newly recovered from Coronavirus Disease 2019 (COVID-19), i.e., the ones whose lives were at risk, separate Plasma from their blood and inject it to COVID-19 patients. In many cases, as observed the plasma antibodies have cured the disease. Therefore, a four-echelon supply chain has been designed in this study to locate the blood collection centers, to find out how the collection centers are allocated to the temporary or permanent plasma-processing facilities, how the temporary facilities are allocated to the permanent ones, along with determining the allocation of the temporary and permanent facilities to hospitals. A simulation approach has been employed to investigate the structure of COVID-19 outbreak and to simulate the quantity of plasma demand. The proposed bi-objective model has been solved in small and medium scales using -constraint method, Strength Pareto Evolutionary Algorithm II (SPEA-II), Non-dominated Sorting Genetic Algorithm II (NSGA-II), Multi-Objective Grey Wolf Optimizer (MOGWO) and Multi Objective Invasive Weed Optimization algorithm (MOIWO) approaches. One of the novelties of this research is to study the system dynamic structure of COVID-19’s prevalence so that to estimate the required plasma level by simulation. Besides, this paper has focused on blood substitutability which is becoming increasingly important for timely access to blood. Due to shorter computational time and higher solution quality, MOIWO is selected to solve the proposed model for a large-scale case study in Iran. The achieved results indicated that as the plasma demand increases, the amount of total system costs and flow time rise, too. The proposed simulation model has also been able to calculate the required plasma demand with 95% confidence interval.

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Optimization of supply chain networks with inclusion of labor: Applications to COVID-19 pandemic disruptions

Cited by 96 publications

References 20 publications

Investigating the COVID-19 pandemic’s impact on sustainable supplier selection in the Nigerian manufacturing sector

Investigating the COVID-19 pandemic’s impact on sustainable supplier selection in the Nigerian manufacturing sector

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

A stochastic bi-objective simulation–optimization model for plasma supply chain in case of COVID-19 outbreak

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