An extended robust mathematical model to project the course of COVID-19 epidemic in Iran

Lotfi, Reza; Kheiri, Kiana; Sadeghi, Ali; Tirkolaee, Erfan Babaee

doi:10.1007/s10479-021-04490-6

Cited by 48 publications

(27 citation statements)

References 44 publications

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“…There are a few research articles devoted to the application of these predictive models for COVID-19 propagation. Lotfi et al [57] proposed a robust polynomial regression model for estimation of new COVID-19 cases dynamics on a country level. The model is tested on statistics from Spring 2020 (at the early stage of the COVID-19 pandemic).…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Adapting supply chain operations in anticipation of and during the COVID-19 pandemic

Rozhkov

Ivanov

Blackhurst

et al. 2022

Omega

127

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Section: Background and Literature Reviewmentioning

confidence: 99%

Adapting supply chain operations in anticipation of and during the COVID-19 pandemic

Rozhkov

Ivanov

Blackhurst

et al. 2022

Omega

127

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“…Furthermore, such support concentrates on the coordination of the economic and environmental sustainability via cooperation and non-cooperation modes. Table 1 summarizes our main contributions to the different streams of the literature refer to other scholars [28] [31].…”

Section: Government Subsidymentioning

confidence: 99%

Impact of government subsidy on the remanufacturing industry regarding technology cooperation

Zhang

Hou

et al. 2023

JIMO

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<p style='text-indent:20px;'>Under the environmental concerns of consumers, this study uses game theory to analyze the impact of government subsidies on remanufacturing and environmental protection. The original equipment manufacturer (OEM) and the independent remanufacturer (IR) can select cooperation and non-cooperation, which are facilitated by government subsidies, in two ways, including technology licensing and R & D joint-venture. We design a market where consumers care about the environment, involving the government, an OEM and an IR. The study finds that the quality level of products and the proportion of technology transfer are important factors influencing cooperation strategies. If the government wants to develop high-quality remanufactured products to make up for the lack of new products, it should increase remanufacturing subsidies to help remanufacturers obtain technology. If the government wants to reduce environmental pollution through the development of remanufacturing, the level of technology transfer of remanufactured products that can be mass-produced is generally not high.We compare the profit and environmental performance of the three strategies under the government subsidy policy and find that when the government subsidy is moderate, we can realize the triple win of enterprise and environment.</p>

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“…Jha et al ( 2021 ) used an asymptomatic-situation-based model to forecast the effect of epidemic outbreaks on SCs. Karwasra et al, ( 2021 ) applied graph theory, along with interpretive structural modeling (ISM), to assess the dairy SC vulnerability during the COVID-19 pandemic, and Lotfi et al ( 2022 ) employed regression-based robust optimization to predict the number of patients during the COVID-19 pandemic.…”

Section: Research On Covid-19 In Commercial Supply Chainsmentioning

confidence: 99%

A mathematical model for managing the multi-dimensional impacts of the COVID-19 pandemic in supply chain of a high-demand item

et al. 2022

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The COVID-19 pandemic has wreaked havoc across supply chain (SC) operations worldwide. Specifically, decisions on the recovery planning are subject to multi-dimensional uncertainty stemming from singular and correlated disruptions in demand, supply, and production capacities. This is a new and understudied research area. In this study, we examine, SC recovery for high-demand items (e.g., hand sanitizer and face masks). We first developed a stochastic mathematical model to optimise recovery for a three-stage SC exposed to the multi-dimensional impacts of COVID-19 pandemic. This allows to generalize a novel problem setting with simultaneous demand, supply, and capacity uncertainty in a multi-stage SC recovery context. We then developed a chance-constrained programming approach and present in this article a new and enhanced multi-operator differential evolution variant-based solution approach to solve our model. With the optimisation, we sought to understand the impact of different recovery strategies on SC profitability as well as identify optimal recovery plans. Through extensive numerical experiments, we demonstrated capability towards efficiently solving both small- and large-scale SC recovery problems. We tested, evaluated, and analyzed different recovery strategies, scenarios, and problem scales to validate our approach. Ultimately, the study provides a useful tool to optimise reactive adaptation strategies related to how and when SC recovery operations should be deployed during a pandemic. This study contributes to literature through development of a unique problem setting with multi-dimensional uncertainty impacts for SC recovery, as well as an efficient solution approach for solution of both small- and large-scale SC recovery problems. Relevant decision-makers can use the findings of this research to select the most efficient SC recovery plan under pandemic conditions and to determine the timing of its deployment.

show abstract

An extended robust mathematical model to project the course of COVID-19 epidemic in Iran

Cited by 48 publications

References 44 publications

Adapting supply chain operations in anticipation of and during the COVID-19 pandemic

Adapting supply chain operations in anticipation of and during the COVID-19 pandemic

Impact of government subsidy on the remanufacturing industry regarding technology cooperation

A mathematical model for managing the multi-dimensional impacts of the COVID-19 pandemic in supply chain of a high-demand item

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