Designing Sustainable Recovery Network of End‐of‐Life Product during the COVID‐19 Pandemic: A Real and Applied Case Study

Abbasi, Sina; Daneshmand-Mehr, Maryam; Kanafi, Armin Ghane

doi:10.1155/2022/6967088

Cited by 81 publications

(11 citation statements)

References 73 publications

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“…Constraints (12) and (13) ensure that no relief items will be moved from that center if a DC is not reopened or not allocated. Constraints ( 14) and (15) guarantee that no relief items will be transported to the end of a demand point not allocated to a DC. Constraints ( 16) to (17) represent the maximum capacity of vehicles.…”

Section: Mathematical Modelmentioning

confidence: 99%

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Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

Abbasi,

Vlachos,

Rekabi

et al. 2023

Sustainability

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Current societies must make the necessary plans for effective responses and to reduce the destructive effects of disasters. For this reason, this research has developed a mathematical programming model under uncertainty for earthquake relief and response during COVID-19. In the presented model, the possibility of facility failure is considered according to the intensity of the earthquake and COVID-19 to increase reliability. The simultaneous occurrence of these disasters presents unique challenges in ensuring the timely delivery of essential supplies to affected regions. Distribution centers (DCs) are considered to be of two types: the first type is local DCs, which use public centers and are close to accident points. These types of centers are prone to failure because they use public facilities. Another type is the reliable DCs built outside the disrupted area, which have a very low probability of loss due to spending more money to build them. In addition, to consider the reliability capabilities, the new model has tried to provide a complete model for transportation planning by considering the multi-trip mode of vehicles. Moreover, this model considers distance restriction at the demand point for the first time because of COVID-19 during the earthquake. The proposed network design aims to offer effective solutions in promptly delivering essential items to affected areas, thereby enhancing disaster management strategies and minimizing the impact of these crises on vulnerable populations. Uncertainty is presented using the probability approach based on the modeling scenario and a case study from the city of Istanbul to illustrate the performance of the suggested model. Finally, the suggested mode is solved with an Lp-metric and goal programming (GP) approach. The results show that in this case, the proposed model shows that effective and efficient aid delivery is possible in terms of time and cost. Therefore, it can help crisis managers respond by providing the required budget and appropriate logistics planning.

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Section: Mathematical Modelmentioning

confidence: 99%

“…The lack of preparedness in urban areas has increased vulnerability to devastating and terrifying earthquakes. Preventing these disasters may not be entirely possible, but appropriate planning can help communities be better prepared to face challenges [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

Abbasi,

Vlachos,

Rekabi

et al. 2023

Sustainability

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“…Abbasi et al [43] recently focused on designing sustainable recovery networks during the COVID-19 outbreak. Mosallanezhad et al [44] developed a multi-objective (MO) metaheuristics approach for personal protection during the COVID-19 outbreak.…”

Section: Recent Supply Chain Issuesmentioning

confidence: 99%

Green Closed-Loop Supply Chain Network Design During the Coronavirus (COVID-19) Pandemic: a Case Study in the Iranian Automotive Industry

Abbasi

Daneshmand-Mehr

Kanafi

2022

Environ Model Assess

Self Cite

135

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This paper presents a new mathematical model of the green closed-loop supply chain network (GCLSCN) during the COVID-19 pandemic. The suggested model can explain the trade-offs between environmental (minimizing CO 2 emissions) and economic (minimizing total costs) aspects during the COVID-19 outbreak. Considering the guidelines for hygiene during the outbreak helps us design a new sustainable hygiene supply chain (SC). This model is sensitive to the cost structure. The cost includes two parts: the normal cost without considering the coronavirus pandemic and the cost with considering coronavirus. The economic novelty aspect of this paper is the hygiene costs. It includes disinfection and sanitizer costs, personal protective equipment (PPE) costs, COVID-19 tests, education, medicines, vaccines, and vaccination costs. This paper presents a multi-objective mixed-integer programming (MOMIP) problem for designing a GCLSCN during the pandemic. The optimization procedure uses the scalarization approach, namely the weighted sum method (WSM). The computational optimization process is conducted through Lingo software. Due to the recency of the COVID-19 pandemic, there are still many research gaps. Our contributions to this research are as follows: (i) designed a model of the green supply chain (GSC) and showed the better trade-offs between economic and environmental aspects during the COVID-19 pandemic and lockdowns, (ii) designed the hygiene supply chain, (iii) proposed the new indicators of economic aspects during the COVID-19 outbreak, and (iv) have found the positive (reducing CO 2 emissions) and negative (increase in costs) impacts of COVID-19 and lockdowns. Therefore, this study designed a new hygiene model to fill this gap for the COVID-19 condition disaster. The findings of the proposed network illustrate the SC has become greener during the COVID-19 pandemic. The total cost of the network was increased during the COVID-19 pandemic, but the lockdowns had direct positive effects on emissions and air quality.

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“…Managing healthcare and pharmaceutical supply chains using multiple criteria [78]. Incorporating an application case study into the design of a sustainable recovery network of end-of-life products in response to the COVID-19 pandemic by Abbasi et al [1]. While COVID-19 was spreading, Abbasi et al implemented a sustainable supply chain to control CO2 emissions [2].…”

Section: Recent and Covid-19 Investigationsmentioning

confidence: 99%

Performance Measurement of the Sustainable Supply Chain During the COVID-19 Pandemic: A real-life case study

Abbasi

Khalili

Daneshmand-Mehr

et al. 2022

Foundations of Computing and Decision Sciences

Self Cite

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This paper aims to introduce a framework to measure the sustainable performance of the supply chain (SC) during the COVID-19 pandemic. The SC stakeholders in this investigation are Suppliers, Production / Remanufacturing / Refurbishing Centers (Factories), Collection / Distribution Centers, Recycling / Landfill Centers, and Customers. The suggested sustainable supply chain (SSC) performance measurement included three pillars with 23 indicators. To evaluate the overall sustainability of the SC understudy, a composite index has been developed that combines all the indicators to reflect the sustainability performance of the SC. Four steps are involved in creating a composite index:1) measuring the value of indicators, 2) weighing indicators, 3) Using the normalization technique, and 4) Evaluating the overall SSC indicator. The real case in Iran is selected as an illustrative case. Our research contributions are: We suggested a novelty indicator of SSC to better show the economic, environmental, and social tradeoffs during the COVID-19 pandemic and lockdowns. We have found and measured the negative and positive impacts of COVID-19 on aspects of sustainability in SC. Based on the achieved data of the real case study, a numerical example is represented to explain how to calculate the composite index. The main contribution of this paper is the development of SSC indicators during the COVID-19 epidemic.

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Designing Sustainable Recovery Network of End‐of‐Life Product during the COVID‐19 Pandemic: A Real and Applied Case Study

Cited by 81 publications

References 73 publications

Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

Green Closed-Loop Supply Chain Network Design During the Coronavirus (COVID-19) Pandemic: a Case Study in the Iranian Automotive Industry

Performance Measurement of the Sustainable Supply Chain During the COVID-19 Pandemic: A real-life case study

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