A carbon-constrained stochastic optimization model with augmented multi-criteria scenario-based risk-averse solution for reverse logistics network design under uncertainty

Yu, Hao; Solvang, Wei Deng

doi:10.1016/j.jclepro.2017.07.066

Cited by 73 publications

(50 citation statements)

References 53 publications

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“…Over the last two decades, quantitative optimization models and computational methods have been extensively investigated in order to improve the decision-making on reverse logistics network design at both strategic and operational levels [22,24]. With the implementation of different techniques, these decision-support models focused mainly on the optimization of economic efficiency [25][26][27][28], environmental impact [23,[28][29][30], potential job creation as well as other socio-economic impact factors [31]. The effectiveness of these optimization models and computational methods have been validated in a large variety of industries and business sectors [32][33][34][35].…”

Section: Reverse Logistics Models For Medical Wastementioning

confidence: 99%

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Sun

Solvang

et al. 2020

IJERPH

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273

234

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The outbreak of an epidemic disease may pose significant treats to human beings and may further lead to a global crisis. In order to control the spread of an epidemic, the effective management of rapidly increased medical waste through establishing a temporary reverse logistics system is of vital importance. However, no research has been conducted with the focus on the design of an epidemic reverse logistics network for dealing with medical waste during epidemic outbreaks, which, if improperly treated, may accelerate disease spread and pose a significant risk for both medical staffs and patients. Therefore, this paper proposes a novel multi-objective multi-period mixed integer program for reverse logistics network design in epidemic outbreaks, which aims at determining the best locations of temporary facilities and the transportation strategies for effective management of the exponentially increased medical waste within a very short period. The application of the model is illustrated with a case study based on the outbreak of the coronavirus disease 2019 in Wuhan, China. Even though the uncertainty of the future COVID-19 spread tendency is very high at the time of this research, several general policy recommendations can still be obtained based on computational experiments and quantitative analyses. Among other insights, the results suggest installing temporary incinerators may be an effective solution for managing the tremendous increase of medical waste during the COVID-19 outbreak in Wuhan, but the location selection of these temporary incinerators is of significant importance. Due to the limitation on available data and knowledge at present stage, more real-world information are needed to assess the effectiveness of the current solution.

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Section: Reverse Logistics Models For Medical Wastementioning

confidence: 99%

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Sun

Solvang

et al. 2020

IJERPH

Self Cite

273

234

View full text Add to dashboard Cite

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“…(4) the construction cost, maximum disposal capacity and the number of jobs available at each site are known. (6) The unit processing cost of waste products is known, and the unit transportation cost is known and uniformly distributed.…”

Section: Model Hypothesismentioning

confidence: 99%

“…Constraint (4) indicates that the initial collection location can recover all scrap vehicles; (5) indicates that the processed quantity of i initial collection point equals the number of shipments to all pretreatment centers; (6) indicates that the processed quantity of j pretreatment center equals the number of all initial collection points shipped to here; (7) The number of products u processed by the u remanufacturing centre of the disassembly product is equal to the number of u transported from all pretreatment centers; (8) the amount of transportation from the landfill is equal to the amount of garbage produced by the pretreatment center; (9) the amount of u disassembly product in all the remanufacturing centers is equal to the amount of disassembly from all the scrapped cars in the pretreatment center; (10) represents the sales volume of the u disassembly product equal to its production in the corresponding remanufacturing center; Formula (11) -(12) denote capacity constraints for alternative locations;…”

Section: Constraint Conditionmentioning

confidence: 99%

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Design of reverse logistics network for the end-of-life automobiles based on sustainable development

Liu¹,

Zhang²

2019

AJERR

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From the point of view of sustainable development, a multi-objective mixed integer model to solve the problem of location and flow distribution of reverse logistics network of end-of-life automobiles. To reflect the various aspects of sustainable development, not only to minimize the objectives of economic cost and environmental cost, at the same time with the maximization of social benefits as the goal. Combined with the case, using the ideal point method by using lingo, it is concluded that the sustainable of scrapped automobile reverse logistics network optimization scheme. In addition, the impact of government subsidy on the sustainability of reverse logistics network is analyzed. In addition, the uncertainty of product recovery and the influence of government subsidy on the sustainable development of reverse logistics network are analyzed. The results show that end-oflife automobiles with more dismantled products have a greater impact on the sustainability of reverse logistics network, and government subsidies have an ideal interval to make the sustainability of reverse logistics network reach the best state.ABSTRACT https://escipub.com/american-journal-of-educational-research-and-reviews/ 1 LIU Kun, ZHANG Rong, AJERR, 2019; 4:58 https://escipub.com/american-journal-of-educational-research-and-reviews/ 2

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“…Nevertheless, an inadequately designed reverse logistics system will decrease firms' profitability and at the same time causing significant environmental and social problems. Hence, developing an innovative decisionmaking instrument for RL system is of significant importance (Yu & Solvang, 2017). RL reflects a very effective solution for value recovery from end-of-life and end-of-use products (Yu & Solvang, 2016).…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of reverse e-logistics’ solution in Asia and Europe

Majzoub

Davidavičienė

2019

Proceedings of 6th International Scientific Conference Contemporary Issues in Business, Management and Economics Engineering ‘2

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Purpose – to make comparative analysis of the most successful reverse e-logistics’ solution in Asia and Europe to identify models and methods for solving efficiency and sustainability issues in these areas. Research methodology – the research methodology implemented is composed of literature review, synthesis, and comparative analysis. Findings – certain solutions implemented such as omni-channels, and Multi-criteria decision making (MCDM) in Asia, and selecting the best third-party reverse logistics providers (3PRLPs), and green suppliers in Europe were able to increase the efficiency of reverse e-logistics’ performance. Research limitations – the lack of enough researches done in the field of RL in the Middle East created obstacles in double checking the work presented in this paper because more resources are needed to confirm significantly the results. As for future recommendations, further researches should be conducted in the Middle East. Practical implications – the results found can be implemented in those firms who are still suffering inefficiencies and high costs in their reverse e-logistics’ activities. Originality/Value – this research made a comparison study between solutions implemented in Europe and Asia in head-to-head comparison in such a way it gave an originalitity of these values since no previous researches and studies were conducted in that comparative way before.

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A carbon-constrained stochastic optimization model with augmented multi-criteria scenario-based risk-averse solution for reverse logistics network design under uncertainty

Abstract: A carbon-constrained stochastic optimization model with augmented multi-criteria scenario-based risk-averse solution for reverse logistics network design under uncertainty,

Cited by 73 publications

References 53 publications

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Design of reverse logistics network for the end-of-life automobiles based on sustainable development

Comparative analysis of reverse e-logistics’ solution in Asia and Europe

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