A sustainable green reverse logistics plan for plastic solid waste management using TOPSIS method

Sengupta, Dipanjana; Das, Amrit; Bera, Uttam Kumar; Chen, Lin

doi:10.1007/s11356-023-29067-7

Cited by 6 publications

(2 citation statements)

References 78 publications

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“…This paper uses three indicators of demand quantity (QD), regional accessibility (RA), and transportation cost (TC) to evaluate the importance of demand points in the system. Among them, the indicators QD and RA were obtained from Eftihia Nathanaila [42,43]. They believe that alleviating urban transportation and developing comprehensive transportation are two of the most significant features of sustainable cities.…”

Section: Model Development 41 E-topsis For Evaluating the Importance ...mentioning

confidence: 99%

Underground Logistics Network Design for Large-Scale Municipal Solid Waste Collection: A Case Study of Nanjing, China

Liu,

Chen,

et al. 2023

Sustainability

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The challenges arising from the management of municipal solid waste (MSW) have a profound impact on the sustainable development of urban areas. As a sustainable solution, the transportation of MSW underground offers the potential to alleviate traffic congestion and reduce environmental pollution. In this study, we propose the implementation of a large-scale underground waste collection system (UWCS). To begin, a comprehensive operational process for the UWCS is designed based on an intelligent technology system, including facility operation, processing workflow, and technical parameters. Additionally, network planning methods for the UWCS are presented. A mixed-integer linear programming model is formulated with the objective of minimizing total cost. This model determines the optimal location and allocation of nodes within the network, as well as the pipeline layout and flow direction. Given the computational complexity, a hybrid optimization method, namely the genetic greedy algorithms and genetic variable neighborhood search algorithms (GGA-GVNS), is devised to obtain high-quality solutions for the model. Finally, to validate the efficacy of the proposed method, a simulation is conducted in the central city of Nanjing, China. The results demonstrate that the implementation of the UWCS network in Nanjing’s city center can yield an annual benefit of USD 5.99 million. Moreover, a sensitivity analysis reveals further MSW management-related insights and long-term planning strategies.

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Section: Model Development 41 E-topsis For Evaluating the Importance ...mentioning

confidence: 99%

Underground Logistics Network Design for Large-Scale Municipal Solid Waste Collection: A Case Study of Nanjing, China

Liu,

Chen,

et al. 2023

Sustainability

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“…However, some previous studies could only consider the positive items due to the selected methodology. For instance, Sengupta et al [21] and Muninathan et al [22] focused on the main indicators of the carbon emission by the help of TOPSIS technique. Similarly, Paul et al [23] and Tian et al [24] used VIKOR approach to make evaluations regarding the carbon neutrality.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Multidimensional Carbon Neutrality Policies in Transportation Using a Novel Quantum Picture Fuzzy Rough Modeling

Kou,

Pamucar,

Yüksel

et al. 2024

IEEE Trans. Eng. Manage.

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Carbon neutrality policies are of great importance for the transportation sector. Thus, some issues need to be taken into consideration to increase the effectiveness of carbon neutrality policies in this sector. However, the biggest disadvantage of these improvements is that they increase costs. Instead of improving a large number of factors, it is more financially feasible to take action on the ones that are more important. Nevertheless, there are a limited number of studies in which priority analysis is made for the factors affecting this process. Therefore, the main missing part in the literature is that a new study should be made in which the importance weights of these variables are determined. The purpose of this study is to evaluate carbon neutrality policies in transportation industry with a novel decision-making model. First, selected indicators are evaluated by quantum picture fuzzy row sets-based multi-step wise weight assessment ratio analysis (M-SWARA) technique. Secondly, the alternatives for the carbon neutrality policies in this industry are ranked. For this purpose, multi-objective optimization on the basis of ratio analysis (MOORA) methodology is considered with quantum picture fuzzy row sets. The main motivation of making this study is the need for a novel and comprehensive decision-making model. The main reason behind this situation is that most of the existing models could not consider the causal directions among the indicators. Due to this situation, this proposed model is created by using causality relationships between the indicators of carbon neutrality policies in transportation industry. The main contribution of this study is that a new model is proposed by integrating quantum theory and picture fuzzy rough sets. This situation has a positive contribution to make sensitive evaluations. Additionally, a novel approach (M-SWARA) is proposed to weight the criteria so that causality relationship among the determinants can be considered in this process. The findings demonstrate that infrastructure development is the most important factor of effective carbon neutrality policies for transportation industry. Cost is another critical indicator in this respect. On the other hand, according to the ranking results, it is determined that reducing traditional fuels with zero-carbon alternatives is the most essential alternative for the carbon neutrality policies in transportation. It would be appropriate for transportation companies to attach importance to the use of electric vehicles. In this context, government incentives for the use of electric vehicles need to be offered. For example, a tax reduction may increase the use of electric vehicles as it will provide a significant cost advantage.

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Integrated lightweight optimization design of wall thickness, material, and performance of automobile body side structure

Li,

Zhou,

Pan

2024

Struct Multidisc Optim

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A sustainable green reverse logistics plan for plastic solid waste management using TOPSIS method

Cited by 6 publications

References 78 publications

Underground Logistics Network Design for Large-Scale Municipal Solid Waste Collection: A Case Study of Nanjing, China

Underground Logistics Network Design for Large-Scale Municipal Solid Waste Collection: A Case Study of Nanjing, China

Evaluation of Multidimensional Carbon Neutrality Policies in Transportation Using a Novel Quantum Picture Fuzzy Rough Modeling

Integrated lightweight optimization design of wall thickness, material, and performance of automobile body side structure

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