Multi-objective combinatorial optimization analysis of the recycling of retired new energy electric vehicle power batteries in a sustainable dynamic reverse logistics network

Mu, Nengye; Wang, Yuanshun; Chen, Zhen‐Song; Xin, Peiyuan; Deveci, Muhammet; Pedrycz, Witold

doi:10.1007/s11356-023-25573-w

Cited by 13 publications

(5 citation statements)

References 57 publications

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“…In the pursuit of efficient and sustainable reverse logistics, scholars have explored a variety of methodologies, with most researchers focusing on obtaining utility from goods nearing the end of their life cycles, this has been studied in a great detail by Ding et al (2023) for construction industry and Mu et al (2023) for retired new energy vehicle power batteries. These endeavors extend beyond theoretical discussions, as illustrated by Guo et al (2017), who have meticulously planned two-stage forward and reverse logistics networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Objective Optimization for Economic and Environmental Sustainability in Apparel E-commerce Reverse Logistics

Sharma,

Saraswat,

Sharma

et al. 2024

Int. j. math. eng. manag. sci.

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In the realm of supply chains, the necessity of a robust reverse logistics network is paramount. While substantial efforts have been directed towards enhancing forward logistics, the domain of reverse logistics remains underdeveloped. This article presents an approach that centers on the formulation of a reverse logistics network for an Indian e-commerce company specializing in apparel sales. Through the construction of single and multi-objective integer programs, the aim is to simultaneously mitigate economic costs and environmental repercussions. To tactfully address environmental concerns while maintaining cost efficiency, different network designs are proposed via the utilization of multi-objective Integer programs, solved using IBM ILOG CPLEX Optimization Studio an optimization software based upon simplex algorithm. The Environmental-Cost-Efficiency (ECE) framework is used to evaluate the multiple network designs. Scrutinizing the intricate equilibrium between costs and ecological implications, the study ultimately identifies an optimized reverse logistics network that yields maximal returns on investment in terms of environmental impact reduction. This comprehensive exploration of the cost-environment trade-off offers valuable guidance to similar organizations aiming to prudently minimize ecological footprints without compromising financial viability. Just as the reverse logistics network is vital within supply chains, this article underscores the potential of its strategic enhancement in driving eco-friendly and economically efficient practices.

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Section: Literature Reviewmentioning

confidence: 99%

Multi-Objective Optimization for Economic and Environmental Sustainability in Apparel E-commerce Reverse Logistics

Sharma,

Saraswat,

Sharma

et al. 2024

Int. j. math. eng. manag. sci.

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“…As can be seen from Table 6, these models are most often used to solve reverse logistics or closed-loop supply chain network design problems. A good network structure can bring great value to a firm, not only in terms of cost reduction [5], [68], [69], [70], [72], [73], [86], [88], [92] and revenue increase [5], [75], [83], [84], [90], but some logistics networks can also reduce greenhouse gas emissions [75], environmental impacts [92], [93], social impacts [93] and shortage costs [70]. Ozkir and Basligil [90] in building a closed-loop supply chain network considered maximizing trade satisfaction, maximizing customer satisfaction, and maximizing the total CLSC profit function.…”

Section: E Analyzing the Modeling Studiesmentioning

confidence: 99%

“…In terms of methods for model solving, the most common is the use of CPLEX and LINGO solvers. Among the 27 selected papers, four applied CPLEX [5], [83], [86], [93], and two applied LINGO [72], [79]. The remaining literature also used other methods or solvers, such as CCRSP and Taguchi-PSO [68], heuristic algorithm [69], two-stage optimization model [70], Excel Solver [71], FISM [74], IMPROVED NSGA-II [75], TFM [76], combined prediction model [78], semi-parametric modeling [81], linear programming with fuzzy parameters [82], GUROBI 5.5.0 solver [84], MOHEV [87], Fix-and-Optimize algorithm [88], DEA and BRPP [92].…”

Section: E Analyzing the Modeling Studiesmentioning

confidence: 99%

A Comprehensive Review of Reverse Logistics in the Automotive Industry

Zhang

Yan

et al. 2023

IEEE Access

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Reverse logistics (RL) of automobiles has received wide attention in recent years with the innovation of resource utilization and the increase of environmental awareness. Many research papers have been published in the RL discipline focusing on the automotive industry. However, no review article is available on product-specific issues. To bridge this gap, 91 papers published in the Web of Science (WOS) database between January 2013 and March 2023 were selected and analyzed using content analysis to classify the articles into survey, evaluation, decision making, framework, modeling and review. The main findings of this paper are as follows: (1) Research on RL activities has mainly focused on recycling and remanufacturing, and insufficient research has been conducted on activities such as dismantling and waste management. (2) In terms of research objects, End-of-Life Vehicles (ELVs) and automotive batteries have received a lot of attention, while less research has been done on automotive tires, engines, waste oil, etc., which need further attention. (3) Integrated economic, environmental and social considerations are research opportunities for future evaluation and decision making. (4) The establishment of multi-objective problems and the innovation of solution methods may be the future research direction. (5) Green and sustainability themes are the main trends in the development of RL in the automotive industry in the future.

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“…Subula et al [45] constructed a closed-loop supply chain network that minimizes costs and maximizes recycling scope. Mu et al [46] constructed a sustainable six-level dynamic RLN model that minimizes costs, and environmental and social impacts. Table 3 lists the published literature on the design of reverse networks for WEVBs.…”

Section: Rlnd For Wevbsmentioning

confidence: 99%

A Novel Sustainable Reverse Logistics Network Design for Electric Vehicle Batteries Considering Multi-Kind and Multi-Technology

et al. 2023

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With the expansion of the new energy vehicle market, electric vehicle batteries (EVBs) have entered a massive retirement wave. The strategic level of facility location and configuration decisions and the tactical level of multi-product flow and multi-technology selection decisions have been integrated into a sustainable reverse logistics network (SRLN). In this paper, we considered multiple kinds of waste electric vehicle batteries (WEVBs) with multiple recycling technology and constructed a multi-level SRLN model for WEVBs with the objectives of minimum economic costs and minimum carbon emissions. To solve this model, fuzzy set theory was applied to the equivalence transformation of constraints, non-interactive and interactive methods were used to solve the multi-objective planning (MOP), and interactive fuzzy programming with priority control was proposed to find the global optimal solution for this model. Finally, numerical experiments demonstrated the feasibility and effectiveness of the proposed model and solution method. The experimental results show that the SRLN model considering carbon emissions can significantly reduce carbon emissions of the network through a slight increase in the initial network construction cost, thus effectively balancing both economic and environmental objectives. In the non-interactive solution, the Lp-metric method has a lower deviation index than the weighted sum method; in the interactive solution, the priority control method proposed in this paper outperforms the TH method in terms of the number of practical solutions and CPU time and shows strong performance in searching and finding optimal solutions. The proposed model and method can provide the theoretical basis and technical support for a WEVB SRLN under the limited information uncertainty environment.

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Multi-objective combinatorial optimization analysis of the recycling of retired new energy electric vehicle power batteries in a sustainable dynamic reverse logistics network

Cited by 13 publications

References 57 publications

Multi-Objective Optimization for Economic and Environmental Sustainability in Apparel E-commerce Reverse Logistics

Multi-Objective Optimization for Economic and Environmental Sustainability in Apparel E-commerce Reverse Logistics

A Comprehensive Review of Reverse Logistics in the Automotive Industry

A Novel Sustainable Reverse Logistics Network Design for Electric Vehicle Batteries Considering Multi-Kind and Multi-Technology

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