Cleaner Logistics and Supply Chain最新文献_第2页

Consumer acceptance of halal food traceability systems: a novel integrated approach using modified UTAUT and DeLone & McLean models to promote sustainable food supply chain practices 消费者对清真食品可追溯性系统的接受：一种使用改进的UTAUT和DeLone & McLean模型来促进可持续食品供应链实践的新型综合方法

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-06-01 DOI: 10.1016/j.clscn.2025.100226

Aries Susanty , Nia Budi Puspitasari , Ferry Jie , Fauzan Akbar Akhsan , Sumunar Jati

{"title":"Consumer acceptance of halal food traceability systems: a novel integrated approach using modified UTAUT and DeLone & McLean models to promote sustainable food supply chain practices","authors":"Aries Susanty , Nia Budi Puspitasari , Ferry Jie , Fauzan Akbar Akhsan , Sumunar Jati","doi":"10.1016/j.clscn.2025.100226","DOIUrl":"10.1016/j.clscn.2025.100226","url":null,"abstract":"<div><div>With the growing demand for sustainable and transparent food supply chains, consumer awareness of Halal integrity is rising, highlighting the need for a Halal food traceability system to enhance consumer confidence by providing detailed production information. However, the factors influencing consumer acceptance of such systems in Indonesia remain unclear. This study addresses three key objectives: (1) assessing consumer intention to use a Halal food traceability system; (2) exploring the relationships between system quality, information quality, service quality, performance expectancy, effort expectancy, social influence, and trust and consumer behavioural intention; and (3) evaluating the effectiveness of an integrated model combining the modified Unified Theory of Acceptance and Use of Technology (UTAUT) and the DeLone & McLean Information System Success Model (D&M IS Success Model) in understanding consumer intention. This study develops and tests three models through an online survey conducted in 2023, targeting individuals aged 17–42 with a significant interest in Halal food products. The results from 255 respondents indicate a strong interest in adopting the system, with performance expectancy, effort expectancy, social influence, and trust identified as key drivers of consumer intention. These findings offer valuable insights for Halal industry managers to enhance traceability and transparency in the food supply chain, promoting more efficient and ethical food production systems. This research could contribute to clean, green, sustainable, and low-carbon logistics and supply chain management by addressing the increased demand for traceability systems, which help track the Halal status of products and promote various sustainability factors, including process efficiency, waste reduction, and carbon footprint minimization.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"15 ","pages":"Article 100226"},"PeriodicalIF":6.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144195527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A stacking ensemble model for food demand forecasting: A preventative approach to food waste reduction 粮食需求预测的堆叠集成模型：减少粮食浪费的预防性方法

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-05-24 DOI: 10.1016/j.clscn.2025.100225

Asmaa Seyam , Sujith Samuel Mathew , Bo Du , May El Barachi , Jun Shen

{"title":"A stacking ensemble model for food demand forecasting: A preventative approach to food waste reduction","authors":"Asmaa Seyam , Sujith Samuel Mathew , Bo Du , May El Barachi , Jun Shen","doi":"10.1016/j.clscn.2025.100225","DOIUrl":"10.1016/j.clscn.2025.100225","url":null,"abstract":"<div><div>Building effective demand forecasting is crucial for better planning and ensuring sustainability within food supply chain systems. The food industry has received the least attention for building demand forecasting approaches, with a noticeable lack of utilizing ensemble stacking models. Additionally, while some models have achieved accurate predictions, they do not consider freshness variables and are not assessed for their impact on waste reduction. This paper develops a demand forecasting framework that is considered as a preventative approach to reduce food waste by enabling food retailers to better manage inventory and balance supply with demand. The paper first develops an ensemble stacking model combining the random forest, support vector regression, eXtreme gradient boosting, long short-term memory models as base learners and Ridge regression as a <em>meta</em>-learner. The performance accuracy of the proposed model is assessed by benchmarking with singular models using various metrics. The experimental results reveal that the proposed stacking model outperforms random forest and eXtreme gradient boosting while consistently outperforming support vector regression and long short-term memory model, achieving a coefficient of determination score of 0.99, mean absolute error of 0.63, mean absolute percentage error of 1.8, and prediction accuracy of 98.2%. The model’s performance is further assessed on its impact on waste reduction by utilizing the predicted demand to replenish the inventory for the next day dynamically. The promising results indicate that relying on the predicted demand to replenish the inventory achieves a significant reduction in food waste.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"15 ","pages":"Article 100225"},"PeriodicalIF":6.9,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144148110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing inventory and pricing decisions in a Closed-Loop Supply Chain: a sustainable approach towards manufacturing and remanufacturing 在闭环供应链中优化库存和定价决策：面向制造和再制造的可持续方法

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-05-22 DOI: 10.1016/j.clscn.2025.100223

Amrina Kausar , Chandra K. Jaggi , Sumit Maheshwari

{"title":"Optimizing inventory and pricing decisions in a Closed-Loop Supply Chain: a sustainable approach towards manufacturing and remanufacturing","authors":"Amrina Kausar , Chandra K. Jaggi , Sumit Maheshwari","doi":"10.1016/j.clscn.2025.100223","DOIUrl":"10.1016/j.clscn.2025.100223","url":null,"abstract":"<div><div>The Closed-Loop Supply Chain (CLSC) is widely acknowledged as a sustainable alternative to conventional supply chains; nonetheless, the management of inventory and pricing decisions continues to be intricate. This study analyzes a two-layer supply chain model encompassing both the forward supply chain (FSC) and the reverse supply chain (RSC). The FSC produces new items, whereas the RSC manages end-of-life (EOL) products for remanufacturing. The emphasis is on refining inventory management, pricing tactics, and waste disposal procedures to improve the sustainability of CLSC operations. The model is solved with conventional optimization methods executed in LINGO and Mathematica software. Numerical findings indicate that, in Case I, the optimal selling prices for new and remanufactured products are $837.5750 and $421.6721, respectively, with a cycle time of 1.5314 months, resulting in a total profit of $1,378,007.35. In Case II, when the remanufacturing rate is higher than the manufacturing rate, the respective values are $836.9679 and $421.5517, with a cycle time of 1.6017 months, yielding a total profit of $1,379,658.11. The enhancement in profitability illustrates the responsiveness of pricing and scheduling choices in CLSC design with a higher rate of remanufacturing. Sensitivity study confirms the model’s robustness across several parameter settings. The results provide quantifiable insights into how synchronized inventory and pricing strategies might improve economic performance while fostering sustainability through remanufacturing processes.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100223"},"PeriodicalIF":6.9,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimum routing for dry bulk voyages with the effect of an emission trading system: NSR vs SCR 受排放权交易制度影响的干散货航次的最佳航线：低噪音航线与高噪音航线

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-05-21 DOI: 10.1016/j.clscn.2025.100224

Chathumi Ayanthi Kavirathna , Ryuichi Shibasaki , Wenyi Ding

{"title":"Optimum routing for dry bulk voyages with the effect of an emission trading system: NSR vs SCR","authors":"Chathumi Ayanthi Kavirathna , Ryuichi Shibasaki , Wenyi Ding","doi":"10.1016/j.clscn.2025.100224","DOIUrl":"10.1016/j.clscn.2025.100224","url":null,"abstract":"<div><div>Concerning the significant environmental emissions from the maritime sector, an Emission Trading System (ETS) is an effective market-based emission control measure. This study analyses the effect of ETS on the optimum routing between the Northern Sea Route (NSR) and Suez Canal Route (SCR), considering 174 dry bulk voyages between Asia and Europe. First, cost-, emissions- and time-saving made by voyages via NSR compared to SCR are estimated, and marginal abatement costs are estimated to identify feasible NSR voyages with an ETS. Accordingly, nearly 35, 80, and 160 voyages were cost-saving with NSR if SCR speed equals 10, 15, and 20 knots, respectively. Although all voyages save emissions with NSR if SCR speed equals 15 or 20 knots, only limited voyages save emissions via NSR if SCR speed equals 10 knots. Moreover, a much faster voyage via NSR than SCR could save more voyage costs, although it could not save emissions. However, a much shorter voyage via NSR than SCR could save more emissions, although it could not save costs. The optimization model derives over 90 feasible voyages for NSR, varied based on the free-emissions quota, icebreaker availability, navigation month, fuel prices, and types. Some voyages that were environmentally feasible but economically infeasible via NSR without an ETS were both environmentally and economically feasible with an ETS. However, if vessels slow steam via SCR, ETS would not significantly enhance NSR’s feasibility. Moreover, NSR is more feasible if the maritime industry uses expensive and cleaner fuel types.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"15 ","pages":"Article 100224"},"PeriodicalIF":6.9,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-docking in retail: Sustainable EOQ-based models for multi-item inventory systems with imperfect quality and stockouts under carbon cap-and-trade 零售业的交叉对接：碳限额与交易下质量不完美和缺货的多项目库存系统的可持续eoq模型

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-05-20 DOI: 10.1016/j.clscn.2025.100221

Makoena Sebatjane , Amir Hossein Nobil , Erfan Nobil

{"title":"Cross-docking in retail: Sustainable EOQ-based models for multi-item inventory systems with imperfect quality and stockouts under carbon cap-and-trade","authors":"Makoena Sebatjane , Amir Hossein Nobil , Erfan Nobil","doi":"10.1016/j.clscn.2025.100221","DOIUrl":"10.1016/j.clscn.2025.100221","url":null,"abstract":"<div><div>Cross-docking is a widely used strategy for inventory consolidation and distribution in complex retail supply chains involving multiple suppliers, products, and retailers. This strategy reduces the costs of managing inventory in retail operations by streamlining the supply chain from the point of origin to the point of sale. Environmental sustainability is a crucial concern in operations management, necessitating the monitoring of emissions generated by supply chain activities. Additionally, quality control is vital in retail supply chains to ensure consumer health is not compromised by the sale and consumption of poor-quality products. Taking these factors into account, this paper proposes a sustainable inventory model for a cross-docking system that includes multiple suppliers, retailers, and items with imperfect quality, all under cap-and-trade emissions regulation. Data from a retail company with a single warehouse and multiple stores is used to formulate the inventory system as a mixed-integer non-linear programming problem. The warehouse serves as a hub for cross-docking operations, consolidating inventory from multiple suppliers and distributing it to various stores. The results indicate that the fraction of imperfect quality items, carbon emissions cap, and price for emissions in the open carbon market significantly impact total inventory costs and emissions. Incorporating these variables results in a 9% increase in total costs compared to scenarios where they are excluded. However, this approach enables precise quantification of emissions. To explore the impact of stock shortages on retail operations, the model is extended to include backordering. The extension demonstrates that stock shortages adversely affect total costs.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"15 ","pages":"Article 100221"},"PeriodicalIF":6.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on planning and demand matching strategies for intelligent material supply chains under carbon constraints 碳约束下智能材料供应链规划与需求匹配策略研究

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-05-10 DOI: 10.1016/j.clscn.2025.100222

Shao Xuwei , Wu Jianfeng , Ge Junping , Wang Jianguo , Hu Kairui , Qiu Yang , Ju Chunhua , Xu Jiaming

{"title":"Research on planning and demand matching strategies for intelligent material supply chains under carbon constraints","authors":"Shao Xuwei , Wu Jianfeng , Ge Junping , Wang Jianguo , Hu Kairui , Qiu Yang , Ju Chunhua , Xu Jiaming","doi":"10.1016/j.clscn.2025.100222","DOIUrl":"10.1016/j.clscn.2025.100222","url":null,"abstract":"<div><div>For the coordination problem of planned demand in the intelligent material supply chain under carbon constraints, its supply chain network presents the characteristics of multi-source, multi-demand and high dispersion. This complex supply chain network makes it difficult for traditional optimization algorithms and path planning methods to effectively cope with the demand for low-carbon, efficient and flexible logistics. Therefore, starting from the matching fitness of both supply and demand sides, this paper constructs a dynamic matching decision framework that is more in line with the actual operation logic, and introduces a dynamic matching algorithm based on multi-factor stimulus value and response threshold to improve the adaptability and responsiveness of the model. Through multiple sets of numerical simulation experiments, the effectiveness and robustness of the proposed method in dealing with complex supply chain scenarios (such as multi-source and multi-demand node distribution) are verified. In terms of optimization performance, the proposed method is superior to traditional methods in core indicators such as operating efficiency, carbon emission control and supply and demand matching accuracy. The horizontal comparison results show that the proposed model has strong comprehensive advantages in the practice of green intelligent supply chain management, showing its theoretical innovation and wide application potential in the context of low-carbon transformation.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"15 ","pages":"Article 100222"},"PeriodicalIF":6.9,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unlocking synergies in lean manufacturing for enhanced environmental performance: a cross-sector investigation through fuzzy DEMATEL 为提高环境绩效解锁精益制造的协同效应：通过模糊DEMATEL的跨部门调查

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-05-02 DOI: 10.1016/j.clscn.2025.100219

Matteo Ferrazzi, Federica Costa, Stefano Frecassetti, Alberto Portioli-Staudacher

{"title":"Unlocking synergies in lean manufacturing for enhanced environmental performance: a cross-sector investigation through fuzzy DEMATEL","authors":"Matteo Ferrazzi, Federica Costa, Stefano Frecassetti, Alberto Portioli-Staudacher","doi":"10.1016/j.clscn.2025.100219","DOIUrl":"10.1016/j.clscn.2025.100219","url":null,"abstract":"<div><div>The growing urgency to tackle environmental challenges has prompted an expansion of Lean management to include environmental sustainability performance. However, there is a lack of research exploring how specific Lean manufacturing practices interact to enhance the environmental performance of manufacturing firms. This study investigates cause-effect relationships among Lean manufacturing practices for improving environmental performance, focusing on the textile/apparel and Food sectors. Based on current literature, “hard” and “soft” Lean practices were identified and divided into four bundles. Utilizing the fuzzy DEMATEL methodology, the cause-effect relationships of Lean manufacturing practices are analyzed. The results reveal five distinct areas of Lean manufacturing practices, highlighting their interconnectedness. This article shows the dependency relationships among various Lean manufacturing practices for better environmental performance. In particular, it shows the enabler role that soft practices have across the two industries analyzed. It also shows how the manufacturing sector is a factor that modifies the relationships between hard practices. In conclusion, this study can guide manufacturing companies willing to implement the Lean socio-technical system to shift to more environmentally sustainable production models.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"15 ","pages":"Article 100219"},"PeriodicalIF":6.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toward sustainability and digital resilience: A circular economy cybersecurity framework for seaports 迈向可持续性和数字弹性：海港循环经济网络安全框架

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-05-02 DOI: 10.1016/j.clscn.2025.100220

Chalermpong Senarak

{"title":"Toward sustainability and digital resilience: A circular economy cybersecurity framework for seaports","authors":"Chalermpong Senarak","doi":"10.1016/j.clscn.2025.100220","DOIUrl":"10.1016/j.clscn.2025.100220","url":null,"abstract":"<div><div>This study investigates the integration of Circular Economy (CE) principles into cybersecurity practices at Laem Chabang Port (LCP) in Thailand, aiming to enhance resilience and sustainability within port operations. Employing the Delphi method to capture expert insights, the research examines key cybersecurity functions—identify, protect, detect, respond, and recover—while proposing strategies such as modular system design, eco-friendly materials, and collaborative frameworks. These approaches yield significant benefits, including operational efficiency, cost savings, and strengthened stakeholder cooperation, fostering a more sustainable cybersecurity environment. Notably, the deployment of modular detection systems and energy-efficient tools extends the lifecycle of technological assets, reducing environmental impact and aligning with CE objectives. However, the study identifies critical challenges, such as the reliability of eco-friendly materials, complexities in implementing modular systems, and data integrity risks in backup processes, emphasizing the need for robust planning and risk mitigation strategies. By proposing a balanced approach that prioritizes ecological sustainability alongside cybersecurity robustness, this research highlights the potential for ports to achieve energy savings<del>.</del> The study concludes by recommending the development of transferable frameworks to mitigate these risks and maximize CE benefits, positioning LCP and similar ports at the forefront of the smart port revolution.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"15 ","pages":"Article 100220"},"PeriodicalIF":6.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decision support systems for a resilient and sustainable closed loop supply chain under risk: A systematic review and future research directions 风险下弹性可持续闭环供应链决策支持系统综述及未来研究方向

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-04-22 DOI: 10.1016/j.clscn.2025.100217

Wogiye Wube , Eshetie Berhan , Gezahegn Tesfaye

{"title":"Decision support systems for a resilient and sustainable closed loop supply chain under risk: A systematic review and future research directions","authors":"Wogiye Wube , Eshetie Berhan , Gezahegn Tesfaye","doi":"10.1016/j.clscn.2025.100217","DOIUrl":"10.1016/j.clscn.2025.100217","url":null,"abstract":"<div><div>Recently, designing resilient and sustainable closed-loop supply chain (CLSC) has been an emerging agenda of scholars. The number of publications regarding sustainable CLSC under risk has grown significantly in the last decade. However, the extant literature on sustainable CLSC is scattered in various research streams. The aim of this study is to synthesize literature and identify gaps and cutting-edge research agendas by conducting a PRISMA based comprehensive review on decision support systems for a resilient and sustainable CLSC under risk. 185 articles were selected for thorough content analysis. We categorize these articles into five clusters. The results of content analysis reveal that the single uncertain parameter is the most frequently considered uncertainty category. The most popular uncertainty modeling technique employed to combat sustainable CLSC problems under risk is stochastic programming. It also shows that the most frequently considered decision problem and level are facility location-flow allocation problems and simultaneous strategic and tactical decisions, respectively. Collection-recycle is the most frequently employed waste management technique. Moreover, it illustrates that carbon policies have played a crucial role in reducing carbon emissions. Similarly, backup supplier is the most frequently employed resilient strategy. The study reveals that despite the insight for designing resilient and sustainable CLSC has grown fast, its application to reduce waste, disruptive risks, and environmental pollution and thereby bring circular economy sustainably has rarely been explored in the extant literature. The study provides substantial contributions for both scholars and practitioners and identifies breakthrough future research avenues.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"15 ","pages":"Article 100217"},"PeriodicalIF":6.9,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Third-party electric vehicle battery remanufacturing supply chains 第三方电动汽车电池再制造供应链

IF 6.9

Cleaner Logistics and Supply Chain Pub Date : 2025-04-22 DOI: 10.1016/j.clscn.2025.100218

Fadwa Dababneh , Hussam Zuhair Aldababneh , Yiran Yang

{"title":"Third-party electric vehicle battery remanufacturing supply chains","authors":"Fadwa Dababneh , Hussam Zuhair Aldababneh , Yiran Yang","doi":"10.1016/j.clscn.2025.100218","DOIUrl":"10.1016/j.clscn.2025.100218","url":null,"abstract":"<div><div>Currently, battery manufacturers face many challenges keeping up with the growing demand for electric vehicle (EV) batteries. This high demand comes from two main sources: growing battery demand for newly manufactured EVs and battery replacement demand for already-on-the-road EVs. Circularity through different end-of-life strategies can help alleviate the current electric EV battery supply and demand gap while tackling accumulating waste challenges. In particular, remanufacturing has shown to be a promising value recovery strategy for spent EV batteries to be reused for automotive applications affordably and sustainably. Hence, a mathematical model is developed to study an independent remanufacturing (IR) supply chain for EV battery replacement demand intended for already on-the-road EVs. The model considers remanufacturers’ self-sufficiency, incoming spent battery quality levels, and rush orders. Using the developed model, a numerical case study, based on data for California, is implemented. The case study results suggest that remanufacturing EV batteries to meet the demand for already on-the-road EVs is profitable and incorporating rush order deliveries could be economically viable. Furthermore, while both self-sufficient and non-self-sufficient remanufacturing configurations have shown to be economically viable, both have tradeoffs that must be considered.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"15 ","pages":"Article 100218"},"PeriodicalIF":6.9,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0