Cleaner Engineering and Technology最新文献_第6页

Photocatalytic degradation of vehicle emissions using reduced graphene oxide-titanium dioxide modified pavement materials in cold regions 使用还原氧化石墨烯-二氧化钛改性路面材料在寒冷地区光催化降解车辆排放

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2026-01-12 DOI: 10.1016/j.clet.2026.101149

Sitong Bie , Yang Yang , Haiping Liu , Jie Li , Hongsheng Yang , Xiaotong Qiao

{"title":"Photocatalytic degradation of vehicle emissions using reduced graphene oxide-titanium dioxide modified pavement materials in cold regions","authors":"Sitong Bie , Yang Yang , Haiping Liu , Jie Li , Hongsheng Yang , Xiaotong Qiao","doi":"10.1016/j.clet.2026.101149","DOIUrl":"10.1016/j.clet.2026.101149","url":null,"abstract":"<div><div>To enhance the photocatalytic performance of titanium dioxide (TiO<sub>2</sub>) in degrading vehicle emissions on pavement surfaces, this study synthesized reduced graphene oxide-titanium dioxide (rGO-TiO<sub>2</sub>) composites with varied reduced graphene oxide (rGO) doping ratios via hydrothermal method. The microstructure and optical properties of the composites were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), and ultraviolet–visible diffuse reflectance spectroscopy (UV–Vis DRS). Results showed that rGO incorporation significantly improved the visible-light utilization and photocatalytic efficiency of TiO<sub>2</sub>. Targeting cold-region applications, an rGO-TiO<sub>2</sub> photocatalytic asphalt mixture and a dedicated vehicle emission degradation test system were developed, with the composite applied as a water-based coating on asphalt specimens. Degradation experiments revealed optimal performance at 5.0 wt% rGO doping and 667 g/m<sup>2</sup> coating spray amount. Low-temperature environments notably reduced degradation efficiency for hydrocarbons (HC) and carbon monoxide (CO) but had minimal impact on nitrogen oxides (NO). This research demonstrates the potential of rGO-TiO<sub>2</sub> modified materials for developing sustainable, eco-friendly pavements in cold regions.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"30 ","pages":"Article 101149"},"PeriodicalIF":6.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977440","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

Magnetic-flotation: a sustainable solution for the flotation recycling of batteries’ blackmass 磁浮选：电池黑块浮选回收的可持续解决方案

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2026-01-10 DOI: 10.1016/j.clet.2026.101146

Rihan Efendi , Mehdi Parian , Saeed Chehreh Chelgani

{"title":"Magnetic-flotation: a sustainable solution for the flotation recycling of batteries’ blackmass","authors":"Rihan Efendi , Mehdi Parian , Saeed Chehreh Chelgani","doi":"10.1016/j.clet.2026.101146","DOIUrl":"10.1016/j.clet.2026.101146","url":null,"abstract":"<div><div>Rising interest in lithium-ion batteries as a key energy-storage option underscores the pressing need to develop recycling approaches that are both environmentally responsible and high-performing, especially for black mass rich in recoverable graphite and cathode active materials (CAMs). Froth flotation is the well-known technique for separating ultrafine CAM particles from graphite. Flotation beneficiation operates on the principle of surface properties, while binders in the batteries complicate the separation process. This study introduces magnetic-assisted flotation (MAGFLO) as a novel and environmentally friendly approach to enhance the flotation-based recycling of blackmass for nickel-manganese-cobalt (NMC) batteries. The MAGFLO leverages CAMs' magnetic susceptibility and hydrophilicity to improve their separation from non-magnetic and hydrophobic graphite, thereby reducing dependence on thermal/chemical surface modifications. The MAGFLO system was implemented as a retrofit setup, and experiments were conducted using an electromagnet with different setups (voltage: 10, 20, or 30) across various flotation cells (steel and stainless-steel) and configurations. Flotation results indicated that the magnetic properties of CAM particles could enhance their separation from graphite. SEM analysis revealed that fine CAM particles adhered to graphite particles, potentially influencing process efficiency. However, particle entrapment could be minimized by using magnetic field pulsation (the “on/off interval” mode of the electromagnet). The steel cell generally showed a higher separation efficiency with over 90 % CAM recovery. Overall, MAGFLO demonstrated strong potential as a sustainable and scalable approach for future industrial recycling applications.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"30 ","pages":"Article 101146"},"PeriodicalIF":6.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977438","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

Detection of copper-containing scrap in a post-shredder fraction with machine vision and artificial intelligence towards green-steel production 面向绿色钢铁生产的机器视觉与人工智能技术在粉碎后含铜废料检测中的应用

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2025-12-14 DOI: 10.1016/j.clet.2025.101110

G. Koinig , N. Kuhn , T. Fink , B. Lorber , Y. Radmann , W. Martinelli , J. Aberger , E. Grath , A. Tischberger-Aldrian

{"title":"Detection of copper-containing scrap in a post-shredder fraction with machine vision and artificial intelligence towards green-steel production","authors":"G. Koinig , N. Kuhn , T. Fink , B. Lorber , Y. Radmann , W. Martinelli , J. Aberger , E. Grath , A. Tischberger-Aldrian","doi":"10.1016/j.clet.2025.101110","DOIUrl":"10.1016/j.clet.2025.101110","url":null,"abstract":"<div><div>Copper contamination in scrap input for electric arc furnaces (EAF) causes quality issues in steel production, as copper cannot be removed during melting in EAFs and leads to surface cracking and brittleness in the final products. This work presents a cost-effective AI-based classification and sorting method using single-stage AI detectors to identify copper particles in post-shredder scrap, offering an alternative to X-ray fluorescence or laser-induced breakdown spectroscopy. After comparing all sizes of YOLOv8 and YOLOv11, the most promising architecture was further subjected to pruning, hyper parameter optimisation and conversion to decrease its inference latency without compromising its prediction accuracy. The thus generated YOLOv8n model achieved a worst-case inference time of 75 ms/image on CPU testing hardware with a mAP<sub>50</sub>–<sub>95</sub> of 77 %. In terms of object-based accuracy, the testing on the independent test data set resulted in 89 % of all copper particles and 86 % of all iron particles being correctly identified. After these offline tests, a prototype consisting of a conveyor belt, low-cost industrial GPU, an industrial camera and an industrial high pressure nozzle bar was built to gauge the model's deployment into an industrial setting by using hyperparameter tuning and conversion to GPU optimised formats. On this, three-stage separation trials with throughputs ranging from 2.5 t/h to 10 t/h with initial copper contents of 10 % and 25 % were conducted. These trials resulted in a purity of the iron fraction of over 99.3 %, calculated by taking the mass of all copper containing particles in the iron fraction.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"30 ","pages":"Article 101110"},"PeriodicalIF":6.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791206","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

Assessing the sustainability and circularity of product families: A systematic review on indicators and methodologies 评估产品族的可持续性和循环性：对指标和方法的系统审查

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2025-11-19 DOI: 10.1016/j.clet.2025.101118

Sofia Boulmrharj , Elisa Arteaga Prieto , Giovanna Sauve , Karel Van Acker , Steven Van Passel , Philippe Nimmegeers

{"title":"Assessing the sustainability and circularity of product families: A systematic review on indicators and methodologies","authors":"Sofia Boulmrharj , Elisa Arteaga Prieto , Giovanna Sauve , Karel Van Acker , Steven Van Passel , Philippe Nimmegeers","doi":"10.1016/j.clet.2025.101118","DOIUrl":"10.1016/j.clet.2025.101118","url":null,"abstract":"<div><div>Manufacturing companies often adopt the product family approach to offer a wide range of products efficiently and cost-effectively. With the growing emphasis on the sustainability and circularity of product families, extensive research has evaluated these aspects in recent decades. Building upon this existing research, this study aims to identify the most prevalent indicators and methodologies employed for their assessments. A systematic literature review yielded 40 relevant articles. The results reveal that existing indicators and methodologies are often data-intensive and resource-consuming, making the assessment of the sustainability and circularity of product families a complicated and extensive process. Findings also show that only four circularity strategies (i.e., remanufacture, reuse, recycle, and refurbish) were investigated for product families. Furthermore, most circularity indicators considered in these assessments are strategy-specific, and no generic indicators exist for a holistic assessment of circularity for product families. Moreover, most studies focus solely on carbon footprint assessment, overlooking other impact categories. Additionally, the social aspect was scarcely investigated in literature for product families. Finally, most of the reviewed studies evaluated the sustainability and circularity of product families within electric and electronic equipment. Based on these findings, this work underlines the need for more efficient methodologies and indicators, while establishing relationships among economic, environmental, social, and circularity dimensions to support the development of sustainable and circular product families. It is also strongly recommended to assess the impact of additional circularity strategies beyond the four investigated and to broaden environmental impact assessments to include diverse impact categories alongside social considerations.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"30 ","pages":"Article 101118"},"PeriodicalIF":6.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683511","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

Semi-analytical approach to trajectory optimization for stacker cranes regarding energy saving 基于节能的堆垛起重机轨迹优化半解析方法

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2025-12-30 DOI: 10.1016/j.clet.2025.101141

Rico Zöllner , Friedemann Schuricht , Wilfried Hofmann , Thorsten Schmidt

引用次数: 0

Understanding the deterioration mechanism of geopolymers for application in acidic systems used for in situ recovery (ISR) 了解用于原位采油（ISR）的酸性体系中地聚合物的变质机理

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2026-01-06 DOI: 10.1016/j.clet.2025.101116

Godfrey Mawire , Robbie McDonald , Lionel Esteban , Peter Austin , Abhijit Mukherjee , Navdeep Dhami

{"title":"Understanding the deterioration mechanism of geopolymers for application in acidic systems used for in situ recovery (ISR)","authors":"Godfrey Mawire , Robbie McDonald , Lionel Esteban , Peter Austin , Abhijit Mukherjee , Navdeep Dhami","doi":"10.1016/j.clet.2025.101116","DOIUrl":"10.1016/j.clet.2025.101116","url":null,"abstract":"<div><div>Geopolymer-based barriers, synthesised from mine tailings, show promise for use in acidic in-situ recovery well fields, where conventional Portland cement barriers degrade rapidly. This study investigates the long-term performance of geopolymers, cast as cylinders and subjected to ferric sulphate-sulphuric acid and ferric chloride-hydrochloric acid lixiviants for 300 days. During this time, degradation progressed from the exposed surface inwards, resulting in three clearly identifiable concentric zones: (1) a deteriorated region, (2) an intermediate region and (3) the unreacted core. In Zones 1 and 2, dealumination of the aluminosilicate binder phases was significant, generating (secondary) residual phases with a higher Si/Al ratio that appear more resistant to ongoing acid attack. When combined with strong leaching of sodium and calcium from these phases, this resulted in enhancement in the porosity of these zones, the formation of channels/cracks, and reduced the resistance of the impacted regions to mechanical deformation. However, the formation of other secondary phases such as (i) gypsum and hydronium/natrojarosite for the ferric sulphate-sulphuric acid system and (ii) akagenéite for the ferric chloride-hydrochloric acid system, countered the development of porosity and the reduction in mechanical resistance. The key outcome from these combined findings was demonstration of the formation of deteriorated, yet competent outer zones that slowed the unreacted core deterioration rate. While further work is required to assess the prolonged behaviour of these protective layers and in turn, the lifetime of these geopolymers under in-situ recovery conditions, this study indicates that these materials may be suitable for application as barrier materials in these settings.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"30 ","pages":"Article 101116"},"PeriodicalIF":6.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925781","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 comparative environmental assessment of an automotive component processed by laser powder bed fusion (LPBF) versus CNC machining, with steel powder reuse impact analysis 对激光粉末床熔合（LPBF）与CNC加工的汽车部件进行了环境评估比较，并分析了钢粉再利用的影响

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2025-12-27 DOI: 10.1016/j.clet.2025.101137

Hery Andriankaja, Jean-Daniel Penot, Romain Chaudron, Rima Hleiss

{"title":"A comparative environmental assessment of an automotive component processed by laser powder bed fusion (LPBF) versus CNC machining, with steel powder reuse impact analysis","authors":"Hery Andriankaja, Jean-Daniel Penot, Romain Chaudron, Rima Hleiss","doi":"10.1016/j.clet.2025.101137","DOIUrl":"10.1016/j.clet.2025.101137","url":null,"abstract":"<div><div>The study reported in this paper presents a comparative life cycle assessment (LCA) of a maraging steel automotive hub carrier manufactured through using Laser Powder Bed Fusion (LPBF) metal additive manufacturing (metal AM) versus conventional Computer Numerical Controlled (CNC) machining. The manufacturing processes are modelled with primary data collected from dedicated metal AM unit and machining experts. These primary data served as the foundation for creating trustworthy LCA database specific to our metal AM Unit activities, from powder storage, through part manufacturing, to diverse post-treatment operations stages. The study covers the full product life cycle from raw material extraction to end-of-life recycling. Results show that while LPBF offers substantial reductions in material consumption and mineral resources depletion, its environmental superiority over machining is conditional. LPBF with use of 83.7 % recycled powder shows lower global warming potential (GWP) and fossil resources depletion than CNC machining. However, when exclusively new powder is used, LPBF becomes significantly more impactful, particularly due to energy-intensive powder production. A parametric analysis reveals that integrating at least 52 % recycled powder charge into the LPBF 3D printer is critical for achieving a better environmental profile than CNC machining. This study underscores the importance of the powder recycling rate evaluation as one key parameter for sustainable adoption of metal AM, especially through PBF techniques in industry.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"30 ","pages":"Article 101137"},"PeriodicalIF":6.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925783","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

Future wind energy potential for wind farm development in Africa based on bias-corrected NEX-GDDP-CMIP6 wind projections 基于修正偏差的nex - gdp - cmip6风力预测，非洲风电场发展的未来风能潜力

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2026-01-08 DOI: 10.1016/j.clet.2026.101145

Akinwale T. Ogunrinde , Paul Adigun , Dairaku Koji , Xian Xue , Syed Shameer , Salman Zare

{"title":"Future wind energy potential for wind farm development in Africa based on bias-corrected NEX-GDDP-CMIP6 wind projections","authors":"Akinwale T. Ogunrinde , Paul Adigun , Dairaku Koji , Xian Xue , Syed Shameer , Salman Zare","doi":"10.1016/j.clet.2026.101145","DOIUrl":"10.1016/j.clet.2026.101145","url":null,"abstract":"<div><div>This study enhances wind energy resource assessment under climate change by applying a robust bias correction framework to NEX-GDDP-CMIP6 projections for ten wind farm stations across Africa at 150-m hub heights. We assessed wind speed, wind power density, variability, and capacity factor under SSP2-4.5 and SSP5-8.5 scenarios for 2041–2070 and 2071–2100. Model performance shows regional disparities, with higher accuracy in East and Southern Africa (correlations 0.86–0.96) than in North and West Africa (correlations 0.63–0.73). Baseline analysis highlights North Africa's Sahara-Sahel and East Africa's highlands as high-potential regions (6–8 m/s, 100–300 W/m<sup>2</sup>), while Central and West Africa exhibit lower resources (1–3 m/s, <50 W/m<sup>2</sup>). Weibull-based bias correction reduces errors to near-zero (±0.017 m/s), achieving correlations above 0.7 and up to 70 % reduction in root mean square error (RMSE), with East African stations showing the greatest error reduction. Future projections indicate significant regional and seasonal variability. East African coastal stations (Lamu, Zanzibar) and selected West African sites project capacity factor increases over 30 % and wind power density gains of 80–90 % under SSP5-8.5, while North African stations face minimal or negative changes. Seasonal trends show West Africa's winter gains (+23.5 % wind speed, +90 % power density) contrasted by autumn declines, and North Africa's summer improvements offset by winter reductions. Wind speed variability decreases at some stations, aiding grid stability, but increases at others, requiring advanced forecasting. Exceptional winter capacity factor gains (>100 %) highlight East and West African potential. This study provides guidance for wind farm site selection, supporting Africa's renewable energy transition.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"30 ","pages":"Article 101145"},"PeriodicalIF":6.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022631","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

Plastic waste in concrete: Data-driven insights into strength behavior 混凝土中的塑料废物：数据驱动的强度行为洞察

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2026-01-20 DOI: 10.1016/j.clet.2026.101154

Abdullah Miah, Md Jahidul Islam

{"title":"Plastic waste in concrete: Data-driven insights into strength behavior","authors":"Abdullah Miah, Md Jahidul Islam","doi":"10.1016/j.clet.2026.101154","DOIUrl":"10.1016/j.clet.2026.101154","url":null,"abstract":"<div><div>Rapid urbanization and global population growth lead to a rise in plastic waste (PW) worldwide, making recycling a global challenge. A sustainable approach using PW in concrete industry may minimize the adverse effects. Integration of PW in concrete impacts mechanical performance, particularly compressive strength (CS). In addition, identifying the exact contribution of plastic remains difficult, particularly due to its heterogeneous characteristic and complex interactions within the concrete matrix. Hence, this study provides a comprehensive machine learning (ML) technique to predict the CS of plastic aggregate concrete (PAC). Considering this, a wide range of datasets comprising 612 experimental test outcomes was compiled from 74 literature sources. Seventeen widely adopted ML models including linear, tree-based, ensemble, and neural network algorithms were developed using eight influential input parameters. Among all models, MLPNN outperformed showing highest accuracy (R<sup>2</sup> = 0.826), with more than 75% of training and 70% of testing predictions falling within a minor error range. The narrow 95% Confidence Interval of ±0.9928 MPa further demonstrates low prediction variability. The sensitivity analyses using SHAP, ICE, and feature importance reported that dry unit weight, W/C ratio, and plastic aggregate (PA) addition are most impactful parameters. Results show that PA replacement up to 5% can maintain or slightly enhance CS, whereas higher additions (up to 20%) may reduce strength by around 5 MPa. This investigation offers a sustainable approach to concrete design using PW with the help of ML, which can be further enhanced through a GUI-based practical application and utilized by designers for PAC.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"30 ","pages":"Article 101154"},"PeriodicalIF":6.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022707","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

Designing a regenerative pomegranate supply chain network under uncertainty: A Lagrangian relaxation approach 不确定条件下石榴再生供应链网络设计：拉格朗日松弛方法

IF 6.5

Cleaner Engineering and Technology Pub Date : 2026-02-01 Epub Date: 2025-11-13 DOI: 10.1016/j.clet.2025.101117

Alireza Shamekhi Amiri , Parisa Karimi-Ashtiani , Seyed Ali Modarresi , Shahryar Sorooshian , Hassan Mina

{"title":"Designing a regenerative pomegranate supply chain network under uncertainty: A Lagrangian relaxation approach","authors":"Alireza Shamekhi Amiri , Parisa Karimi-Ashtiani , Seyed Ali Modarresi , Shahryar Sorooshian , Hassan Mina","doi":"10.1016/j.clet.2025.101117","DOIUrl":"10.1016/j.clet.2025.101117","url":null,"abstract":"<div><div>Regeneration is a fundamental concept at the heart of the circular economy. This concept emphasizes increasing positive environmental impacts in addition to achieving zero waste. Inspired by this concept, in this research, a mixed-integer linear programming model is developed to design a regenerative supply chain (SC) network in the pomegranate industry under uncertainty. In the investigated network, all pomegranate waste is transported to composting centers. Then, the compost produced by the composting centers is made available to farmers, thus integrating the concept of regeneration with SC operations. A stochastic scenario-based approach is used to deal with the uncertainty of the demand parameter. In addition, a Lagrangian relaxation algorithm is applied in order to solve the problem in large sizes. The validity of the developed algorithm is examined by comparing its results with GAMS results on nine small-sized instances. The results show that the proposed algorithm provides solutions close to GAMS solutions while being faster. Finally, the applicability of the presented model is confirmed through its implementation in a pomegranate industry in Iran.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"30 ","pages":"Article 101117"},"PeriodicalIF":6.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738404","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