Cleaner Logistics and Supply Chain最新文献

{"title":"Applications of AI to low carbon decision support system for global supply chains","authors":"Amit Kumar Vishwakarma ,&nbsp;Pratyush Kumar Patro ,&nbsp;Adolf Acquaye","doi":"10.1016/j.clscn.2025.100261","DOIUrl":"10.1016/j.clscn.2025.100261","url":null,"abstract":"<div><div>Carbon emissions are inherently embedded in the complex and dynamic supply chain, which is driven by operational activities. These climate change implications are intensifying, making it increasingly important to mitigate carbon emissions within supply chains. Specifically, this systematic literature review examines how artificial intelligence is applied to the reduction of carbon emissions, focusing on low-carbon interventions, supply chain performance evaluation, and decision support systems for managing carbon emissions in global supply chains. This study identifies and synthesizes key insights and trends in AI-driven approaches to carbon emissions reductions and supply chain optimization by reviewing a comprehensive array of available literature. A diverse range of AI applications, including optimization algorithms, predictive modeling, and decision support tools, demonstrate promising potential for enhancing efficiency and sustainability within global supply chains. Additionally, this review identifies key challenges in integrating AI for decarbonization. It presents real-world case studies demonstrating how AI-driven approaches have successfully reduced logistics, manufacturing, and energy management emissions. This review aims to synthesize the state of research on AI’s role in enabling sustainable supply chain management and carbon emission reductions and to provide valuable insights for practitioners, policymakers, and researchers interested in leveraging AI in these efforts. Finally, the paper develops and presents a conceptual framework proposed to guide the development of low carbon decision support system for global supply chains using AI.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100261"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107316","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}

{"title":"Key performance indicators for sustainable remanufacturing: A literature review and methodological framework","authors":"Camilo Mejía-Moncayo ,&nbsp;Amin Chaabane ,&nbsp;Jean-Pierre Kenné ,&nbsp;Lucas A. Hof","doi":"10.1016/j.clscn.2025.100260","DOIUrl":"10.1016/j.clscn.2025.100260","url":null,"abstract":"<div><div>Remanufacturing is a key strategy in the circular economy to support sustainability and address climate change. Its adoption is a challenging process that requires analyzing several factors about products, processes, and the supply chain. Furthermore, when considering the three pillars of sustainability— economic, environmental, and social—for the integration of remanufacturing practices, the difficulty for decision-makers increases significantly. Hence, practitioners and academics have invested considerable effort in developing various key performance indicators (KPIs) to evaluate remanufacturing, circular economy strategies, and sustainability. However, a concurrent focus on sustainable remanufacturing (SR) is still lacking. This study employs a systematic literature review (SLR) to define sustainable remanufacturing, identify KPIs, and provide practical application guidance. The developed SLR, based on 106 Scopus documents, identified a total of 1021 KPIs related to SR. Among these indicators, 32 economic, 16 environmental, and 3 social indicators were the most frequently referenced in the literature. The SLR also identified six frequent fields of use or application for the KPIs, along with their links to smart sustainable remanufacturing. This study also presents a methodological framework focused on assessing products from disassembly, recycling, and remanufacturing in a sustainable manner, to guide decision-makers in using KPIs in the transition to SR.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100260"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050068","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}

{"title":"Optimal reassignment of green vehicles for improving last-mile delivery distribution in cities with low emissions zones","authors":"Joaquín Álvarez-Horcajo ,&nbsp;José M. Oliet-Villalba ,&nbsp;Luis M. Moreno-Saavedra ,&nbsp;Juan A. Carral ,&nbsp;Sancho Salcedo-Sanz","doi":"10.1016/j.clscn.2025.100282","DOIUrl":"10.1016/j.clscn.2025.100282","url":null,"abstract":"<div><div>In this paper we tackle a problem of green vehicles reassignment for improving last-mile delivery distribution. Specifically, we consider the case of a large last-mile delivery company operating in some of the largest cities of Spain, where Low Emission Zones (LEZs) have been deployed in the last years, following an EU directive. We develop an intelligent system based on heuristics and metaheuristic algorithms which reassigns green vehicles between different cities in Spain where the company delivers. The reassignment process has been carried out in such a way that the vehicles are able to operate in the different cities considered, and it also follows a sustainability criterion, based on minimizing the distance of the vehicles reassignment. The results obtained show the performance of the proposed algorithms in this particular problem, and what is the effect of the reassignments in the performance of last-mile delivery in the cities considered.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100282"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416340","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}

{"title":"Blockchain technology for sustainable supply chains in the fishing industry: A systematic review","authors":"Emmanuel Kafti Mawrides ,&nbsp;Alok Mishra ,&nbsp;Bjørn Jæger","doi":"10.1016/j.clscn.2025.100277","DOIUrl":"10.1016/j.clscn.2025.100277","url":null,"abstract":"<div><div>This study presents a systematic review on the application of blockchain in fish supply chains. It addresses the current state of blockchain in fish supply chains, enablers and challenges to its adoption. The review delves into the fishing industry, focusing on empirical works on the intersection of blockchain and sustainability where there is limited research. The key findings illustrate that the themes of transparency, traceability, trust, and information sharing are dominant in the blockchain and fish supply chains domain. By synthesizing and critically assessing existing empirical research, the paper further sheds light on the interplay between blockchain and sustainable fish supply chains, further examining the facilitators that drive blockchain adoption. The findings demonstrate real-time visibility, authentication and security, cost reduction and blockchain’s decentralized nature as the main facilitators. Conversely, the study investigates challenges that hinder the seamless integration of blockchain in fish supply chains under the three categories of technology, organizational and regulatory frameworks. High costs of investments, resistance to change, environmental concerns and challenges such as forking, scalability issues, garbage in garbage out and integration issues emerge as the predominant barriers to adoption of blockchain in supply chain contexts. The paper further discusses smart contracts, token economics and consensus mechanisms and their impact on sustainability in this domain. There is need for further research into the social aspects of sustainability that have limited empirical research compared to governance and environmental sustainability for fish supply chains.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100277"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416344","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}

{"title":"Stakeholder perspectives on digital product passports for construction products","authors":"Winnie Ruismäki,&nbsp;Malin zu Castell-Rüdenhausen,&nbsp;Elina Pohjalainen,&nbsp;Margareta Wahlström","doi":"10.1016/j.clscn.2025.100275","DOIUrl":"10.1016/j.clscn.2025.100275","url":null,"abstract":"<div><div>This paper explores the potential of the digital product passport (DPP) for advancing circularity in the construction sector, in line with the goals of Sustainable Product Initiative and the Construction Products Regulation. Despite its presumed implication for circularity, significant knowledge gaps remain, especially within the construction industry. To address these, the study utilizes semi-structured interviews and a survey to identify the benefits of the DPP, the data needs of key stakeholders, the barriers to implementation as well as the conditions related to efficient implementation. Findings suggest that manufacturing, usage, life-cycle and end-of-life data may form a foundational framework. Key stakeholders identified benefits such as improved traceability and resource efficiency, as well as the potential of integrating with building information modeling, alongside challenges including intellectual property concerns. The study concludes that the DPP should be tailored to each product group, with an optimal level of detail that balances intellectual property while ensuring transparency. Future research should refine the framework by identifying more specific data within each data type.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100275"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416345","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}

{"title":"Enabling coercive drivers with green supply chain management practices to gain performance Nexus through external collaboration and monitoring","authors":"Aamir Rashid ,&nbsp;Rizwana Rasheed","doi":"10.1016/j.clscn.2025.100278","DOIUrl":"10.1016/j.clscn.2025.100278","url":null,"abstract":"<div><div>Businesses primarily provide products or services, expand operations, and generate profits. However, they frequently disregard the environmental and economic consequences of their actions as they strive for profitability and growth. Consequently, the main objective of this research was to examine the impact of a multifaceted supply chain function on performance. Data were collected from 415 respondents employed in various manufacturing companies within a developing economy. The hypotheses were evaluated using Structural Equation Modeling (SEM) through Smart PLS. The findings discovered that ten of the thirteen hypotheses tested were supported, while three were not. Coercive drivers were observed to significantly influence Businesses, primarily green supply chain management practices (GSCMP) adoption. Similarly, GSCMP significantly impacted external collaboration (EC) and external monitoring (EM). Additionally, GSCMP, EC, and EM significantly affected operational, financial, and environmental performances, respectively, except for GSCMP’s impact on operational performance. The performance constructs’ results varied in their significance and insignificance. These results underscore managers’ importance in responding to external pressures by implementing environmentally friendly practices. The study suggests that firms should integrate green initiatives into their collaborations with suppliers and customers to achieve a comprehensive impact that enhances sustainable performance.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100278"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416339","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}

{"title":"Model of Intermodal Competition: A Case Study in East Java","authors":"Bambang Eko Afiatno,&nbsp;Karno Dwi Joyoutomo,&nbsp;Kresno Eka Mukti","doi":"10.1016/j.clscn.2025.100267","DOIUrl":"10.1016/j.clscn.2025.100267","url":null,"abstract":"<div><div>As part of a national agenda to enhance logistics efficiency, the Indonesian government is expanding dry port infrastructure in East Java, emphasizing multimodal connectivity between industrial zones and seaports. Bangil, Pasuruan has been designated as a strategic dry port location, supported by the potential reactivation of Pasuruan Port and integration with the national railway network. This study aims to comprehensively determine the optimal transportation mode for container shipments from Bangil to Tanjung Perak Port, Surabaya. While trucking remains the dominant mode, the emergence of rail and barge alternatives presents opportunities for more efficient and sustainable freight movement, particularly for hinterland industries. The methodology involves surveys around the Port of Tanjung Perak and secondary data collection, providing valuable insights for supply chain decision-making, regional logistics improvement, and the economic growth of East Java. Key indicators like cost, distance, speed, total time, loading/unloading time, overall time, and capacity for road, rail, and sea modes are considered. Results show that barge is the most cost-effective for 1 TEU containers (IDR 29,570/<span><span>TEUs.km</span><svg><path></path></svg></span>), followed by truck (IDR 36,791/<span><span>TEUs.km</span><svg><path></path></svg></span>) and train (IDR 63,810/<span><span>TEUs.km</span><svg><path></path></svg></span>). For 2 TEUs containers, truck remains optimal (IDR 46,099/<span><span>TEUs.km</span><svg><path></path></svg></span>). In terms of time efficiency, rail is fastest (2.14 h/TEUs.trip), followed by truck (2.31 h/TEUs.trip) and barge (6.92 h/TEUs.trip). These findings support strategic modal planning and provide actionable insights for advancing intermodal container logistics in Indonesia.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100267"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222025","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}

{"title":"Green construction supply chain: Reviewingadvancements, obstacles, and possibilities","authors":"Himasai Kiran Reddy Durgam,&nbsp;Prasanna Venkatesan Ramani","doi":"10.1016/j.clscn.2025.100259","DOIUrl":"10.1016/j.clscn.2025.100259","url":null,"abstract":"<div><div>The fragmented supply chain in the construction sector leads to diminished productivity, resource waste, and elevated carbon emissions. This issue is exacerbated by insufficient knowledge sharing among stakeholders and project complexity. The increasing academic focus on construction management and sustainability advocates the integration of circular economy principles throughout the supply chain lifecycle. There is significant potential to enhance the understanding of decarbonization by pinpointing actionable advancements that assist stakeholders in adopting circularity principles. In this study, Bibliometrics and Grounded Theory Methodology (BIBGT) was used to combine the bibliometric tools with Grounded Theory Methodology (GTM). This review method demonstrates how AI analytics, BIM, IoT, and other technologies, when integrated with blockchain traceability, can address challenges and support sustainable practices in the green construction supply chain based on the previously published articles. Government bodies, policymakers, private firms, technology developers, and sustainability scholars can utilize the findings of this study to inform regulations, guide investments in start-ups, and foster low-carbon innovation. To build on these findings, this review systematically consolidates themes and challenges related to construction circularity using a bibliometrics grounded theory methodology that clarifies keywords, publications, concepts, technologies, and methods pertinent to construction supply chain integration while addressing current research limitations. Furthermore, this study examined the application of technology across the six lifecycle stages of construction supply chains, from planning to recycling. This review aims to bridge the knowledge-sharing gap by connecting industry and academia perspectives. Ultimately, this review identifies the primary challenges facing construction supply chains as sustainability, collaboration, adaptability, and data-sharing efficacy. The successful implementation of potential technologies and possibilities has been synthesized into a conceptual framework for future circularity research in construction, ultimately aiding in the reduction of carbon emissions in the supply chain.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100259"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049900","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}

{"title":"A hybrid framework for prioritizing the solutions to mitigate sustainable supply chain barriers in industry 5.0","authors":"Md Kamruzzaman,&nbsp;Anup Karmakar,&nbsp;Md.Golam Kibria","doi":"10.1016/j.clscn.2025.100268","DOIUrl":"10.1016/j.clscn.2025.100268","url":null,"abstract":"<div><div>Industry 5.0 is a potential framework that aims to envision the most advanced industrial, transportation, energy-efficient, and sustainable supply chain (SSC) of the future. Industry 5.0 and SSC are essential ideas that are revolutionizing the operational strategies of enterprises in the modern day. Concurrently, these two principles propel the development of a very sustainable and resilient global economy. Contemporary organizations are increasingly adopting sustainable practices in the supply chain by using technology such as blockchain, artificial intelligence (AI), and collaborative robots (co-bots) to trace the source of products, guarantee ethical and sustainable sourcing and procurement, and efficiently and securely collaborate with humans. Focusing on the goal of sustainability, the current study utilized a three-step methodology and a hybrid framework to rank solutions for overcoming SSC barriers in the pharmaceutical industry supply chain. We conduct a comprehensive literature review to identify the barriers and solutions, then finalize them using the Delphi technique. The current study finalized 16 SSC barriers and 14 solutions. The fuzzy analytical hierarchy process (FAHP) is used to prioritize barriers and calculate the weight of each barrier. The main challenge that obstructs the adoption of SSC into practice is higher initial investment and unclear return on investments. The current study used Extended PROMETHEE II (EXPROM2) for prioritization of SSC solutions. The solution ranking indicates that governmental assistance and public–private partnerships are the most effective approaches for overcoming the listed barriers. Additionally, a sensitivity analysis is conducted to assess the appropriateness of the final findings of the current study. The current findings will allow organizations to pinpoint the most troublesome barriers and therefore implement solutions that may mitigate their severity.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100268"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121005","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}

{"title":"Leveraging digital twins for enhanced sustainable warehouse management","authors":"Adnane Drissi Elbouzidi ,&nbsp;Rosin. Frédéric ,&nbsp;Robert Pellerin ,&nbsp;Samir Lamouri ,&nbsp;Abdessamad Ait El Cadi","doi":"10.1016/j.clscn.2025.100287","DOIUrl":"10.1016/j.clscn.2025.100287","url":null,"abstract":"<div><div>Warehouses are increasingly under pressure to reduce their carbon footprint. Yet, traditional carbon accounting approaches remain ill-suited to support real-time or operational decision-making dedicated to lower their environmental impacts. These methods typically rely on aggregated, static data and offer vague emission estimates. To address this issue, this paper introduces a bottom-up carbon accounting framework embedded within a warehouse Digital Twin (DT), enabling real-time, resource-level emissions tracking and scenario analysis. The framework builds upon the Toyota Business Practices (TBP) method to analyze the results of traditional carbon accounting by integrating data streams from Warehouse Management Systems (WMS) and sensor inputs into DT simulation modules to allocate emissions at the level of equipment and processes. A case study conducted in a 3PL warehouse in France demonstrates the model’s ability to match aggregate estimates from conventional carbon accounting (CCA) tools, while delivering substantially higher resolution. Notably, the DT identified overlooked emission hotspots, including employee commuting and the use of packaging materials made from wood and plastic, to support operational “what-if” analysis and evaluate the carbon and cost trade-offs of alternative scenarios. These findings highlight the potential of Warehouse DTs to shift carbon accounting from a static reporting function to an actionable sustainability management tool.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100287"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578783","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}