Cleaner Logistics and Supply Chain最新文献

{"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":"2025-09-20","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":"Turning challenges into opportunities when adopting remanufacturing by original equipment manufacturers","authors":"Jelena Kurilova-Palisaitiene ,&nbsp;Paulina Golinska-Dawson ,&nbsp;Leire Gorroño-Albizu ,&nbsp;Johan Vogt Duberg","doi":"10.1016/j.clscn.2025.100265","DOIUrl":"10.1016/j.clscn.2025.100265","url":null,"abstract":"<div><div>The recent trend towards sustainable production and consumption contributes to the development of the remanufacturing industry worldwide. Despite the growing number of independent remanufacturers, remanufacturing is practiced by a limited number of European original equipment manufacturers (OEMs). There is a gap in OEM knowledge on remanufacturing as well as a lack of successful cases of OEMs adopting remanufacturing. Yet, the remanufacturing research focuses on <em>why</em> instead of <em>how</em> to adopt remanufacturing. As a result, many OEMs willing to adopt remanufacturing find themselves lost in numerous challenges. The <strong>aim</strong> of this paper is to identify OEM challenges when adopting remanufacturing and develop recommendations on how to turn challenges into opportunities. To achieve this aim, we utilize literature review and case study research methodologies. In the literature, we identified 12 clusters of challenges on OEM <em>micro</em>- and <em>meso</em>-levels and verified those at eight case companies. We then outlined the recommendations for OEMs on how to turn challenges into opportunities.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100265"},"PeriodicalIF":6.8,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107319","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":"2025-09-15","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":"Multi-echelon open location-routing problem with time window and mixed last-mile delivery for optimizing food supply chains","authors":"Ali Mokhtari-Moghadam ,&nbsp;Pourya Pourhejazy ,&nbsp;Xinan Yang ,&nbsp;Abdella Salhi","doi":"10.1016/j.clscn.2025.100266","DOIUrl":"10.1016/j.clscn.2025.100266","url":null,"abstract":"<div><div>The pandemic experience made online grocery shopping the new normal. The perishable and Fast-Moving Consumer Goods (FMCG) supply chain should be adjusted to extend their distribution capabilities and adapt to the new business environment. This study introduces the Three-Echelon Open Location-Routing Problem with Time Windows (3E-OLRPTW) with simultaneous home delivery and store pickup services for optimizing last-mile delivery operations. A Mixed-Integer Non-Linear Programming (MINLP) formulation and an improved metaheuristic, the Hybrid Genetic Algorithm (HGA), are developed using a customized local search method. The objective is to minimize total operating costs while accounting for the time window and capacity constraints. Numerical experiments are conducted to evaluate the performance of the developed solution method, comparing it with the improved hybrid variants of the Genetic Algorithm (GA), Artificial Bee Colony (ABC), Simulated Annealing (SA), and Imperialist Competitive Algorithm (ICA) algorithms. Statistical tests confirm that the HGA algorithm outperforms the benchmarks in terms of solution quality and convergence.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100266"},"PeriodicalIF":6.8,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107317","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":"Toward greener logistics: uncovering key enablers of the physical internet using AI-powered theme analysis","authors":"Enna Hirata ,&nbsp;Varsolo Sunio ,&nbsp;Russell G. Thompson ,&nbsp;Greg Foliente","doi":"10.1016/j.clscn.2025.100263","DOIUrl":"10.1016/j.clscn.2025.100263","url":null,"abstract":"<div><div>Transitioning to a zero-carbon, sustainable logistics ecosystem requires a fundamental shift in how physical, digital, and organizational systems interact. The Physical Internet (PI) presents a transformative vision for logistics and supply chain management by providing a blueprint for decarbonized, circular, and resilient operations. However, the complex, interdisciplinary nature of its knowledge base presents challenges for coordinated global implementation. This study introduces a dual-model natural language processing (NLP) approach combining transformer-based topic modeling (BERTopic) with maximal marginal relevance (MMR) and generative pretrained transformer (GPT) techniques. This hybrid approach enables the extraction and synthesis of key research themes from over 2600 scientific publications on PI. Thematic analysis revealed eight critical domains, ranging from smart infrastructure and energy systems to cybersecurity and governance that are foundational to PI’s sustainable development and adoption. Furthermore, we evaluated the alignment of these themes with the PI roadmaps and the UN sustainable development goals (SDGs), especially SDG 9 (Industry, Innovation and Infrastructure), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action). Results highlight the importance of interoperability, digital twin technologies, renewable energy integration, and secure data exchange for achieving greener and more adaptive logistics networks. This work provides a scalable, data-driven methodology for strategic decision-making and knowledge synthesis, thereby supporting the sustainable transformation of logistics and supply chains.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100263"},"PeriodicalIF":6.8,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107318","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":"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":"2025-09-10","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":"Risk evaluation in the implementation of sustainable measures in the supply chain operations: A Fuzzy Delphi-DEMATEL approach","authors":"Venkateswarlu Nalluri ,&nbsp;K. Meghana Chowdary ,&nbsp;Long-Sheng Chen","doi":"10.1016/j.clscn.2025.100262","DOIUrl":"10.1016/j.clscn.2025.100262","url":null,"abstract":"<div><div>Sustainable supply chain operations in developing countries like India face significant challenges due to fragmented risk management frameworks, regulatory uncertainty, infrastructural bottlenecks, and resource limitations, these issues hinder the effective implementation of sustainable measures. A critical problem is the lack of a systematic understanding and clearly defined causal relationships among the risks that impact sustainability initiatives. This study aims to holistically evaluate the causal relationships between these risks associated with the implementation of sustainable measures in supply chain operations. Key Risk Factors (KRFs) were identified through a thorough systematic literature review and validated using the Fuzzy Delphi Method (FDM). Further, to examine the causal relationship among KRFs used the Fuzzy DEMATEL method. This study result was confirmed that difficulty in importing technology and process, market competition, and changes customer in expectations are major risks. The management and operational, and logistics and infrastructural were determined as minor risks. This study contributes by identifying KRFs and evaluating their causal relationships in the implementation of sustainable measures within supply chain operations, through a combined Fuzzy Delphi–DEMATEL approach. By modelling the structural influence among KRFs, the study provides practical insights for service supply chain operators to design targeted risk mitigation strategies. These insights are vital for supporting the adoption of sustainable practices in the unique context of India’s supply chains. This research adds to the existing literature by comprehensively identifying and classifying stakeholder-driven causal relationships among KRFs in service-oriented supply chains using Fuzzy Delphi–DEMATEL approach.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100262"},"PeriodicalIF":6.8,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027775","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":"2025-09-07","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":"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":"2025-09-07","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":"From a conventional to a sustainable business model – a review on transformation actions and indicators","authors":"Manuel Brunner ,&nbsp;Katherine Gundolf ,&nbsp;Gilles Guieu","doi":"10.1016/j.clscn.2025.100258","DOIUrl":"10.1016/j.clscn.2025.100258","url":null,"abstract":"<div><div>This paper presents a comprehensive literature review of the evolving landscape of business models, particularly focusing on the integration of sustainability. This paper delves into the transition from conventional business models to sustainable ones, emphasizing the growing importance of environmental and social sustainability driven by global initiatives such as the United Nations’ Sustainable Development Goals and the European Union’s Green Deal. The study proposes a research question to understand the current literature on business models and sustainability and identify actions and indicators to facilitate the transformation. The research employs a systematic literature review, bibliometric analysis, and qualitative content analysis to provide a comprehensive overview of the available literature. The findings reveal a growing emphasis on sustainability, focusing on circular economy, business model innovation, and sustainability management. The paper also highlights key publications and institutions contributing to this evolving field, shedding light on the increasing relevance of sustainability in business models.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100258"},"PeriodicalIF":6.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144931787","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}