Cleaner Logistics and Supply Chain最新文献

{"title":"Assessment of robustness attributes in electronic products supply chains","authors":"Sílvio Luiz Alvim,&nbsp;Lúcio Galvão Mendes,&nbsp;Marina Bouzon,&nbsp;Enzo Morosini Frazzon,&nbsp;Davi de Simas","doi":"10.1016/j.clscn.2024.100160","DOIUrl":"https://doi.org/10.1016/j.clscn.2024.100160","url":null,"abstract":"<div><p>To facilitate the shift to circular models, supply chains urgently need to be strengthened and made more resilient and robust. The COVID-19 pandemic generated problems in logistics activities, disrupting supply chains, including electronic products flows. In this context, based on the need to keep supply chains reliable in the face of the risks inherent in their processes, this work aims to identify the attributes for a robust supply chain and analyze the interrelationship among them using DEMATEL technique. As a result, it was observed that the agility factor, risk-oriented management, and flexibility are the most important factors, and that Information Technology and Human Resources are the most influential (causal factors) for the design of a robust supply chain in the context of electronic products<em>.</em></p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"12 ","pages":"Article 100160"},"PeriodicalIF":6.9,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000222/pdfft?md5=4a50ca56ddf21eb1fd7b2e945d8ba268&pid=1-s2.0-S2772390924000222-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141444532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the effects of stakeholder forces on sustainable practices in the Bangladeshi garment industry","authors":"Sharmin Julie ,&nbsp;Andrew Potter ,&nbsp;Ruoqi Geng","doi":"10.1016/j.clscn.2024.100162","DOIUrl":"https://doi.org/10.1016/j.clscn.2024.100162","url":null,"abstract":"<div><p>This paper aims to explore the current stakeholder forces for sustainable supply chain management (SSCM) in the Bangladeshi garment industry. The focal point is identifying which stakeholder forces could enhance sustainable practices in the factory premises, and whether there are conflicting forces which might obstruct the sustainable practices. A qualitative research design is adopted, drawing on data from 37 semi-structured interviews with stakeholders related to garment manufacturing. Thematic analysis conceptually guides the analytical process. The findings demonstrate the supporting and hindering forces currently influencing the garment industry in Bangladesh. This paper also identifies three conflicting forces relating to economic gain, employee empowerment and global image, where trade-offs towards SSCM implementation exist. This study extends existing research relating to SSCM within the garment industry of Bangladesh, identifying differences between different stakeholder groups and recognising the conflicting forces that exist.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"12 ","pages":"Article 100162"},"PeriodicalIF":6.9,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000246/pdfft?md5=e77c6b456e54e55c2df27eb65fb78c51&pid=1-s2.0-S2772390924000246-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141480234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring scientific publications for the development of relevant and effective supplier selection methods and criteria in the food Industry: A comprehensive analysis","authors":"Haryono ,&nbsp;Ilyas Masudin ,&nbsp;Yustina Suhandini ,&nbsp;Devika Kannan","doi":"10.1016/j.clscn.2024.100161","DOIUrl":"10.1016/j.clscn.2024.100161","url":null,"abstract":"<div><p>This study conducted a comprehensive bibliometric analysis to uncover emerging trends, preference patterns in supplier selection, and the important factors considered in the process. This study integrates three interrelated approaches, namely bibliometric analysis, literature review, and expert interviews. This study demonstrates the significant contribution of combining bibliometric analysis and literature review in the development of supplier selection methods. Two primary approaches are commonly employed: Multi-Criteria Decision Making (MCDM) and Optimization. MCDM methods, such as AHP, SWARA, and TOPSIS, are frequently utilized to measure relative preferences and select the most suitable supplier. On the other hand, the optimization approach employs linear programming methods to achieve optimal solutions in supplier selection. The hybridization of methods, particularly the combination of AHP and Linear Programming, is the most commonly employed approach to achieve more effective supplier selection outcomes aligned with the food industry's needs. Furthermore, this study discusses the significance of identifying and developing relevant supplier criteria in the food industry. Notably, environmental criteria emerge as prominent qualitative criteria, while quality and sustainability stand out as primary quantitative criteria.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"12 ","pages":"Article 100161"},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000234/pdfft?md5=d45ae25ca689dec050440c9b66b670f1&pid=1-s2.0-S2772390924000234-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141404428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An exact method for vehicle routing problem with backhaul discounts in urban express delivery network","authors":"Jinqiu Zhao ,&nbsp;Yongwu Liu ,&nbsp;Jinwei Zhang ,&nbsp;Jing Zhang ,&nbsp;Yixiao Huang ,&nbsp;Le Yu ,&nbsp;Binglei Xie","doi":"10.1016/j.clscn.2024.100157","DOIUrl":"https://doi.org/10.1016/j.clscn.2024.100157","url":null,"abstract":"<div><p>The surge in e-commerce has led to an increased demand for urban express services, requiring the strategic development of delivery networks that are both efficient and cost-effective. This study addresses a practical vehicle routing problem (VRP) in an urban express delivery network to minimize transportation costs. Specifically, it considers the implementation of backhaul discounts, a factor disregarded in the existing literature. This VRP is further complicated by various realistic constraints, including pickup and delivery, time windows, multiple trips, heterogeneous fleets, and docking capacity limitations, which make most general VRP solvers inapplicable. This study proposes a trip-based formulation to overcome this challenge and develop a tailored branch-and-price algorithm. Feasible trips are classified into four types to simplify the computation of backhaul discounts, thereby enhancing solution efficiency. Validation with real-world data from SF Express substantiates the efficacy of our method and yields insights for sustainable city logistics management. Moreover, our simplified column generation algorithm exhibits competitive performance, achieving optimal solutions expeditiously for the tested instances.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"11 ","pages":"Article 100157"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000192/pdfft?md5=d54db2a1a77a0524a9c0a367a0ab764c&pid=1-s2.0-S2772390924000192-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141292021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biofuel supply chain planning and circular business model innovation at wastewater treatment plants: The case of biomethane production","authors":"Zoltán Csedő ,&nbsp;József Magyari ,&nbsp;Máté Zavarkó","doi":"10.1016/j.clscn.2024.100158","DOIUrl":"10.1016/j.clscn.2024.100158","url":null,"abstract":"<div><p>Advanced biofuels, such as biomethane, could contribute to environmental sustainability in increasingly interrelated sectors, such as energy and waste management. Accordingly, innovative biomethane production technologies are argued to be the enablers of circular and waste-to-energy concepts, for example, at wastewater treatment plants (WWTPs). Nevertheless, their integration into biofuel supply chain (BSC) research is overlooked from a circular business model innovation (BMI) perspective. This study aims to address this research gap by focusing on an innovative biomethane production approach (power-to-gas, P2G) and related circular business model innovation opportunities in the context of WWTPs. We carried out lab-scale research and a case study at a mid-sized European WWTP to establish an empirical basis for large-scale techno-economic calculations. Despite the explored technological opportunity to increase advanced biofuel supply and decrease carbon dioxide emissions at WWTPs, current market risk levels challenge the economic prospects of the system concept. These empirical results demonstrate the necessity of policy interventions in different combinations (e.g., investment support, favourable taxation, feed-in tariffs). This study is one of the first to combine technological and business modelling aspects to support BSC planning, and supplement optimization-focused BSC research with explorative techno-economic analyses based on empirical data.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"11 ","pages":"Article 100158"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000209/pdfft?md5=1b1950bad6027499b330678acdc48e2e&pid=1-s2.0-S2772390924000209-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141276481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncertain programming model for designing multi-objective reverse logistics networks","authors":"Hanbing Xia,&nbsp;Zhiyuan Chen,&nbsp;Jelena Milisavljevic-Syed,&nbsp;Konstantinos Salonitis","doi":"10.1016/j.clscn.2024.100155","DOIUrl":"10.1016/j.clscn.2024.100155","url":null,"abstract":"<div><p>Given the contradiction between the rapid growth of products and the modest recovery rate of end-of-life products, there is a pressing need to understand the societal significance of establishing a reverse logistics network for end-of-life products. This research constructs an open-loop five-tier reverse logistic network model encompassing customers, centres for collection, disassembly and inspection, remanufacturing, and disposal. A multi-objective mixed-integer nonlinear programming model under uncertainty has been developed. Unlike previous research, this model accounts for surrounding residents' disutility of facilities while simultaneously minimizing economic costs and environmental impact. Besides, uncertainty theory is introduced in solving the proposed model. More specifically, the formulated model converts all uncertain variables into uncertain distributions by implementing the uncertain multi-objective programming method. Furthermore, a customised non-dominated sorting genetic algorithm III (NSGA-III) is proposed and is employed for the first time to address facility selection and recycling volume distribution within the network. The model is then validated using a real-life case study focusing on end-of-life vehicles in Changchun, China. This research could assist decision-makers in both governmental and private sectors in achieving a balanced approach to the interests of the economy, environment, and local communities comprehensively when designing reverse supply chains.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"11 ","pages":"Article 100155"},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000179/pdfft?md5=2ea4e0169093b5ee421188c82b4fbfc3&pid=1-s2.0-S2772390924000179-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141045036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nexus among artificial intelligence implementation, healthcare social innovation, and green image of hospitals’ operations management in Egypt","authors":"Heba Mohamed Adel ,&nbsp;Mennatallah Khaled ,&nbsp;Mohamed Ahmed Yehya ,&nbsp;Rahma Elsayed ,&nbsp;Rawan Sameh Ali ,&nbsp;Farah Emam Ahmed","doi":"10.1016/j.clscn.2024.100156","DOIUrl":"10.1016/j.clscn.2024.100156","url":null,"abstract":"<div><p>The aim of this paper is to decipher and investigate the relationship between artificial intelligence implementation (AII), healthcare social innovation (HSI) and hospitals’ green image (HGI) in an Egyptian emerging market. An interdisciplinary research with a mixed-methods approach was conducted to add bricks, conceptually and empirically, that fill a literature gap between using this evolving AI-technology and sustaining socially-innovative medical operations and supply-chain management (OSCM) practices in a dynamic green healthcare industry. After scanning the relevant transdisciplinary literature, the authors developed and tested a conceptual model through analysing data collected from 116 quantitative questionnaires answered by healthcare managers/leaders in 46 Egyptian hospitals. After applying structural equation modeling using SmartPLS-v4, the results illustrated that AII has a positive significant impact on HSI, which has a positive significant influence on HGI. Furthermore, AII-HGI relationship can be fully-mediated significantly by HSI, which confirms the significant role of AI-powered technology in reinforcing socially-innovative medical OSCM processes to sustain an environmental-friendly image of Egyptian hospitals. Based on these quantitative findings and qualitative fruitful interviews with healthcare leaders and technology experts, this article used a comprehensive approach to contribute to AI-enhanced healthcare OSCM literature in interdependent ways. It encapsulated the benefits and obstacles of using AI-driven socially-innovative green medical OSCM practices in emerging healthcare markets similar to Egypt. Moreover, it proposed a balanced scorecard map for communicating and evaluating socially-responsible ecofriendly OSCM strategy of AI-powered hospitals. As for the practical implications, the medical operations and supply-chain managers of similar emerging healthcare markets can benefit from the exemplars highlighted throughout this paper on how their hospitals can invest in AI-based healthcare processes/services, which can provide creative and scientific solutions for social, educational, environmental and economic problems within their countries. Thus, reflecting on the social implications, these digitally-transformed hospitals can contribute innovatively to the social wellbeing of their communities and promote their green image among their supply-chain stakeholders.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"11 ","pages":"Article 100156"},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000180/pdfft?md5=37067f965a2a013b8334687049367826&pid=1-s2.0-S2772390924000180-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141053345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A cyclic and holistic methodology to exploit the Supply Chain Digital Twin concept towards a more resilient and sustainable future","authors":"Antonio Cimino ,&nbsp;Francesco Longo ,&nbsp;Giovanni Mirabelli ,&nbsp;Vittorio Solina","doi":"10.1016/j.clscn.2024.100154","DOIUrl":"https://doi.org/10.1016/j.clscn.2024.100154","url":null,"abstract":"<div><p>Recent major disruptions such as natural disasters, geopolitical tensions, Covid-19 pandemic have led supply chain managers to rethink strategies for achieving significant levels of sustainability and resilience. At the same time, new digital technologies are offering significant opportunities to increase company performance, while maintaining a high level of customer service. In this challenging context, the Supply Chain Digital Twin (SCDT) represents an emerging and promising concept, which deserves to be explored. In this paper, a holistic and cyclical methodology, based on simulation, is proposed to enable and exploit the SCDT Paradigm, with the main aim to increase sustainability and resilience of the chains. The proposed methodology is successfully tested and validated on a real case study in the agri-food sector, through the use of the anyLogistix software. The results return valuable information on the level of resilience of the supply chain in the face of any considered disruption and provide useful managerial insights on the actions to be taken to improve some performance indicators.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"11 ","pages":"Article 100154"},"PeriodicalIF":0.0,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000167/pdfft?md5=4f181de7dd825b85035d1efca8b7fcbe&pid=1-s2.0-S2772390924000167-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140823435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managing port disruption through sailing speed optimization for sustainable maritime transportation","authors":"Summer Guo ,&nbsp;Haoqing Wang ,&nbsp;Shuaian Wang","doi":"10.1016/j.clscn.2024.100153","DOIUrl":"https://doi.org/10.1016/j.clscn.2024.100153","url":null,"abstract":"<div><p>Ports, as nodes in maritime transportation, frequently face disruptions leading to congestion, adversely affecting the efficiency and sustainability of the global supply chain. This study considers the speeding-up strategy to alleviate port congestion. We model the transportation network as a closed Jackson network and adopt a tailored mean-value analysis algorithm to solve the model. To deliver the increased sailing speed, we further put forward a bi-section search algorithm. Our numerical analysis results demonstrate the feasibility of increasing speed to alleviate port congestion. However, when port congestion exceeds a certain threshold, the system faces collapse, rendering the increase in speed ineffective. Additionally, we recommend shipping companies consider using clean energy when employing the speeding-up strategy to mitigate congestion, thus safeguarding the environment. Our study combines theoretical methodologies and analytical models, providing insights regarding speeding up the vessels. The findings of this study offer guidelines for real-world sustainable maritime practice.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"11 ","pages":"Article 100153"},"PeriodicalIF":0.0,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000155/pdfft?md5=5d67bda41695be6d2efd4a91c7ae1901&pid=1-s2.0-S2772390924000155-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140823434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification and analysis of drivers for carbon regulatory environmental policies implementation in manufacturing supply chain: A zero carbon perspective","authors":"Rahul Solanki ,&nbsp;Devika Kannan ,&nbsp;Jyoti Dhingra Darbari ,&nbsp;P.C Jha","doi":"10.1016/j.clscn.2024.100150","DOIUrl":"https://doi.org/10.1016/j.clscn.2024.100150","url":null,"abstract":"<div><p>Manufacturing supply chains (SCs) has received great attention in both academia and industries to improve ecological sustainability and achieve net-zero emissions. Governments across the globe are adopting various Carbon Regulatory Policies (CRPs) to curb excessive carbon emissions through SCs and promote sustainable development. Especially among the emerging economies, organizations are under immense pressure from consumers and stakeholders for a transitional shift towards zero-carbon society. Therefore, this research develops a multi-stakeholder framework that identifies and evaluates the drivers of CRP adoption and implementation in manufacturing SC to elevate ecological sustainability. At first through an extensive literature review and Delphi method, relevant drivers and sub-drivers are identified, finalized and categorized under economic, environmental, social, technical and organizational categories. Secondly, <em>fuzzy</em> Best Worst Method (<em>f</em>-BWM) is employed to examine relative importance of all the drivers and sub-drivers. Thirdly, Weighted Influence Non-Linear Gauge System (WINGS) method is used to determine their cause-effect relationships. The proposed framework is illustrated through an industrial case study considering multiple manufacturing organizations in India. The results show that <em>availability of initial funding</em>, <em>economic benefits</em>, and <em>legislative support</em> obtained top three positions in the priority list, whereas, <em>skill training of workers</em> attained the least priority. Finally, critical managerial implications are deduced based on the results of relative importance and inter-relationships analysis. The proposed analytical framework can guide managers and policy makers to the identified drivers to foster effective CRP implementation.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"11 ","pages":"Article 100150"},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277239092400012X/pdfft?md5=6411908930270303337032565bd6745e&pid=1-s2.0-S277239092400012X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140622621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}