Cleaner Logistics and Supply Chain最新文献

{"title":"A sustainable inventory model for a two-echelon cold chain with green technology investments and stock-dependent demand under carbon emissions tax regulation","authors":"Makoena Sebatjane","doi":"10.1016/j.clscn.2024.100173","DOIUrl":"10.1016/j.clscn.2024.100173","url":null,"abstract":"<div><div>Cold chains are specialised supply chains that make use of refrigerated storage facilities and distribution nodes. Products that have to be stored and distributed via cold chains are temperature-sensitive items such as perishable food or vaccines. If these products are not maintained at the correct temperatures, their safety and quality may be comprised with dire consequences for end-users. Operating refrigerated storage units consumes a lot of energy and the majority of transportation trucks used for distribution are powered by fossil fuels and therefore, cold chains are a major source of carbon emissions. With this in mind, this paper proposes a sustainable inventory model for a two-echelon cold chain with stock-dependent demand and green technology investments under a carbon emissions tax regulation. The carbon tax is imposed by policy makers to encourage the cold chain to reduce its emissions whereas, the green technology investment is a voluntary measure taken by the cold chain to reduce its carbon emissions. Based on the results, a carbon tax regulation is about 3% more effective than a green technology investment in terms of profit maximisation potential. Moreover, when it comes to investing in green technologies, there is an optimal investment amount above which increasing the investment results in decreased profits and increased emissions. Other avenues that the cold chain can explore in effort to improve profitability include increasing the potential market size, displaying higher volumes of stocks, using larger capacity transportation trucks and filling the trucks to capacity.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"13 ","pages":"Article 100173"},"PeriodicalIF":6.9,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427912","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":"Sustainable supply chain design using a multi-objective linear optimization approach for solid bulk products","authors":"Hugo Estevan Mancini Cia ,&nbsp;Claudio B. Cunha","doi":"10.1016/j.clscn.2024.100170","DOIUrl":"10.1016/j.clscn.2024.100170","url":null,"abstract":"<div><div>This paper proposes a multi-objective optimization model for designing a sustainable logistics system that determines the ideal logistic flow of an ultrafine mineral residue product, tailings, from Brucutu/MG to multiple destinations over a capable multimodal system. These tailings are extracted from iron ore and can be used as a partial substitute for raw materials in construction materials. This substitution can help avoid dangerous dams of iron ore tailings and save natural resources and greenhouse gas emissions in the civil construction chain. However, the distribution incurs logistical costs and resulting socio-environmental impacts. Therefore, logistics plays a fundamental role in making this substitution economically viable. The proposed model aims to maximize total profit while minimizing negative socio-environmental impacts and maximizing the positives. The resulting ideal multimodal logistic system is obtained based on sustainable pillars, demonstrating that a small decrease in profits can yield significant reductions in negative impacts and increases in positive externalities.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"13 ","pages":"Article 100170"},"PeriodicalIF":6.9,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442025","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":"Space, but not rocket science: A framework for capacity utilization in physical distribution","authors":"Noor Faizawati Badarudin,&nbsp;Daniel Hellström,&nbsp;Henrik Pålsson","doi":"10.1016/j.clscn.2024.100171","DOIUrl":"10.1016/j.clscn.2024.100171","url":null,"abstract":"<div><div>High capacity utilization of space in physical distribution, such as high fill rates of vehicles, pallets, and packaging, is essential to decarbonize supply chains. This study provides an integrated view of the extant literature on capacity utilization of space in physical distribution, which is fragmented and multidisciplinary. A systematic literature review was conducted on 212 peer-reviewed scientific publications. The paper first provides a content analysis to define six research streams on the subject. Then, using systems theory, thematic analyses identify, categorize, and consolidate key elements of capacity utilization of space into a conceptual framework. The framework defines both the root causes of and measurements used in practice. The main components include packaging-, transportation-, and logistics-related factors, all of which influence capacity utilization of space in physical distribution and its outcomes. The framework enhances researchers’ understanding of capacity utilization of space in physical distribution and serves as a guideline for practitioners in addressing this challenge. Based on the findings, we also present avenues for future research.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"13 ","pages":"Article 100171"},"PeriodicalIF":6.9,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319717","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":"Barriers and enablers: How logistics companies could tackle the transition to electrified road freight transport","authors":"Henrik Gillström","doi":"10.1016/j.clscn.2024.100172","DOIUrl":"10.1016/j.clscn.2024.100172","url":null,"abstract":"<div><p>Electrifying road freight transport can heavily reduce the sector’s climate impact; however, there exist many uncertainties for making a large-scale transition, especially for logistics companies. In response, the purpose of this article is to identify and describe barriers to transition, but also strategies for how the barriers can be managed. To address the purpose, an interview study was carried out together with two complementary workshops to capture the views of relevant actors. Barriers to electrification are clustered into four separate areas: practical and technological barriers, financial barriers, institutional barriers, and social and cultural barriers. Low cost and high logistics performance are viewed as logistics companies’ competitive advantages, but they are expected to be challenged when making the transition. The current structure of the transport chain also further complicates things: it is transaction-based and risks and benefits can occur in its different parts. This is an issue, since the actor that is forced to take risks is not always the actor that benefits the most. One way to manage this is for actors to form more long-term commitments through collaborations. Moreover, it can be advantageous to start electrifying subsystems that can be described as ‘closed’ and ‘static’, i.e. predictable and easy to control, such as transport between terminals. At the other end of the spectrum, subsystems that are ‘open’ and ‘dynamic’ are the ones that are most difficult to electrify.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"13 ","pages":"Article 100172"},"PeriodicalIF":6.9,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000349/pdfft?md5=a2528af48a80638b5aecbcd5d02945da&pid=1-s2.0-S2772390924000349-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271506","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 closed-loop supply chain inventory model with stochastic demand, exchange rate, green investment, and carbon tax","authors":"Wakhid Ahmad Jauhari ,&nbsp;Devina Nur Affifah ,&nbsp;Pringgo Widyo Laksono ,&nbsp;Dana Marsetiya Utama","doi":"10.1016/j.clscn.2024.100168","DOIUrl":"10.1016/j.clscn.2024.100168","url":null,"abstract":"<div><p>In this paper, a mathematical inventory model for a closed-loop supply chain consisting of a single manufacturer and a single retailer is investigated under a stochastic environment and imperfect production. The manufacturer adopts a remanufacturing policy to recover returned products from the market. The model takes into account exchange rate disparities because the supply chain’s participants are in separate countries. The model also considers carbon emissions, which are expected to be produced from storage, transportation, and production. A carbon policy, namely carbon tax, is implemented to manage the overall emissions resulting from the supply chain. To cope with carbon restrictions, the manufacturer has an opportunity to invest in green technologies. The objective of the study is to find optimal shipment quantity, number of deliveries, safety factor, and green investment such that the joint total cost is minimized. An iterative procedure is suggested to solve the proposed problem, and a numerical example is presented for model validation. The findings imply that variations in the production rate and carbon tax have a significant influence on the model’s performance. Aside from that, the results reveal that uncertainty in the exchange rate and production flaws are important factors that must be considered by managers in making inventory decisions, especially those related to the number of deliveries, frequency of deliveries, and the amount of money invested in green technology. Finally, a sensitivity analysis is provided to explain the behavior of the model.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"13 ","pages":"Article 100168"},"PeriodicalIF":6.9,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000301/pdfft?md5=6d3bc63529fc9225c91dfa5b58f344f3&pid=1-s2.0-S2772390924000301-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232851","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":"Revolutionizing RPAS logistics and reducing CO2 emissions with advanced RPAS technology for delivery systems","authors":"Armin Mahmoodi ,&nbsp;Leila Hashemi ,&nbsp;Jeremy Laliberte ,&nbsp;Richard C. Millar ,&nbsp;Robert Walter Meyer","doi":"10.1016/j.clscn.2024.100166","DOIUrl":"10.1016/j.clscn.2024.100166","url":null,"abstract":"<div><p>To manage remotely piloted aircraft system (RPAS) networks effectively, this research presents a multi-objective location-routing optimization model. This model integrates time window constraints, concurrent pick-up and delivery demands, and rechargeable battery functionality, and also introduces a standardized framework to clarify the RPAS CO2 emission model. These integrations significantly decrease battery consumption in Remotely Piloted Aircraft Systems (RPAS) and lower transportation costs, while also optimizing delivery times, reducing operational risks, and minimizing CO2 emissions. The model’s enhancement for optimizing delivery schedules takes into account uncertain traffic conditions, thus improving accuracy in dynamic environments and further contributing to environmental sustainability. Risk assessment employs the Specific Operations Risk Assessment (SORA) standard, adding a third objective function. This combination of the model, further enhance the efficiency and sustainability of RPAS operations, by optimizing delivery schedules, reducing CO2 emissions and battery consumption, and improving accuracy under dynamic conditions. Also, it make RPAS logistics more practical and effective in real-world applications. As result, the NSGA-II algorithm achieves significant reductions across all objectives: 33.3 % in cost, 6.48 % in time, 33.3 % in risk, and 35.7 % in battery usage within 250 generations. The use of the NSGA-II meta-heuristic method for validation enhances the credibility and practicality of the model. The optimization model’s performance over 250 generations shows rapid initial improvements in cost, time, risk, and battery usage, followed by stabilization, indicating efficient convergence and effective evolutionary computation. Also the findings show that with a CO2 emission rate of 3.773 × 10⁴ kg of CO₂ per Wh, highlighting the model’s efficiency and effectiveness.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"12 ","pages":"Article 100166"},"PeriodicalIF":6.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000283/pdfft?md5=a6c710631c6f820538e73e9252667729&pid=1-s2.0-S2772390924000283-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142098762","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":"Sustainable truck platooning operations in maritime shipping: A data-driven approach","authors":"Zhaojing Yang ,&nbsp;Min Xu ,&nbsp;Xuecheng Tian","doi":"10.1016/j.clscn.2024.100167","DOIUrl":"10.1016/j.clscn.2024.100167","url":null,"abstract":"<div><p>In liner shipping, stakeholders are increasingly committed to adopting autonomous and environmentally friendly transportation solutions, especially for truck operations managing container transfers. Beyond reducing labor costs, truck platooning technology—which enables autonomous trucks to operate in close formations, thereby significantly decreasing fuel consumption—promises to revolutionize fleets involved in maritime container transport. However, the potential of these benefits hinges on the process of developing and implementing optimization plans that address the specific challenges of container logistics, particularly in integrating truck platooning plans. In response to this need, this study extends the traditional instant-dispatch strategy by proposing a novel, data-driven dispatch strategy. We develop algorithms for both models and conduct extensive experiments focusing on truck operations for sea freight containers. Our findings reveal significant advantages of the data-driven dispatch strategy: it substantially reduces the total costs and fuel consumption associated with truck deliveries compared to the instant-dispatch strategy.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"12 ","pages":"Article 100167"},"PeriodicalIF":6.9,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000295/pdfft?md5=159bba21d323dfb673a0ed3a71e7cd1a&pid=1-s2.0-S2772390924000295-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142075809","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":"Navigating barriers to reverse logistics adoption in circular economy: An integrated approach for sustainable development","authors":"Harshad Sonar ,&nbsp;Bishal Dey Sarkar ,&nbsp;Prasad Joshi ,&nbsp;Nikhil Ghag ,&nbsp;Vardhan Choubey ,&nbsp;Sandeep Jagtap","doi":"10.1016/j.clscn.2024.100165","DOIUrl":"10.1016/j.clscn.2024.100165","url":null,"abstract":"<div><p>Achievement of sustainability goals is an epic task for developing economies that still strive to fulfil their basic needs. The availability of limited resources in the developing world vis-à-vis the ever-increasing demand poses further challenges to developing economies willing to transition into circular economies. Reverse logistics (RL) can facilitate this transition towards a circular economy (CE) by maximising resource utilisation and minimising waste, contributing to sustainability goals. This paper contributes to emerging literature by analysing the development and comprehensive potential of reverse logistics as a sustainability tool. It explores the significant barriers to the adoption of reverse logistics towards a circular economy, considering long-term sustainability. In the first phase, thirteen barriers have been identified from the past academic literature. Three barriers with a defuzzification number less than the threshold limit are excluded, and the final ten barriers are then prioritised using the decision-making trial and evaluation laboratory (DEMATEL) method. The findings suggest that a lack of strategic plans for returns is crucial for RL adoption towards a circular economy, followed by a lack of visibility for recycling/reuse. Organisations can increase customer satisfaction, promote environmental sustainability, and gain a competitive edge in the market by creating a strategic plan for reverse logistics. Organisations may lower costs and contribute to a more sustainable and ecologically responsible supply chain by improving visibility across the reverse logistics process. The results serve as a framework for decision-making in RL towards sustainable development. Managers and policymakers can formulate more robust and realistic decisions that align with “maximising profits,” “saving the planet,” “social concerns,” and, most importantly, “consumer concerns” in the circular economy ecosystem. Several implications are derived, leading to increased competitiveness and resilient business strategies. The novelty of this work lies in the identification of barriers to reverse logistics adoption towards a circular economy using an integrated fuzzy Delphi-DEMATEL approach, considering long-term sustainability. This approach is studied for the first time in a developing economy context, proposing social, economic, and environmental effects and actions to be taken by organisations for sustainable development.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"12 ","pages":"Article 100165"},"PeriodicalIF":6.9,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000271/pdfft?md5=22475250f618ee25167d95172823026b&pid=1-s2.0-S2772390924000271-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142011601","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 practical vehicle routing problem in small and medium cities for fuel consumption minimization","authors":"Yong-Jin Pak,&nbsp;Kyong-Ho Mun","doi":"10.1016/j.clscn.2024.100164","DOIUrl":"10.1016/j.clscn.2024.100164","url":null,"abstract":"<div><p>Today, reducing fossil fuel consumption in the transport sector is one of the important requirements to preserve the ecological environment. In this paper, we investigated a logistics problem in small and medium cities. We proposes the time-dependent vehicle routing problem model in small and medium cities considering heterogeneous fleets, time windows, multi-trip, time dependency, and road network. We conducted a numerical analysis on fuel consumption minimizing path selection between two customer nodes and found that the path selection is independent of the payload in most cases. The model is formulated as a mathematical integer linear programming model, and small problems are solved using a commercial optimization solver. For large-scale instances, we proposed a heuristic algorithm based on the variable neighborhood search and evaluated its performance. The proposed algorithm can decrease fuel consumption by 25 % compared to manual routing and scheduling. Furthermore, for provide useful managerial insights, sensitivity analyses were performed considering different vehicle capacities.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"12 ","pages":"Article 100164"},"PeriodicalIF":6.9,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277239092400026X/pdfft?md5=f3748c80ec95ff4c1defc5d7eaae3e3d&pid=1-s2.0-S277239092400026X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840505","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 integrated planning approach for perishable goods with stochastic lifespan: Production, inventory, and routing","authors":"Mansoure Komijani,&nbsp;Mohsen Sheikh Sajadieh","doi":"10.1016/j.clscn.2024.100163","DOIUrl":"https://doi.org/10.1016/j.clscn.2024.100163","url":null,"abstract":"<div><p>This paper focuses on addressing the crucial challenges posed by the uncertainty surrounding perishable goods within the supply chain. With staggering socioeconomic costs and significant environmental implications, effective management of perishable goods emerges as a critical imperative. Globally, the annual loss of approximately 14% of food, amounting to a staggering USD 1 trillion, highlights the urgency of the issue. However, Prevailing classification methods for perishable products oversimplify their complexity by dividing them into fixed or variable lifespans, neglecting the random lifespans endured due to fluctuating storage conditions, blurring traditional boundaries between fixed and variable classifications. In response to these pressing challenges, the research proposes a novel approach: the development of a nonlinear mixed-integer programming model for a green closed-loop supply chain. This innovative model seamlessly integrates production, inventory, and routing decisions for both main and secondary products of a manufacturer. Moreover, it optimizes order splitting and transportation modes to efficiently convert perished items into raw materials under conditions of uncertainty. Central to the approach is the adoption of a scenario-based methodology to model uncertainties, particularly focusing on the variability in the lifespan of perishable products. This approach allows for a more nuanced understanding of the complex dynamics inherent in managing perishable goods within the supply chain. To solve the proposed model, a novel hybrid algorithm is introduced: the Particle Swarm Optimization (PSO) and Simulated Annealing (SA) algorithm, or PSOSA, ensuring robust optimization under uncertainty and enhancing decision-making within the perishable goods supply chain. The research findings underscore the inadequacy of prevailing assumptions regarding the fixed lifespan of perishable products, commonly observed in the literature. By accounting for uncertainty in perishable goods’ lifespan, a more accurate representation of total producer costs is achieved, highlighting the misleading reduction of 25% observed when neglecting such uncertainty.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"12 ","pages":"Article 100163"},"PeriodicalIF":6.9,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390924000258/pdfft?md5=f5e0819f9aace714a99819acac88a877&pid=1-s2.0-S2772390924000258-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141542922","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}