Intermodal transportation, crucial for contemporary logistics, enhances supply chain efficiency through integrated multimodal coordination. Central to this ecosystem, intermodal terminals act as pivotal points for seamless mode transitions, significantly influencing cost reduction and environmental sustainability. This research delves into the complex dynamics of intermodal terminal governance, striving to discern the most effective models while establishing a robust evaluative framework. A meticulous examination of seven distinct governance models is conducted against nine criteria, encompassing aspects such as efficiency, cost-effectiveness, regulatory compliance, and socio-economic impact. Employing a novel hybrid Multiple Criteria Decision-Making (MCDM) model, which amalgamates the Best-Worst Method (BWM) and Comprehensive Distance-based Ranking (COBRA) within a grey analytical context, the study facilitates a nuanced, uncertainty-accommodating assessment. Findings highlight the Public-Private Partnership, Concession Agreement, and Cooperative Governance models as exemplary, underscoring the benefits of synergistic public-private cooperation and community engagement. The research contributes significantly by identifying key governance models, providing a comprehensive evaluation framework, and introducing the hybrid MCDM model as an instrumental tool for decision-making within the transportation sector. Structured into five sections, the analysis progresses from an extensive literature review to a detailed methodology of the hybrid model, followed by the presentation of evaluative results, a discussion on the broader implications, and a conclusion synthesizing the principal insights. This investigation offers vital contributions to academic discourse and practical decision-making, laying groundwork for future exploration in this vital field.
In the dynamic and unpredictable landscape of modern logistics, the capability to swiftly and effectively adapt to market and consumer fluctuations is imperative for service quality enhancement and competitive positioning. This research delves into the pivotal role of logistics flexibility as a mechanism for logistics firms, particularly those with a corporate identity, to navigate rapid market changes, customer demands, and service differentiation. The primary focus is the appraisal of logistical flexibility, utilizing the Interval-Valued Fermatean Fuzzy (IVFF) Stepwise Weight Assessment Ratio Analysis (SWARA) method to meticulously weigh identified criteria crucial for assessing this flexibility. The methodology's rigor lies in its comprehensive analysis and structured approach, which prioritizes criteria based on their relevance and impact. The findings underscore the paramount importance of 'Logistics Information Integration' as a critical factor in assessing logistics flexibility, highlighting its role in the seamless execution of logistics operations. Conversely, 'Asset Efficiency', while significant, ranks lower in the hierarchy of criteria, suggesting a lesser impact on overall logistics flexibility. These insights offer a strategic roadmap for logistics firms aiming to enhance their adaptive capabilities and provide a foundational framework for stakeholders and model developers seeking to optimize logistics operations. This study contributes to the logistics field by offering a nuanced understanding of flexibility parameters and their implications for service excellence and market differentiation.
In light of both domestic and international research on blockchain and supply chains, coupled with the blockchain development in the Hainan Free Trade Port of China, a supply chain model sensitive to demand and consumer behavior has been established. This study selects Hainan Free Trade Port and the established Hong Kong Free Trade Port for comparison. Integrating diverse tax policies of these ports, the research employs a Stackelberg game led by market pioneers to analyze fluctuations in relevant factors. The findings indicate that the incorporation of blockchain technology impacts the sales prices within supply chains. Furthermore, the utilization of blockchain significantly mitigates the influence of other variables on supply chain profits. Compared to supply chains without blockchain integration, those utilizing this technology establish substantial profit advantages.
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