Multi-Criteria Decision Making (MCDM), Distribution channels, Full Consistency Method (FUCOM), Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS)

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.

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.

In the pivotal task of selecting an assault boat conducive for military operations, especially amidst the challenges posed by water obstacles, the utilisation of Multi-Criteria Decision-Making (MCDM) methods surfaces as vital. In this investigation, a meticulous application of the DIBR II (Defining Interrelationships Between Ranked criteria II) - BM (Bonfferoni Mean) – CoCoSo (COmbined COmpromise SOlution) multi-criteria decision-making model is performed. Initially, the weight coefficients of the criteria were determined via the DIBR II method, with expert opinions being cohesively aggregated using BM operators. Subsequently, the CoCoSo method was employed to discern the optimal alternative among various assault boats. A comprehensive analysis, entailing the examination of the sensitivity of the output results to alterations in the weight coefficients of the criteria, was conducted post-final ranking of alternatives. Noteworthy is the finding that negligible deviations in defining the weight coefficients by experts do not impose a significant impact on the ultimate selection of the optimal alternative. Furthermore, a comparative analysis alongside other MCDM methods corroborated not only the efficacy but also the superiority of the implemented model. The insights derived underscore the practical applicability, stability, and accuracy of the proposed model in choosing assault boats for military operations. This exploration fortifies the decision-making process in military contexts related to overcoming water obstacles and portends potential applicability in domains necessitating intricate multi-criteria decision-making.

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.