Logistic Risk Research Articles

SUPPLY CHAIN RISK MANAGEMENT: STRATEGIC SOLUTIONS FOR REDUCING TRANSPORTATION AND LOGISTICS RISKS

This study investigates strategic approaches to mitigating risks in transportation and logistics within global supply chains, focusing on the integration of advanced technologies, flexibility, collaboration, and sustainability. By employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the study systematically reviews 37 key articles to provide a comprehensive understanding of modern risk management practices. The findings reveal the increasing reliance on technologies such as predictive analytics, the Internet of Things (IoT), and blockchain for enhancing visibility, monitoring, and decision-making. Flexibility in logistics networks, including alternative sourcing and diversified transportation routes, emerged as crucial for mitigating disruptions, while collaboration among supply chain partners, particularly through real-time information sharing, significantly reduces risk exposure. Additionally, the study highlights the growing integration of sustainability into risk management, addressing climate change and environmental risks. This research underscores the need for proactive, adaptable, and sustainable risk management strategies to maintain supply chain resilience in the face of evolving global challenges.

Spatial Dynamics of Logistics Risk Management in Saudi Arabia: Using Spatial Panel Model Analysis

Spatial Dynamics of Logistics Risk Management in Saudi Arabia: Using Spatial Panel Model Analysis

PDAC-SL: A PUF-enabled drone access control technique for smart logistics

The conventional logistics’ paradigm is being replaced with smarter ways of supply chain management to readily serve the customers with quick modes of delivery in affordable operational costs. The weak infrastructure in rural terrain and congested roads in urban cities act as a big impediment in the successful accomplishment of last mile delivery down the lane across the complete chain of logistics. The traditional logistics has been evolved and improved in many respects, the last mile delivery is still plagued by security and privacy risks in logistics. The use of drones for package deliveries may offer promising gains in terms of efficiency. Nonetheless, drones undergo security and privacy risks besides physical threats for being deployed in public places communicating on open channels. Thus, more efforts are needed to secure the communication of inducted drones in delivery assignments. We propose a novel PUF-enabled drone access control mechanism PDAC-SL for smart logistics. By the careful employment of symmetric crypto-primitives, the contributed protocol not only supports low end devices but stands resistant to physical drone and other known threats besides preserving anonymity and untraceability features. The RoR model-based formal security analysis and performance analysis demonstrate distinct security properties and applicability of the PDAC-SL.

METHODOLOGICAL APPROACH TO THE ASSESSMENT OF INTERNATIONAL LOGISTICS MANAGEMENT IN RECREATIONAL ENTERPRISES: THE IMPACT OF RISKS ON FINANCIAL SECURITY

In the article, we present a methodological approach to evaluating international logistics management in the context of ensuring financial security through the development of an appropriate model for assessing indicators and risks that influence it. The research focuses on enterprises in the recreational sector. Structural-logical analysis methods were applied for modelling and graphical methods for their visualization. The fundamental method was the technique of evaluation using fuzzy sets. In this context, the MATLAB system served as the basis for more effective modelling. The article demonstrates that the evaluation of international management begins with the analysis of key performance indicators and risks. As a result of the research, a methodological approach to evaluating the effectiveness of international logistics management in the recreational sphere was formed. The main goal of such management is efficient planning and execution of logistics operations, which ensure continuity and high quality of recreational services at an international level, cost optimization, and increased customer satisfaction. However, to achieve this, it is necessary to properly assess risks and key indicators in the context of ensuring an adequate level of financial security. The proposed approach to evaluation focuses on identifying logistics risks, providing a comprehensive understanding of the problems and opportunities in the context of enhancing financial security. Looking ahead, it is necessary to more closely consider the possibility of practical application for specifically selected enterprises in the recreational sphere and to evaluate not only risks but also threats to financial security.

Logistics transformation on grain and oilseeds markets during the war in Ukraine: Marketing approaches and strategies

The Russian military invasion has caused a collapse in food supplies from Ukraine to world markets. The transformation of Ukrainian export logistics has been carried out under critical conditions and extremely limited deadlines. This article evaluated the transformations in logistics in the grain and oilseeds markets due to the war, discussed the impact of international agreements on export and logistics supply chains, and proposed marketing strategies for the trade of grain, oilseeds, and related products during wartime. The authors employed various general scientific and special methods and approaches, including a systematic approach, abstract-logical and graphic methods, retrospective and comparative analysis, correlation-regression analysis, and forecasting methods. A periodisation of the export logistical transformation due to the war was used. It included the following stages: the collapse of logistics; the growth of exports due to the impact of international agreements; and the operation of an alternative Ukrainian maritime corridor with the support of international partners. The significant impact of production and sales transformations caused by the war on the growth of wheat export logistics costs for various supply bases was demonstrated. The authors concluded that the export logistics risks were primarily mitigated by low grain and oilseed prices for agricultural producers. An assessment of the grain, oil crops, and processing products export market in Ukraine was also provided. The development of effective marketing strategies was highlighted. The practical value of the study lies in the use of the research results for developing marketing strategies for enterprises and European cooperation development projects in the agrarian sector

System model of risks and trees of alternative solutions for improving the logistics chain at a manufacturing enterprise

The subject of this article is the decision-making processes for improving the elements of the supply chain of a manufacturing enterprise under conditions of uncertainty and risks. The purpose of the research is to reduce the time and cost of in supply and distribution of products of manufacturing enterprises by considering possible risks through making rational management decisions. The article addresses the following tasks: examination of the characteristics of supply chain elements; investigation of the main problems of supply and distribution management and identification of ways to solve them; development of a systemic model of logistic risks for a manufacturing enterprise; and formation of decision trees for alternative decisions in strategic supply chain management at manufacturing enterprises. The methods applied include a systems approach, structural decomposition methods, a risk-oriented approach. The following results were obtained: features and problems of supply chain elements such as supply, production, storage, and distribution were examined and identified; main supply chain management tasks were investigated and solutions identified; problems in warehouse management were pinpointed; internal and external supply risks were identified; a systemic model of logistic risks for a manufacturing enterprise was formed, which main components are logistic problems, partial risks, their consequences, and possible management decisions to mitigate risks; decision trees were built for problems of raw material supply instability and transportation bottlenecks and delays; an alternative decision diagram was constructed for an illustrative example. Conclusions: To overcome the problem of raw material supply instability, it is recommended to develop diversification of supply sources, stock reservation, and the use of alternative transport routes. Building alternative decision trees in strategic management is an effective tool for making rational decisions by manufacturing enterprises in complex conditions of uncertainty and risks. They help to analyze alternatives and their consequences to choose a path to optimize the supply chain.

Managing logistics risks in pharmaceutical supply chain: a 4PL perspective

Supply chain risks and vulnerabilities have been growing recently due to the global, interconnected, and complex networks. The Pharmaceutical Supply Chain (PSC), as a critical national asset, requires increased attention to mitigate the severe consequences of global events. With various risks impacting both the firm’s performance and the lives of patients, effective risk management is paramount for the PSC. This empirical study focuses on the UK-based Fourth-Party Logistics (4PL) provider, which manages pharmaceutical manufacturers’ logistics operations. The 4PL provider’s past experiences with unexpected risky events have influenced its performance. This study aims to explore inherent logistics risks, evaluate them, and recommend mitigation strategies. An integrated approach considering probability, impact and manageability parameters is proposed for risk assessment. In identifying 11 risks from the 4PL perspective, structured interviews are used to gather risk information. The probability of risk occurrence, severity of impact, and manageability are quantified. The delivery delay should be given priority in the follow-up risk management process, while counterfeiting has the least priority. Finally, three resilience strategies named improving flexibility, redundancy, and creating a risk culture are proposed for the 4PL case company. The study offers multiple theoretical and managerial implications based on its findings.

Adaptive dynamic fire danger evaluation of logistics warehouses with fusion of evidential reasoning and smart optimization

Considering the background that the current fire risk assessment methods often rely on subjective assessments based on professional knowledge and experience, they are usually limited to the special fire scene. Given the lack of effective tools for assessing fire risks in logistics warehouses across varying scenes, this paper aims to propose a multi-source data-driven, adaptive dynamic fire danger evaluation method. The method is established based on the fusion strategy of evidential reasoning and artificial fish swarm algorithm. According to the method, rules of danger evaluation levels related to each attribute of fire factors can be generated automatically without necessary of professional knowledges and experiences. The lightweight multi-source data at this moment can be fused to evaluate current fire danger level directly, which does not require training on extensive datasets in advance. Finally, multi-source data including temperature and CO concentration in two fire scenes of one logistics warehouse at different times are utilized to support the ability of the method. The results show that the estimated fire source location according to the center of domain with the evaluated highest danger level matches well with the real fire source location. In conclusion, the main contribution of the research is that the reasonable dynamic danger level of the logistics warehouse fire with time variation can be evaluated automatically. The method has an excellent generality, which is not limited to the specific fire scene. The danger zone of the logistics warehouse under sudden fires can be determined adaptively, which can support the fire prevention and fire safety countermeasures of logistics warehouses.

Efficient Management and Mitigation of Logistical Risks at Chennai Port’s Logistic Service Provider

This project explores the efficient management and mitigation of logistical risks by logistic service providers operating within the bustling environment of Chennai Port. The port, situated on the eastern coast of India, serves as a pivotal gateway for trade, handling a diverse array of cargo and accommodating a significant portion of the country's maritime activities. Given the dynamic nature of port operations and the multitude of risks inherent in logistics, understanding how logistic service providers navigate these challenges is essential for ensuring smooth and reliable supply chain operations. The study begins by identifying the diverse range of risks prevalent in the logistics landscape of Chennai port, encompassing operational, financial, regulatory, and environmental dimensions. Logistic service providers face challenges such as congestion, delays, fluctuating market conditions, compliance issues, and natural disasters, all of which can disrupt supply chain activities and incur substantial costs. Keywords: Logistic Services, Supply Chain Efficiency, Risk Management Practices, Real time Practices,

АНАЛИЗ ЛОГИСТИЧЕСКИХ РИСКОВ В УСЛОВИЯХ ПЕРЕОРИЕНТАЦИИ ГРУЗОПОТОКОВ В ВОСТОЧНОМ НАПРАВЛЕНИИ

The Russian market for logistics services is undergoing significant changes. In the context of political pressure from a number of foreign countries and the imposition of a large number of sanctions against the Russian Federation, as well as taking into account the differences in the needs of individual regions and the characteristics of foreign trade relations, there is a sharp reorientation of cargo flows in the eastern direction. Such dramatic changes in supply chains occur in parallel with a significant increase in logistics risks, which raises the issue of their timely and comprehensive analysis. Taking into account the peculiarities of the geographical location of the Russian Federation, railway transport, along with road transport, plays a vital role in organizing the transportation process of various types of goods. Therefore, the analysis of open data from official sources on the transportation of container cargo through the network of JSC Russian Railways was chosen as the methodological basis of the paper. Based on data from the container shipping market, an analysis of existing logistics risks, as well as the factors that provoke their emergence, is provided. The key risks in logistics include transport, warehouse, procurement and distribution logistics risks, and uncertainty, chance and resistance are identified as the main factors of their occurrence. The paper outlines the importance of minimizing logistics risks when organizing the transportation process in the eastern direction of Russia and provides a number of ways to reduce the likelihood of risk occurrence. One of these methods is risk dissipation. The implementation of this method is shown by the example of the implementation of an organizational group of activities at the Eastern training ground, which allows reducing the load on the railway and port infrastructure. As a result, the likelihood of risk occurring in logistics processes is reduced.

Construction of a Predictive Model for Diabetes Mellitus Type 2 in Middle-Aged and Elderly Populations Based on the Medical Checkup Data of National Basic Public Health Service

To establish a universally applicable logistic risk prediction model for diabetes mellitus type 2 (T2DM) in the middle-aged and elderly populations based on the results of a Meta-analysis, and to validate and confirm the efficacy of the model using the follow-up data of medical check-ups of National Basic Public Health Service. Cohort studies evaluating T2DM risks were identified in Chinese and English databases. The logistic model utilized Meta-combined effect values such as the odds ratio (OR) to derive β, the partial regression coefficient, of the logistic model. The Meta-combined incidence rate of T2DM was used to obtain the parameter α of the logistic model. Validation of the predictive performance of the model was conducted with the follow-up data of medical checkups of National Basic Public Health Service. The follow-up data came from a community health center in Chengdu and were collected between 2017 and 2022 from 7602 individuals who did not have T2DM at their baseline medical checkups done at the community health center. This community health center was located in an urban-rural fringe area with a large population of middle-aged and elderly people. A total of 40 cohort studies were included and 10 items covered in the medical checkups of National Basic Public Health Service were identified in the Meta-analysis as statistically significant risk factors for T2DM, including age, central obesity, smoking, physical inactivity, impaired fasting glucose, a reduced level of high-density lipoprotein cholesterol (HDL-C), hypertension, body mass index (BMI), triglyceride glucose (TYG) index, and a family history of diabetes, with the OR values and 95% confidence interval (CI) being 1.04 (1.03, 1.05), 1.55 (1.29, 1.88), 1.36 (1.11, 1.66), 1.26 (1.07, 1.49), 3.93 (2.94, 5.24), 1.14 (1.06, 1.23), 1.47 (1.34, 1.61), 1.11 (1.05, 1.18), 2.15 (1.75, 2.62), and 1.66 (1.55, 1.78), respectively, and the combined β values being 0.039, 0.438, 0.307, 0.231, 1.369, 0.131, 0.385, 0.104, 0.765, and 0.507, respectively. A total of 37 studies reported the incidence rate, with the combined incidence being 0.08 (0.07, 0.09) and the parameter α being -2.442 for the logistic model. The logistic risk prediction model constructed based on Meta-analysis was externally validated with the data of 7602 individuals who had medical checkups and were followed up for at least once. External validation results showed that the predictive model had an area under curve (AUC) of 0.794 (0.771, 0.816), accuracy of 74.5%, sensitivity of 71.0%, and specificity of 74.7% in the 7602 individuals. The T2DM risk prediction model based on Meta-analysis has good predictive performance and can be used as a practical tool for T2DM risk prediction in middle-aged and elderly populations.

Research on Supply Chain Risk Prevention and Control of Medical Products Enterprises

This paper firstly analyzes the mode, development background and development status of the medical products supply chain, and finds that the medical products market shows an expanding trend, which requires the prevention and control of supply chain risks. Secondly, this paper identifies the risk factors existing in its current development, mainly supply risk, logistics risk, demand risk, information risk and cooperation risk, and analyzes the five types of risk in detail, points out the risk factors existing in each risk, and enumerates the impacts of each risk on each link of the medical products supply chain. Again, this paper combines the relevant risk factors to propose specific supply chain management countermeasures from three aspects, namely: using innovative digital supply chain models, optimizing internal supply chain processes, and improving the standardized management of medical products production. Finally, the whole paper is summarized and relevant conclusions are drawn, aiming to provide some references for giving full play to the role of medical products supply chain.

A STUDY ON LOGISTICS RISK EVALUATION INVOLVED IN PIGMENT INDUSTRY

In the current worldwide economy, logistics are essential to guaranteeing the smooth movement of commodities among different businesses. The pigment business, which is necessary for colouring a wide range of goods, including paints and cosmetics, has particular difficulties with logistical management. The objective of this research is to assess the logistical risks that are common in the pigment business and provide ways to reduce them. A mixed-methods approach is used in the research, integrating quantitative and qualitative analysis. In order to identify important risk variables in pigment logistics, qualitative data is gathered through surveys and interviews with stakeholders, logistics managers, and industry experts. These elements include supplier connections, inventory management, transportation, warehousing, and regulatory compliance. Moreover, quantitative analysis evaluates the frequency and seriousness of hazards revealed by statistical techniques. This entails the creation of a methodology for evaluating logistics risk that is specific to the pigment sector and incorporates variables including regulatory changes, supply chain interruptions, demand volatility, and shipping delays. The report suggests a thorough risk-reduction plan for the logistics of the pigment sector based on its results. This plan includes preventative actions including expanding the variety of transportation routes, implementing sophisticated inventory control systems, creating backup plans, and improving supplier cooperation. This study's consequences go beyond the pigment business; it provides insights that may be applied to other areas of logistics management. Through the investigation of the particular logistical issues encountered by pigment producers, this study enhances the resilience, efficiency, and overall sustainability of the supply chain. Keywords: Supply Chain Management, Risk Mitigation Techniques, Quantitative Analysis, Pigment Industry, Logistics Risk Assessment.

Navigating Uncertainties: A Holistic Framework for Identifying and Assessing Risks in Third-Party Logistics (3PL)

To review the extant literature on 3PL risk management (SCRM, including risk identification, assessment, treatment, and monitoring), developing a comprehensive definition and conceptual framework; to evaluate prior theory use; and to identify future research directions. Additionally, our framework emphasizes the importance of aligning performance metrics with risk objectives, facilitating ongoing monitoring and evaluation of 3PL partnerships. By establishing clear performance benchmarks and feedback mechanisms, organizations can promptly identify emerging risks and implement corrective actions as necessary. Methodology: A systematic literature review of couple of articles (published 2000-2016) based on descriptive, thematic, and content analysis. Drawing from extensive literature review and industry best practices, our framework integrates multiple dimensions of risk identification and evaluation into a cohesive methodology. We propose a structured approach that encompasses both qualitative and quantitative techniques, enabling organizations to comprehensively assess risks across various stages of the 3PL relationship lifecycle. Through the application of our holistic framework, organizations can enhance their ability to navigate uncertainties in 3PL relationships, fostering resilience and competitiveness in today's dynamic business environment. Findings: There has been a considerable focus on identifying risk types and proposing risk mitigation strategies. Research has emphasised organisational responses to 3PL risks. Research implications: A broad, contemporary understanding of 3PL risk management is provided; leading to a conceptual framework. The research agenda guides future work towards maturation of the discipline. Practical implications: Managers are encouraged to adopt a holistic approach to risk management. Guidance is provided on how to select appropriate risk treatment actions according to the probability and impact of a risk. Key components of our framework include risk categorization, stakeholder engagement, scenario analysis, and performance metrics alignment. By systematically categorizing risks according to their nature and impact, organizations can prioritize mitigation efforts and allocate resources effectively. Stakeholder engagement ensures that diverse perspectives are considered in the risk assessment process, enhancing its accuracy and relevance. Furthermore, scenario analysis allows for the exploration of potential future events and their implications on 3PL operations, enabling proactive risk management strategies. Keywords: 3PL, Risk management, Systematic literature review (SLR), theoretical approach

Research on Emergency Logistics Risk Analysis under Epidemic Based on HAZOP Technology

This study explores using HAZOP analysis to assess risks in emergency logistics during epidemics. It highlights the importance of various aspects like personnel training and material management in different stages (preparation, rescue, and recovery) of emergency logistics. The study identifies critical risks through HAZOP analysis and proposes countermeasures like improved training and optimized resource allocation to mitigate these risks and improve overall efficiency. This research provides valuable guidance for building more robust emergency logistics systems to better respond to future outbreaks.

The importance of technology and cold chain logistics in Vietnam's preservation of harvested seafood

Vietnam has been experiencing significant economic growth in recent years, making it an attractive destination for foreign investors. With globalization and the expansion of trade relationships, logistics management has become crucial for domestic and multinational companies operating in Vietnam. However, logistics operations in Vietnam are exposed to various risks, such as natural disasters, infrastructure issues, regulatory uncertainty, and human factors. Therefore, it is essential to manage logistics risk effectively to ensure the supply chain's resilience and the business's sustainability. This paper aims to provide a critical review of the risk management literature in logistics by analyzing the key concepts of supply chain risk, the principles of logistic risk management, types of logistics risks, and some ideas on solutions in risk management in the supply chain. Keywords: Supply chain, risk management, Vietnam

Combined simultaneous transsphenoidal and transcranial regimen improves surgical outcomes in complex giant pituitary adenomas: A longitudinal retrospective cohort study.

Surgical treatment of complex giant pituitary adenomas (GPAs) presents significant challenges. The efficacy and safety of combining transsphenoidal and transcranial approaches for these tumors remain controversial. In this largest cohort of patients with complex GPAs, we compared the surgical outcomes between those undergoing a combined regimen and a non-combined regimen. We also examined the differences in risks of complications, costs, and logistics between the two groups, which might offer valuable information for the appropriate management of these patients. This was a multicenter retrospective cohort study conducted at 13 neurosurgical centers. Consecutive patients who received a combined or non-combined regimen for complex GPAs were enrolled. The primary outcome was gross total resection, while secondary outcomes included complications, surgical duration, and relapse. A propensity score-based weighting method was used to account for differences between the groups. Out of 647 patients (298 [46.1%] women, mean age: 48.5 ± 14.0 years) with complex GPAs, 91 were in the combined group and 556 were in the non-combined group. Compared with the non-combined regimen, the combined regimen was associated with a higher probability of gross total resection (50.5% vs. 40.6%, odds ratio [OR]: 2.18, 95% confidence interval [CI]: 1.30-3.63, P = 0.003). The proportion of patients with life-threatening complications was lower in the combined group than in the non-combined group (4.4% vs. 11.2%, OR: 0.25, 95% CI: 0.08-0.78, P = 0.017). No marked differences were found between the groups in terms of other surgical or endocrine-related complications. However, the combined regimen exhibited a longer average surgery duration of 1.3 h (P < 0.001) and higher surgical costs of 22,000 CNY (approximate 3,000 USD, P = 0.022) compared with the non-combined approach. The combined regimen offered increased rates of total resection and decreased incidence of life-threatening complications, which might be recommended as the first-line choice for these patients.

Resilience, efficiency fluctuations, and regional heterogeneity in disaster: An empirical study on logistics

While resilience analysis can provide important insights into risk management strategies, research gaps exist in terms of logistics efficiency, regional economic environment, and spatial clustering patterns. Therefore, our study capitalizes on the dramatic variations in logistics activities among regions during COVID-19 to examine regional logistics resilience in the disaster and explore potential spatial clustering patterns. We measure regional logistics resilience through changes in performance outcomes, specifically efficiency fluctuation. To analyze spatial clustering patterns, (regional heterogeneity) presented by logistics efficiency, we propose a new multi-stage approach that integrates the data envelopment analysis with the K-medoids algorithm and analyzes data from the Chinese logistic industry. The results reveal that efficiency fluctuations exhibit distinct spatial distribution characteristics, with more pronounced negative fluctuations in areas of important logistics activities nodes and islands, and more widespread negative trends in coastal areas. Moreover, regions with high freight volumes and logistics specialization demonstrate a sustained high level and quality of logistics efficiency. Furthermore, consumption capacity and economic development appear to positively influence fluctuations in logistics efficiency. The findings hold implications for enhancing regional logistics resilience in the disaster and contribute valuable insights to regional logistics risk management.

Development of the Theory and Practice of Calculating the Cost of Logistics Services As an Element of Customs and Logistics Risk Management in International Supply Chains for Goods Containing Intellectual Property

In conditions of geopolitical instability, the introduction of a huge number of sanctions against our country, conducting foreign economic activity is becoming more and more difficult and expensive. One of the important stages in the international supply chain is customs logistics in terms of customs control, the passage of which is mostly assigned to the logistics operator (customs representative). Every second product today contains intellectual property, and customs authorities have a number of mechanisms to control this complex category of goods. The application by customs authorities of the customs control mechanisms provided for by the customs legislation of the EAEU affects the timing of the release of goods (suspension of the release of goods for 20 working days), as well as the final cost (accounting for license fees in the structure of the customs value of goods). The paper analyzes emerging customs and logistics risks in international supply chains of goods containing intellectual property. The key figure in the declaration of goods is, as a rule, the logistics operator, acting on behalf of and on behalf of the foreign trade participant. However, today the risks of a logistics operator are not taken into account when determining the cost of services for performing operations related to the customs declaration of goods containing intellectual property. The article structures emerging customs and logistics factors in international supply chains of goods containing intellectual property. For this purpose, based on the customs and logistics risks that arise for the logistics operator during the customs declaration of goods containing intellectual property, the consequences of the occurrence of the considered risks for him are determined. A methodology for calculating flexible tariffs for a logistics operator has been developed, including criteria for differentiating tariffs depending on external and internal factors, and correction factors have been proposed.

A Study on Credit Risk of Small and Medium-sized Logistics Enterprises Based on System Dynamics

The rapid development of small and medium-sized logistics enterprises has also revealed potential credit risk issues. Based on this, this paper constructs a system dynamics model to simulate the key factors affecting the credit risk of small and medium-sized logistics enterprises. Firstly, the paper analyzes the factors affecting the credit risk of small and medium-sized logistics enterprises from multiple aspects such as industry characteristics and sources of risk, and constructs an index system for these factors. Secondly, the paper uses the system dynamics method to build a mechanism model of credit risk for small and medium-sized logistics enterprises, and deeply analyzes the factors affecting the mechanism of these enterprises. Finally, through simulation analysis of examples, the paper identifies key risk factors and proposes effective control measures to improve the overall credit risk situation of small and medium-sized logistics enterprises.