Logistics Technology Research Articles

The Integration of Artificial Intelligence and Blockchain in Logistics and Facility Management: A Case Study on Sea Cargo Handling Services

The logistics and facility management industries are currently experiencing a paradigm shift driven by the rapid advancement of Artificial Intelligence (AI) and blockchain technology. These innovative technologies are poised to revolutionize various aspects of logistics operations, particularly in the context of sea cargo handling, where the demands for efficiency, security, and transparency are increasingly critical. As global trade continues to expand and the complexity of supply chains grows, the need for more advanced and reliable systems becomes ever more pressing. This research paper delves into the transformative potential of integrating AI and blockchain technologies within logistics and facility management, with a focused lens on sea cargo handling services. Sea cargo handling, a vital component of international trade, has traditionally relied on manual processes and centralized systems that often struggle with inefficiencies, delays, and security vulnerabilities. The integration of AI and blockchain offers a robust solution to these challenges by enhancing operational efficiency through automation and predictive analytics, while simultaneously ensuring the security and transparency of transactions through the decentralized and immutable nature of blockchain. AI's ability to process vast amounts of data in real-time allows for improved decision-making, predictive maintenance, and the optimization of resource allocation. Blockchain, on the other hand, provides a secure, tamper-proof ledger that ensures the authenticity and integrity of cargo movements, from origin to destination, reducing the risk of fraud and enhancing compliance with international regulations. This paper presents a comprehensive exploration of the integration of AI and blockchain in the logistics sector, specifically within the realm of sea cargo handling. The study begins with an extensive literature review that examines the current state of AI and blockchain technologies in logistics and facility management, highlighting both the potential benefits and the existing challenges. The review covers various applications of AI, such as machine learning algorithms for demand forecasting and route optimization, and explores how blockchain can be used to create transparent and secure supply chains. It also addresses the synergy between these technologies, proposing a combined approach that leverages the strengths of both AI and blockchain to create a more resilient and efficient logistics framework. Following the literature review, the paper outlines the methodologies employed to integrate AI and blockchain into sea cargo handling operations. This includes the development of AI models for optimizing cargo handling processes, predicting port congestion, and automating customs clearance procedures. The methodologies also cover the implementation of blockchain for tracking the provenance of goods, verifying transactions, and ensuring that all cargo movements are securely recorded and accessible to relevant stakeholders. The paper details the steps involved in deploying these technologies, from initial assessment and planning to the actual implementation and integration with existing systems.To provide a practical perspective, the paper includes a detailed case study of a major port that has successfully implemented AI and blockchain technologies in its sea cargo handling operations. This case study illustrates the tangible benefits of this integration, such as significant improvements in operational efficiency, enhanced security measures, and cost reductions. It also highlights the challenges encountered during the implementation process, such as the need for extensive training and the complexities of integrating new technologies with legacy systems. The case study serves as a valuable example for other ports and logistics companies considering similar technological upgrades, offering insights into the best practices and potential pitfalls.This research paper underscores the transformative impact of AI and blockchain on logistics and facility management, particularly in sea cargo handling services. By integrating these technologies, logistics operations can achieve higher levels of efficiency, security, and transparency, ultimately leading to more reliable and cost-effective supply chains. However, the paper also cautions that the successful implementation of these technologies requires careful planning, a clear understanding of the specific operational context, and a willingness to invest in the necessary infrastructure and training. As the logistics industry continues to evolve, the integration of AI and blockchain will likely become a standard practice, paving the way for a more advanced and secure global trade network.

Transformation of business systems and international logistics technologies under the influence of digitization trends

The scientific article refl ects the main results of a comprehensive researching of the process of transformation of business systems and international logistics technologies under the influence of digitalization trends, primarily artificial intelligence, in the context of the widespread introduction of Industry 4.0 conceptual approaches into economic, production and distribution cycles.In the context of the globalization of the economy and the rapid development of technology, key changes in the processes of managing integrated supply chains under the influence of digital technologies and intelligent systems are considered. The aspects discussed in this article, ranging from digital tools in warehouse management to the use of blockchain and artificial intelligence in international logistics, highlight the importance of innovation in this area. Modern technologies such as warehouse management systems, robotic technologies, blockchain and artificial intelligence show potential for improving the efficiency of logistics processes and optimizing costs.The scientific significance of this study lies in understanding these technological changes and their impact on international logistics structures. The emphasis in the work is on identifying the main trends affecting the efficiency and sustainability of logistics systems in the context of digitalization at the present stage of scientific and technological progress and informatization of society. In conditions of constant competition, the timely introduction of new technologies is one of the critical factors for the successful positioning of a company in the market.

Enhancing Business Competitiveness: Strategic Adaptation and Business Model Canvas Application in PT Maritim Maju

In this detailed analysis, we explore the strategic repositioning of PT Maritim Maju within the context of the global maritime industry’s ongoing transformation, influenced by technological advancements and economic shifts. This study meticulously applies the Business Model Canvas framework, incorporating Resource-Based View, VRIO, and SWOT analyses, to diagnose and propose necessary strategic enhancements for PT Maritim Maju. It underscores the imperative for the company to diversify its services beyond traditional maritime activities, suggesting an expansion into maritime consulting and logistics technology. Additionally, the research advocates for the integration of advanced technologies such as AI in fleet management, aiming to optimize route planning and implement predictive maintenance, thereby achieving cost efficiencies, enhanced service reliability, and superior customer satisfaction. Strategic partnerships are highlighted as crucial for leveraging technological innovation and expanding service capabilities. The study also recommends a reevaluation of marketing strategies, emphasizing the adoption of digital marketing techniques to better position PT Maritim Maju on the global stage, highlighting its commitment to safety, reliability, and customer service excellence. Furthermore, it stresses the importance of continuous staff development in leadership and maritime technology to foster a culture of innovation and strategic agility. Compliance with international regulations and a proactive risk management approach are advised to mitigate operational risks. This comprehensive strategic plan aims to guide PT Maritim Maju through the intricacies of the modern maritime landscape, capitalizing on new opportunities for growth and establishing a foundation for enduring competitiveness and resilience.

Research on the Construction of Intelligent Cold Chain Logistics System for Prepared Dishes Based on AI Technology

China's prepared vegetable industry has achieved certain development, and the prepared vegetable market is huge and the market space is large, but it still faces some challenges and problems. The food quality of prepared dishes needs to be guaranteed by high-quality cold chain logistics. However, the development level of cold chain logistics in China is relatively insufficient, and the corresponding development level of cold chain logistics of prepared dishes is of low quality, which restricts the development of prepared dishes industry to a certain extent. With the development of artificial intelligence, cloud computing, big data, Internet of Things and other technologies, digital and intelligent technologies are increasingly applied in logistics. The application of intelligent logistics technologies such as artificial intelligence technology to build smart cold chain logistics system is conducive to improving the level of cold chain logistics of prepared dishes, ensuring the quality of prepared dishes, promoting the upgrading of prepared dishes industry, and expanding the market of prepared dishes industry.

Third‐party logistics firm's technology investment and financing options in platform‐based supply chain with 4PL service

AbstractIn practice, capital‐constrained third‐party logistics (3PL) firms usually obtain bank financing (BF) to invest in logistics technology to enhance the consumer shopping experience. The emergence of financial innovation has prompted the adoption of alternative financing modes by 3PLs, including e‐commerce platform financing (EPF) and fourth‐party logistics financing (4PF). To clarify the differences among the three financing modes at the operational management level, we develop a Stackelberg game model to capture the strategic interactions between the 3PL and creditors. We examine a platform‐based supply chain where a manufacturer sells products through an e‐commerce platform to consumers, with the logistics services for the supply chain provided by the 3PL and fourth‐party logistics (4PL) firms. The analysis results reveal that the equilibrium interest rates under EPF and 4PF share a similar pattern regarding the logistics service cost coefficient, the commission rate, and the 4PL service fee. The difference is that under EPF (4PF), the logistics service level increases in the commission rate (4PL service fee) but decreases under the other financing strategy. Furthermore, the 3PL is inclined to invest in logistics technology only when the fixed investment cost is low, and these financing modes are complementary rather than alternative. The 3PL and manufacturer can benefit from 4PF (BF) when the logistics service cost coefficient is large and the market size is small (large); otherwise, EPF can enhance their profits. We also find that when the opportunity costs of capital are homogeneous, both the 4PL and the platform are consistently willing to act as financiers themselves. However, when considering heterogeneity in the opportunity costs of capital, they may be reluctant to provide financing. Each financing mode may achieve Pareto improvements under specific conditions. Finally, we also analyze the impact of technology R&D risks and endogenous 4PL service fee, yielding some valuable insights.

Fair and stable matching decision-making with multiple hesitant fuzzy elements

The two-sided matching (TSM) decision-making is an interdisciplinary research field encompassing management science, behavioral science, and computer science, which are widely applied in various industries and everyday life, generating significant economic and social value. However, in the decision-making process of real-world TSM, the complexity of the decision-making problem and environment lead to the preference information provided by the two-sided agents being ambiguous and uncertain. The purpose of this study is to develop a new fair and stable matching methodology to resolve the TSM problem with multiple hesitant fuzzy element (HFE) information. The decision-making process is as follows. First, the TSM problem with four kinds of HFEs is described. To solve this problem, the HFE value of each index is normalized and then is transformed into the closeness degree by using the bidirectional projection technology. Second, based on the closeness degree, the weight of each index is calculated by using the Critic method. Then, the agent satisfaction is obtained by aggregating the closeness and the weights. Next, a fair and stable TSM model to maximizing agent satisfactions under the constraints of one-to-one stable matching is constructed. The best TSM scheme can be obtained by solving the TSM model. Finally, an example of logistics technology cooperation is provided to verify the effectiveness and feasibility of the presented model and methodology. The proposed methodology develops a novel fuzzy information presentation tool and constructs a TSM model considering the fairness and stability, which is of great significance to investigate the TSM decision-making and the resolution of real-life TSM problems under the uncertain and fuzzy environments. One future research direction is to consider multiple psychological and behavioral factors of two-sided agents in TSM problems.

Research on Intelligent Logistics Application based on Blockchain Technology

With the rapid development of information technology, intelligent logistics has become the development trend of modern logistics industry. As an innovative technology, b aerznm nzn lockchain technology has the characteristics of decentralization, data tamperability and high security, which provides new opportunities for the development of intelligent logistics. This paper first introduces the basic principles and characteristics of blockchain technology, and then analyzes the application scenarios of blockchain technology in intelligent logistics, including logistics tracking, supply chain management and so on. Then, it discusses the key technologies of building intelligent logistics platform based on blockchain technology, such as consensus mechanism. Finally, the advantages and challenges of intelligent logistics application based on blockchain technology are summarized, and the future development trend is prospected.

«Green» logistics in the business of logistics transportation: prospects and features of the development of «green» logistics in business for Ukraine

The urgency of researching the directions of logistics transformation determines the growth of the social responsibility of business. This article examines the goals, tasks, and principles of ecological logistics and the factors of the concept of responsibility during the implementation of logistics operations. Now, significant results of applying new technologies and strategies in the activities of Ukrainian entrepreneurs, state institutions, and commercial and non-commercial organizations are being monitored. Today, logistics technologies reach a new level of organization and management, and innovative solutions, technologies, and strategies are used. This determines the high level of environmental protection. The business implements modern trends to preserve the environment. For example, factories and transport companies create their environmental plans. The majority of customers and companies prefer rail transport for international transportation. Thanks to this, the achievement of quantitative and qualitative goals of logistics activity is created. Through the cooperation of economic, social, and environmental components. This forms the image of «green logistics». The article considers the goals, tasks, and principles of «green» logistics, factors that contribute to the formation of the concept of general responsibility during logistics operations, and conditions of its implementation. It was determined that the possibility of achieving quantitative and qualitative goals of logistics activity is provided by synthesizing economic, social, and ecological components that form the outline of «green logistics»; the unity of the interaction of these components provides resource-saving technologies. The cooperation of these components creates conditions for the development of resource-saving technologies. Logistics has a significant impact on most components of the environment. For example, atmospheric air and water pollution, ozone layer destruction, etc. It has been studied that the impact of various vehicles on the environment has become an incentive for countries' governments to develop «green» technologies. It is important to note that state support is a significant factor in implementing ecological strategies and innovations for implementing approaches and methods of managing material, technical, production-economic, and transport-distribution operations. Keywords: logistics, «green» logistics, environment, logistics processes, «green» technologies.

The Influence of Block-Chain Technology in Chinese Smart Logistics

Block-chain technology is an advanced database mechanism that allows information to be shared transparently within an enterprise network. The scale of Chinese logistics market is developing rapidly, whether it is e-commerce express delivery, cold chain transportation, international trade logistics and other fields, it is developing rapidly. Through an overview of block-chain and smart logistics, this paper discusses the feasibility and advantages of using block-chain in smart logistics. Including block-chain technology and the decentralization of smart logistics transaction subjects, efficient transaction mechanism, and transaction process security to discuss the important role of block-chain in smart logistics. At the same time, it analyzes the practical application of block-chain in SF Express, and analyzes the integration and development of block-chain and smart logistics. And at the end, it puts forward suggestions and prospects for the development of block-chain in smart logistics in the future.

A Snowmelt Optimization Algorithm Applied to Green Low Carbon Logistics Pathways Optimization Problems

INTRODUCTION: Efficient and accurate optimization of green and low-carbon logistics paths, as one of the key technologies of green and low-carbon logistics, can not only promote the high-quality development of the economy, but also reduce the negative impacts of logistics on the environment and increase the cost of logistics delivery.
 OBJECTIVES: To address the problems of slow convergence and easy to fall into local optimization in the current performance prediction research on talent team building.
 METHODS: This paper proposes a snowmelt heuristic optimization algorithm to solve the green low-carbon logistics path optimization problem. Firstly, the objective function of green low-carbon logistics path optimization is designed by analyzing the optimization cost and conditional constraints of the green low-carbon logistics path optimization problem; then, a method based on intelligent optimization algorithm is proposed by designing the position-order array coding and fitness function, combined with the snow-melting optimization algorithm; finally, the validity and superiority of the proposed method are verified by simulation experiments.
 RESULTS: The results show that the proposed method not only improves the convergence speed but also increases the optimization fitness value.
 Conclusion: The problem of slow convergence and easy to fall into local optimum in the solution of green low-carbon logistics path optimization problem is solved.

Diffusion of Industry 4.0 technologies in logistics: learning from past and future direction

Diffusion of Industry 4.0 technologies in logistics: learning from past and future direction

ВПЛИВ АДИТИВНИХ ТЕХНОЛОГІЙ НА СТРУКТУРУ ЛОГІСТИКИ ВИРОБНИЧИХ ПІДПРИЄМСТВ

In the article the integration of additive manufacturing within the logistics chains utilized by modern manufacturing companies is examined. The study explores how additive technologies, particularly 3D printing, influence logistics processes and supply chains, offering opportunities for optimization and acceleration of production workflows. Specific advantages of 3D printing, such as reduced transportation and storage costs, enhanced production flexibility, and a decrease in required inventory levels, are highlighted, demonstrating the greater efficiency of these technologies compared to traditional manufacturing methods. The article also presents a practical case study of a Ukrainian manufacturing enterprise that has implemented additive technologies, showcasing how these innovations have helped the company streamline its logistics processes, reduce costs, and enhance its market competitiveness. The analysis underlines the significance of further developing and adopting innovations in the field of additive technologies, which can substantially transform the logistics structure of manufacturing enterprises, fostering their successful growth in today’s economic environment. By exploring the practical benefits and potential of 3D printing in logistics, the article provides valuable insights into how companies can leverage these technologies to gain a competitive edge. The study suggests that continued innovation in additive manufacturing will play a crucial role in reshaping the logistics landscape, enabling companies to meet evolving market demands with greater agility and efficiency. The atticle discusses how 3D printing technology enables on-demand production, reducing lead times and minimizing the need for extensive warehousing. The study emphasizes the strategic importance of adopting additive technologies in logistics, predicting that companies that invest in these innovations will be better positioned to navigate the challenges of a rapidly changing economic landscape. By integrating 3D printing into their logistics and production strategies, enterprises can achieve more sustainable and resilient operations, ultimately leading to enhanced customer satisfaction and increased profitability.

The Use of Blockchain Technology in Logistics and Supply Chain Management (SCM): A Systematic Review

The Use of Blockchain Technology in Logistics and Supply Chain Management (SCM): A Systematic Review

Mechanism Analysis of Smart Logistics Technology to Enhance the Logistics Efficiency of Rural E-Commerce

Abstract Under the advancement of reform and opening-up policy, the development direction of e-commerce enterprises has gradually shifted from the city to the rural areas with lower levels of economic development. This paper builds a rural e-commerce intelligent logistics system based on the Internet of Things (IoT) technology and proposes an improved ant colony algorithm to plan the optimal path of rural e-commerce logistics and distribution by mining the transfer probability of each distribution point in logistics and distribution as well as pheromone updating mechanism, so as to improve the logistics efficiency and customer satisfaction. Experiments show that the improved ACO algorithm in this paper performs significantly better than the genetic algorithm and particle swarm algorithm in logistics and distribution path planning and can control the transportation cost and penalty cost at a lower level. When considering the cargo loss of fresh products in logistics distribution, the satisfaction rate of traditional logistics distribution is only 65.2%, while the satisfaction rate of logistics distribution based on intelligent logistics technology is 87.9% on average. The distribution path planned by the ant colony algorithm has less mileage, lower cost, and higher logistics efficiency. This paper provides a feasible path for further improvement of rural e-commerce logistics efficiency, which can promote the development of the logistics industry in the direction of more intelligent, personalized, and green.

Efficiency Improvement Mechanism of Smart Logistics Technology in Rural E-commerce Logistics and Distribution

Abstract This paper addresses the problems existing in the current two-way logistics and distribution model of rural e-commerce and proposes the study of rural e-commerce distribution efficiency with the technical support of intelligent logistics. Based on the knowledge of multi-objective optimization theory, the maximization of distribution efficiency of logistics enterprises and the maximization of demand coverage as the objective function, while the constraints are vehicle load, service time, path constraints, and finally, complete the construction of the multi-objective optimization model of rural e-commerce logistics and distribution efficiency. According to the NSGA-II algorithm with low computational complexity, fast operation speed, and good convergence, the NSGA-II algorithm is used to solve the constructed model, and then the optimal solution of rural e-commerce logistics distribution efficiency is derived. With regional logistics as the research subject, a multi-objective optimization model for rural e-commerce logistics distribution efficiency supported by intelligent logistics technology is simulated and analyzed. The data show that compared with other algorithms, the NSGAII algorithm has a smoother learning curve oscillation, while the final result of convergence (-1.473), the objective function is smaller (20.42), and the optimal total transportation time is smaller (609.22s). Finally, in order to solve the current rural e-commerce logistics and distribution problems in part, from the improvement of rural e-commerce logistics and distribution system, strengthen the rural logistics infrastructure construction of the two aspects of rural e-commerce logistics and distribution efficiency improvement strategy.

Application of blockchain technology in green logistics in Vietnam

Application of blockchain technology in green logistics in Vietnam

Research and practice of energy saving and emission reduction technology in green logistics engineering

Research and practice of energy saving and emission reduction technology in green logistics engineering

ЕКОНОМІЧНА БЕЗПЕКА ПІДПРИЄМСТВ МОРСЬКОГО ТРАНСПОРТУ В УМОВАХ ЦИФРОВІЗАЦІЇ

The article examines the problems and prospects of ensuring the economic security of maritime transport enterprises in the conditions of digitalization.The state of economic safety in water transport is an important factor in the formation of demand for transportation and ensuring a positive economic result of the economic activity of maritime and river transport enterprises. However, the lack of a mechanism for ensuring the necessary level of economic security does not allow timely determination of its state and makes it difficult to implement the necessary response measures.In the conditions of digitalization, the economic security of maritime transport enterprises plays a key role in ensuring sustainable development. The impact of digitization on the economy requires special attention to comprehensive protection of enterprises.The growth of the Internet of Things, the use of blockchain and the development of artificial intelligence determine the current trends in the digitalization of maritime transport. These innovations affect the economic security of enterprises.That is why the problems of ensuring the economic security of maritime transport enterprises in relationship with digitalization in the conditions of development global network of economic and social processes are acquired increasingly relevant.Large-scale changes based on the introduction of digital technologies, significantly expand the scope of the problem of provision economic security. Effective risk management in the conditions development of the digital space is of great importance for implementation economic issues and social benefits of the digital economy.The formation of reliability in new conditions of interaction, the basis of which is digital technologies are an important condition of socio-economic the need for the development of modern enterprises.Digital transformation is not limited and determined by the implementation of digital technologies in the company's activities, it involves much deeper changes that affect not only individual business processes. Many transport companies are working to make the freight transport market more transparent, efficient, cheap and fast. This can be done thanks to the application of IT technologies.An example of the implementation of digital technologies in international logistics is the use of electronic document flow by maritime transport and logistics companies, namely: electronic sea waybill. This allows you to gain significant advantages in speed and flexibility over other logistics companies that provide intermediary logistics services to their customers.In addition to the use of electronic sea bills of lading, such new digital technologies as blockchain, online aggregators, smart contracts, artificial intelligence, sensor technology, robotics and 3D printing, big data and the Internet of Things, autonomous control or unmanned transport, virtual reality and augmented reality, digital doubles that will be able to ensure the security of trade.In maritime shipping, the use of blockchain technology will help ensure the transfer and exchange of data, and will also be able to provide up-to-date information on the status of shipments. This is done more and more often electronically, with the help of an electronic data exchange message.Ukraine occupies an extremely favorable geographical position from the point of view of the organization of transit cargo flows, its transport potential takes into account the development of road, railway, sea, river, aviation and pipeline transport

Regulatory role, clean logistics technology and environmental sustainability

This study examines the pivotal role that regulatory frameworks play in driving the adoption of clean logistics technologies and ensuring friendly environment in Bauchi. A 5-point Likert scale instrument was used to collect data from the recruited respondents along with stratified snowball sampling method. Important variable indicators of regulatory role, clean logistics technology and environmental pollution were visualized using charts while regression was used for inferential analysis. The results reveled a positive link between regulatory role and clean logistics technology. Suggesting that an increase in regulatory role by 1% will increases clean logistics technology, specifically, the use of alternative energies by 0.2%. Moreover, the result shows a negative and important association between government regulatory role and environmental pollution. This implies that an increase in government regulatory role by 1% will mitigate environmental pollution by 0.1%. Furthermore, the result reveals a negative relationship between clean logistics technology and environmental pollution. Thus, a 1% increase in clean logistics technology will reduce environmental pollution by 0.1%. The implications of these findings for policy purpose are: (i) improved regulatory role is required to facilitate the adoption of clean logistics technology and achieve sustainable environment; (ii) minimizing emissions by logistics operators through adopting alternative sources of energy will further improve environmental sustainability.

Effective Application of Smart Logistics Technology in Rural E-commerce Logistics Distribution

Abstract With the continuous development of smart logistics technology, the status of rural e-commerce logistics and distribution has also increased. This paper combines the intelligent logistics technology framework based on rural e-commerce logistics distribution situation, the selection of rural e-commerce distribution node sites, and distribution path optimization. Furthermore, construct a game model for the rural e-commerce logistics and distribution industry chain with the goal of generating synergy. We examine the traditional rural e-commerce logistics and distribution scheme, distribution node setting, and benefits game based on this basis. The results show that the total cost of the smart logistics distribution program is reduced by 200.7 compared with the traditional distribution program, and the total cost of the smart logistics distribution program saves 5% compared with the traditional distribution program. The average transportation time of smart logistics distribution is 11.22min, which is significantly reduced compared with traditional logistics distribution. The rural smart logistics distribution system for e-commerce that uses benefit sharing and cost sharing profit 1242 is the best program when comparing benefits. To sum up, smart logistics technology plays a significant role in rural e-commerce logistics distribution, which can effectively save logistics distribution costs and enhance distribution efficiency.