Logistics Technology Research Articles

PENERAPAN TEKNOLOGI BLOCKCHAIN DALAM MANAJEMEN LOGISTIK PERTAHANAN

Logistics management plays a pivotal role in ensuring the success of military operations within the realm of defense. With the primary goals of enhancing timeliness, transparency, and the overall security of defense asset management, blockchain technology has emerged as an intriguing solution. This educational article endeavors to delve into the concept and utilization of blockchain technology in the logistics management of defense, while also shedding light on the advantages and constraints associated with its implementation. This study adopts a literature review methodology to unravel the intricacies of applying blockchain technology in defense logistics. The findings reveal a multitude of challenges when implementing blockchain technology, including issues related to human resources, technological readiness, regulatory ambiguities, the customization of blockchain systems for strategic defense logistics applications, and the preservation of data integrity. The adoption and implementation of blockchain technology within the field of defense logistics is not a direct, one-size-fits-all process. Instead, tailored adaptations are made to address the unique demands of defense logistics, which often necessitate restricted access for specific stakeholders due to the sensitive nature of the sector. In conclusion, this research underscores the significant potential of blockchain technology in the realm of defense logistics. However, it emphasizes the necessity for further in-depth research and meticulous adaptation to ensure a seamless integration of this technology into the complex landscape of defense logistics.

Ensuring Logistics Integrity: An Ethereum Framework

In this study, we examine the potential benefits and difficulties of integrating blockchain technology based on Ethereum into logistics management systems. Our goal is to offer a thorough grasp of this technology's influence on the logistics sector by looking at its theoretical underpinnings and real-world implementations. Significant outcomes from our research include greater logistic transparency, real-time updates, increased security, and automation of contractual duties. These findings underscore the need to embrace innovation and create a legislative framework that facilitates the implementation of blockchain technology, with broad ramifications for logistics firms and legislators. Our study adds to the expanding corpus of information on the application of blockchain technology in logistics, offering insightful information to scholars, policymakers, and business professionals.

Making Malaysia A Logistic HUB: A Vision of PKT Logistics Group Sdn Bhd

Dato' Seri Michael Tio (DMT), the CEO of PKT Logistics, is returning to his residence after a busy day at his office in Shah Alam, Selangor, Malaysia. He will have dinner with his family and, after dinner, must consider next week’s crucial strategic group meeting. As a visionary entrepreneur, DMT is not just focused on the present success of PKT Logistics but is deeply invested in the company's core values and long-term ambitions. His leadership has already navigated PKT through numerous challenges, significantly contributing to its strong reputation and leadership position in the logistics and supply chain industry.
 
 DMT’s aspiration is not limited to maintaining PKT's current success; he envisions elevating Malaysia as a central hub in the ASEAN region. This goal reflects his commitment to advancing his company and boosting the nation's standing in the global logistics arena. Under his guidance, PKT has demonstrated remarkable growth, and its value system has been a cornerstone in differentiating it from competitors.
 
 As DMT prepares for the strategic meeting, he contemplates the future trajectory of PKT. He plans to propose a forward-thinking strategy to steer the company towards significant achievements in the next five to ten years, targeting 2025 to 2030. His vision includes expanding PKT's reach, embracing innovative technologies, and further integrating sustainable practices while nurturing the company's human capital.
 
 DMT understands that the logistics industry is rapidly evolving, driven by technological advancements and changing global trade dynamics. He recognizes the importance of adapting to these changes and staying ahead of the curve. Thus, his strategy for the meeting will focus on exploring new market opportunities, investing in cutting-edge logistics technology, and fostering a culture of continuous learning and innovation within PKT.
 

Lifting and transportation equipment at the international trade show for intralogistics LogiMAT 2023 in Germany

In April 2023 LogiMAT 2023, the International Trade Show for Intralogistics Solutions and Process Management, was held in Stuttgart (Germany). The trade show was the largest international review of innovations in the fi eld of intralogistics. The exhibits presented at the show clearly demonstrated current conceptual requirements for development of logistics and transport, such as digitalization, automation and robotization. New kinds and types of lifting, transportation and storage equipment, new logistics technologies and systems, innovative control systems using the capabilities of artifi cial intelligence, machine learning, cloud technologies and other state-of-the-art achievements of science and practice were widely presented at the exhibition. The lifting and transportation equipment was represented by fl oor transport, independent mobile robots, load-hoisting and load gripping devices, the systems for sorting, packing, packaging and retrieval of cargoes, etc. The article discusses some types of lifting and transportation equipment, such as fl oor vehicles, mobile robots, load-hoisting and load gripping devices, as well as some types of related equipment.

Optimal paths for UAV multi-express full delivery in 3D modeling

The use of drones in logistics is steadily becoming more common as drone technology advances. As a result, logistics path planning has become a viable research topic. The majority of previous research has concentrated on low-load vehicle-borne UAVs. DJI recently produced a high payload civilian delivery UAV with a maximum capacity of 30 to 40 kg, paving the path for high payload UAVs and providing the criteria for this research. The goal of this research is to increase the efficiency of UAV delivery while also reducing energy consumption, as well as to investigate the path planning problem for large load UAVs in batches. Prior to choosing the ACO method to determine the best route for a single batch, the genetic algorithm is used to achieve the entire load for express delivery in batches. After this, the whole path is determined and supported. The output of the program is the correlation between the number of iterations and the single optimal route, which is then added to produce the overall path. After showing this, we infer that the sum of single ideal paths is the best total path, which maximizes efficiency and saves energy. The significance of this research is to provide some directions for thinking and help for the research of UAV logistics, and we hope to further develop UAV logistics technology to some extent under the premise of energy saving and time saving.

The Collaborative Application of Internet of Things and Artificial Intelligence in Smart Logistics

This article introduces the current application status and development trends of the Internet of Things and artificial intelligence technology in smart logistics, analyzes how the Internet of Things and artificial intelligence technology work together to achieve efficient operation of smart logistics systems, as well as the challenges and opportunities they face. This article believes that the Internet of Things and artificial intelligence technology are the core driving forces of smart logistics. They can achieve informatization, automation, and intelligent processing in various aspects of logistics, improve logistics efficiency, reduce logistics costs, and promote green and sustainable development of logistics.

Enabling joint distribution with blockchain technology in last-mile logistics

Joint distribution is a crucial business model employed to improve courier delivery performance in last-mile logistics (LML). However, the moral hazard of the shared agent related to carrier selection impedes the model’s widespread adoption. Cutting-edge blockchain technology (BT) provides a new way out and allows us to propose a hybrid method by combining coordination contracts with BT. First, we theoretically analyze the behavior of participants in LML. Next, two-part tariff and revenue-sharing contracts are provided to overcome the double marginalization problems in a decentralized business model. Then, BT implementation makes the contracts dynamic and prevents moral hazards during the contract’s execution period. Finally, our method enables trust to be built in the joint distribution even with a relatively loose organizational structure (i.e., courier alliance) with the evidence of the proof-of-concept and numerical experiments. Moreover, the proposed method is highly relevant to the logistics industry and potentially solves a broader array of trust issues in operations and supply chain management.

DIGITAL TECHNOLOGIES IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT

The aim of the research is to summarize current trends in the use of digital technologies in logistics and supply chain management, to study the nature of their impact on the development of the logistics system of an economic entity. The article summarizes the main trends in the digitalization of supply chains and logistics in trade and industry. The methodical aspects of digital transformation of supply chains were considered. It is established that the emphasis in the organization and management of supply chains has shifted towards the transformation of traditional chains into the space of the digital economy. The article identifies promising areas and challenges for the use of digital technologies in logistics and supply chain management: the Internet of Things, blockchain, cloud services, augmented reality, robots, drones, and 3D printing. The trends in the development of digital technologies are explored, as their integration into global supply chains can accelerate, simplify and reduce the cost of the supply process at almost all stages. Digital technologies that improve the process of goods movement in supply chains are presented in the article in terms of logistics in the context of managing the relevant flows: material, information, financial, service. The state of development of cooperation between the main types of economic activities that produce technological and digital technologies and types of economic activities that provide logistics and supply management in the European Union was assessed.

Мathematical model of the problem of optimizing logistics networks under conditions of interval determination of input data

Problem. In the conditions of rapid changes in demand and supply in transportation markets, there is a need for corresponding changes in logistics technologies and networks, which are carried out through their reengineering. Existing mathematical models for the optimization of logistics networks are designed for conditions with point-wise, clearly defined input data, which does not allow obtaining solutions resistant to changes in the external environment. This determined the relevance of the scientific and applied task of developing mathematical models of multi-criteria optimization problems of logistics networks for the conditions of interval submission of input data. Goal. The goal is to increase the efficiency of the logistics network optimization technology at the stage of re-engineering by developing a mathematical model of the multi-criteria optimization problem for the conditions of interval submission of input data. Methodology. According to the results of the decomposition of the problem of system optimization of logistics networks as the most complex defined task of their structural and topological optimization. When developing the model, the methodology of system design of territorially distributed objects, methods of multi-criteria optimization, theories of utility and decision-making were used. The apparatus of interval mathematics was used to compare solution options with vaguely specified input data. The results. The result are the formulated and completed formalization of the task of optimizing logistics networks as territorially distributed objects. The relationship for the objective function and constraints of the optimization task of topological structures of centralized three-level logistics networks is proposed. Originality. A mathematical model of the task of reengineering topological structures of centralized three-level logistics networks according to cost and efficiency indicators for interval defined input data and values of local criteria using comparison indices based on the Hukuhara difference has been developed. Practical value. The obtained results make it possible to increase the reliability of optimization results in the processes of design, development planning and reengineering of logistics networks, to obtain variants of the construction of their topological structures that are resistant to changes in external conditions.

Innovative technologies in supply chains

The article reveals the essential and substantive basis of supply chains, the main tasks. The main elements of the interaction of the material flow on the path of its movement have been studied. The relevance and necessity of using new information technologies in logistics and, in particular, in supply chain management is determined. Digital technologies are the basis of modernity, it is one of the promising areas of development of the world economy. The use of these technologies in logistics processes in the conditions of Industry 4.0 led to the emergence of the concept of "smart logistics". Thanks to smart technologies, the time of many processes in both marketing and logistics is reduced. You can reduce the speed of product delivery and its quality. The development of the digital economy in Ukraine is aimed at creating motivation, forming needs for the use of digital technologies to increase production volumes, increase competitiveness and national development in accordance with the "Concept of the Development of the Digital Economy and Society of Ukraine for 2018-2020" [1]. This concept notes the growing demand for the use of digital processes in various industries. The concept of "smart logistics" is equated with "intelligent logistics" or "intelligent logistics", which involves the optimization of information logistics flows that contribute to the automation of processes. That is, with the help of smart-logistics tools (information systems), efficiency increases in those processes where they are used. The movement of material flow in logistics chains requires the storage of certain stocks in warehouses. Accordingly, warehousing also needs to improve the efficiency of its activities, as well as the transportation system. The purpose of this article is to define the concept of smart logistics, its meaning and key elements. Key information technologies used in supply chain management are analyzed in the work, and the stages of their application are highlighted. The introduction of smart technologies in logistics determines clearer processes and priorities for the use of digital innovations in the company's activities.

Information, Communication and Logistics Technologies of the Hotel Customers’ Service Organization

Topicality. In nowadays conditions, the importance of information, communication and logistics technologies in the organization of the hotel customers’ service increases. The relevance heightens due to the economics of sustainable development and attention to the customers’ needs. Each institution tries to satisfy their needs as fully as possible, and to get a new consumer of services. Therefore, it is important to understand and use information, communication and logistics technologies in practical activity. The aim of the article is to develop information, communication and logistics technologies for organizing hotel customers’ service using the example of one of the hotel chains in Ukraine “Edem Resort Medical & SPA”. Research methods. When conducting the research, general scientific methods were used: induction and deduction, abstraction, theoretical analysis and synthesis, comparison, generalization, conclusion. Results. Technologies in the hotel business logistics were defined. It was established that in practical activities with the aim of increasing the client base, it is worth using the scheme of information, communication and logistics technologies for the organization of the hotel customers’ service. It was noted that the main technologies are “Design Thinking” and Value Offer Canvas. The stages of the technological algorithm of the guest cycle were elaborated. Conclusions and discussion. It is determined that the hotel and restaurant business is changing. This is facilitated by the impact of COVID-19, war, and compliance with the principles of sustainable development by business. A developed model of information, communication and logistics technologies for organizing hotel customers’ service was elaborated using the example of one of the hotel chains “Edem Resort Medical & SPA”. A program of customers’ service based on an individual approach was offered.

Automated Drone Delivery System

Abstract: In the realm of urban logistics, the deployment of automated drone delivery systems has emerged as a transformative solution for urgent package deliveries. This research endeavors to design and construct a fully autonomous drone tailored for rapid and precise deliveries from scratch. Leveraging innovative technologies, including Arduino Uno as the central processing unit, along with GPS modules, NRF24LO1, Ultrasonic sensors, and advanced artificial intelligence algorithms, we create a sophisticated delivery system. Central to our approach is the strategic placement of multiple delivery stations across the city. Each drone is dedicated to a specific route between two delivery stations. When a delivery order is placed, the drone's software autonomously calculates the optimal distance to the nearest delivery station, ensuring swift and energy-efficient deliveries. Crucially, our system operates without human intervention, relying solely on advanced artificial intelligence algorithms to navigate the urban landscape effectively. This paper elucidates the technical intricacies of our drone's design, detailing the integration of sensors, software algorithms, and communication modules. Through rigorous experimentation and analysis, we validate the efficacy of our automated drone delivery system. Our findings not only showcase the practicality of autonomous drone technology in urban logistics but also underscore the potential for its widespread implementation in real-world scenarios, revolutionizing the future of package deliveries.

Technology orientation and export performance: the moderating role of supply chain agility

PurposeThe purpose of this paper is to investigate the relationships between technology orientations and export performance of small and medium-sized enterprises (SMEs).Design/methodology/approachA quantitative research design was adopted for this study. The paper formulates hypotheses from the literature review. These hypotheses are tested using structural equation modeling with data collected from 231 SMEs in Uganda. Data were analyzed using SPSS version 23 and AMOS.FindingsThe findings of this study showed technology orientation has a positive and significant relationship with the performance of Ugandan SMEs and that supply chain agility moderates technology orientation and export performance.Research limitations/implicationsThe study discusses the findings, advances limitations and managerial implications. It also suggests future research avenues. It proposes some recommendations to help Ugandan SMEs to form flexible supply chains, use the latest technology and create strong relationship ties with their partners in the supply chain.Practical implicationsThe study suggests that managers of Ugandan SMEs should use the latest technology in production, marketing, logistics and supply chain management which will enable them to respond quickly to customer tastes and preferences leading to higher levels of export performance.Originality/valueThis study contributes to the literature on strategic management showing the reliability of scales used and the confirmatory of the factor structure. This study shows that in strategic management technology, orientation is critical in increasing export performance. This study has extended the resource-based view (RBV) and dynamic capabilities theories.

AI-Powered Intelligent Seaport Mobility: Enhancing Container Drayage Efficiency through Computer Vision and Deep Learning

The rapid urbanization phenomenon has introduced multifaceted challenges across various domains, including housing, transportation, education, health, and the economy. This necessitates a significant transformation of seaport operations in order to optimize smart mobility and facilitate the evolution of intelligent cities. This conceptual paper presents a novel mathematical framework rooted in deep learning techniques. Our innovative model accurately identifies parking spaces and lanes in seaport environments based on crane positions, utilizing live Closed-Circuit Television (CCTV) camera data for real-time monitoring and efficient parking space allocation. Through a comprehensive literature review, we explore the advantages of merging artificial intelligence (AI) and computer vision (CV) technologies in parking facility management. Our framework focuses on enhancing container drayage efficiency within seaports, emphasizing improved traffic management, optimizing parking space allocation, and streamlining container movement. The insights from our study provide a foundation that could have potential implications for real-world applications. By integrating cutting-edge technologies, our proposed framework not only enhances the efficiency of seaport operations, but also lays the foundation for sustainable and intelligent seaport systems. It signifies a significant leap toward the realization of intelligent seaport operations, contributing profoundly to the advancement of urban logistics and transportation networks. Future research endeavors will concentrate on the practical implementation and validation of this pioneering mathematical framework in real-world seaport environments. Additionally, our work emphasizes the crucial need to explore further applications of AI and CV technologies in seaport logistics, adapting the framework to address the evolving urbanization and transportation challenges. These efforts will foster continuous advancements in the field, shaping the future of intelligent seaport operations.

Awareness of green logistics technology, certification, and standards by logistics practitioners at Chinese e-commerce company, Jing Dong

This study examined the awareness of the environmental and sustainability impacts of green logistics technologies, standards, and certifications by logistics practitioners at the Chinese e-commerce company, Jing Dong. 309 surveys based on questionnaires were gathered using stratified snowball sampling. They were then encoded and examined through descriptive statistics, chi-square tests, and regression techniques. The outcomes indicated that roughly 33 % of the organization's logistics professionals understand the beneficial effects of logistics operations on the environment, and an equivalent proportion comprehended the significance of sustainable development. Additionally, the classifications of logistics operations and years of industry expertise significantly have influenced various aspects of green logistics technology, standards, and certification. The research also has indicated that the acceptance of green logistics technology is contingent on the backgrounds and classifications of the company's logistics experts. This suggests that Jing Dong should strengthen the implementation of relevant logistics policies and raise awareness among logistics practitioners regarding green logistics technology, standards, and certification.

Pathways toward precise monitoring and low-carbon sustainability in fruit cold chain logistics: A solution enabled by flexible temperature sensing

Cold chain logistics (CCL) technology plays an irreplaceable role in the supply chain of fresh and perishable fruits. However, the rigidity and inflexibility of traditional temperature sensors limit the accurate monitoring of fruit temperature, resulting in temperature abuse, fruit quality degradation, and excessive energy consumption issues. In this paper, we proposed a flexible temperature sensing solution, which could provide efficient cold chain food quality control and reduce cold chain carbon emissions. The fruit cold chain experiment and temperature field simulation results show that the flexible precise temperature sensing solution can achieve approximately 20 % reduction in refrigeration carbon emissions due to the unique benefit of conformal monitoring. This paper has verified that the precise flexible temperature sensing technology could be combined with the intelligent cold chain control strategies. The energy consumption of refrigeration equipment can be greatly reduced, thereby promoting the development of sustainable and precise cold chain logistics technology.

Impact of Logistics 4.0 Technology Adoption on Logistics Performance: The Mediating Effect of Logistics Innovation Capability and the Mediated Moderation Effect of Firm Size

Purpose - This study aims to identify the relationship between logistics companies’ Logistics 4.0 technology adoption with logistics innovation capability and logistics performance, and analyze the mediating effect of logistics innovation capability and the mediated moderation effect of firm size through logistics innovation capability.
 Design/methodology - Research models and hypotheses were established based on prior research related to Industry 4.0, Logistics 4.0, logistics technology, logistics performance, and firm size. The survey was conducted on the employees of logistics companies, and exploratory factor analysis, reliability analysis, confirmatory factor analysis, discriminant validity analysis, structural equation model analysis, mediation effect, moderation effect, and the mediated moderation effect analysis were performed.
 Findings - The adoption of Logistics 4.0 technology was found to significantly affect logistics innova- tion capability and logistics performance. Logistics innovation capability was found to significantly affect logistics performance. Moreover, logistics innovation capability was found to have a significant mediation effect on the relationship between Logistics 4.0 technology adoption and logistics perfor- mance. The moderation effect based on firm size was found to have a partial effect on logistics in- novation capability and logistics performance, but the mediated moderation effect was not significant.
 Originality/value - This study is meaningful in that it empirically analyzed the relationship of Logistics 4.0 technology adoption with logistics innovation capability and logistics performance, the mediating effect of logistics innovation capability, the moderation effect of firm size, and the mediated moderation effect of firm size, which were not addressed in previous studies.

Modeling and efficiency analysis of blockchain agriculture products E-commerce cold chain traceability system based on Petri net

The cold chain supply chain of e-commerce has the characteristics of long chain, dispersed production, heterogeneous information sources, etc., which is easy to cause the upstream and downstream information of the supply chain to be broken and opaque. Traditional traceability data is stored in each node enterprise, and there are problems such as low cooperation trust and poor authenticity in the upstream and downstream data transmission process of the supply chain, resulting in consumers' trust crisis on the authenticity of traceability information. Blockchain traceability system through the establishment of multi-party participation, joint maintenance of distributed database, and the use of cryptography and consensus mechanism to establish trust relationships, with data can not be tampered with, sharing of high credibility. On the basis of stochastic Petri net theory, this study constructed a blockchain e-commerce cold chain traceability model centering on the actual application of blockchain technology in logistics traceability to improve the reliability and validity of e-commerce cold chain traceability. Correlation matrix and invariants were used to analyze the validity of the model, and an isomorphic Markov chain was constructed to analyze the effectiveness evolution of the model. This study aims to deepen the understanding of the cold chain traceability system of blockchain e-commerce from the three aspects of the best optimization link, the best synergism scale, and the adaptive ability of the system to provide reference for the improvement of cold chain traceability ability by blockchain technology.

The Use of New Technologies in Logistics: Drone (UAV) Use in Last Mile Delivery

The increasing volume of e-commerce has complicated delivery operations, making it imperative to diversify the processes. Industry leaders have attempted to use drones, autonomous vehicles, electric vehicles, etc., in delivery processes. The research examined the adoption of consumer drone usage in delivery. The Technology Acceptance Model (TAM) was used in the study. In the analysis method, Partial Least Squares-Structural Equation Modelling (PLS-SEM), which is commonly used in the literature for multiple relationships due to the presence of multiple dependent and mediating variables, was used with the Smart PLS software package. Only the H5 hypothesis was rejected in the research, and the other hypotheses were accepted. When examining the hypothesis results, it was concluded that people are open to technological innovations and have a positive outlook on using drones in future product delivery processes.

Research on the Development Problems and Strategies of Agricultural Products Logistics under the Background of Rural Revitalization—Taking Lianjiang Red Orange as a Case

Since 2014, the Report on the Work of the Government has mentioned “express delivery” for 10 consecutive years, which indicates the development direction of the express industry. In 2023, the Report on the Work of the Government also specifically mentioned the need to “improve the rural express logistics distribution system”. Improving the rural logistics system is an important measure to promote industrial upgrading, rural consumption, and rural revitalization.China is a major agricultural country, with grain production, cotton production, and tea production ranking first in the world. In recent years, the agricultural product logistics industry has also experienced rapid development. However, the overall development level of the current agricultural product logistics industry is relatively low, manifested in outdated logistics concepts, insufficient application of advanced logistics technology, relatively backward cold chain logistics technology, and a lack of professional logistics talents. These factors constrain the development of agricultural product logistics. Therefore, this article takes the agricultural product of Lianjiang Red Orange as the research object, analyzes the current development status and problems of agricultural product logistics, and proposes corresponding countermeasures and suggestions to improve the development of agricultural product logistics through analysis. The aim is to provide reference for the development of agricultural product logistics in Lianjiang City and provide strong impetus for comprehensively promoting rural revitalization.