Logistics System Research Articles

The potential of the enterprise's foreign economic activity: essence and structure

In the paper, on the basis of resource, functional-target, effective approaches, the foreign economic potential of the enterprise as a set of resources, opportunities and abilities of the enterprise to ensure the achievement of the results of economic activity in the field of international economic relations at the highest possible level is determined. The multifaceted content of the foreign economic potential as a complex component of the economic potential of the enterprise is revealed, the internal resource and performance potentials as well as the potential of external factors and conditions of foreign economic activity are characterized. The polystructural nature of the foreign economic potential is substantiated and its components are revealed: – the potential of the foreign trade model of the enterprise's foreign economic activity as a set of resources, capabilities of the enterprise, as well as its ability to conduct effective export-import activities; – the potential of the production and investment model, the structural elements of which are the resource and productive potential of such types of foreign economic activity as international leasing, franchising, subcontracts, international investments, international production specialization and cooperation, joint entrepreneurial activity; – the potential of an infrastructural model focused on the provision by the enterprise of consulting, insurance, transport and forwarding, marketing, legal and other services to foreign economic entities. The structural elements of the potentials of models of foreign economic activity are: marketing potential - a set of resources, opportunities and abilities of an enterprise to ensure the competitive advantages of its products (services) in the target segments of the world market; logistics potential - a set of resources, opportunities and abilities of the logistics system of foreign economic activity.

Integration of Information Technology and Machine Learning to Improve the Efficiency of IoT-Based Logistics Systems

In today's digital era, efficiency in supply chain management and logistics is the main key to maintaining business competitiveness. This article discusses the integration of Information Technology (IT) and Machine Learning (ML) in Internet of Things (IoT)-based logistics systems to improve operational efficiency. By leveraging IoT sensors for real-time data collection and ML algorithms for predictive analysis, the system is able to optimize inventory management, route planning, and preventive maintenance. The case studies discussed in this article show that the use of ML in IoT-based logistics systems can reduce delivery times, lower operational costs, and increase responsiveness to changes in market demand. The results of this study are expected to provide insight for system developers and logistics managers in implementing advanced technologies to address challenges in the modern logistics industry.

The Role of Logistics and Infrastructure in Promoting International Trade

This study aims to explore the role of logistics and infrastructure in promoting international trade. Through systematic analysis of relevant theories and practical impacts, the research finds that logistics and infrastructure play key roles in reducing transaction costs, enhancing trade speed and reliability, and promoting market connectivity and integration. Specifically, an efficient logistics system can optimize transportation, warehousing, distribution, and inventory management, thereby improving the overall efficiency of international trade. Meanwhile, modern transportation, information and communication, and energy infrastructure provide robust support for international trade, facilitating efficient global supply chain operations and economic growth. However, the logistics and infrastructure sectors also face challenges such as infrastructure aging, cross-border logistics barriers, environmental issues, and sustainability concerns. In the future, smart logistics, green logistics, public-private partnerships, and international cooperation will become important development trends. Based on these findings, this paper proposes that governments should formulate supportive policies and improve infrastructure investment mechanisms, while enterprises should enhance logistics optimization and technological innovation. By conducting an in-depth study of the role of logistics and infrastructure in international trade, this research aims to provide theoretical support and practical guidance for policymakers and enterprises, promoting sustainable development in international trade.

The integration of dynamic value stream mapping and cost time profile method for optimizing offshore drilling logistic base operations

The research aims to analyze the integration of Dynamic Value Stream Mapping (DVMM) and Cost Time Profile (CT-profile) method for optimizing offshore drilling logistic base operations. The novelty of the research is the implementation of DVMM and CT-profile that implemented in monitoring system INTACTS (Integrated Dynamic value stream mapping and Cost time profile for shore base operation) which is directly connected to shore base material movement recording system. Each successful lift performed in JIT mode will be recorded and its characteristics studied so that it can be applied to other material lifting operations. This research uses data on the lifting operation on July - December 2020. The new method is applied in a logistic system for drilling activity. The research shows that DVSM is suitable to be applied for logistics in off shore base problems since the job and situation are very dynamics.

The Overview Literature Review on Competence-Based Education in The Industrial Engineering Using PRISMA 2020

Structured methods for the methodical re-alignment of professional education programs are needed for the comprehensive integration of the human workforce in digital and sustainable manufacturing and logistics systems. It is believed that investing in engineering education is essential to the advancement of both industry and society. Future engineers, though, will need more than simply a solid foundation in technology. The focus on competence-orientation is often neglected, particularly in the field of Industrial Engineering (IE), and empirically proven success criteria that support the holistic reorientation of engineering education are usually studied. The authors of this work perform a thorough literature review on engineering education, focusing on competence-based engineering education within the field of IE. Additionally, the writers offer beneficial implications for the competence-based for Industrial Engineering students and lectures writings.

Prospects for the development of national logistics under sanctions

The article examines the theoretical background and practical experience of creating a logistics startup in the context of the national logistics infrastructure. The purpose of this scientific article is to develop a system of recommendations for implementing a logistics startup in conditions of economic turbulence. The relevance of the stated topic is due to the fact that due to international instability of economic relations, a significant part of the logistics export and import channels have collapsed, which requires entrepreneurial initiative to create new supply channels taking into account current foreign economic realities. At the same time, in the current conditions, the problems of the Russian logistics system related to its lack of self–sufficiency and the presence of certain links, the existence of which is necessary to ensure its integrity, have become urgent. In particular, these links are represented by structures providing container transportation, structures authorized to carry out international insurance and technology companies used in organizing navigation and dispatch processes. The high probability that Russia will be cut off from global logistics processes for a long time indicates that there are unfilled niches in the country for the creation of domestic logistics start–ups, which requires the implementation of logistics start–ups on conditions other than standard market ones.

Industrial Robot Trajectory Optimization Based on Improved Sparrow Search Algorithm

This paper proposes an enhanced multi-strategy sparrow search algorithm to optimize the trajectory of a six-axis industrial robot, addressing issues of low efficiency and high vibration impact on joints during operation. Initially, the improved D-H parametric method is employed to establish both forward and inverse kinematic models of the robot. Subsequently, a 3-5-3 mixed polynomial interpolation trajectory planning approach is applied to the robot. Building upon the conventional sparrow algorithm, a two-dimensional Logistic chaotic system initializes the population. Additionally, a Levy flight strategy and nonlinear adaptive weighting are introduced to refine the discoverer position update operator, while an inverse learning strategy enhances the vigilante position update operator. These modifications boost both the local and global search capabilities of the algorithm. The improved sparrow algorithm, based on 3-5-3 hybrid polynomial trajectory planning, is then used for the time-optimal trajectory planning of the robot. This is compared with traditional sparrow search algorithm and particle swarm algorithm optimization results. The findings indicate that the proposed enhanced sparrow search algorithm outperforms both the standard sparrow algorithm and the particle swarm algorithm in terms of convergence speed and accuracy for robot trajectory optimization. This can lead to the increased work efficiency and performance of the robot.

On optimizing the company’s logistics activities

The article identifies the problem of organizing an effective logistics system in a company. The classic scheme for optimizing logistics processes and reducing costs, as well as the methods for optimizing transport costs are considered. It is proposed to consider the introduction of modern software that can improve the efficiency of logistics processes.

A two-level decision-support framework for reverse logistics network design considering technology transformation in Industry 4.0: a case study in Norway

Reverse logistics network design is a complex decision-making problem that involves the reuse, repair, remanufacturing, and recycling of end-of-life (EOL) under the tradeoff among conflicting objectives. The cutting-edge technologies in Industry 4.0 are now leading to an unprecedented and dynamic transformation of reverse logistics systems, which, however, further complicates the initial network design. In this paper, a two-level decision-support framework combined with both optimization and dynamic simulation is proposed to balance the cost, environmental impact, and service level in smart and sustainable reverse logistics network design under a dynamically evolving and stochastic environment. The results of a real-world case study in Norway show that the method can better support robust strategic decisions, eliminate dominated/near-dominated solutions, and yield holistic performance analyses considering smart reverse logistics transformation. The proposed two-level decision-support framework can better analyze the impact of the technology transformation of Industry 4.0 on reverse logistics systems, while it also provides a fundamental structure for digital reverse logistics twin.

A REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES IN THE LOGISTICS SECTOR

In recent years, developments in Artificial Intelligence (AI) and MachineLearning (ML) technologies have had profound effects on all sectors. The logistics industry has also become a sector where these technologies are being used to a significant extent. The emergence of intelligent logistics systems offers several opportunities for the advancement of this sector by facilitating digital transformation in supply chain and logistics. The aim of this study is to provide a comprehensive review of recent studies examining the use of AI and ML systems in the logistics industry. In this study, which is designed as a systematic study, firstly, based on the existing literature, the basic concepts, trends, researchers and countries working on AI and ML systems in the logistics sector are examined by bibliometric analysis method. Then, information about the prominent AI and ML systems in logistics is given. It is seen that the most frequently used AI and ML technologies in logistics are Deep Learning, Optimization, Internet of Things (IoT), Data Mining and Predictive Models. The methodologies presented in the study have a practical importance in increasing efficiency, transparency and planning in the logistics.

Electronic Logistic Management Information System in Public Health Facilities and Its Implications for the Medicine Supply Chain in Singida District Council, Tanzania.

The effective management of the medicine supply chain is crucial for ensuring the availability of essential medicines and supplies in public health facilities. This study aimed to determine the utilization of the electronic logistic management information system (e-LMIS) in public health facilities and its implications for the medicine supply chain. A mixed methods approach, combining both quantitative and qualitative data collection methods, was used. The study included 106 healthcare providers from 35 public health facilities in Singida District. Six key informants were interviewed using a qualitative method. Of the 106 participants, 62.3% said they were somehow competent in e-LMIS utilization. In in-depth interviews, respondents underscored the system's utility for tracking stock levels, procurements, and managing orders. Staff shortages and a lack of customized training were mentioned as major challenges hindering efficiency in managing drug supplies. This study highlighted the positive impact of e-LMIS on various aspects of the medicine supply chain, including the timely submission of orders and enhanced inventory management. Sustained management support and the regular utilization of the e-LMIS system are crucial for building and maintaining competence among healthcare providers, thereby optimizing the medicine supply chain and ultimately improving healthcare delivery.

Transformation of the international transport and logistics system under sanctions

Transformation of the international transport and logistics system under sanctions

Impact of logistics capacity on duopoly competition: Implications for firms and consumers

AbstractPrice promotion is an effective way to capture market share, as consumer sensitivity to price is universal. Yet, consumer satisfaction with services‐such as logistics‐plays a critical role. Deep price discounts can indeed spike demand, but they can also congest systems, thus prolonging delivery times and diminishing consumer satisfaction. Despite observed significant effects of logistics capacity on consumer and firm payoffs in logistics systems in recent years, economic and operational analysis of these effects remains under explored. This study theoretically examines the influence of logistics capacity on competition between two firms using a refined Hotelling model that incorporates system congestion via a BPR‐type congestion function. Our primary findings include: First, the possibility of multiple equilibria emerges with intermediate product values, fueled by either unilateral price reductions to seize greater market share or price increases to enhance marginal benefits. Moreover, a firm with superior logistics capacity may not always set higher prices at equilibrium. Second, we show that equilibrium pricing exhibits a non‐monotonic relationship with logistics capacity and market size. Lastly, we scrutinize firms' long‐term strategic reactions to changes in logistics capacity and the implications of marginal capacity costs, symmetric or otherwise. Our findings provide the following insights. We caution that the equilibrium pricing strategy is ambiguous when the product value is not extreme because both firms are more likely to engage in random price wars. Intriguingly, while augmenting logistics capacity might elevate service satisfaction, it could paradoxically reduce firm revenue or consumer surplus. Our analysis also indicates that higher marginal capacity costs could, counter intuitively, benefit firms or consumers.

Global Supply Chain Management and The Performance of Multi-National Companies in Rivers State of Nigeria

This study examined the relationship between global supply chain management and the performance of multi-national companies in rivers state of Nigeria. This study adopted a correlational research design. The population of the study consisted of 10 multinational companies operating in Rivers State as retrieved from Nigerian business directory search engine. The study adopted a census study, 3 respondents were selected from each firm multiplied by 10 firms give us a total of 30 respondents. Structured questionnaire instrument title” Global supply chain management and performance questionnaire was developed on five point likert scale. The result of the Cronbach's Alpha reliability test indicates .800 which is above .70 which implies that the items are reliable. Pearson product moment correlation was used to test the hypotheses using SPSS (statistical package social sciences). The study revealed that there is a significance relationship between global sourcing and profitability of multi-national companies in Rivers State of Nigeria. There is a significance relationship between outsourcing and operational7process efficiency of multi-national companies in Rivers State of Nigeria. There is a significance relationship between global production and distribution and customer satisfaction of multi-national companies in Rivers State of Nigeria. In conclusion, global supply chain management is a critical aspect of business operations for multi-national companies in Rivers State of Nigeria. By investing in infrastructure, building strong relationships with local partners, implementing effective communication and coordination processes, and utilizing technology, MNCs can improve the performance of their supply chains and gain a competitive advantage in the region. The study recommended that MNCs should consider investing in the development of infrastructure in Rivers State, including transportation and logistics systems, to improve the efficiency and effectiveness of their supply chains.

Analyzing Barriers to Reverse Logistics Systems for E-Commerce in Vietnam

Analyzing Barriers to Reverse Logistics Systems for E-Commerce in Vietnam

Performance Evaluation of Fishery Logistics Systems at the Port of the Marine Toll Network Dobo Port, Maluku

The Sea Toll Program is a program organized by the government with the aim of increasing connectivity between islands in Indonesia, increasing distribution and maintaining the availability of basic necessities and important goods, thereby reducing price disparities across all islands. The Maluku Islands, especially Dobo port, is one of the regions in Indonesia that is rich in fish production and is also traversed by the Sea Toll program. Researchers want to see whether the Sea Toll program can support and synergize with the SLIN (National Fish Logistics System) program by measuring the fish logistics performance index (IKLI) at Dobo Port. The data collection technique was carried out using a purposive sampling technique with a questionnaire method. A total of 13 respondents were interviewed and the results of the fish logistics performance index at Dobo Port were 56.1%. Based on the ordinal scale, the IKLI value in Pel Dobo is sufficient but not optimal. There are three lowest dimensions that need to be improved so that the marine highway program in Pel Dobo can improve, namely the management dimension of fish procurement, the benefits dimension and the governance dimension.

Research on high-speed classification and location algorithm for logistics parcels based on a monocular camera

The rapid development of the logistics industry has driven innovations in parcel sorting technology, among which the swift and precise positioning and classification of parcels have become key to enhancing the performance of logistics systems. This study aims to address the limitations of traditional light curtain positioning methods in logistics sorting workshops amidst high-speed upgrades. This paper proposes a high-speed classification and location algorithm for logistics parcels utilizing a monocular camera. The algorithm combines traditional visual processing methods with an enhanced version of the lightweight YOLOv5 object detection algorithm, achieving high-speed, high-precision parcel positioning. Through the adjustment of the network structure and the incorporation of new feature extraction modules and ECIOU loss functions, the model’s robustness and detection accuracy have been significantly improved. Experimental results demonstrate that this model exhibits outstanding performance on a customized logistics parcel dataset, notably enhancing the model's parameter efficiency and computational speed, thereby offering an effective solution for industrial applications in high-speed logistics supply.

Incidence and risk factors associated with acquired syphilis in HIV pre-exposure prophylaxis users.

Acquired syphilis continues to affect millions of people around the world. It is crucial to study it in the context of HIV Pre-Exposure Prophylaxis (PrEP) to achieve the goals set out in the 2030 Agenda since the literature suggests increased risk behaviors for sexually transmitted infections. This study aimed to investigate the incidence and factors associated with acquired syphilis among PrEP users. This retrospective cohort included data on PrEP users from all over Brazil from 2018 to 2020, retrieved from the national antiretroviral logistics system. We calculated the proportion of syphilis before PrEP, the incidence during the user's follow-up, reinfections, and their possible associated factors. We conducted descriptive, bivariate, and multivariate analysis, estimating the crude Relative Risk, adjusted Odds Ratio (aOR), and their respective confidence intervals (95%CI). Most of the 34,000 individuals who started PrEP were male (89.0%), white (53.7%), self-identified as male (85.2%), homosexual, gay, or lesbian (72.2%), and had 12 schooling years or more (67.8%). Of these, 8.3% had syphilis in the six months before starting PrEP, and 4% had it in the first 30 days of using the prophylaxis. We identified a loss-to-follow-up rate of 41.7%, although the loss and the cohort shared similar characteristics. The proportion of missed syphilis tests was high: 33.4% in the 30 days and 38.8% in the follow-up period. In the 19,820 individuals effectively monitored, the incidence of acquired syphilis was 19.1 cases per 100 person-years, and 1.9% of users had reinfection. The rate of missed syphilis tests at the 30-day follow-up was 33.4%, and the total follow-up test period was 38.8%. The multivariate analysis identified female gender (aOR 0.3; 95%CI 0.2-0.5), being white or Black (aOR 0.9; 95%CI 0.7-0.9 and aOR 0.7; 95%CI 0.7-0.99, respectively) as protective factors for syphilis. Being homosexual, gay, lesbian (aOR 2.7; 95%CI 2.0-3.7), or having a history of syphilis in the six months before PrEP (aOR 2.2; 95%CI 1.9-2.5) were risk factors for syphilis during PrEP use. Behaviors related to the risk of syphilis included accepting something in exchange for sex (aOR 1.6; 95%CI 1.3-1.9), irregular condom use (use in less than half of sexual intercourse sessions; aOR 1.7; 95%CI 1.53-2.1) and recreational drug use (poppers; aOR 1.5; 95%CI 1.53-2.1). Syphilis in the context of PrEP has high rates and is associated with sociodemographic and behavioral factors. We recommend additional studies targeting prevention in this population to curb these figures.

Connected, programmed, and immobilised: a mobile ethnography of platform-mediated food delivery in Seoul

Against the rise of mobility platforms, this paper explores the practices and politics of mobility arising from the everyday infrastructural functioning of Baemin, the largest food delivery platform in South Korea. While the literature on food delivery platforms centres on changing labour relations, platform workers do not merely represent a new type of labour; they likewise form a critical conduit in the urban logistics system. Platform-mediated food delivery can be therefore conceptualised as a moving assemblage of heterogeneous entities that constitutes an urban infrastructure. Having emerged as an urban mobility regime, food delivery platforms increasingly enact a form of governance, enabling a particular mode of circulation and movements. Engaging with the mobility framework, combined with critical infrastructure scholarship, this paper seeks to uncover the politics of im/mobility involved in the creation of a ceaselessly flowing city envisaged by Baemin. It identifies three forms of mobilities—connected, programmed, and immobilised—produced through contingent interactions between moving bodies, technologies, and the environment, which could amount to tethering effects. Integrating empirical materials from multimethod mobile ethnography in Seoul, it presents on-the-ground accounts of practices, interactions, and sensations gathered around the Baemin-mediated food delivery.

Optimization of spatial layouts for underground facilities to achieve carbon neutrality in cities: A multi-agent system model

Subways, underground logistics systems and underground parking, as the primary facilities types of underground, contribute significantly to the achievement of carbon–neutral cities by moving surface transportation to underground, thereby releasing surface space for the creation of more urban blue-green space for carbon sink. Therefore, in-depth studies on carbon neutrality strategies as well as reliable layout optimization solutions of these three types of underground facilities are required. This study proposes a spatial layout optimization strategy for carbon neutrality using underground hydrogen storage and geothermal energy for these three types of underground facilities employing a multi-agent system model. First, three spatial layout relationships, competition, coordination, and followership, between five underground facilities that contribute to emission reduction were investigated. Second, the implementation steps for optimizing the spatial layout of underground facilities were determined by defining the behavioral guidelines for spatial environment, underground facility, and synergistic agent. Finally, using the Tianfu New District in Chengdu City, China, as a case study, layouts of underground facilities under three different underground space development scenarios were simulated to verify the model. The findings of this study address the gap in the research on underground spatial facilities and their layout optimization in response to emission reduction. This study provided a significant reference for the study of underground space and underground resources at the planning level to aid in achieving carbon–neutral cities.