Logistics System Research Articles

The Transportation Cooperation Between Northeast China and the Russian Far East Under the Russia-Ukraine War

The logistics and transportation system of Russia and the world was greatly affected by the 2022 Russia-Ukraine war and the sanctions under the war. Under such circumstances, Sino-Russian cooperation in cross-border transportation is of great significance for the operation of international logistics system and the high-quality cooperation between China and Russia. The aim of this research is to find feasible paths for the transportation cooperation between Northeast China and Russian Far East by analyzing the current situation and existing problems in international transportation cooperation between the two regions. It was found that the current feasible paths of transportation cooperation between Northeast China and Russian Far East include: (1) carrying out transportation cooperation through “pivot cities”; (2) strengthening transportation cooperation by Russian Far East’s Territories of Advanced Development; (3) seizing the new opportunities of Harbin’s opening up to the north to promote international transportation cooperation with Russia; (4) developing transportation cooperation through the linking cooperation between the “Belt and Road” and the “Eurasian Economic Union”.

Development of Evaluation Indicators for Logistic Transportation System with Triple Bottom Line Approach: Jakarta Study Case

Development of Evaluation Indicators for Logistic Transportation System with Triple Bottom Line Approach: Jakarta Study Case

Robust digital-twin airspace discretization and trajectory optimization for autonomous unmanned aerial vehicles

The infiltration of heterogenous fleets of autonomous Unmanned Aerial Vehicles (UAVs) in smart cities is leading to the consumerization of city air space which includes infrastructure creation of roads, traffic design, capacity estimation, and trajectory optimization. This study proposes a novel autonomous Advanced Aerial Mobility (AAM) logistical system for high density city centers. First, we propose a real-time 3D geospatial mining framework for LiDAR data to create a dynamically updated digital twin model. This enables the identification of viable airspace volumes in densely populated 3D environments based on the airspace policy/regulations. Second, we propose a robust city airspace dynamic 4D discretization method (Skyroutes) for autonomous UAVs to incorporate the underlying real-time constraints coupled with externalities, legal, and optimal UAV operation based on kinematics. An hourly trip generation model was applied to create 1138 trips in two scenarios comparing the cartesian discretization to our proposed algorithm. The results show that the AAM enables a precise airspace capacity/cost estimation, due to its detailed 3D generation capabilities. The AAM increased the airspace capacity by up to 10%, the generated UAV trajectories are 50% more energy efficient, and significantly safer.

Modeling the distribution of industrial enterprise products in hierarchical transport and logistics systems

Modeling the distribution of industrial enterprise products in hierarchical transport and logistics systems

Factors Influencing on the Evaluation System of Cold Chain Logistics Services for Agricultural Products in Guangxi Province, The People’s Republic of China

The objectives of this study were: (1) To study the factors that affect the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. (2) To study the relationships between influence factors and the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. (3) To build a model of relationship between quality management and the evaluation system of cold chain logistics services and propose suggestion for improving the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. The study employed a mixed research methodology. In the quantitative analysis section, a questionnaire survey was conducted using simple random sampling. In the qualitative part of the analysis, in-depth interviews were conducted with eight senior managers from agricultural production departments, logistics management companies, fresh agricultural product sales companies, hotels, and government departments. The data analysis utilized statistics including frequency, percentage, mean, standard deviation, and structural equation model. Major Findings: the factors influencing the evaluation system of cold chain logistics services for agricultural products in Guangxi Province were examined. The identified influencing factors included agricultural product cold chain logistics quality management, logistics environment, and transportation efficiency. It was found that agricultural product cold chain logistics quality management has a significant positive impact on the logistics environment, transportation efficiency, and agricultural product cold chain logistics service evaluation system. At the same time, the logistics environment and transportation efficiency have a significant positive impact on the agricultural product cold chain logistics service evaluation system. This study presents the issues with the development of the cold chain logistics service evaluation system for agricultural products in Guangxi, along with countermeasures and suggestions for improvement.(1)Full utilization of existing resources to promote industrialization and modernization of fresh agricultural product logistics; (2) Development of a systematic agricultural product cold chain logistics system to support the agricultural product industry; (3)Strengthening the construction of cold chain supply chains for urban and rural agricultural products; (4)Expediting the introduction of energy-efficient and environmentally sustainable long- and short-distance cold chain transport vehicles; (5)The application of information technology is To be encouraged with a view to enhancing the efficiency and transparency of cold chain logistics.

A Study on How Urban Rail Operators Can Secure New Growth Engines for the Future Approach: The Case of Underground Urban Logistics System

A Study on How Urban Rail Operators Can Secure New Growth Engines for the Future Approach: The Case of Underground Urban Logistics System

Trans-Caspian International Transport Route: A Kazakhstani Perspective on Challenges, Opportunities, and Prospects

The sustainable development of transport and logistics systems and projects is one factor for the successful development of states and an indicator of integration processes in certain regions, including Central Asia. This study is devoted to the analysis of some aspects of the diversification of the external transport and logistics infrastructure; namely, an assessment of the potential of the Trans-Caspian International Transport Route (TITR) from the perspective of the Republic of Kazakhstan. While the route is useful for trade in multiple sectors, this paper will focus on the shipment of petroleum products via the TITR. Despite the absence of restrictions on the transit of goods to Europe through Russia, there are serious challenges to increasing the delivery time. The development of transport and logistics infrastructure is also relevant for Kazakhstan in the context of its new foreign policy role in the international arena to strengthen interregional cooperation. This requires serious attention and research into potentially promising routes. One of these routes is the TITR. Its development can significantly strengthen the economic position of Kazakhstan and strengthen its diplomatic potential. Along with this, there are several challenges and difficulties that need to be analyzed and overcome.

Enhancing Maritime Cybersecurity through Operational Technology Sensor Data Fusion: A Comprehensive Survey and Analysis.

Cybersecurity is becoming an increasingly important aspect in ensuring maritime data protection and operational continuity. Ships, ports, surveillance and navigation systems, industrial technology, cargo, and logistics systems all contribute to a complex maritime environment with a significant cyberattack surface. To that aim, a wide range of cyberattacks in the maritime domain are possible, with the potential to infect vulnerable information and communication systems, compromising safety and security. The use of navigation and surveillance systems, which are considered as part of the maritime OT sensors, can improve maritime cyber situational awareness. This survey critically investigates whether the fusion of OT data, which are used to provide maritime situational awareness, may also improve the ability to detect cyberincidents in real time or near-real time. It includes a thorough analysis of the relevant literature, emphasizing RF but also other sensors, and data fusion approaches that can help improve maritime cybersecurity.

Analisis Manajemen Risiko pada Proyek Konstruksi Pelabuhan: Kajian Literatur Sistematik

The development of an infrastructure in the region can have the effect of increasing people's access to resources so that the increase in productivity can encourage economic growth. Ports as sea transportation infrastructure have a very important and strategic role for industrial and trade growth and are business segments that can contribute to the economy and national development because they are part of the chain of transportation and logistics systems. For this reason, a risk analysis is needed so that the implementation of port construction can be completed on time, in terms of cost, quality and time. This study aims to analyze the risk of port construction using a systematic literature review method. Based on research results, risk in port construction projects is influenced by external non technical (22.807%), technical project (21.053%), external technical (21.053%), internal technical (18.421%), internal non technical (8.772%) and non technical project (7.895%).

Logistics potential to ensure the resilience of the Ukrainian economic system facing global challenges

The aim of this paper is to assess the logistics potential to ensure the resilience of the economic system of Ukraine in the face of global challenges. The methods used in the study include: structural-dynamic, determinological, correlation analysis, index method, graphical and cartographic methods. The calculations were based on open data from analytical studies on the development of transport and logistics, as well as data from the State Statistics Service of Ukraine. The results of the study confirmed the hypothesis that high logistics potential, which is determined by the effectiveness of customs and border control, the quality of trade and transport infrastructure, the ease of organization of delivery, and the quality of logistics services, is the driver of the resilience of socio-economic systems of countries. The reduction of the logistical potential of the economic system of Ukraine in the conditions of a full-scale war is shown. This decrease resulted from blocked operation of a number of logistics routes and branches of the transport and logistics sphere and destroyed transport infrastructure objects as a result of hostilities and missile attacks.A change in the vector of export-import flows and their reorientation by means of transport was noted. Drivers of strengthening the logistics potential of the Ukrainian economic system are the transformation of the transport and logistics system, deepening cooperation with neighboring countries, systematic state support for the development of freight transportation by rail, compliance with European standards, and creation of Ukrzaliznytsia’s own freight carrier company that will work outside Ukraine. AcknowledgmentThis study was carried out within the framework of the international project “Increasing the capacity of freight transportation infrastructure on EU-Ukraine borders” (№ 22220189) implemented under the Visegrad Grant+ Programme.

СТАН І ПЕРСПЕКТИВИ РОЗВИТКУ ЕКОНОМІЧНОЇ КУЛЬТУРИ МАЙБУТНІХ ТЕХНІКІВ З ТРАНСПОРТНИХ ТЕХНОЛОГІЙ ТА УПРАВЛІННЯ ПЕРЕВЕЗЕННЯМИ НА АВТОМОБІЛЬНОМУ ТРАНСПОРТІ

Globalization of the economy and the war in Ukraine create new challenges for the formation and development of economic culture in the professional training of future technicians in transport technologiesand management of road transport in the modern transport sector. The destruction of infrastructure, the blocking of ports, the rise in fuel prices, the shortage of personnel and the instability of the economic situation have a negative impact on the formation and development of economic culture in the professional training of future technicians in transport technologies and management of road transport in the modern transport sector. The war in Ukraine significantly complicated the problems of economic culture, the formation and development of economic culture in the professional training of future technicians in transport technologies and management of road transport in the modern transport sector. However, the war also gives Ukraine a chance to rebuild its logistics system and make it more resilient to challenges. This requires joint efforts of the state, the private sector and international partners.

Bi-Objective Battery Electric Truck Dispatching Problem with Backhauls and Time Windows

The battery electric truck (BET) has emerged as a promising solution to reduce greenhouse gas emissions in urban logistics, given the current strict environmental regulations. This research explores the formulation and solution of the bi-objective BET dispatching problem with backhauls and time windows, aiming to simultaneously reduce environmental impacts and enhance the efficiency of urban logistics. From the sustainability perspective, one of the objectives is to minimize total energy costs, which include energy consumption and battery replacement expenses. On the other hand, from an economic perspective, the other objective is the minimization of labor costs. To solve this bi-objective BET dispatching problem, we propose an innovative approach, integrating an adaptive large neighborhood search-based metaheuristics algorithm with a multi-objective optimization strategy. This integration enables the exploration of the trade-off between fleet energy expenses and labor costs, optimizing the dispatching decisions for BETs. To validate the proposed dispatching strategy, extensive experiments were conducted using real-world fleet operations data from a logistics fleet in Southern California. The results demonstrated that the proposed approach yields a set of Pareto solutions, showcasing its effectiveness in finding a balance between energy efficiency and labor costs in urban logistics systems. The findings of this research contribute to advancing sustainable urban logistics practices and provide valuable insights for fleet operators in effectively managing BET fleets to reduce environmental impacts while maintaining economic efficiency.

Role of IT on the Effectiveness of Logistics and Supply Chain Management Systems in the Pharmaceutical Sector in Saudi Arabia Vision 2030

The main objective of this study is to evaluate how IT might improve the efficacy and efficiency of supply chain management and logistics systems in the pharmaceutical sector because the pharmaceutical industry is experiencing a transformation by the lofty objectives outlined by Saudi Arabia Vision 2030. The study was conducted using 150 executives working in the Saudi Arabian pharmaceutical industry's logistics and supply chain division. An open-ended survey questions were used to determine how IT technology affects pharmaceutical logistics and supply chain using non-probability sampling, logistics managers' LinkedIn accounts were selected for the sample, irrespective of the organization's size, location, or gender. SPSS statistical tools were used to analyse the data. It was found that the integration of IT tools and systems has emerged as a crucial enabler in this process. By harnessing the power of data analytics, IoT (Internet of Things), and automation, pharmaceutical companies can gain real-time insights into their supply chains. This, in turn, allows them to develop agile responses to changing market dynamics and customer expectations. Such strategic decisions, driven by IT, enable businesses to adapt quickly, reorganize their operations, and offer value-added services tailored to the specific needs of the market. Moreover, the creative application of IT solutions facilitates efficient inventory management, demand forecasting, and tracking of pharmaceutical products from manufacturing facilities to end consumers results also show that companies may simply increase the pace of the supply chain with the aid of innovative chances in major choices and judgments.

Research on emergency logistics information traceability model and resource optimization allocation strategies based on consortium blockchain.

In response to increasingly complex social emergencies, this study realizes the optimization of logistics information flow and resource allocation by constructing the Emergency logistics information Traceability model (ELITM-CBT) based on alliance blockchain technology. Using the decentralized, data immutable and transparent characteristics of alliance blockchain technology, this research breaks through the limitations of traditional emergency logistics models and improves the accuracy and efficiency of information management. Combined with the hybrid genetic simulated Annealing algorithm (HGASA), the improved model shows significant advantages in emergency logistics scenarios, especially in terms of total transportation time, total cost, and fairness of resource allocation. The simulation results verify the high efficiency of the model in terms of timeliness of emergency response and accuracy of resource allocation, and provide innovative theoretical support and practical scheme for the field of emergency logistics. Future research will explore more efficient consensus mechanisms, and combine big data and artificial intelligence technology to further improve the performance and adaptability of emergency logistics systems.

Heuristic-Based Hybrid Algorithm for Value Stream Design with Milk-Run Approach

In this study, a heuristic algorithm has been developed for the Milk-Run related to the vehicle routing problem. It aimed to supply in the right place and at the right time in a short time with the internal logistics system approach. Since the proposed problem formulation is NP-hard, we suggested a heuristic-based hybrid genetic algorithm method to solve the problem. Real life problem is solved with a milk run approach inspired by vehicle routing problems. Firstly the model was developed with mixed integer linear programming then the problem was solved with the proposed hybrid genetic algorithm. The aim reduce the total transportation cost in the network and the number of vehicles required by using an efficient vehicle routing strategy. It explains the change in the existing distribution and collection systems of a logistics service company. The response of variables such as time, weight, volume, and pallet was measured under various scenarios with cost and time savings by applying Milk-Run optimization. The deterministic model and the proposed heuristic algorithm compared the previews and outputs of the paths. Accordingly, 30% and 50% discounts were made on restrictions for six different scenarios.

Logistics and Crises: Understanding Roman Military Logistics and Procedures from the Unit Level and Upwards in 2nd to 4th Centuries CE Egypt Using the Surviving ‘Paperwork’

Summary The current article wishes to focus on receipts and reports from Roman Egypt in order to reconstruct the bureaucratic procedures in this region or, more precisely, the bureaucratic procedures of the Roman military logistical system, from the unit level and upwards. This examination will aid in understanding the complexity of the Roman system and the Roman mindset, while highlighting how the lack of modern technology was overcome to maintain a highly organised and vast Empire. This will strengthen and support the assumption that an office organising military supply and their records most probably existed at multiple levels; the nome, the province and Empire. Moreover, the article inspects whether the logistical system endured the many crises of the 2nd and 3rd centuries CE. As there was no significant change during or after these events, this may indicate the resilience of the Roman system. It could also suggest that some of these crises were not deemed as such by the Romans, and/or that the military structure, especially its logistical-bureaucratic side, was not blamed for these military disasters.

Location strategy for logistics distribution centers utilizing improved whale optimization algorithm

Abstract An enhanced whale optimization algorithm is introduced to address the challenges associated with the logistics distribution center location problem, aiming to overcome the traditional heuristic algorithm’s susceptibility to local optima and enhance the overall efficiency of the logistics system. This improvement involves the integration of stochastic sinusoidal inertia weights and a variational strategy to augment the global search capability and convergence accuracy of the conventional algorithm. The results of experimental simulations indicate that the upgraded whale algorithm exhibits superior computational performance compared to other heuristic algorithms. Furthermore, it demonstrates the ability to effectively compute optimal distribution center locations, thereby enhancing the delivery efficiency of the logistics distribution system.

Wasserstein distributionally robust optimization for train operation and freight assignment in a metro-based underground logistics system

As a shared passenger-and-freight transportation mode, the metro-based underground logistics system (M-ULS) can significantly alleviate negative effects caused by ground transportation vehicles and improve urban sustainability. Against this background, this paper addresses dedicated freight train operation and freight assignment problems in the M-ULS without affecting passenger service during the off-peak period. More importantly, this paper proposes a flexible skip-stop strategy to reduce the increased operational cost of freight trains. To hedge against uncertainty, this paper formulates a distributionally robust chance-constrained programming model by limiting uncertain freight demands to a Wasserstein ambiguity set. Moreover, the distributionally robust optimization model for a Wasserstein ball with the 1-norm can be transformed into a mixed-integer linear program, which allows for an efficient solution via CPLEX, thereby enabling metro operators to use it. To implement this study in real-life applications, a case study is conducted based on the Beijing Subway Yizhuang Line. The computational results verify the superiority of the skip-stop strategy and distributionally robust optimization approach proposed in this study. Finally, some managerial suggestions are provided for the metro operators.

Study on the Impact of RCEP National Logistics Performance on Vietnam's Cross-Border E-Commerce Export Trade

In the era of global economic integration, the Regional Comprehensive Economic Partnership (RCEP) plays a pivotal role in shaping trade dynamics, particularly by enhancing Vietnam's cross-border e-commerce exports through improved logistics. This study meticulously reviews a vast array of both domestic and international literature and employs Stata 17.0 software to analyze panel data spanning from 2014 to 2022 across RCEP member countries. It focuses on six core logistics performance indicators: customs and logistics management, logistics infrastructure, timeliness of shipments, quality of logistics services, tracking and tracing capabilities, and ease of international shipments.The findings from this analysis reveal that these logistics performance indicators significantly influence Vietnam's e-commerce exports. Infrastructure quality and the ease of shipments have the most substantial impact, suggesting that robust logistics infrastructure and efficient shipment processes are crucial for enhancing trade efficiency. Despite the overall positive trends, the study notes significant variations in logistics development within the RCEP region. While countries like Singapore exhibit advanced logistics capabilities, ASEAN countries generally lag behind, indicating a disparate level of logistics progress across the region.The research highlights the potential for targeted logistics improvements to directly boost Vietnam's cross-border e-commerce exports. By advancing logistics performance, especially in areas lagging behind, there is an opportunity to not only enhance trade but also to level the playing field within the RCEP. This study underscores the critical importance of developing cohesive and efficient logistics systems to support the burgeoning e-commerce sector, thereby fostering economic growth and deeper regional integration within the RCEP framework.

Order-Fulfillment Coalitions in a Hybrid E-Commerce Platform: Myopic versus Farsighted Stability

This paper considers the order-fulfillment coalitions among an e-tailer and two third-party sellers in a hybrid e-commerce platform. The e-tailer uses a self-supported logistics system to fulfill the orders, and the seller can either use the former or turn to third-party logistics systems. By investigating the equilibrium order quantities, the strong preference relations, and the possible deviations for all the possible coalition structures, we discuss both myopic stability and farsighted stability for all the coalition structures. We find that if economies of scale are absent, fulfilling the orders independently is unique Nash stable and farsightedly stable; however, if alliances generate economies of scale, there may not exist Nash stable, but the farsightedly stable outcome always exists, which further depends on the interaction between the e-tailer’s order-fulfillment cost advantage and economies of scale. Further discussions on extremely high economies of scale and the proportional commission fee are also conducted.