Logistics Network Research Articles

A data-driven hybrid scenario-based robust optimization method for relief logistics network design

A data-driven hybrid scenario-based robust optimization method for relief logistics network design

AI-driven cyber threat detection for global logistics in United States

The integration of AI-driven cybersecurity systems is increasingly essential to the security and efficiency of global logistics operations in the United States. This thematic analysis investigates the major themes, challenges, and opportunities of AI in logistics cybersecurity, focusing on its effectiveness in threat detection and prevention, diverse applications, and implementation challenges. AI has been shown to significantly enhance threat detection, reducing response times by up to 65%, and proactively preventing cyber threats through predictive analytics. Key applications include AI-driven network monitoring, endpoint security, and supply chain risk management, each contributing to the overall resilience of logistics networks. However, several challenges hinder the widespread adoption of AI, including high initial costs, integration issues with legacy systems, and a shortage of skilled professionals. Additionally, regulatory compliance and ethical considerations, such as data privacy and transparency, must be addressed to ensure responsible deployment. Despite these barriers, empirical evidence highlights AI’s potential to revolutionize logistics cybersecurity, offering faster threat detection, reduced vulnerabilities, and more secure operations. Overcoming adoption challenges requires a concerted effort from industry stakeholders, with a focus on workforce development, regulatory adherence, and ethical AI practices. Future research should explore strategies to address these challenges, ensuring the full potential of AI in enhancing the security and efficiency of global logistics operations.

GESTÃO DE OPERAÇÕES LOGÍSTICAS: ANÁLISE E DISCUSSÃO DOS DESAFIOS DAS EMPRESAS NA ATUALIDADE NA CONCILIAÇÃO ENTRE AS OPERAÇÕES LOGÍSTICAS E O ATENDIMENTO EFICAZ DOS CLIENTES

The transformations in consumer consumption patterns have made it necessary for companies to adapt to this scenario, especially with regard to structuring an assertive and effective logistics network. Therefore, this article sought to present and discuss the main trends and practices adopted by the logistics sector in the post-pandemic context, as a consequence of changes in consumer profiles and the growing focus on offering consumer experiences that satisfy and retain customers, enabling business sustainability.

Shipping Logistics Network Optimization with Stochastic Demands for Construction Waste Recycling: A Case Study in Shanghai, China

In this paper, we introduce a shipping logistics network optimization method for construction waste recycling. In our case, construction waste is transported by a relay mode integrating land transportation, shipping transportation, and land transportation. Under the influence of urban economic life, the quantity (demand) of construction waste is uncertain and stochastic. Considering the randomness of construction waste generation, a two-stage stochastic integer programming model for the design of a shipping logistics network for construction waste recycling is proposed, and an accurate algorithm based on Benders decomposition is presented. Based on an actual case in Shanghai, numerical experiments are carried out to evaluate the efficacy of the proposed model and algorithm. Based on an actual case study in Shanghai, numerical experiments demonstrate that the proposed model can help to reduce transportation costs of construction waste. Sensitivity analysis highlights that factors like the penalty for untransported waste and capacity constraints play a crucial role in network optimization decisions. The findings provide valuable theoretical support for developing more efficient and sustainable logistics networks for construction waste recycling.

Global logistics networks as an imperative for the sustainable development of the world economy

Global logistics networks as an imperative for the sustainable development of the world economy

Optimization of Reverse Logistics Network for Electric Vehicle Used Battery under Direct Collection Mode of Manufacturer Based on New Energy Low-carbon Background

As the concept of low-carbon travel gradually takes root in the public's mind, the production and sales of electric vehicles are steadily climbing, and due to the limited service life of electric vehicle power batteries, they will be gradually eliminated and replaced. Enhancing the recycling infrastructure for used electric vehicle batteries and developing a systematic and efficient reverse logistics framework is crucial for advancing the sustainability, cost-effectiveness, and operational efficiency within the electric vehicle sector. This paper firstly analyses the direct collection battery recycling mode of the manufacturer, and on this basis, constructs the optimization model of the reverse logistics network of used batteries, as well as the dual objective optimisation model of total network cost minimisation and carbon emission minimisation. Finally, based on relevant data from C Electric Vehicle Manufacturing Company, an example analysis is carried out to derive its optimal solution for the reverse logistics network of used batteries for electric vehicles in Beijing. The research in this paper has a positive effect on reducing the reverse logistics costs of related enterprises and reducing environmental pollution, thus helping to realize the green ecological development of the electric vehicles industry.

Analysis and Optimization of the Value Chain of H Logistics Company

This paper studies the current situation, problems, and optimization strategies of the value chain of H Logistics Company. With the gradual development of the logistics industry, its status has been continuously improved, and value chain optimization has become an important means to enhance the competitiveness of logistics enterprises. Based on the value chain theory proposed by Michael Porter, this paper comprehensively analyzes the core links of H Logistics Company such as procurement, warehousing, transportation, and distribution, finds out its problems in supplier management, warehousing resource allocation, transportation cost control, and service quality improvement, and proposes targeted optimization measures. In the procurement link, H Logistics Company has problems with a supplier evaluation system, poor cost control, and lagging in information construction. It is recommended that a supplier rating mechanism be introduced, refined expense management be strengthened, and information on the procurement process be promoted. In the warehousing link, low resource utilization, poor classification management efficiency, and insufficient technical investment are the main problems. Countermeasures such as optimizing warehouse layout, adopting intelligent sorting equipment, and strengthening employee training are proposed. In the transportation and distribution link, the company has shortcomings in logistics network planning, vehicle scheduling, and service quality. It is recommended to improve it through intelligent path optimization, dynamic allocation of transportation capacity, and promotion of green logistics. This study not only provides a specific path for H Logistics Company to improve operational efficiency but also provides a direction for value chain management in the logistics industry. Optimizing the value chain can not only improve the internal operational efficiency of the enterprise but also achieve cost savings, improved customer satisfaction, and enhanced competitiveness in the market environment, laying the foundation for the sustainable development of the logistics industry.

Optimizing Medical Goods Transportation Through Advanced Logistics Networks

Optimizing Medical Goods Transportation Through Advanced Logistics Networks

Cognitive trajectories and their relationships with education and diets among older adults: a network-based 10-year cohort study.

Few studies have examined the underlying mechanisms of education, diets, and cognitive function in older adults. This study analyses the relationship between cognitive trajectories, education, and different dietary patterns in older adults from a network perspective, and further explores their longitudinal associations and mediation effects. Data on cognitive trajectories were derived from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) between 2008 and 2018. Group-Based Trajectory Model (GBTM) was used to identify potential heterogeneity in the longitudinal changes in cognitive function. Multinomial logistic regression and network analysis were then applied to examine the relationships between different cognitive trajectories and years of education, food variety (FV), and plant-based dietary patterns. Cross-lagged panel model was used to examine the longitudinal associations between education, FV, and plant-based diet patterns. Furthermore, we constructed a mediation model based on categorical variables for cognitive trajectories to investigate the mediating effect of FV and plant-based diet index on education and cognitive. A total of 2,115 older adults were included in this study, revealing three distinct cognitive function trajectories. After controlling for potential confounders, education and dietary-related variables were associated with a cognitive stable decline trajectory (OR: 0.857/0.929/1.027) and a cognitive rapid decline trajectory (OR: 0.859/0.914, 95% CI: 0.775-0.882) compared to the cognitive stable trajectory. In the education, diet, and cognition network model, overall Plant-Based Diet Index (PDI) [expected influence (EI) = 1.82] and years of education (EI = 0.54) were the most central domains. There were longitudinal associations between education, FV, and plant-based dietary patterns, which were significant only in the slow decline group. FV acting as a mediator between education and cognitive trajectories. Years of education are longitudinally associated with the diet of older adults in the slow cognitive decline group. Food diversity partially mediates the relationship between years of education and cognitive trajectories. Interventions targeting education and dietary behaviors may help alleviate cognitive decline in older adults.

Multi-echelon reverse logistics network design in the context of circular economy: a Hong Kong case study

The management of construction and demolition waste (CDW) is emerging as a significant global challenge. Traditional methods such as direct landfill and incineration fail to handle the vast amount of CDW properly, resulting in serious social and environmental issues. In this context, the construction industry has increasingly recognized the importance of CDW recycling and recovery. Consequently, construction industry leaders are advocating for development of reverse logistics networks for multiple types of CDW by solving a multi-objective mixed-integer linear programming model, which aims to restore waste for new structures toward circular economy. This model reduces landfill waste and maximizes the value of CDW, while minimizing total cost and negative environmental impact by integrating with the government under uncertainties to encourage sustainable management of CDW. A real-world case study from Hong Kong is conducted to examine and validate the practicability of the proposed model. Experimental results show that transportation activities have a significant impact on the reverse logistics network design since they are costly and generate the largest share of carbon emissions. In addition, a regulatory mechanism, i.e., setting carbon emission caps, proves effective in balancing facility workload and improving the utilization of underutilized facilities. The results also indicate that the proposed reverse logistics network is capable of adapting to costly transportation scenarios by prioritizing facilities with higher operational costs but lower transportation expenses.

Application Status and Development Trend of Intelligent Storage Based on Digital Twin Technology

In recent years, with the economic development and scientific and technological progress, industrial automation technology in the production process is more and more widely used, especially the development of computer technology makes it become an important part of industrial production automation. In this context, the concept of "intelligent warehousing" has also been put forward. Intelligent warehousing is a process that integrates all kinds of intelligent equipment into the logistics system by using modern information and communication technology, to realize supply chain management and improve the efficiency of the logistics system. It mainly includes logistics system software, network equipment, sensors, control software, and intelligent hardware.

The Influence of E-Commerce on the Logistics Network in the Salem Region

The Influence of E-Commerce on the Logistics Network in the Salem Region

Available land for cellulosic biofuel production: a supply chain centered comparison

Abstract The land that is potentially available to produce dedicated cellulosic bioenergy crops, often referred to as ‘marginal’ land, depends heavily on the underlying assumptions used to classify and identify it. In this study we compare three definitions and types of marginal land to identify the interactions between the bioenergy landscape and the logistics networks needed for the biofuel supply chain. Typical studies of the scale, cost, and greenhouse gas (GHG) mitigation potential of cellulosic biofuel take a land-centered approach which may neglect to account for the trade-offs between establishing bioenergy crops and the supply chain design decisions needed to allow those crops to be converted to liquid fuel. A mathematical programming approach is used to minimize the total annualized cost of a large-scale field-to-product system producing bioethanol in the USA midwest. Results show that a high concentration of marginal land leads to efficient systems and that the bioenergy landscape design becomes increasingly important with a higher emphasis on GHG mitigation. Additionally, targeted landscape design (including fertilization) with a focus on fields with high soil carbon sequestration potential can greatly reduce the system-wide GHG emissions for only a small increase in the unit cost of biofuel.

Simulation and comparative analysis of the change of land logistics network configuration in the new western land-sea corridor

Simulation and comparative analysis of the change of land logistics network configuration in the new western land-sea corridor

Optimizing Two-Echelon Logistics Network for Urban Logistics by LRP Heuristics with integrated Microscopic Transport Simulation

Optimizing Two-Echelon Logistics Network for Urban Logistics by LRP Heuristics with integrated Microscopic Transport Simulation

Assessing economic uncertainty in dynamic reverse logistics networks – A stochastic modeling approach for planning circular battery treatment

Assessing economic uncertainty in dynamic reverse logistics networks – A stochastic modeling approach for planning circular battery treatment

Pharmaceutical logistics network planning considering low-carbon policy and demand uncertainty

Pharmaceutical logistics network planning considering low-carbon policy and demand uncertainty

Logistic-information system based on object-oriented approach

The article deals with the issue of creating an information system through an object-oriented approach, which is suitable for ensuring an efficient and properly functioning logistics network. An object-oriented approach to the creation of a business information system pays attention to a set of cooperating objects and reacts more flexibly to events in the environment. The main effort within the object-oriented approach is the reuse of created objects for a new system, which significantly contributes to shortening the development of new systems. For this fact and based on practical experience, the mentioned approach was chosen by the authors of the article. The overall design and functionality of the information system were influenced by the strategic direction of the company, which was also necessary to consider when preparing the article. In the end, a comparison of specific and object-oriented approaches to the creation of information systems for the company is processed.

Analysis on Management Strategies and Digital Transformations with the Help of Web Tracking Tools at DTDC, Bangalore

This study examines how DTDC, a leading logistics and courier company, has utilized web tracking tools to implement digital transformation strategies. The paper explores the integration of management strategies with cutting-edge digital tools to enhance operational efficiency, customer satisfaction, and decision-making. By analysing the role of web tracking systems, this paper sheds light on their impact on organizational agility, data-driven culture, and market competitiveness. The evaluation of digital transformers with web tracking practices are crucial due to the city's role as a major commercial hub in India, characterized by high volume shipping demands and complex logistics networks. Web tracking strategies in this region are imperative for maintaining timely delivery schedules, optimizing inventory turnover, and minimizing operational costs. This study delves into the various aspects of chi square tools examining how strategies such as layout optimization, technological integration, workforce management, and supply chain coordination contribute to enhancing organizational efficiency. Keywords: Digital Transformation, Web Tracking Tools, Management Strategies, DTDC Logistics, Operational Efficiency, Customer Experience, Data Analytics.

Designing a humanitarian relief logistics network considering the cost of deprivation using a robust-fuzzy-probabilistic planning method

This study addresses deprivation costs in humanitarian logistics by incorporating direct and indirect impacts into a robust-fuzzy-probabilistic framework to optimize resource allocation and minimize delays in disaster response. This model has concepts such as facility location and optimal flow allocation. The results show that with the increase in the uncertainty rate and as a result of the increase in the number of people affected by the accident and the demand for relief items at the scene of the accident, the costs related to the supply and transportation of the items and the injured have increased. Also, by examining the effect of deprivation cost on the results of the model, it was observed that with the increase of deprivation cost, the model aims to increase the goods transferred to satisfy the demand fully. Therefore, the expenses related to deprivation have decreased, but on the other hand, the costs associated with the transfer of products have increased. As a result, the cost of the entire relief logistics network has increased. Finally, by examining the effects of the weighting coefficient of the objective function on the values of the objective function of the problem, it can be seen that with the increase of this weighting coefficient, the value of the objective function has increased due to the increase in the volume of transfers of relief items.