Logistics Research Articles

Parenting, Cultural Capital, and COVID-19: The Role of Parental Support for Latiné First-generation College Students

Caregivers and families play a pivotal role in students’ college decision-making and ability to develop cultural capital (Carey, 2016). Although the deleterious effects of the COVID-19 pandemic required shifts and adjustments to parenting strategies, it is less clear how COVID-19 impacted parental support for emerging adults, particularly Latiné first-generation college students (FGCS). The current study used a qualitative, longitudinal method to examine how parental support informs cultural capital (Yosso, 2005) and whether it changed due to the pandemic for six (6) Latiné FGCS attending a medium-sized private university in the Midwest region of the United States. Interpretative phenomenological analysis revealed that Latiné FGCS caregivers fostered college-going familial capital, which facilitated the development of forms of cultural capital (aspirational and navigational capital) both before and after the transition to remote learning. Post pandemic, caregivers provided additional logistical and practical support related to students navigating physical space. Findings provide novel insight on the role caregivers provided Latiné FGCS at the onset of the pandemic. Strategies for how universities can engage caregivers and families in order to support Latiné FGCS is discussed.

Leveraging Artificial Intelligence in Supply Chain Execution in E-commerce

Modern perspective of consumer satisfaction has changed due to the proliferation of online businesses. E-commerce has opened up a whole new world to the consumers. The consumers can now get what they want, when they want, delivered at their doorstep. While the ease of online shopping has increased consumerism and consumer demand, it poses significant challenges for the e-commerce players as the consumers are seldom willing to shell out money for availing the convenience of doorstep deliveries. Under such circumstances, the e-commerce players are left with little choices but to significantly enhance their supply chain efficiencies through the improvement of logistics and the delivery services they offer to their customers. Artificial Intelligence or AI, as it is popularly known, is altering the ways and means of these e-commerce businesses. It is changing the manner in which supply chains are managed. Through the use of smart algorithms, data analysis, and automation, it is possible for businesses to employ AI effectively for the optimization of their supply chain management involving inventory and logistics management, demand forecasting, and customer service. This article focuses on logistics management and the application of AI to optimize costs and efficiency in first mile, middle mile and last mile delivery.

Improving the Efficiency of Logistics Activities: Current Situation and Prospects

By looking at recent changes, strategic initiatives, and logistics performance indicators, the study examines Uzbekistan's logistics industry. There is a knowledge vacuum about these measures' efficacy in a worldwide setting. The study employs analytical and functional-structural techniques to pinpoint the main elements influencing Uzbekistan's logistics operations' effectiveness, such as infrastructure development, digitization, and multimodal transport system integration. The results show that digital innovation and infrastructural improvements have enhanced logistics performance and international ranking; yet, there are still issues with maximizing operational effectiveness and service quality. This study offers policymakers guidance for creating effective logistics frameworks by indicating that specific enhancements to Uzbekistan's logistics procedures and international collaborations can promote sustained economic growth in the country.

Analysis of Spatial Agglomeration Characteristics of Logistics Enterprises in Henan Province based on Poi

As an important industry connecting urban and rural areas and serving production and life, logistics enterprises, as the micro-foundation of the development of logistics industry, have a profound impact on the spatial reconstruction of regional economic and social development. National Development and Reform Commission issued the "Fourteenth Five-Year Plan" modern logistics development and "Fourteenth Five-Year Plan" modern circulation system construction planning "put forward new requirements for the development of logistics industry, emphasizing the optimization of logistics spatial layout and speed up the construction of national logistics hub, especially pointed out that to make up for the shortcomings of the central and western regions. As an important base for the development of China's logistics industry, the spatial layout of logistics enterprises in Henan province not only affects the high-quality development of the logistics industry in the province, but also plays an important role in the improvement of the national logistics network. In this paper, based on POI data, the mean nearest neighbor method, local Moran scatter plot analysis and kernel density visualization technology are used to analyze the spatial agglomeration characteristics of logistics enterprises in 157 counties in Henan Province. It is found that the spatial distribution of logistics enterprises in Henan Province has gradually evolved from multi-point dispersion to a single-core and multi-core collaborative model with Zhengzhou as the core, and presents a significant spatial positive correlation and agglomeration trend. This change has improved the logistics efficiency and promoted the strengthening of regional economic ties. At the same time, the agglomeration trend of logistics enterprises in Henan Province continues to strengthen, from the initial agglomeration in the core area to the diversified diffusion pattern, showing the continuous optimization and reconstruction of logistics network in the province.

A novel multi-model feature generation technique for suicide detection

Automated expert systems (AES) analyzing depression-related content on social media have piqued the interest of researchers. Depression, often linked to suicide, requires early prediction for potential life-saving interventions. In the conventional approach, psychologists conduct patient interviews or administer questionnaires to assess depression levels. However, this traditional method is plagued by limitations. Patients might not feel comfortable disclosing their true feelings to psychologists, and counselors may struggle to accurately predict situations due to limited data. In this context, social media emerges as a potentially valuable resource. Given the widespread use of social media in daily life, individuals often express their nature and mental state through their online posts. AES can efficiently analyze vast amounts of social media content to predict depression levels in individuals at an early stage. This study contributes to this endeavor by proposing an innovative approach for predicting suicide risks using social media content and machine learning techniques. A novel multi-model feature generation technique is employed to enhance the performance of machine learning models. This technique involves the use of a feature extraction method known as term frequency-inverse document frequency (TF-IDF), combined with two machine learning models: logistic regression (LR) and support vector machine (SVM). The proposed technique calculates probabilities for each sample in the dataset, resulting in a new feature set referred to as the probability-based feature set (ProBFS). This ProBFS is compact yet highly correlated with the target classes in the dataset. The utilization of concise and correlated features yields significant outcomes. The SVM model achieves an impressive accuracy score of 0.96 using ProBFS while maintaining a low computational time of 5.63 seconds even when dealing with extensive datasets. Furthermore, a comparison with state-of-the-art approaches is conducted to demonstrate the significance of the proposed method.

Study on the Level Measurement and Spatial Distribution of Comprehensive Competitiveness of Logistics Industry in Henan Province

This paper takes the 18 cities in Henan Province as the research object, combining their relevant data in 2022, and conducts a comparative study on the comprehensive competitiveness indicators of logistics industry in Henan Province through factor analysis method. Starting from the three dimensions of infrastructure level, economic benefits, and development scale, this paper explores the level of comprehensive competitiveness of logistics industry in Henan Province and explores the spatial distribution characteristics of comprehensive competitiveness through spatial trend analysis and natural breakpoint method. And it puts forward corresponding improvement strategies.

Automatic Scheduling Method for Customs Inspection Vehicle Relocation Based on Automotive Electronic Identification and Biometric Recognition

This study presents an innovative automatic scheduling method for the relocation of customs inspection vehicles, leveraging Vehicle Electronic Identification (EVI) and biometric recognition technologies. With the expansion of global trade, customs authorities face increasing pressure to enhance logistics efficiency. Traditional vehicle scheduling often relies on manual processes and simplistic algorithms, resulting in prolonged waiting times and inefficient resource allocation. This research addresses these challenges by integrating EVI and biometric systems into a comprehensive framework aimed at improving vehicle scheduling. The proposed method utilizes genetic algorithms and intelligent optimization techniques to dynamically allocate resources and prioritize vehicle movements based on real-time data. EVI technology facilitates rapid identification of vehicles entering customs facilities, while biometric recognition ensures that only authorized personnel can operate specific vehicles. This dual-layered approach enhances security and streamlines the inspection process, significantly reducing delays. A thorough analysis of the existing literature on customs vehicle scheduling identifies key limitations in current methodologies. The automatic scheduling algorithm is detailed, encompassing vehicle prioritization criteria, dynamic path planning, and real-time driver assignment. The genetic algorithm framework allows for adaptive responses to varying operational conditions. Extensive simulations using real-world data from customs operations validate the effectiveness of the proposed method. Results indicate a significant reduction in vehicle waiting times—up to 30%—and an increase in resource utilization rates by approximately 25%. These findings demonstrate the potential of integrating EVI and biometric technologies to transform customs logistics management. Additionally, a comparison against state-of-the-art scheduling algorithms, such as NSGA-II and MOEA/D, reveals superior efficiency and adaptability. This research not only addresses pressing challenges faced by customs authorities but also contributes to optimizing logistics operations more broadly. In conclusion, the automatic scheduling method presented represents a significant advancement in customs logistics, providing a robust solution for managing complex vehicle scheduling scenarios. Future research directions will focus on refining the algorithm to handle peak traffic periods and exploring predictive analytics for enhanced scheduling optimization. Advancements in the intersection of technology and logistics aim to support more efficient and secure customs operations globally.

Beyond the Bullet Proof Vest: Untold Stories of Philippine National Police Special Action Force (PNP SAF) Commandos

The ever-changing demographics of society, the rise in terrorism and its complexity, as well as agitations, violent protests, a variety of political activities, left-wing terrorism, insurgency, and militancy, as well as the enforcement of economic and social laws, have all contributed to the difficulty of achieving the peaceful society that we all desire. This study explored the lived experiences of Philippine National Police-Special Action Force (PNP-SAF) Commandos in Negros Island, Philippines through a qualitative research method. The participants of this study were the selected ten (10) PNP-SAF commandos. Four (4) participants were subjected to individual in-depth interviews, while the other six (6) participants were subjected to a focus group discussion. The findings of this study are described in emergent themes. Six (6) emergent themes described the positive and negative experiences of the participants in the implementation of counterterrorism programs. For the positive experiences, three (3) emergent themes were developed, namely: Personal Satisfaction and Job Fulfillment, Recognition from the Community, and Influence on Community Peace and Order. For the negative experiences, three (3) emergent themes were also developed, namely: Financial Constraints and Limited Resources, Familial Longings while on Mission, and Infiltration in Hotspot Areas. Meanwhile, two (2) emergent themes were formulated to explain how the participants address the challenges encountered in the implementation of counterterrorism programs, namely Coordination and Collaboration with Other Agencies and Community Engagement and Trust-Building Programs. Finally, two (2) emergent themes were created to express the aspirations of the participants to improve the implementation of counterterrorism programs, namely Continuous Training and Skills Development and Adequate Financial and Logistical Support. Based on the emergent themes identified, it is recommended that the PNP-SAF commandos be exposed to continuous training and ongoing collaboration between agencies and partners to ensure an efficient response to counterterrorism and counterinsurgency incidents. By allocating an appropriate budget and implementing the requisite enhancement training and programs, the SAF commandos may be able to increase their effectiveness in implementing these initiatives.

Future of Earthquake-Based Disaster Logistics and Futuristic Approaches

Disasters that occur in the world can be caused by natural as well as human-induced factors. These disasters cause damage to cities, villages, and inhabited areas, and also result in loss of life and property. Accurately and effectively planned disaster logistics management activities are crucial during these moments when life comes to a halt. Today, it is evident that cities suffer damage or even face extinction due to deficiencies in planning, coordination, and opportunities within these practices. To mitigate the consequences of disasters and minimize damage, it is essential to always be prepared for such events and manage them well before, during, and after they occur. Disaster logistics practices should be dynamic and tailored to the specific event, suitable for addressing the situation at hand. Each disaster requires a unique set of solutions that depend on the area and geography affected. Therefore, disaster logistics must adopt and develop new approaches with a sustainable perspective. Given that earthquakes are among the disasters that occur frequently in our country, there is a critical need to create earthquake-based disaster management and action plans. Looking at disaster logistics from a futuristic perspective, it is clear that digital transformation technologies can have a significant and beneficial impact, making disaster logistics services more efficient, innovative, and solution oriented. The study conducted a literature review within the framework of qualitative research methodology, providing a detailed analysis of the role of digital transformation technologies in earthquake logistics processes. The literature review was conducted by reviewing relevant academic articles, reports, books, and scientific research. Special emphasis was placed on studies published in the last 10 years, focusing on the intersection of disaster logistics and digital transformation technologies.

THE INFLUENCE OF SERVICE QUALITY, PRICE PERCEPTION, AND PRODUCT QUALITY FROM PT KERETA API INDONESIA (PERSERO) ON CUSTOMER SATISFACTION AT PT BUKIT ASAM, TBK

This study examines the factors influencing customer satisfaction of PT Bukit Asam, Tbk regarding the services and products provided by PT Kereta Api Indonesia (Persero) for coal transportation. Customer satisfaction is analyzed based on three key factors: service quality, price perception, and product quality, specifically in transporting coal from the Tanjung Enim Mining Unit to Tarahan Port and Kertapati Pier, which accounted for 32,423,156 tons transported in 2023. The research findings indicate that all three factors—service quality, price perception, and product quality—have a positive and significant effect on customer satisfaction. The contribution of this research is twofold: it provides insights into the direct impact of these factors on corporate customer satisfaction and offers practical recommendations for PT Kereta Api Indonesia (Persero) to enhance its service performance, thereby improving its competitiveness in Indonesia's transportation and logistics sector. Future research could focus on additional factors, such as technological innovation and environmental sustainability, and investigate their influence on customer satisfaction across different industries or regions, offering broader insights into service quality improvement in the logistics industry.

The Impact of Green Logistics on the Sustainable Development of Enterprises

This study examines the importance of green logistics for the sustainable development performance of enterprises. It analyzes the connotation and application of green logistics, the significance of corporate sustainable development, and the relationship between the two, to clarify the decisive influence of green logistics in contemporary enterprises. At the same time, it points out the existing problems in the development process of green logistics from multiple perspectives, indicating that the further development of green logistics requires the efforts and cooperation of enterprises, governments, and multiple parties in the supply chain. Following this positioning, several conceptual solutions are proposed, such as the innovation and sustainable utilization of green technology and green management in logistics, and the government's role as a third party in regulating the application of green logistics. The research results have theoretical significance, highlighting the impact of green logistics on corporate sustainable development and the important role of the government in sustainable development. The practical significance includes improving corporate sustainable development performance indicators in the technical and management dimensions, in order to further improve the organization's sustainable operations and behavior.

Research on Practical Teaching Reform of Logistics Management Major in Vocational Undergraduate Colleges under the OBE Concept

With the rapid development of the social economy and technology, logistics enterprises have gradually undergone digital transformation to adapt to the trends of the era. To meet the demand for logistics management talents in society, logistics management majors in vocational undergraduate colleges have begun to continuously strengthen their teaching staff and teaching quality, establish practical training bases and other reform explorations, aiming to cultivate compound and application-oriented logistics industry talents. This article briefly introduces the connotation of the OBE education concept, analyzes the existing problems in the practical teaching of logistics management major, and proposes some strategies for the reform of practical teaching of logistics management major, for reference only by relevant personnel.

Enhancing Student Services at Sekolah Tinggi Manajemen Pariwisata dan Logistik Lentera Mondial: A SWOT Analysis

This study aims to analyze the student service system at the Lentera Mondial College of Tourism and Logistics Management using qualitative methods and SWOT analysis. This research identifies strengths, weaknesses, opportunities, and threats to improve student satisfaction and academic experience. Key findings include comprehensive academic support, technology integration, culturally responsive services, and alignment with industry. However, there are limitations in accessibility, communication gaps, resource constraints, and obstacles in seeking support. Recommendations include digital bridges, strengthening communications, and optimizing resource allocation to improve student services and overall satisfaction.

Optimizing Transportation Logistics for Cost Efficiency in a Garment Factory: A Linear Programming Approach Using LINDO

The garment industry in Bangladesh plays a pivotal role in the nation's economy, yet it faces significant challenges in optimizing transportation logistics to minimize costs and enhance efficiency. This paper uses linear programming techniques to negotiate the optimization of transportation logistics in a garment factory located in Gazipur, Bangladesh. The primary objective is to develop an optimized transportation plan that reduces costs while satisfying supply and demand constraints across multiple suppliers, production facilities, and distribution centers. The study formulates the transportation problem as a linear programming model and employs the simplex method to determine the optimal solution. LINDO software is utilized for model implementation and optimization. The model incorporates real data from the garment factory, including supply capacities, demand requirements, and transportation costs. Results from the LINDO optimization reveal a detailed transportation plan that minimizes total transportation costs, demonstrating significant cost savings compared to existing practices. The optimized plan improves operational efficiency and provides a robust decision-support tool for logistics managers. Sensitivity analysis is conducted to ensure the model's robustness under varying conditions. The methodologies and findings are scalable and adaptable to other industrial settings, offering valuable insights for enhancing logistical efficiency in the garment industry. The study also highlights potential areas for future research, including integrating environmental considerations and advanced optimization techniques. Through this research, the garment factory in Gazipur can achieve substantial cost reductions and operational improvements, enhancing its competitiveness in the global market.

Evaluating the Availability and Accessibility of Agricultural Extension Services Under the Single Spine System in Uganda. A Case of Smallholder Crop Farmers in Buhweju District

Purpose: This study evaluated the availability and accessibility of agricultural extension services under the Single Spine System, with a specific focus on smallholder crop farmers in Buhweju District. Methodology: The study adopted a mixed-methods approach, employing both quantitative and qualitative data collection techniques. Structured questionnaires were administered to a sample of 393 smallholder crop farmers and key informant interviews with district agricultural officers and extension workers provided in-depth insights into the delivery of services. Findings: The results indicate that education was positively and significantly (P<0.01) associated with knowledge about the availability of extension services. Farmers with more years of schooling had a greater likelihood of being aware of extension providers. Similarly, larger households with more labor resources (median size = 4) had better access to extension services. Moreover, household land size (median = 3 acres) and income (median = UGX 250,000) were significantly correlated with both availability and access to extension services, with wealthier farmers seeking more information to improve agricultural productivity. The study also revealed that proximity to extension service centers was a critical factor; households closer to sub-county offices (median distance = 1.5 km) had higher knowledge of available services. Access to credit and group membership were also major determinants of both awareness and access to extension services. Challenges were also identified, including limited outreach by extension officers, inadequate allowances, and insufficient logistical support for field officers. Unique Contribution to Theory, Policy and Practice: The study recommends increased sensitization efforts using local leaders, social media, and community networks, alongside greater support for sub-county agricultural officers to ensure effective service delivery.

Smart Logistics Facing Industry 5.0: Research on Key Enablers and Strategic Roadmap

While Industry 4.0 has played a significant role in advancing smart logistics, it has yet to provide adequate solutions for widespread concerns such as human centricity, sustainability, and resilience. The emergence of Industry 5.0 addresses and complements these shortcomings of Industry 4.0. However, there is currently a notable gap in the research regarding how Industry 5.0 can drive the transformation of smart logistics. To address this gap, this study develops a strategic roadmap that offers a solution to this issue. The research is initiated by conducting a comprehensive literature review with a focus on content, identifying 13 key enablers crucial for realizing smart logistics in Industry 5.0. Subsequently, this study establishes the hierarchical relationship among these key enablers through the application of the Fuzzy Interpretative Structural Model (FISM). Following this, the study employs the Matrices Impacts Croises-Multiplication Appliance Classement (MICMAC) to compute the driving force and dependence of each enabler. The results underscore the significant roles of “Active support from the government” and “Human-centric manufacturing and logistics” as the most critical enablers for Industry 5.0. The strategic roadmap, informed by expert opinions, provides valuable insights for policymakers and implementers while explaining the methods and strategies needed to drive Industry 5.0 transformation in smart logistics. Furthermore, it determines the impact relationship between enablers and the optimal development order, facilitating their synergistic alignment. Ultimately, this strategic roadmap serves as an actionable guide for the logistics industry, steering it toward achieving smart logistics and fortifying competitiveness in the industry 5.0 era.

Sustainable logistics development strategy based on SWOT and analytic hierarchy process.

Due to the implementation of sustainable green development strategy, the study uses the competitive situation method and analytical hierarchy process of logistics enterprises to conduct structural analysis and weight calculation of factor indicators for their development strategies. Afterwards, the exponential smoothing prediction method was used to weight the logistics data. Moreover, through comparative analysis of the indicator evaluation system, the average weights of the advantageous factors of logistics enterprises were found to be 0.0232, 0.1102, 0.0522, and 0.0468, respectively. The energy consumption, transportation volume, and turnover of logistics transportation increased by 68.9% and 52.3% in 2022, respectively, which had a significant impact on the sustainable development of the logistics industry. It has been demonstrated that a sustainable logistics development strategy based on the enterprise competitive situation method and the analytic hierarchy process is both feasible and superior. Furthermore, this strategy has the potential to enhance the environmental benefits and green development of the economy and society.

New trends in the home logistics management model in urban contexts

With the majority of goods delivered ending up in city centers, last mile logistics is known to be the least efficient stage of the supply chain, comprising up to 28% of the total delivery cost. The main objective was to determine how the use of autonomous transportation technologies changes the home logistics management model. Positivist paradigm research, with quantitative method and descriptive-correlational approach, field research and non-experimental-transversal design. The sample was 28 courier companies, with at least one year of experience and a plant that includes at least five (5) full-time workers. The survey technique is used, using a collection instrument with a Likert-type scale. The results suggest that in general terms, the dimension that characterizes the state of implementability of new trends in the package logistics management model is present in this study. In the current context, companies are not yet at the maximum point of possibilities in terms of the implementation of new trends, if there is a will of the union to adapt every component that supports or optimizes the operation, for which there is a margin of opportunity . for the adaptation of these in the local context.

Evaluation of Shanghai's Logistics Level from the Perspective of High-quality Development

The thesis evaluates the logistics level of Shanghai by constructing the evaluation indexes of Shanghai logistics level under the perspective of high-quality development, setting up five first-level indexes and corresponding nine second-level indexes, adopting the data of Shanghai Municipal Bureau of Statistics from 2005 to 2022, and evaluating the logistics level of Shanghai by utilizing the factor analysis method to find out the factors that have the most influence on the high-quality development of the logistics level of Shanghai, i.e., the factor of logistics infrastructure and the factor of logistics innovation ability. factor, focusing on these two factors to make countermeasures and suggestions for Shanghai's logistics industry, pointing out the shortcomings of the thesis and the future outlook.

Maritime Supply Chain Optimisation: A Case Study of Blockchain Integration in Port Logistics Management

This research examines the potential for maritime supply chain optimisation through the integration of blockchain technology in port logistics management. In the era of global digitalisation, the maritime sector faces challenges to improve operational efficiency and transparency. This study uses a case study approach to evaluate the implementation of blockchain in one of Indonesia's major ports. The research methodology involved qualitative and quantitative analyses, including interviews with key stakeholders, direct observation of logistics processes, and analysis of historical port operational data. The blockchain system was implemented over a six-month period, and its performance was compared with conventional logistics management systems. Key challenges identified include the need for a large initial investment, resistance to change from some stakeholders, and the need for industry-wide standardisation of blockchain protocols. This research demonstrates the great potential of blockchain technology in optimising maritime supply chains. Recommendations for further implementation and future research are discussed, with an emphasis on the importance of industry collaboration and regulatory support to accelerate the adoption of this technology in the maritime sector.