Logistics Solutions Research Articles

An Algorithm for Consolidating Small Shipments to Reduce Costs in International Logistics for E-commerce Businesses

Purpose: This article presents an algorithm designed to optimize the consolidation of small shipments, aiming to reduce costs and improve efficiency in international logistics for e-commerce businesses. The research focuses on the highly trafficked route between China and the USA, particularly the corridor from Shenzhen to Los Angeles. Methodology: By employing a cluster-based optimization model, the algorithm consolidates goods from multiple e-commerce companies into single containers, maximizing space utilization and minimizing transportation costs. Findings: Experimental data reveals a 40% reduction in costs and a 10-day decrease in delivery times compared to traditional methods. Unique Contribution to Theory, Practice and Policy: The algorithm has the potential as a scalable solution for global supply chain logistics.

Emerging Trends in Eco-Logistics: A Review of Sustainable Practices in Szczecin (Poland) from the Residents’ Perspective

This article offers an interdisciplinary analysis of eco-friendly urban logistics in Szczecin. It includes a review of innovative ecological solutions, results from a survey on residents’ awareness and acceptance and a case study on the implementation of these solutions in Szczecin. The theoretical part discusses the latest trends in eco-logistics, emphasising urban-specific solutions. The empirical section presents survey findings and explores the practical application of eco-friendly practices in Szczecin, analysing the associated benefits and challenges. The respondents demonstrated a high level of awareness and acceptance of city logistics solutions, such as urban pick-up points and electric scooters, which indicates support for sustainable urban transport. The residents of Szczecin appreciate the practical benefits and positive environmental impact of these eco-friendly investments, which they believe enhance city life by improving air quality and mobility. This article aims to provide a detailed perspective on eco-logistics in Szczecin, focusing on both the social and practical aspects of implementing sustainable solutions.

Advances in Catalytic Hydrogenation of Liquid Organic Hydrogen Carriers (LOHCs) Using High‐Purity and Low‐Purity Hydrogen

AbstractLiquid organic hydrogen carriers (LOHCs) are emerging as a promising solution for global hydrogen logistics. The LOHC process involves two primary chemical reactions: hydrogenation for hydrogen storage and dehydrogenation for hydrogen reconversion. In the exothermic hydrogenation reaction, hydrogen‐lean compounds are converted to hydrogen‐rich compounds, storing hydrogen from various sources such as water electrolysis, fossil fuel reforming, biomass processing, and industrial by‐products. Conversely, hydrogen is extracted from hydrogen‐rich compounds through an endothermic dehydrogenation reaction and supplied to several hydrogenation utilization offtakers. This review article discusses the development trends in catalytic hydrogenation processes for various LOHC materials, including benzene, toluene, naphthalene, biphenyl‐diphenylmethane, benzyltoluene, dibenzyltoluene, and N‐ethylcarbazole. It introduces references for catalytic hydrogenation processes utilizing both high‐purity and low‐purity (alternatively, mixed) hydrogen feedstocks, with particular emphasis on low‐purity hydrogen applications. The direct storage of hydrogen with minimal purification, using by‐product hydrogen and mixed hydrogen from hydrocarbon and biomass reforming, is crucial for the economic viability of this hydrogen carrier system.

Integrating Resource-Based Theory and Contingency Theory for Enhancing Supply Chain Resilience in Malaysia: A Post-Pandemic Analysis

The COVID-19 pandemic has significantly disrupted global supply chains, exposed their vulnerabilities and underscored the urgent need for enhanced resilience. In Malaysia, the pandemic's impact on supply chains has been profound, prompting a re-evaluation of existing strategies and frameworks. This study explores the integration of Resource-Based Theory (RBT) and Contingency Theory (CT) to enhance supply chain resilience in Malaysia. Through in-depth case studies and semi-structured interviews with senior managers and supply chain professionals, this research identifies key factors contributing to the successful implementation of an integrated resilience framework. The findings reveal that firms leveraging advanced technology, skilled workforce, and strategic partnerships can maintain operational efficiency and adaptability. Context-specific strategies such as diversifying suppliers, local sourcing, strategic stockpiling, and flexible logistics solutions are essential in responding to disruptions. Common challenges include high initial costs, coordination issues, regulatory hurdles, and cultural resistance to change. The integration of RBT and CT results in improved supply chain visibility, flexibility, robustness, and stakeholder collaboration. This study contributes to the academic discourse by offering practical insights for firms seeking to enhance supply chain resilience. It underscores the importance of combining internal strengths with adaptive strategies tailored to the external environment. The findings provide valuable guidance for both academia and industry in developing more robust and adaptive supply chain strategies in the post-pandemic landscape. Future research should explore the integration of RBT and CT across different contexts and industries and investigate the role of emerging technologies in enhancing supply chain resilience.

Supply Chain Management in Smart City Manufacturing Clusters: An Alternative Approach to Urban Freight Mobility with Electric Vehicles

The development of green production types such as personalized production and shared manufacturing, which use additive technologies in city multifloor manufacturing clusters (CMFMCs), has led to an increase in last-mile parcel delivery (LMPD) activity. This study investigates the integration of electric vehicles and crowdshipping systems into smart CMMCs to improve urban logistics operations related to the distribution of products to consumers. The aim of this study is to improve the LMPD performance of these integrated systems and to provide alternative solutions for sustainable city logistics using the potential of crowdshipping and vehicle sharing fleets (VSFs) in the city logistics nodes (CLNs) of CMFMCs. The issues presented by the loading–unloading operations and sustainable crowdshipping scenarios for LMPD in CMFMCs are considered. This paper presents a new performance evaluation model for crowdshipping LMPD in CMFMCs using VSFs. The case study shows that the proposed model enables the analysis of LMPD performance in CMFMCs, taking into account their finite production capacity, and that it facilitates the planning of cargo turnover and the structure of VSFs consisting of e-bicycles, e-cars, and e-light commercial vehicles (e-LCVs). The model is verified based on a case study for sustainable LMPD scenarios using VSFs. The proposed model enables the planning of both short- and long-term logistics operations with the specified performance indicator of VSF usage in CMFMCs. The validity of using the integrated potential of crowdshipping and vehicle sharing services for LMPD under demand uncertainty in CMFMCs is discussed. This study should prove useful for decision-making and planning processes related to LMPD in CMFMCs and large cities.

Risk Management Strategy Implementation for Business Plan at Material Handling Rental Services Startup LogisMe

PT. LogisMe Berkat Bersama (LBB) is a Limited Liability Company (PT) engaged in the business of providing Business-to-Business (B2B) warehousing and logistics solutions. LogisMe has the tagline "One Stop Logistics Solutions" with end-to-end solution coverage starting from the provision of warehousing and logistics operational equipment such as forklifts, material handling and cleaning equipment, provision of spare parts and technicians in order to meet the maintenance needs of these operational equipment, warehouse racking design, warehouse and logistics operational consultant services to the provision of a digital platform for monitoring units rented by customers in real-time. This document outlines the implementation of a risk management strategy for the business plan of LogisMe, a Material Handling Rental Services startup company. The framework adopted is based on the ISO 31000:2018 standard and focuses on integrating risk manage. the report is returned to the risk mitigation supervisor to be checked that it has met the requirements and stored in the company's cloud repository, disseminated to all employees and company stakeholders. Monitoring is carried out to understand and prevent risks that occur as a strategy to gain a competitive advantage for the company.

City Logistics Solutions for CO2 Emission Reduction and Energy Efficiency: A Comparative Study of Vitoria-Gasteiz, Tartu, and Sønderborg

Modern cities face the challenge of reconciling dynamic development with environmental protection, as well as ensuring a high quality of life for their residents. In a time of continuous urbanization, with more than half of the world’s population living in cities, city logistics plays a crucial role in managing complex urban environments. As part of the concept of sustainable development, city logistics aims to minimize the negative impact of transport on the environment, while increasing operational efficiency and improving the comfort of life of residents in urban agglomerations. This article presents the results of a comparative analysis of the intensity of sustainable urban logistics development in selected cities of the European Union. It examines various strategies that reduce CO2 emissions, improve air quality, and increase building energy efficiency. The analysis demonstrates that cities investing in sustainable urban logistics not only improve their environmental performance but also increase their attractiveness and competitiveness as desirable places to live and work.

Green logistics: Transforming supply chains for a sustainable future

In the face of escalating climate change and the increasing significance of sustainability, companies are shifting towards green logistics solutions. This article explores the various sustainable practices within logistics, the implementation of green logistics solutions, and the strategies for reducing carbon footprints. The logistics sector, a significant contributor to global greenhouse gas emissions, is under increasing pressure to adopt environmentally friendly practices. By examining case studies and industry data, we provide a comprehensive analysis of the current trends and future directions in sustainable logistics. Our study highlights the importance of integrating eco-friendly transportation, energy-efficient warehousing, sustainable packaging, and advanced inventory management systems. Additionally, we discuss the challenges companies face in adopting green logistics, such as high initial costs, technological limitations, and regulatory compliance. Through this analysis, we aim to shed light on the transformative potential of green logistics in mitigating climate change and promoting long-term sustainability in the supply chain industry.

A-124 Sustainable Transport: Assessing Environmental Impact in Medical Sample Transit via Drones and Vehicles

Abstract Background This research explores the ecological implications associated with different methods of transporting medical samples, specifically focusing on drones, combustion cars, and electric cars within two laboratories in central European countries. With the primary goal of assessing and comparing CO2 consumption, delivery time, and overall environmental impact, the study aims to provide a basis for adopting sustainable practices in healthcare logistics. Methods The transportation of medical samples occurred between two laboratories in the Principality of Liechtenstein and Switzerland, utilizing authorized aerial and road routes. Various weather conditions and distances were considered for sample transports using different vehicles (8 combustion cars, two electric cars, and one drone model). Energy consumption was documented, and the CO2 footprint was calculated based on data from the Swiss Federal Office for the Environment (FOEN) for both imported and renewable electricity. Comparative analyses were conducted to quantify the environmental impact of each transportation method. Results In terms of CO2 footprint, combustion cars exhibited a CO2 release of 159.5 g/km, while electric cars showed 3.43g (2.15 to 4.08% of combustion cars). Drones demonstrated a minimal 0.09g CO2 emission per kilometer (0.066% of combustion car CO2 emission; 2.6% of electric car CO2 emission). The distance traveled by drones was significantly shorter (16.7% to 50%). Additionally, the efficiency of drone transport was emphasized by its ability to avoid traffic jams and associated detours, resulting in time savings ranging from 31.25 to 50% per delivery when comparing transport times during rush hour and regular hours in the selected setting. Conclusions The integration of drone technology emerges as a crucial strategy for establishing a “green laboratory.” The substantial reduction in CO2 emissions and enhanced delivery efficiency position drone transport as a sustainable and operationally effective solution for medical sample logistics, offering shorter delivery times. These findings highlight the potential for transformative change in healthcare logistics, aligning with the global shift towards sustainability and green practices.

Innovative Solutions for Sustainable Logistics in Food Manufacturing Industries overcome Barriers and Challenges

This paper explores innovative solutions for sustainable logistics in the food manufacturing industry, focusing on how these strategies address key challenges. It examines how advancements in technology, logistics strategies, and eco-friendly practices contribute to sustainability while maintaining efficiency and profitability. The study analyzes data from companies that have adopted modern logistics solutions, such as AI-driven optimization, renewable energy, and circular supply chain models, supplemented by expert interviews to gain practical insights. The findings reveal that these solutions help reduce carbon emissions, minimize food waste, and optimize resource use. Companies that have implemented these strategies have successfully overcome common barriers such as high costs, infrastructure complexity, and regulatory challenges. While the research focuses on large-scale manufacturers, smaller companies remain under explored, suggesting the need for future studies on scalability and policy frameworks to support wider adoption. This paper offers a unique contribution by combining current innovations in sustainable logistics with practical industry challenges, providing actionable insights for food manufacturers and laying the foundation for further research into overcoming financial and technological barriers.

The implications of blockchain for logistics operations and sustainability

Empirical studies based on detailed, theory-based analyses are essential for a deep understanding of technology adoption. This study provides an overview of blockchain applications in logistics management, employing a comprehensive theoretical framework. Blockchain is considered a critical digital infrastructure for logistics operations due to its distinctive characteristics, including decentralization, transparency, immutability, real-time information sharing, reliability, and end-to-end visibility. These characteristics address many contemporary logistics challenges. The study introduces a research model that integrates the fit-viability model (FVM) and task technology fit theory (TTF), demonstrating blockchain's suitability for enhancing logistics operational functions and sustainability performance. To validate the model, data were collected from logistics managers of 576 companies and analyzed using partial least squares (PLS) regression. This research offers valuable insights for managers, policymakers, and decision-makers on practical challenges and potential solutions in logistics through the application of blockchain. Furthermore, the study demonstrates that the implementation of blockchain can improve the alignment, resilience, transparency, integration, and sustainability of logistics tasks.

Klasterisasi Penggunaan Ban dengan Cost Per Kilometer Terendah pada PT. PL menggunakan Metode K-Means

Established in 1969, PT. Puninar has grown to become one of Indonesia's leading logistics companies. The company provides a broad range of logistics solutions through its subsidiaries, encompassing material management, manufacturing, warehousing, distribution, customs services, freight forwarding, and post-delivery operations. After fuel, tires represent the second-largest expenditure for the company. Proper tire management can reduce maintenance costs, making it a key cost-reduction strategy in the logistics sector. This study utilizes data mining techniques, specifically the K-means method, to analyze and classify tires based on travel distance and the lowest cost per kilometer, enabling monthly cost monitoring. PT. Puninar allocates approximately two billion rupiah per month for tire inventory due to its fleet of over seven hundred trucks. The company currently employs various tire brands, including Bridgestone, Doublecoin, Effiplus, Chengsang, and others, with varying levels of durability.

A Study of the Main Mathematical Models Used in Mobility, Storage, Pickup and Delivery in Urban Logistics: A Systematic Review

This systematic review investigates the main mathematical models applied in urban logistics, focusing on routing, location and transshipment problems. The study addresses the growing demand for efficient and sustainable logistics solutions driven by population growth and the expansion of e-commerce. A thorough analysis of 57 scientific articles was carried out, covering deterministic and stochastic methodologies, as well as heuristic and exact solutions. This review revealed that heuristic methods are predominant due to their computational efficiency. Combining exact methods with heuristics has proven effective for complex logistics scenarios, increasing accuracy and efficiency. Synchronization and intermediate stops have also emerged as critical factors in optimizing logistics operations. This review highlights the diversity of methodologies and the need for sustainable and efficient models. The integration of stochastic simulations remains limited, representing a research gap where stochastic models have been shown to provide more robust solutions in addressing the uncertainties inherent in logistics operations. This integration can increase the robustness and applicability of logistics solutions in urban environments. By highlighting the strengths and limitations of current approaches, it paves the way for future research to develop more robust and adaptable solutions to urban logistics challenges, emphasizing interdisciplinary collaboration and the use of real-world data.

Minimal‐cost route planning via Fibonacci‐heap‐typed data structure

AbstractEfficient route planning in transportation networks, particularly under stochastic conditions like severe weather (i.e. snow or hail), poses a significant computational challenge. This article addresses this challenge by modeling the route planning problem as a Markov decision process (MDP) problem, establishing reachability criteria, and identifying the minimum‐weight arborescence in the directed graph. To achieve this, the reachability determination algorithm is designed to assess the courier company's reachability to all junctions based on the queue‐typed data structure and breadth‐first search idea. Subsequently, the minimal‐cost route planning algorithm is developed to find a feasible transport route with the minimal cost of clearing obstacles by resorting to the Edmonds' algorithm and some feasible data structures. In particular, the article introduces a Fibonacci‐heap‐typed data structure to the minimal‐cost route planning algorithm, resulting in a remarkable reduction of the time complexity from to , where and represent the cardinalities of the arc set and nodeset, respectively. Ultimately, the proposed method is applied to optimize route planning in a transportation network, providing a cost‐efficient solution for logistics and transportation planning.

Advanced Route Optimization using Hybrid Algorithms and Road-based Distance Calculation

This study proposes a hybrid approach to route optimization, comparing and combining Genetic Algorithms (GA), Ant Colony Optimization (ACO), and Dynamic Programming (DP) to solve the Traveling Salesman Problem (TSP) and similar routing challenges. The objective is to minimize travel time and cost by incorporating real-time road data from OpenRouteService and Google Maps APIs. The hybrid algorithms are tested on large datasets, demonstrating their scalability and adaptability to real-world complexities such as fluctuating traffic conditions. Through mathematical modelling and pseudocode, the performance of each algorithm is compared, highlighting their effectiveness in optimizing logistics operations. The results indicate that this approach significantly reduces computational time and operational costs, providing a robust solution for modern logistics.

Analysing micrologistics initiatives in rural areas – Approaches to typologise and assess complex logistics solutions in regional supply networks

While demand for regional products increases and societal expectations towards a regionalisation of production are on the rise in Germany, little attention is given to the logistical challenges of local producers. At the same time, rural areas are confronted with declining supply options for goods of daily needs. Logistical challenges in rural areas are primarily caused by a scarcity of actors, low or fluctuating quantities of goods and long transport distances. A lack of economies of scale makes supply and logistics very costly. Given the rising interest and new possibilities created by digitisation, numerous private and public initiatives are developing solutions for sustainable regional logistics to secure and improve supply in rural areas - so called micrologistics solution. However, a meta-analysis of such regional logistics solutions is missing that identifies similarities and differences and indicates which characteristics are essential for the development of long-term viable regional logistics solutions.This article therefore aims at providing a general overview and at systematising current micrologistics solutions in rural regions, introducing a typology which is based on a meta-analysis of approximately 80 micrologistics initiatives in Germany and beyond. Referring to two case studies – Smart Village St. Wendel and UCKER Warentakt - we then focus analysis on solutions aiming at providing goods of daily need to the population in rural areas. We share lessons learnt on their characteristics, challenges and factors of success. This is done using a specifically developed morphological box, a viability and impact-oriented assessment framework for micrologistics initiatives as well as results of interviews with initiators and operators of such initiatives. We conclude on the usefulness of the analytical approaches developed for this new research field as well as further research needs.

Supply Chain System Optimization Model for Logistics Enterprises in the Internet of Things Era Based on Improved ECC Algorithm

In this article, a new method to optimize the supply chain system (SCS) of logistics companies in the era of Internet of Things (IoT) using an improved elliptic curve cryptography (ECC) algorithm was put forward.The focus of this research was to address the challenges faced by logistics organizations in adapting to the complexity of modern supply chains and meeting the growing demands of customers. The research aimed to improve the efficiency, security and reliability of supply chain management systems by utilizing advances in ECC algorithms.By conducting comprehensive performance tests of the proposed system, including interface testing, joggle testing, and system response time analysis, the study demonstrated the superiority of the system over traditional systems. The research findings indicated that the system based on the improved ECC algorithm outperformed traditional systems in terms of interface effectiveness, usability, and system response time. The improved ECC algorithm enhanced the security of the encryption process, making it more resistant to unauthorized access, and improved the system’s overall data processing load capacity. Additionally, the system demonstrated superior performance in managing logistics data and information, facilitating better decision-making and efficiency in logistics operations. Overall, this research contributes to the advancement of supply chain management in the IoT era by providing a practical and efficient solution for logistics enterprises to optimize their supply chain systems. The innovative application of the improved ECC algorithm offers a secure, reliable, and efficient approach to managing logistics operations, addressing the challenges posed by the complexities of modern supply chains.

Adaptation of logistics managers' competency models to industry 5.0 challenges

Radical geopolitical and geoeconomic transformations in the global economy are disrupting established economic ties and traditional routes of global commodity movement. Rapid technological changes, accelerated development of e-commerce, omnichannel strategies, and the sharing economy have contributed to increased demand for automation, robotization, and digitalization of logistics activities and supply chain management. These factors prompt the renewal and adaptation of the competencies set for logistics managers and, consequently, academic educational programs. The aim of the conducted research was to identify the impact of Industry 5.0 on the formation of the logistics personnel competency system, and to develop a new competency model considering rapid changes in technology, market conditions, consumer sentiments, and the regulatory environment. The research methodology combines theoretical analysis (theoretical generalization, analysis and synthesis, comparison, and grouping) with empirical research. As a result, existing and future trends in the logistics industry development were summarized, a comparative analysis of the competencies of logistics managers and engineers was conducted, and a tendency for their convergence under the influence of the transition from Industry 4.0 to 5.0 was identified. The developed comprehensive competency model for logistics managers in the context of Industry 5.0 allowed for improving the content and structure of the "Logistics" educational program at the National Technical University of Ukraine, determining the ratio between general and professional skills, the set of necessary tools and technologies required for developing and implementing logistics solutions, stimulating students to improve their knowledge, skills, and abilities, as well as orienting them towards effective professional activity in the future. Future research is reasonable to focus on evaluating new technological courses' effectiveness, developing interdisciplinary teaching methods, integrating practical experience, incorporating sustainability and social responsibility, and creating innovative assessment techniques to ensure curricula meet evolving labor market demands and prepare students for real-world challenges and new Industry 5.0 requirements.

Optimization of Logistic Solutions for Incoming and Outgoing Trucks System Using a Simulated Cross-Docking Centre Environment

Optimization of Logistic Solutions for Incoming and Outgoing Trucks System Using a Simulated Cross-Docking Centre Environment

Analisis Strategi Bidang Perdagangan PT.Petrokopindo Cipta Selaras dalam Upaya Meningkatkan Performa Penjualan

The research aims to analyze the trading strategies implemented by PT. Petrokopindo Cipta Selaras to enhance sales performance. The study employs a quantitative descriptive method, utilizing data collection techniques such as interviews, observations, data processing, and documentation. The collected data is analyzed thematically to identify the strategies used by the company to improve operational performance and customer satisfaction.Based on the analysis of data from PT. Petrokopindo Cipta Selaras for the period 2021-2023, it is observed that Market Share, Market Growth, and Revenue Growth have increased based on the calculation of revenue. The results of the hypothesis test indicate that Market Share and Market Growth have a significant impact on Revenue Growth. It is expected that the research findings will provide a deep understanding of PT. Petrokopindo Cipta Selaras's ability to effectively understand and respond to consumer preferences. This understanding will serve as a foundation for formulating strategic analysis to enhance sales performance, helping the company to maintain and increase market share, and strengthen its reputation as a trusted provider of logistics solutions, trading services, and industrial needs.