Logistics Research Research Articles

Case Study of Intralogistics in The Framework of Logistics 4.0

Industry 4.0 has led to changes that have reduced the labor force and creat-ed production environments where machines that bring together information technology and industry communicate with each other. Logistics 4.0, which emerged with Industry 4.0, paved the way for improvement in logistics process-es. Using information technologies in logistics reduces the labor force costs of enterprises by leading all stages of activities to digitalization. It can be possible to increase customer satisfaction and product quality by reducing human fail-ures with digitalization. This study was performed by planning intralogistics us-ing Logistics 4.0 technological tools, and also the problem of a manufacturing company was elaborated as a case study. This study was carried out by quanti-tative data analysis in the case study and a large-scale production company in Turkey providing the intralogistics of the materials from the supplier in the en-trance warehouse with RFID (Radio Frequency Identification) technologies. This paper presents the research, development, and application of logistics 4.0 in the intralogistics process from the entrance warehouse to the production lines. The aim of the case study was provided to information about the tech-nologies available within the scope of Logistics 4.0 and contribute to the litera-ture and industry with solution suggestions depending on the result of the appli-cation study within the logistics operations. As a result, depending on the case study, it was determined that Logistics 4.0 improved intralogistics operations costs by 13.37%.

Maritime logistics research by authors based in South Asian institutions: a systematic review

Systematic reviews improve future research by providing an overall picture of how research is conducted in a particular field. As a result, they are growing in number. As South Asia emerges as a geopolitical and maritime hub, attention must be shifted to maritime logistics in the region. This study examines how authors based in South Asian institutes contribute to maritime logistics research by way of a systematic review. It indicates that most research on maritime logistics in South Asia comes from India. Presenting the formulation of networks between authors and countries, the study reveals four research clusters that are derived based on the paper pool systematically derived through Scopus: i) Container terminal optimization, ii) Logistics activities in the hinterland, iii) Geopolitics in the maritime supply chain, and iv) Maritime transport. The evolution of South Asian maritime logistics is discussed based on the four clusters so derived. Moreover, the way that authors based in South Asia and their institutions have contributed journal articles in maritime logistics is discussed. Directions for future studies in maritime logistics in South Asia are introduced. We find that more collaborations can enhance the region’s maritime logistics research. Future studies may focus on industry academia and horizontal-vertical collaborations.

Mathematical experiment in logistics research of multimodal freight transportation with time and cost indicators

Aim: Development of a new approach to optimizing the process of cargo flows distribution at the transport loop. Construction of a mathematical model of the freight transportation process, which equally takes into account the interests of various participants in the transportation process.
 Materials and Methods: A mathematical model of the freight transportation process is built, which is based on the infrastructure indicators of the considered part of the railway loop and is a multicriteria optimization problem of integer programming. The algorithm for solving the problem is common for land transport and is implemented in the environment of a computer algebra system. As a project, which is an example of the application of the developed transport and logistics method, a part of the North-Caucasian railway, adjacent to the main cargo ports of the Azov-Black Sea basin, is considered. The considered railway loop is a transit component, actively exploited for Russian exports, in particular, grain cargoes.
 Results: The issues of organizing rail freight transportation in multimodal transport and technological systems are researched on the basis of egalitarian and utilitarian approaches in welfare theory. These approaches are considered in relation to the participants in the transportation process (agents) within the framework of the time and cost indicators of this process. Computational procedures for finding optimal distributions of cargo flows have been brought to concrete results.
 Conclusion: A mathematical experiment used as a simulation modeling tool allows versatile and purposeful manipulation of the indicators of the transportation process and the restrictions imposed on transportation plans. The cargo flows distributions to port unloading stations obtained as a result of Pareto optimization are analyzed from the point of view of their rationality and usefulness in relation to agents.

A review of current trends and future directions in reverse logistics research

A review of current trends and future directions in reverse logistics research

A Review on the Truck and Drone Cooperative Delivery Problem

As an emerging delivery style in logistics, the cooperation between trucks and drones can significantly improve the efficiency of parcel delivery, especially in some typical scenes, such as mountainous areas, high buildings, or post-disaster material delivery. In recent years, the truck and drone cooperative delivery problem (TDCDP) has attracted more and more attention from logistic research and commercial sectors. This paper proposes a taxonomy for TDCDP and systematically summarizes the related research. First, the impacts of changes in customers and environments on truck and drone delivery modes are analyzed in detail. Second, by using the proposed taxonomy, the delivery modes in TDCDP are classified into four types: parallel delivery, mixed delivery, drone delivery with truck-assisting, and truck delivery with drone-assisting. The roles of trucks and drones are analyzed in different scenes. Then, for different delivery modes, this paper summarizes the TDCDP models and analyzes the common assumptions, constraints, and objective functions. This paper also combs the exact algorithms, heuristic algorithms, and hybrid algorithms used to solve different kinds of TDCDP. Finally, the current research status and future research trends are discussed, and the challenges of TDCDP are highlighted.

Bibliometric and thematic analysis in humanitarian logistics research

El propósito de esta investigación es analizar y evaluar la literatura existente en el área de la logística humanitaria, mediante un análisis bibliométrico y temático que incorpora importantes herramientas de mapeo científico. La ecuación de búsqueda en Scopus arrojó 767 documentos, los cuales fueron analizados a partir de dos herramientas: VOSviewer, software que permite generar redes bibliométricas de acoplamiento bibliográfico y coocurrencia de términos, y el paquete Bibliometrix R, con el cual se desarrolla el mapa de producción científica por países y la nube de palabras clave. De esta manera, se determina que el campo de la logística humanitaria ha crecido en los últimos años, sin embargo, la producción en América Latina sigue siendo escasa. Por otra parte, el análisis temático ha brindado una descripción general de las posibilidades de la tecnología en la logística humanitaria. Finalmente, se propone una agenda futura de investigación en logística humanitaria, identificando temas potenciales de estudio.

Research on the market potential and marketing strategy of green supply chain and reverse logistics tracking system

China's manufacturing industry is developing rapidly and the categories are perfect. The national requirements for green logistics are increasing year by year, and there is an urgent need for green supply chain upgrade and reverse logistics tracking system to achieve green transformation. This paper analyzes the market potential of green supply chain and reverse logistics Geng total system. The study shows that China's reverse logistics research started late, the related system is still not perfect, and small and medium-sized enterprises do not have the ability to implement the tracking and effective recycling of reverse logistics. The overall market potential is huge and the development prospect is broad. At the end, the marketing strategy of reverse logistics tracking system is elaborated.

Sustainable Urban Last-Mile Logistics: A Systematic Literature Review

Globalisation, urbanisation and the recent COVID-19 pandemic has been raising the demand for logistic activities. This change is affecting the entire supply chain, especially the last-mile step. This step is considered the most expensive and ineffective part of the supply chain and a source of negative economic, environmental and social externalities. This article aims to characterise the sustainable urban last-mile logistics research field through a systematic literature review (N = 102). This wide and holistic review was organised into six thematic clusters that identified the main concepts addressed in the different areas of the last-mile research and the existence of 14 solutions, grouped into three types (vehicular, operational, and organisational solutions). The major findings are that there are no ideal last-mile solutions as their limitations should be further explored by considering the so-called “triple bottom line of sustainability”; the integration and combination of multiple last-mile alternative concepts; or by establishing collaboration schemes that minimise the stakeholders’ conflicting interests.

Preface to the Special Issue on “Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling”

In the last decade, the Industrial Revolution 4.0 brought flexible supply chains and flexible design projects to the fore [...]

Creation of supply chains for the delivery of agricultural products and food along the Eurasian transport corridors

To assess the advantages of the supply of agricultural products and food in specialized refrigerated containers, to show the main channels for the supply of food cargo by container trains on Eurasian transport routes. Research methods: when preparing a scientific article, methods of scientific research in logistics were used: structural analysis, technical parameterization, process analysis of supply chains. Results: the advantages for cargo owners of the service of food shipments by specialized refrigerated container trains are substantiated, visual diagrams of geographical routes of food shipments in the direction of Russia - China are presented, descriptions of survey logistics services, Glonass navigation services and tracking of the location and temperature regime of the transported container are given. Recommendations: the results of the published study are recommended to be used by specialists of logistics services of cargo owners in the process of designing the delivery and shipment of food cargo according to seamless multimodal delivery schemes.

The State-Of-Play in Maritime Economics and Logistics Research (2017-2023)

The State-Of-Play in Maritime Economics and Logistics Research (2017-2023)

Knowledge Structure of Emergency Logistics Research in China: An Analysis Based on Bibliometrics

Based on Bibliometrics and CiteSpace visualization software, relevant research literatures from 2002 to 2022 are retrieved with the topic of emergency logistics, and the scientific knowledge graphs are drawn. Comprehensive analysis and discussion are carried out from multiple dimensions including research time, research subject, research hotspot and research frontier by integrating the graph and data results. The research shows a certain number of active research teams in this field, but the cooperation between them is insufficient. The research institutions in this field are mainly universities and research platforms, but there is also a lack of cross-regional cooperation between them. The emergency logistics network and information construction, the emergency logistics model and system, the emergency management system construction and improvement, the emergency logistics site-path model and the emergency supplies support capability constitute five major research hotspots in this field. It is speculated that the research on pandemic response and improving the intelligent logistics system will become a future research hotspot of this field, providing ideas and references for the follow-up researches.

Global Trend on Logistics Research: A Bibliometric

This study uses bibliometric analysis, visualization, and VOS viewer application, which is based on the Scopus document database, to assess the research journals on logistics. The Study used 1,000 papers on logistics-related themes from foreign authors. A number of factors are used to evaluate articles, including contributions from a country, an institution, an author, journal distribution, the most-cited articles, bibliographic coupling, and keyword analysis. The results showed that the first article indexed by Scopus, which discussed logistics, was published in 1984. Marija Bogataj from the Faculty of Economics, University of Ljubljana, Slovenia, is the most productive author, with nine articles discussing logistics. The United States is the country that produces the most articles on the theme of logistics, namely 194 articles, and Indonesia is ranked 11th. Hong Kong Polytechnic University is an institution that is the primary reference in research on logistics. The International Journal of Production Economics is the most published in logistics research. Potential logistics research themes include blockchain, outsourcing, gender, poverty, coordination, supply chain strategy, packaging, circular economy, and urban logistics. Research is carried out by collaborating across disciplines and countries to make a real contribution to research, education, and the logistics industry.

Impact of government support on users' participation in emerging green crowdsourcing logistics model: evidence from digital freight platform in China

PurposeDigital freight platform is an innovation practice of green concept, sharing economy and crowdsourcing concept in China's logistics field. It has many advantages, such as improving the utilization rate of logistics resources, reducing carbon emissions, etc., so it has been highly regarded by the government. This paper systematically studies what types of government supports are available and explores the influence mechanism of these government supports on users' participation intention in digital freight platform.Design/methodology/approachIn total 191 valid questionnaires were collected through a questionnaire survey in China. Then SmartPLS is used to analyze the collected data.FindingsThe empirical results show that user subsidies, standardization of tax administration and financial resource support have a significant impact on actual carriers' participation intention in digital freight platform. The impact of standardization of tax administration on actual carriers' participation intention is the most substantial, followed by that of financial resource support, while the user subsidies exert a minimum impact. Moreover, the impact of standardization of tax administration and user subsidies on legitimacy perception is related to enterprise scale.Originality/valueThis study enriches the field of crowdsourcing logistics research and provides referential suggestions for the formulation and implementation of government supports to promote the sustainable development of green crowdsourcing logistics platforms represented by digital freight platform. In addition, in the growth process of new models with strong social benefits, the government can promote its development through a variety of policy tools to improve the accuracy of government policies.

Bi-objective perishable product delivery routing problem with stochastic demand

In recent years, with the fast expansion of the market for perishable products, the transport of perishable products has become a critical issue in logistics research. Freshness and timeliness are two main factors affecting customer satisfaction with perishable product delivery, which are also closely related to the operating cost. To efficiently balance the operating cost and customer satisfaction, we consider the problem of bi-objective optimization with stochastic demand to find the Pareto-optimal solution of minimizing the total expected operating cost and maximizing the total expected customer satisfaction, where the demand is unknown until the delivery vehicle reaches the customer’s location. Two types of vehicles cooperate to serve the customers, where one type is used to serve the initial requests of the customers, while the other type is used to fulfil the unmet demand caused by uncertain demand and non-compliance with the freshness requirement. We present a new evaluation method to measure customer satisfaction affected by time windows, which is more in line with customer psychology than the linear calculation method in existing studies. We develop a multi-objective evolutionary algorithm (MOALNS) that combines the NSGA-II algorithm with the adaptive large neighborhood search to solve the problem, where the expected operating cost of a given route under the vehicle cooperation strategy is minimized by a dynamic programming algorithm. Extensive numerical studies show that MOALNS performs well in finding the Pareto front and reveal the impacts of the key model parameters on the optimal solution, providing insights for the decision-maker to devise delivery schemes that trade-off the operating cost for customer satisfaction.

Contribution of Scientific Production to Air Logistics: A Bibliometric Analysis from the 70s to the Present

With increased performance expectations based on speed and agility in logistics flow and supply chain processes, air logistics has gained popularity as a research area. Although more and more papers are published each year on this subject, to the best of our knowledge, a comprehensive bibliometric academic publication review has not been presented so far to contribute to the intellectual structure of the literature. Therefore, this study aims to investigate the last 5 decades’ intellectual basis of air logistics studies that can be evaluated in the field of social sciences. For this purpose, a total of 398 articles have been accessed to be used in the bibliometric analysis of studies published in the literature of air logistics, and these data have been provided from the Core Collection Database of Web of Science (WOS). The research data consists of articles published in English in the WOS database between 1971 and 2019. Books and papers published in all other languages were not included in the research. The Bibliometrix (Biblioshiny) package of the statistical software program R was used for the analysis and visualization of the data. Research findings indicate that air logistics research has increased greatly, especially in the last 10 years. The most productive countries are the United States, China, and Canada, respectively, while the most published journal is the Journal of Air Transport Management, which has continued to increase its number of publications since 1995. Although there are no tear restrictions in this study, the number of publications on air logistics in the field of social sciences is still insufficient.

Application Of Operation Research in Logistics

Application Of Operation Research in Logistics

Development of a Machine Learning-Based Framework for Predicting Vessel Size Based on Container Capacity

Ports are important hubs in logistics and supply chain systems, where the majority of the available data is still not being fully exploited. Container throughput is the amount of work done by the TEU and the ability to handle containers at a minimal cost. This capacity of container throughput is the most important part of the scale of services, which is a crucial factor in selecting port terminals. At the port container terminal, it is necessary to allocate an appropriate number of available quay cranes to the berth before container ships arrive at the port container terminal. Predicting the size of a ship is especially important for calculating the number of quay cranes that should be allocated to ships that will eventually dock at the port terminal. Machine learning techniques are flexible tools for utilizing and unlocking the value of the data. In this paper, we used neighborhood component analysis as a tool for feature selection and state-of-the-art machine learning algorithms for multiclass classification. The paper proposes a novel two-stage approach for estimating and predicting vessel size based on container capacity. Our proposed approach revealed seven unique features of port data, which are the essential parameters for the identification of the vessel size. We obtained the highest average classification accuracy of 97.6% with the linear support vector machine classifier. This study paves a new direction for research in port logistics incorporating machine learning.

Logistics Research Articles Written by Non-Native English Speakers: The Evidence From Corpus Tools

The goal of this corpus-based study was to look at the word lists, collocations, and lexical bundles of logistics research articles (LRAs) in order to get a better understanding of the real English language used in the logistics area for both academic and specific purposes. The stated concerns were then investigated using four corpus tools: AntConc, Sketch Engine, ConcGram 1.0, and RANGE. A logistics journal was used to compile 21 LRAs at random. The findings revealed that the top list of words found in corpus tools differed. After that, each tool displayed a comparable list of the top 10 nouns. And the top list of lexical bundles was generated differently by each tool.

Sustainable Logistics for E-Commerce: A Literature Review and Bibliometric Analysis

This study aims to present a bibliometric analysis and literature review and to identify publications, main topics, and trends in recent years about the sustainability of logistics operations in e-commerce environments. For this, we considered 99 documents from Scopus published in 2021 and 2022 that address logistics, e-commerce, and sustainability. The bibliometric analysis shows that authors from Italy and India stand out for generating the largest number of publications, and correspondingly, institutional affiliations from these countries present the largest scientific production. It is established that journals such as Sustainability, International Journal of Logistics Research and Applications, and Sustainable Cities and Society lead both in the number of published articles and the number of articles with the highest citations. Within the main topics are the sustainability of e-commerce logistics, last-mile logistics and delivery logistics, urban and city logistics, environmental impact, urban transport, packing and packaging, traffic and congestion, supply chains, the effects of the COVID-19 pandemic, China and cross-border e-commerce, vehicle routing, optimization methods, and decision-making techniques in operations for cost and energy efficiency. Similarly, this study identifies the main research trends related to multiple dimensions of sustainability; technological developments including electric vehicles and specialized software; crowdshipping; operation modes such as collection and delivery points, parcel lockers, and micro-depots; and policymaking.