Logistics Supply Chain Management Research Articles

The scientific legacy of professor Y.V. Krykavskyi: development of logistics theory in Ukraine and future perspectives

The article presents the first attempt at scientometric analysis of the scientific legacy of the prominent Ukrainian scholar, Doctor of Economic Sciences, Professor Yevhen Vasylovych Krykavskyi. The main stages of his scientific work and its impact on the development of the general theory and practice of logistic science in Ukraine are identified. It is demonstrated that Y.V. Krykavskyi himself formulated the theoretical foundations of logistics as a separate direction of scientific research in the field of economic sciences, established the basic conceptual framework, founded a scientific school of marketing and logistics, and trained a large number of candidates and doctors of sciences who continue and deepen the theoretical developments of the great scientist, as well as expand the spheres of practical application of logistic concepts, tools, and methods, and supply chain management in new economic conditions.

The role of big data and IoT in logistics supply chain management of e-commerce

With the rapid development of social mode virtualization and electronic component technology, the application of data science and Internet of Things (IoT) technology in the field of e-commerce is gradually increasing. This study aims to explore how these emerging technologies can enhance the advantage of Chinese e-commerce companies in international competition. By comprehensively analyzing the massive data generated by online social networking and the application of IoT sensor technology in logistics and enterprise management, this paper proposes a decision support model based on data analysis. Research methods include data collection, data analysis and case studies. The results of the study show that data analytics and IoT technologies can effectively improve the efficiency of e-commerce operations and customer experience. The conclusion is that these technologies not only contribute to the domestic development of e-commerce enterprises, but also play a non-negligible role in international competition. This research has important implications for understanding the practical applications and potential of new technologies in the field of e-commerce.

IJCM_212A: Assessment of Effective Vaccine Management in Government Health Facilities of Jammu district

Background: The success of immunization depends highly on the level of cold chain maintenance. For effective implementation and success of the Universal Immunisation Programme, proper maintenance of Cold Chain needs a great focus. In 2010, WHO and UNICEF launched the Effective Vaccine Management (EVM) initiative. EVM is a tool which assesses immunization supply chain logistics management. Objectives: To evaluate the performance of Immunization supply chain in cold chain points of Government Health Facilities (HF) of Jammu district Methodology: A facility based cross-sectional study was conducted in Jammu district of UT of J&K. The assessment was done during November 2021– October 2022 using WHO-UNICEF EVM assessment standalone questionnaire generated on EVM assessor app. Sample size and site selection were done using the WHO EVM site selection tool(v1.7-March 2014). A total of 31 HFs were assessed including Divisional Vaccine Store (SN) Results: None of the health facilities reached the WHO recommended overall score of >80%. The criterion scores showed that Facility infrastructure and equipment (E4) and waste management (E9) for District Vaccine Store (LD) was 83% & 86%. Vaccine management (E8) score for SN level & Government Hospital was 88% & 82%. Rest of the CCPs scored less than 80% for all the criteria(E2-E9). The scores of distribution of vaccines and dry goods (E7) were very low for Primary Health Centres (PHC) and Health & Wellness Centres (H&WC) i.e., 39% and 25%. The scores for all the categories(C1-C6) for various CCPs were below 80%. Management criteria scores for supportive supervision(M3) was 0% for all CCP except LD &PHC Conclusion: The overall performance of cold chain in Jammu district was below the recommended level. Supportive supervision, provision of safe disposal pits, power backup, micro plan, training of Cold Chain Handlers and provision of vaccine transportation facility can help in effective vaccine management

Automobile Transportation Logistics Supply Chain Management Strategy

To enhance the management level and quality of the automobile transportation logistics supply chain and promote innovation and development in automobile transportation logistics enterprises, it is essential to strengthen the construction of the automobile transportation logistics supply chain management model. This can be achieved through the gradual improvement of the automobile transportation logistics management process, ensuring that the management of the automobile transportation logistics supply chain proceeds in an orderly manner. The aim is to improve automobile transportation and logistics service levels while meeting the changing market supply needs. This will enable automobile transportation and logistics enterprises to maintain steady economic benefits and enhance their core competitiveness in the market. Therefore, this paper has conducted a comprehensive exploration and research on managing the automobile transportation logistics supply chain. Corresponding management strategies are proposed as a starting point to achieve the aforementioned goals.

Supply chain disruptions during COVID-19 pandemic: Key lessons from the pharmaceutical industry

Purpose: This study extends previous research by exploring the key lessons learned by the pharmaceutical industry in South Africa from the COVID-19 pandemic supply chain disruptions.Design/methodology/approach: Having embraced the interpretivist paradigm, 25 supply chain professionals were purposively selected on the basis of their experience and deep knowledge of the industry and interviewed using the semi-structured approach of interviews. A qualitative data analysis programme, ATLAS.ti (version 9.1), was used to analyse the transcripts.Findings/results: Following thematic analysis, the following themes emerged from the primary data: supply networks, demand planning and management, supply chain coordination, inventory management, logistics management and local production.Practical implications: It is crucial to build resilience in the design of pharmaceutical supply chains. A comprehensive demand management strategy and use of data analytics need to be adopted by pharmaceutical companies to improve demand visibility, responsiveness and supply chain resilience. The study also revealed the need for local production, as local skills and enterprises are being developed.Originality/value: This study has extended the body of knowledge on the supply chain disruptions, particularly in the pharmaceutical industry by building on the studies that were conducted during COVID-19, many of which were not based on empirical data. It also points supply chain professionals in a direction which enables them to develop a disruption strategy while providing justification for policymakers to support investment in the development of the requite skills for the pharmaceutical industry and the development of local production facilities.

Research on the Innovation Strategy of Regional Logistics Supply Chain System Under the Background of Digital Economy

Based on the continuous application and development of digital information technology, the digital economy has gradually become an important growth pole of China's economic development. Digital development has also provided new opportunities for the transformation and upgrading of logistics and supply chains, and the coordinated development of the digital economy and regional logistics supply chains has achieved remarkable results. However, in the process of promoting the development of the logistics supply chain, the digital economy has problems such as the imbalance in the digitization of the logistics supply chain system, the lag in the global response speed, and the lack of trust mechanism, so it is necessary to optimize the logistics supply chain management process, strengthen the information interaction and integration between the upstream and downstream node enterprises of the logistics supply chain, and connect up and down, strengthen the elasticity and resilience of the logistics supply chain, and establish and improve the trust mechanism of the logistics supply chain system, so as to accelerate the development of the digital economy and the logistics supply chain.

Blockchain-based e-commerce supply chain logistics management model innovation in the context of big data analysis

Abstract Facing the triple challenges of information opacity, inefficiency, and security in e-commerce supply chain logistics, this study turns to blockchain technology for solutions. Blockchain’s decentralization, transparency, and security features present fresh avenues for overcoming these obstacles. By harnessing the Adaboost algorithm, we optimize logistics data processing to bolster decision-making efficiency. Moreover, using game theory, we analyze how information sharing strategies among enterprises affect logistics management, advocating for a paradigm shift towards cooperative logistics modes. Implementing blockchain technology in our study led to a significant leap in logistics transparency and efficiency, with experimental data revealing a 20% decrease in logistics costs and a 30% enhancement in efficiency. These findings affirm the role of blockchain as a catalyst for innovation in e-commerce supply chain logistics, promoting a more efficient and secure information-sharing ecosystem.

РОЛЬ ИНФОРМАЦИОННЫХ СИСТЕМ В ОПТИМИЗАЦИИ ЛОГИСТИКИ И ЦЕПОЧЕК ПОСТАВОК

With accelerated globalisation and ever-changing market conditions, effective logistics and supply chain management is becoming a critical success factor for companies of all sizes. Information systems enable more accurate demand forecasting, inventory optimisation and shorter delivery times, which ultimately contribute to the competitiveness of enterprises. An important component of effective logistics supply chain management is the integration of digital technologies. The research conducted analyses five key technologies – CRM, SCM, APS, MES and MRP, identifying their advantages and disadvantages. The impact of artificial intelligence in optimising logistics processes is also explored. The article also examines the process of global digitalisation in the logistics sector, including the adoption of the latest technologies and an analysis of possible threats to data security. Successful examples of the use of these technologies in various logistics companies are highlighted, and recommendations are given on the development of information technology infrastructure of enterprises and support for innovative projects in the field of logistics for effective adaptation to the rapidly changing digital requirements of society.

Revolutionizing Logistics Supply Chain Management and Cost Control through Digital Marketing in the Era of Big Data and Internet of Things

Revolutionizing Logistics Supply Chain Management and Cost Control through Digital Marketing in the Era of Big Data and Internet of Things

Digital Technique-Enabled Container Logistics Supply Chain Sustainability Achievement

With the rapid development of digital technology, the smart sensor-based container equipment and intelligent logistics operations contribute to achieving the efficiency improvement and sustainability achievement of container supply chain under the IoT-based logistics 4.0 scenarios. This paper tries to study the state-of-the-art knowledge of the container logistics supply chain management motivated by digital techniques. Through data-driven analysis this review is performed to assist researchers and practitioners to better understand the container logistics management. The integrated research framework is designed by developing a bibliometric analysis study to address the research themes of the container logistics era. The related publications from the Web of Science database from 2003 to 2022 were indexed and 2897 reference samples are collected as the research data. In addition, the VosViewer is adopted to portray the network, co-occurrence, and co-word analysis by visualizing the collaborative relationships of collected samples. The results show that digital technology has been widely applied in container logistics supply chain management practices, contributing to resilience and sustainability improvement by intelligent operations. These research findings are also helpful for researchers by providing a deep penetrating insight into research opportunities and great potentials of container logistics supply chain by innovative digital technology-enabled practices.

Analysis of management of logistics supply chain in the context of strategic development of business processes

The purpose of the study is to analyze the transformation of business processes through the prism of the implementation of the concept of supply chain management. The enterprise management theories are considered, focusing on the process approach based on the methodological basis of managing the organization as a set of business processes. The latter was studied from the point of view of critical characteristics that concentratedly reflect the purpose of business processes, their systemic connection, target orientation, measurability, the interdependence of "inputs" and "outputs," and managerial aspects of coordination. The advantages of the process approach to the organization and management of business processes have been identified. Based on the analysis of foreign and domestic scientific literature, a conclusion was made about the shift in the long-term orientation of business entities towards the formation of common advantages through the implementation of methodological concepts of management of logistics supply chains, which are implemented in three levels - as a management philosophy, as a set of measures at the tactical level, as a set of operational layer tools. The elements of the relationship between business process management and logistics supply chain management are revealed, including strategic coordination, information technologies involving external IT interfaces, process orientation reflecting the flow of value creation, and employee empowerment. The supply chain is presented in terms of a business process that connects different enterprises. The algorithm for ensuring emergencyness based on implementing a process-oriented management system with a reflection of the flow of value creation has been studied. The reengineering of business processes, which is a response to the challenges of the external environment, is disclosed in the context of considering the key characteristics of the essence of the business process and the need for integration within the framework of logistics supply chains, including integrity, communicability, autonomy, orderliness, stability, manageability. Keywords: analysis, management, logistics supply chain, strategic development, business processes.

Retracted: Logistics Supply Chain Management Mode of Chinese E-Commerce Enterprises under the Background of Big Data and Internet of Things

Retracted: Logistics Supply Chain Management Mode of Chinese E-Commerce Enterprises under the Background of Big Data and Internet of Things

Sustainable Evaluation of Major Third-Party Logistics Providers: A Framework of an MCDM-Based Entropy Objective Weighting Method

This study aims to efficiently assist decision makers in evaluating global third-party logistics (3PL) providers from the perspectives of economic, social, and environmental sustainability and explore the determinants of the 3PL providers’ performance. In doing so, an integrated framework for an MCDM-based entropy objective weighting method is proposed for the first time in a logistics industry assessment. In the first stage, the entropy method defines the weight of the decision criteria based on real data collected from the top 15 global 3PL providers. This study lists the prominent quantitative evaluation criteria, taking into consideration the sustainability perspective. The advantage of the entropy method is that it reduces the subjective impact of decision makers and increases objectivity. In the second stage, the measurement of alternatives and ranking according to compromise solution (MARCOS) method is used to rank the 3PL providers according to their performance on the basis of these criteria. Sensitivity analysis and comparative analysis are implemented to validate the results. The current research work is devoted to the emerging research topic of sustainable development in the logistics industry and supply chain management. The proposed model identifies key performance indicators in the logistics industry and determines the most efficient 3PL providers. Consequently, the results show that the carbon dioxide emissions (20.50%) factor is the most important criterion for the competitiveness of global logistics companies. The results of this study can help inefficient 3PL providers make strategic decisions to improve their performance. However, this study only focuses on 15 companies due to a lack of data. The integration of these two techniques provides a novel way to evaluate global 3PL providers which has not been addressed in the logistics industry to date and as such remains a gap that needs to be investigated.

Optimization of logistics supply chain management model on consumer purchase anxiety disorder

BackgroundAnxiety refers to the intense, excessive, and persistent anxiety and fear in daily life, which will peak in a few minutes. Especially in online shopping, patients with anxiety will aggravate their anxiety because of the slow delivery of the traditional logistics supply chain management model. To reduce consumers’ anxiety, the network distribution system of logistics supply chain management mode is optimized.Subjects and MethodsThis study divided 200 patients with anxiety disorder in a city into a control group and an experimental group. In the experimental group, 100 patients used the optimized logistics supply chain management mode for online shopping. In contrast, in the control group, 100 patients used the traditional logistics supply chain management mode for online shopping. The study also used the self-rating anxiety scale (SAS) for psychological measurement and compared the SAS scores of the two groups of consumers for two months.ResultsThe data were analyzed by SPSS23.0. The SAS score of the experimental group was (1.63±0.23), and that of the control group was (1.81±0.59). The SAS scores of patients in the experimental group were better than those in the control group, and there were apparent differences between the two groups (P < 0.05).ConclusionsResearch on the choice of logistics supply chain management mode for online shopping optimizing its network distribution system can effectively shorten the online shopping distribution time and reduce consumers’ purchase anxiety.

Assessment of treatment outcomes of visceral leishmaniasis (VL) treated cases and impact of COVID-19 on VL management and control services in Bangladesh

BackgroundCOVID-19 has largely impacted the management of Visceral leishmaniasis (VL), like several other Neglected Tropical Diseases. The impact was particularly evident in Lower and Middle-Income countries where the already inadequate healthcare resources were diverted to managing the COVID-19 pandemic. Bangladesh achieved the elimination target for VL in 2016. To sustain this success, early diagnosis and treatment, effective vector control, and periodic surveillance are paramount. However, the specific control measures for VL in Bangladesh that were hampered during COVID-19 and their extent are unknown. MethodsThis study aimed at identifying the gaps and challenges in the follow-up of treated VL patients by interviewing both the treated VL cases and their health service providers. We followed VL cases treated between 2019 and 2020 in five VL endemic subdistricts (upazilas) both retrospectively and prospectively to monitor clinical improvement, relapse, or other consequences. Moreover, interviews were conducted with the health service providers to assess the impact of COVID-19 on VL case detection, treatment, reporting, vector control operations, and logistic supply chain management. ResultsThere was no added delay for VL diagnosis; however, VL treatment initiation and reporting time increased almost two-fold due to COVID-19. Indoor Residual Spraying activity was significantly hampered due to a shortage of insecticides. Out of 44 enrolled and treated VL patients, two relapsed (4.5 %), two developed Para Kala-Azar Dermal Leishmaniasis (4.5 %), and three (6.8 %) Post Kala-Azar Dermal Leishmaniasis (PKDL). The health service providers highlighted patients` unwillingness to visit the hospital, financial constraints, and distance from the hospitals as the main reasons for missed follow-up visits (20.5 %). Building good communication in the community, awareness schemes, and incentive-based approaches were suggested as possible solutions to mitigate these problems. ConclusionLong-term follow-up is required for the early detection and management of VL relapse and PKDL cases. Effective vector control measures, capacity development, and identification of new VL hotspots are pivotal in the VL endemic regions to sustain the elimination goal.

Supply chain management for modular construction using building information modeling

This paper presents an example of an integrated con¬struction system that uses building information model¬ing (BIM), the internet of things (IoT), and geographic information system (GIS) technology to improve supply chain logistics management in construction projects, thereby increasing project efficiencies and controlling construction costs. The authors developed and tested a digital twin platform for the proposed system, which allows real-time simulation of logistics in modular con-struction. The proposed digital twin platform uses BIM and GIS as its foundation because BIM includes infor¬mation on the plans, detailed geometry, properties, and quantities of modules, whereas GIS provides geospatial data for the modules along with vehicular information during transport. This system with integrated BIM, IoT, and GIS modules was applied in a new manufacturing company within its first five years. The results show that potential logistical risks and accurate module arrival time can be detected via the suggested digital twin platform. The integrated system proved to be effective in product delivery management tasks.

AN ASSESSMENT OF CHALLENGES AND FACTOR INFLUENCING THE FREIGHT FORWARDING BUSINESS IN THE LOGISTICS INDUSTRY

This research was undertaken with the sole aim of understanding some of the challenges and Factor Influencing the Freight Forwarding Business in the organizations involved the Forwarding and distribution of shipper Cargo encounter in their logistics operations. A freight forwarder is a person or company that organizes shipments for individuals or corporations to get large orders from the manufacturer or producer to market or final point of distribution. Forwarders will contract with a carrier to facilitate the movement of goods. A forwarder is not typically a carrier but is an expert in supply chain management. In other words, a freight forwarder is a "travel agent," for the cargo industry, or a third-party (non-asset-based) logistics provider. A forwarder will contract with asset- based carriers to move cargo ranging from raw agricultural products to manufactured goods. The term Logistics Management or supply chain management is that part of Supply Chain Management that plans, implements, and controls the efficient, effective, forward, and reverse flow and storage of goods, services, and related information between the point of origin and the point of consumption in order to meet customer's requirements. The research targeted a selected sample of Employees and representatives of transporters of goods and key management personnel of Companies Central Distribution Center based in the industrial area Chennai. The primary objective of this project is to conduct ‘A study on Challenges and factor influencing the freight forwarding business in the Freightkare Multimodal Logistics Pvt. ltd. It is important to analyze the problems faced by freight forwarders from the carriers as well as companies and individual customers. By studying and comparing the various problems faced by the freight forwarders. It is easy identifying the solutions to avoid the problems and make sure the smooth flow of business. This will help Freightkare Multimodal Logistics Pvt. ltd to establish a reasonable share in the marketplace.

Research on international logistics supply chain management strategy based on deep reinforcement learning

Abstract The use of deep reinforcement learning algorithms for strategy formulation in supply chain management enables the nodes in the supply chain to better improve their management strategies. In this paper, a supply chain model is constructed as a starting point, and deep reinforcement learning algorithms are introduced on this basis. Firstly, the decision problem of uncertainty is handled by the reinforcement learning method of functions, and the DQN algorithm (deep neural network algorithm) is divided into two parts for iterative rules. Then the target network is established to make the iterative process more stable, to improve the convergence of the algorithm, evaluate the loss function in the training process of the network, and to determine its influence factor. Then the neural network is used to improve the iteration rule, improve the output layer, select the final action, and define the model expectation reward. Finally, the Bellman equation is fitted to the function by a deep neural network to calculate the final result. The experimental results show that by analyzing and constructing the cost of international logistics under supply chain management, the capacity utilization rate of ocean freight link is 57% The unloading link is 74% and the total capacity utilization rate is calculated as 76%. It shows that using deep reinforcement learning algorithms under international logistics supply chain management is feasible and necessary for improving the management strategy research of supply chains.

Intelligent Risk Prediction System in IoT-Based Supply Chain Management in Logistics Sector

The Internet of Things (IoT) has resulted in substantial advances in the logistics sector, particularly in logistics storage management, communication systems, service quality, and supply chain management. The goal of this study is to create an intelligent supply chain (SC) management system that provides decision support to SC managers in order to achieve effective Internet of Things (IOT)-based logistics. Current research on predicting risks in shipping operations in the logistics sector during natural disasters has produced a variety of unexpected findings utilizing machine learning (ML) algorithms and traditional feature-encoding approaches. This has prompted a variety of concerns regarding the research’s validity. These previous attempts, like many others before them, used deep neural models to gain features without requiring the user to maintain track of all of the sequence information. This paper offers a hybrid deep learning (DL) approach, convolutional neural network (CNN) + bidirectional gating recurrent unit (BiGRU), to lessen the impact of natural disasters on shipping operations by addressing the question, “Can goods be shipped from a source location to a destination?”. The suggested DL methodology is divided into four stages: data collection, de-noising or pre-processing, feature extraction, and prediction. When compared to the baseline work, the proposed CNN + BiGRU achieved an accuracy of up to 94%.

A Review of Optimisation of Transportation of Drill Cuttings Waste

Transportation and monitoring of oil and gas operations require advanced logistics supply chain management. This paper adopts the desktop study research method, using credible pieces of literature such as textbooks and online journals and articles, to identify preferable waste management options for transportation drill cuttings wastes and improving the oil and gas business. Findings reveal that haulage of drill cuttings is regulated differently depending on the environmental compliance requirements locally and internationally. Though challenging, the shipment of drill cuttings from cradle to grave can be improved, based on the localised monitoring mechanisms and possibly, the adaptation of spatial technologies which inversely progress logistic outcomes.