Logistics Management System Research Articles

Analysis of Management Elements in Antibiotic Inventory Control with EOQ and MMSL Methods at Aisyiyah Bojonegoro Hospital

Inventory control is important in managerial activities because it involves investment and is hospitals' most significant expenditure component. The Aisyiyah Bojonegoro Hospital requires a logistics management system that can maintain the safety and effectiveness of the use of drugs for the smooth running of hospital pharmaceutical services in the long term. This analytical observational study analyzes management elements in controlling antibiotic inventory by simulating the Economic Order Quantity (EOQ) and Minimum-Maximum Stock Level (MMSL) methods. Determination of the sample purposively, i.e., 17 types of antibiotic drugs category A from the results of the ABC analysis, with the inclusion criteria being high cost, high volume, clinically important drugs for antibiotic drugs that are included in the 2020 Hospital Formulary and the exclusion criteria are drugs with inadequate supply. The analysis technique used the Mann-Whitney test and the Kruskal-Wallis test. Based on the results of the study, it was concluded that. Applying the EOQ and MMSL methods has been proven to increase the efficiency and effectiveness of the supply of category A antibiotics at Aisyiyah Bojonegoro Hospital.

Improving The Supply Chain Management in Indian Agriculture

India plays a significant role in the global agricultural scene. India's agricultural history begins with the Indus Valley Civilization. Despite having a long history, many farmers in this country are going hungry as global corporations profit. The aforementioned issue is probably caused, at least in part, by poor supply chain management. Agricultural equipment, as most people are aware, rapidly ages if not maintained. Although the government offers storage facilities to farmers, the current logistics management system prevents them from knowing where their product is. Businesses find it challenging to track their products throughout transportation without using guessing. Because of this, it's crucial for farmers and decision-makers to monitor the state of their products and carry out routine audits of the manufacturing process. In this study, we suggest adopting blockchain technology to promote complete product transparency and increase communication between producers and consumers. Farmers and government employees that participate in the transit will have access to all the details of the process that are recorded in the blockchain. Additionally, records stored in perpetuity may be accessed for as long as required.

Innovative Leadership Strategy to Strengthening Community Health Education in Remote Areas

Indonesia is one of 57 countries worldwide that are facing a human resources crisis in the health sector. The shortage of health workers is particularly acute in underdeveloped areas, hindering Indonesia's overall development. This situation is further compounded by the low retention rate of health workers in these areas. This study aims to analyze innovative leadership strategies that can strengthen public health education in remote areas. This study used descriptive research methods. The results indicate that the implementation of innovative leadership strategies in Indonesia faces many ethical and legal obstacles. The development of innovative leadership is not aligned with the current regulations. However, creative social innovation approaches can enhance access to and quality of health services for vulnerable remote areas, while also increasing agency among intervention communities. This process promotes empowerment, which supports the sustainable strengthening of community systems and the achievement of community health goals and beyond. To revitalize primary healthcare efforts, strengthening community health systems should prioritize increasing health financing and innovative investments, strengthening logistics management systems, and fostering community ownership and partnerships. The government should sustain their actions aligned with global and regional sustainable initiatives to ensure that no one is left behind.

Artificial Intelligence-Empowered Logistic Traffic Management System Using Empirical Intelligent XGBoost Technique in Vehicular Edge Networks

Recent advancements in computation and communication technologies and the increasing adoption of the Internet of Things (IoT) and Artificial Intelligence (AI) technologies have paved the way to tremendous developments in modern transportation systems. Driven by the massive number of connected vehicles and the stringent requirements of the public traffic management system, the transportation of data to and from the centralized cloud servers poses a great challenge. As a result, to meet the computational requirements and handle the massive amount of sensory data efficiently, the potential solution is to process/analyze the data at the edge of the network. Motivated by the challenges mentioned above, in this paper, we design a new empirically intelligent XGboost (EIXGB)-enabled logistic transportation system at the edge network for analyzing the data efficiently. Besides that, the proposed EIXGB technique intends to obtain real-time results based on the monitoring parameters of the public traffic management system with higher accuracy and minimum error. Extensive simulation results demonstrate the efficiency of the proposed EIXGB technique over the standard machine learning techniques using a set of parameters. The proposed technique achieves 87-97% accuracy over the different sets of features of a real-time dataset as per the simulation results.

River logistics amid war and post-war recovery in Ukraine: current situation and prospects .

River logistics amid war and post-war recovery in Ukraine: current situation and prospects .

An artificial-intelligence-enabled sustainable supply chain model for B2C E-commerce business in the international trade

This work aims to improve the efficiency of logistics distribution in the international trade environment by optimizing the distribution path of the e-commerce supply chain model (SCM). First, this work analyzes the international trade and e-commerce backgrounds and unveils the existing problems in the sustainable supply chain model (SCM). Then, an experiment is designed to study sustainable SCM under the Business to Consumer (B2C) E-commerce business model and compare it to the Consumer to Consumer (C2C) business model. This research has important reference value for improving resource efficiency in the logistics field. The optimal experimental results of the model show that given an order quantity of 2000, the vehicle competition ratio (VCR) is only 1.1 when the vehicle capacity (VC) is 12. In contrast, when the VC is 72, the VCR is 1.45. Therefore, the greater that the load of a single vehicle in the logistics management system is, the higher the logistics distribution efficiency of the supply chain. The research content has practical application value for improving the efficiency of logistics distribution under the current e-commerce environment and promoting the digital and electronic development of international trade logistics.

Measurement the Impact of Logisitc Management System on Economic Growth in Selected Asian Countries

This study intended to investigate the impact of on logistics management system on economic growth in selected Asian countries for the period of 2009-2018. Moreover, the impact of renewable energy consumption is association with logistics management system is also examined. There are six (06) sub-regions in Asia and from each region, two countries are selected. Effective logistic Management System is measured by different six (06) components are chosen to get the clear impact on growth. Hausman test suggested to use Random effect regression analyses for the said investigation. The results of the mentioned techniques showed that the impact of Logistics management system components i.e. LPIEA, LPIEC and LPIFS are found significant in the absence of renewable energy and CO2 was found effective to affect growth. While in the presence of renewable energy consumption the components of Logistics management system i.e. LPIAT, LPICQ, LPIEC and LPIQT are found significant to affect growth in the study area. Moreover, renewable energy consumption is found significant to affect growth. Policymakers in Asian countries should prioritize investment in these areas to promote sustainable development and contribute to global efforts to combat climate change.

MAIN ASPECTS OF MANAGING LOGISTICS BUSINESS PROCESSES AND THEIR QUALITY ASSESSMENT

The development of logistics, the formation of logistics chains and ensuring their effective functioning require improved management of logistics business processes. However, in literature and practical activities today, the aspects of managing logistics business processes are of a different nature, it is necessary to justify the approach to the creation of an integrated management system based on the assessment of their quality. It has been proven that logistics management and quality management is a general process of organization of production at the enterprise, aimed at increasing the efficiency of the use of available material, financial, information and personnel resources. Quality determines which product or service should be carried out taking into account consumer requirements and standards, and logistics – how to achieve the required level of production, the level of organization of processes and costs.In this work, the quality of logistics activity is understood as a set of properties and characteristics of successive interconnected logistics business processes related to the supply, production, transportation and sale of products, which arise as a result of interaction of a consumer and a producer, as well as other interested parties, the degree (level) which allows you to satisfy various socio-economic needs that are constantly changing.A methodological approach to the assessment of the quality of logistics business processes has been developed, which is based on the elements of the SCOR model and provides for the establishment of indicators in the areas of planning, execution, and provision separately for the logistics business processes of supply, production, and sales. The indicators of the quality of logistics business processes in terms of planning include the coefficients of processivity, continuity, adjustability, timeliness, and reliability of execution.To evaluate quality in terms of implementation, the list of evaluation criteria includes the following indicators: staff professionalism; exact fulfillment of all requirements; sufficiency of resources; quality of information exchange; effectiveness of the process. Prospects for further research are to establish directions for the development of the logistics management system, the formation of effective methods of managing logistics business processes based on their quality assessment.

The design for supply chain management of intelligent logistics system using cloud computing and the internet of things

AbstractImage recognition is the key to smart logistics systems. Traditional handwriting feature extraction is difficult to meet the requirements of image recognition. Deep learning is used for image recognition. Firstly, convolutional neural network (CNN) and deep Boltzmann machines under deep learning are introduced. Second, cellular neural networks are used to perform feature recognition and extraction on images. Finally, a Parzen classifier is used to classify the obtained image features. The novelty is that through the structural design and research of the intelligent logistics system, the CNN is combined to construct a management system of supply chain logistics of image recognition and information processing. The experimental results show that the recognition accuracy time of the proposed improved fusion algorithm on the Mixed National Institute of Standards and Technology data set is 198.85 s. When the improved algorithm achieves the same recognition accuracy, it takes 159.65 s. The recognition efficiency of the improved algorithm is 19.71% higher than that of the unimproved algorithm. In addition, when the unimproved algorithm reaches the maximum number of iterations, the error rate is 2.47%. The error rate of the improved algorithm is only 0.74%. This study provides a basis for improving the image recognition accuracy and has certain practical value.

MODELING METHOD IN STOCK MANAGEMENT HIERARCHICAL LOGISTICS SYSTEMS

The work highlights the issue of using the modeling method in inventory management of hierarchical logistics systems. The issue of the necessity of inventory management modeling as one of the key parameters of distribution logistics is substantiated. It has been proven that the hierarchical logistics system can generate flow processes according to Poisson’s law, which makes it possible to apply the theory of mass service systems in the formalization of the processes of incoming supplies of resources to replenish the stocks of the logistics center with further distribution of flows among regional branches. This method is based on obtaining optimal characteristics of the intensity of supply of resources in the section of a specific nomenclature, subject to restrictions on available working capital and the formation of a reserve stock for maintenance of repair works.

Assessment of pre-eclampsia and eclampsia health commodities’ supply chains in selected hospitals of Lagos State during COVID-19 pandemic

PurposePre-eclampsia and eclampsia (PE/E) are rising in Sub-Saharan Africa, including Nigeria. This study aims to evaluate the availability and logistics management of sixteen items from the Nigerian essential medicine list required for managing these conditions.Design/Methodology/approachA cross-sectional study in 50 health-care facilities in Lagos State, Nigeria, at the beginning of the COVID-19 pandemic by interviewing the facility’s main person in charge of health commodities. Data were recorded during the visit and in the previous six months using the adapted Logistics Indicators Assessment Tool (LIAT). In addition, descriptive analysis was conducted based on the World Health Organization availability index.FindingsThe availability of 13 (81%) of the commodities were high, and 3 (19%) were relatively high in the facilities, stock out rate during the visitation and previous six months varied with the commodities: urinalysis strip (22%) and (40%), hydralazine (20%) and (20%), labetalol injection (8%) and (20%), labetalol tablet (24%) and (24%) and sphygmomanometer (8%) and (8%). No stock out was recorded for 11 (69%) commodities. All the facilities observed 9 (75%) out of the 12 storage guidelines, and 36 (72%) had a perfect storage condition score.Limitations/ImplicationsCurrent state of PE/E health commodities in the selected facilities is highlighted, and the strengths and weaknesses of the supply chain in these health facilities were identified and discussed.Originality/valueThese commodities’ availability ranged from reasonably high to very high. Regular supportive supervision is germane to strengthening the logistics management system for these commodities to prevent the negative impact on the health and well-being of the people during the COVID-19 pandemic and post-pandemic.

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

With the rapid development of the Internet of Things (IoT), the logistics and transportation industry is booming. At the same time, with the advancement of AI technology, intelligent logistics is also gradually emerging, and the purpose of intelligent logistics is to use different types of automatic guided transport machines to replace people to handle and move products. At the same time, with the help of big data, cloud computing, artificial intelligence, sensor technology, and other technologies, we can achieve logistics automation. However, the current logistics robot creation platforms are diverse, which makes intelligent logistics robots diverse in variety and wide in application and also makes the creation and use of robots more challenging. Robot Operating System (ROS) is an open-source software platform that supports programming in multiple languages and has excellent adaptability. In addition, most of the currently used path planning focuses on a single target point, which is insufficient to support the current needs of multitasking in intelligent logistics. Therefore, this paper aimed to design an intelligent logistics management system based on ROS robot and proposed to use the A-star algorithm to calculate the shortest path of the robot so as to achieve the optimal path. In the simulation experiment, 20 ROS robots were selected and divided into two groups. In the logistics warehouse of different transportation nodes, 20 ROS robots were set up to transport goods of different weights in the experiment, and the transportation data were collected at last. The final simulation results have shown that the power consumption and response delay performance of the ROS robot are good, and the logistics transportation speed is significantly improved. In addition, compared with the traditional transportation method, the daily transportation weight of each robot is up to 310.1% and the monthly profit is up to 171%, which shows that the intelligent logistics management system designed in this paper is more efficient in logistics and transportation and can bring more profits.

Demand Forecasting of Spare Parts Using Artificial Intelligence: A Case Study of K-X Tanks

The proportion of the inventory range associated with spare parts is often considered in the industrial context. Therefore, even minor improvements in forecasting the demand for spare parts can lead to substantial cost savings. Despite notable research efforts, demand forecasting remains challenging, especially in areas with irregular demand patterns, such as military logistics. Thus, an advanced model for accurately forecasting this demand was developed in this study. The K-X tank is one of the Republic of Korea Army’s third generation main battle tanks. Data about the spare part consumption of 1,053,422 transactional data points stored in a military logistics management system were obtained. Demand forecasting classification models were developed to exploit machine learning, stacked generalization, and time series as baseline methods. Additionally, various stacked generalizations were established in spare part demand forecasting. The results demonstrated that a suitable selection of methods could help enhance the performance of the forecasting models in this domain.

Information Retrieval and Optimization in Distribution and Logistics Management Using Deep Reinforcement Learning

Resource balance is one of the most critical concerns in the existing logistic domain within dynamic transport networks. Modern solutions are used to maximize demand and supply prediction in collaboration with these problems. However, the great difficulty of transportation networks, profound uncertainties of potential demand and availability, and non-convex market limits make conventional resource management main paths. Hence, this paper proposes an integrated deep reinforcement learning-based logistics management model (DELLMM) to increase and optimize the logistic distribution. An optimization approach can be used in inventors and price control applications. This research methodology gives the fundamentals of information retrieval and the scope of blockchain integration. The conceptual framework of use cases for an efficient logistic management system with blockchain has been discussed. This research designs the deep reinforcement learning system that can boost optimization and other business operations due to impressive improvements in generic self-learning algorithms for optimal management. Thus, the experimental results show that DELLMM improves logistics management and optimized distribution compared to other methods with the highest operability of 94.35%, latency reduction of 97.12%, efficiency of 98.01%, trust enhancement of 96.37%, and sustainability of 97.80%.

ІМПАКТ-ІНВЕСТУВАННЯ ЯК СУЧАСНИЙ КОНЦЕПТ СТАЛОГО РОЗВИТКУ ЛОГІСТИЧНИХ СИСТЕМ

The article analyzes the principles of impact investing in the sustainable development of logistics systems, considers trends in logistics provision in the context of the sustainable development paradigm, and identifies the prerequisites, driving forces, and opportunities for ensuringthe sustainability of logistics systems at all levels. In addition, potential trends in their future development was analyzed. The sustaina-bility of a logistics system involves the efficient use of resources, cost reduction and process optimization. The author proposes a conceptual model of sustainable development of a logistics system. It con-tains two contours (strategic development contour and sustainable development contour). These con-tours in their interaction within the logistics system ensure its sustainable development in the long term. The basis is the sustainable development paradigm, and the main goal of the concept is to solve logistics problems not only in the interestsof the current needs of the economy, but also taking into account the right to meet the needs of future generations.The concept of "sustainable development of a logistics system" means the integration of sustain-able practices and principles into the operations and management of logistics systems. This involves balancing the economic, environmental and social aspects of supply chain management to ensure long-term viability and minimize the negative impact on the environment and society. It has been found that a sustainable logistics system should be aimed at reducing environmental impact through the use of environmentally friendly vehicles, energy-efficient technologies, waste man-agement, and reduction of greenhouse gas emissions. Another important aspect is the use of environ-mentally friendly packaging and materials. Consideration of social aspects, such as occupational safety, quality of life of employees, respect for human rights and ethical standards. To achieve these goals, it is important to develop socially responsible labor practices. Aspects of sustainable development require new approaches to the investment processes of logis-tics systems, such as impact investing. The article defines the criteria for impact investing and the di-rections for determining the effectiveness and efficiency of this type of investment, taking into account the specifics of the investment object. When evaluating impact investments in the logistics sector, the authors propose to take into account the following criteria: placeand importance of the logistics system in the supply chain or national economy; resilience of the type of logistics provision to economic down-turn and peculiarities of the system's functioning during stagnation (which allows assessing risks); social significance of the logistics system; provision of the logistics system with its own financial re-sources; level of support for the development of the industry and the degree of control by the State

ІННОВАЦІЇ В СФЕРІ ЛОГІСТИЧНОГО МЕНЕДЖМЕНТУ

The article conducts a study of innovative processes that are currently being implemented in the sphere of modern logistics business. It is stated that in modern conditions the importance of logistics management is acquiring special significance. One of the key requirements in the logistics market today is the integration of logistics processes and their interaction with all enterprise departments. It has been established that the latest technologies are being actively introduced into the logistics sector – the Internet of Things, artificial intelligence, blockchain, digitalisation, automation, etc. These innovations can have a significant impact on the efficiency and flexibility of logistics management in the economic activities of an enterprise. To solve this problem, it is necessary to improve the logistics management system. It is indicated that the transition from the traditional supply chain to networked logistics supplies activates the space for economic growth, optimises operations and improves service while reducing costs and working capital. It is noted that the digitalisation of entrepreneurial activity in the field of e-commerce obliges to take a fresh look at logistics as a tool for managing the supply chain in order to create new efficient work processes and determine the focus of changes that should take place in them. Digital supply chain management includes automation processes, the use of data analytics, management of electronic ordering systems and cargo tracking, etc. It is specified that innovations in the sphere of logistics management should concern not only the logistics chain, but also be implemented in the financial and operational areas of the enterprise. The main forms of innovation activity in the logistics management system are identified. A scheme for implementing innovations in the field of logistics management has been developed. A basic model of a digital supply chain management system is established. It is summarised that introduction of innovative forms of management into the system of logistics activities contributes to increase of efficiency of enterprise and forms an effective economic environment.

Design and supply chain management of intelligent logistics system using cloud computing under internet of things

Design and supply chain management of intelligent logistics system using cloud computing under internet of things

Design and supply chain management of intelligent logistics system using cloud computing under internet of things

Design and supply chain management of intelligent logistics system using cloud computing under internet of things

ІНТЕГРАЛЬНЕ ОЦІНЮВАННЯ ЕФЕКТИВНОСТІ ФУНКЦІОНУВАННЯ СИСТЕМИ ТИЛОВОГО ЗАБЕЗПЕЧЕННЯ ЗБРОЙНИХ СИЛ УКРАЇНИ

In the conditions of war, the priority task of the state becomes ensuring its national security. At the same time, the combat effectiveness of the army and its ability to protect the country from an aggressor depend on the effectiveness of the rear support system. But the functioning of the rear support system is affected by many factors that need to be evaluated. The purpose of the scientific article is to develop a methodical approach to assessing the effectiveness of the rear support system of the armed forces of Ukraine, taking into account external and internal influencing factors. Research methods are: method of logical analysis, graphical method, literature review method and method of taxonomic analysis. Based on the method of taxonomic analysis, the author developed a methodical approach that allows obtaining an integral indicator of the quality of the rear support system. The evaluation is proposed to be carried out by such groups of factors as: political, economic, technological and social factors. The advantages of the approach proposed in the study are that it allows to comprehensively assess the effectiveness of the rear support system of the Armed Forces, to take into account the factors of external and internal influence, and to adapt the list of indicators in the conditions of the transformation of the environment. The results obtained according to the proposed methodical approach indicate an annual improvement in the efficiency of the rear support system of the armed forces of Ukraine. But regardless of these, its level is still insufficient in the conditions of hostilities in Ukraine. The obtained results have important theoretical and practical significance for improving the efficiency of the management of logistics system of the national armed forces.

Логістичне управління енергетичними потоками: теоретико-методологічні засади

The article describes theoretical and methodological principles of logistic management of energy flows. It is appropriate to consider the energy flow as a set of energy resources circulating in the logistics system, as well as between the logistics system and its external environment in order to provide energy for logistics processes. A part of the energy flow is a component of the material flow. This applies, in particular, to energy resources that have a liquid, solid and gaseous material substance. Dimensionality of the energy flow can be expressed as the ratio of the amount of energy (in conventional units of fuel) to the unit of measurement of time (hour, day, month, quarter, year). The energy flow turns into a stock of energy resources if it is considered during the implementation of logistics operations at a certain point in time (except for electricity, which is quite difficult to accumulate in many types of economic activity). It has been established that the energy flow goes through the following stages: procurement stage, storage stage and use (transformation) stage. Approaches to calculating the amount of energy flow at the specified stages and the total amount of energy flow have been reasoned. The logistics management of energy flows should be understood as the process of strategizing, planning and controlling the flow of energy resources from the supplier to the business entity (as a logistics system), as well as in the intra-production logistics subsystem during energy use. The matrix of the logistic management system of energy flows in the process of energy supply (energy generation) and energy consumption has been developed. It is appropriate to consider the task of optimizing energy flows as minimization of the total logistics costs of business entities and territorial communities in the process of energy supply and energy use.