Logistics Routing Research Articles

Integration of Saving Matrix-Fishbone as Monitoring of Logistics Route PT. XYZ

Indonesia, with 2/3 of its territory being oceans, has the potential to have abundant natural resources in the form of salt. PT. XYZ is the only state-owned company that produces products salt start from process upstream until Downstream, with Wrong One product flagship is salt diet. The biggest challenge in Supply Chain Management at the company is capability compete in providing competitive prices so it is necessary to properly study the costs in the process of distribution and logistics do not charge much in the components of the Cost of Good sold . In study This discuss related determination router best with use method saving Matrix by comparing the Neasrest Insert and Nearest Neighbor algorithms , which is then carried out analysis using Fishbone Diagram in mapping the source of constraints in the distribution process and logistics that focus on 5M+1E elements. The results of this study can be determined by 4 shipping routes according to the Nearest Neighbor algorithm . Improvements to problems that arise in existing conditions can be carried out by adding tools and infrastructure to the loading process facilities, such as hand pallets, forklifts as well as the construction of a loading dock including SOPs that regulate and can be used to measure effectiveness process loading. Indonesia, with 2/3 of its territory being oceans, has the potential to have abundant natural resources in the form of salt. PT. XYZ is the only state-owned company that produces products salt start from process upstream until Downstream, with Wrong One product flagship is salt diet. The biggest challenge in Supply Chain Management at the company is capability compete in providing competitive prices so it is necessary to properly study the costs in the process of distribution and logistics do not charge much in the components of the Cost of Good sold . In study This discuss related determination router best with use method saving Matrix by comparing the Neasrest Insert and Nearest Neighbor algorithms , which is then carried out analysis using Fishbone Diagram in mapping the source of constraints in the distribution process and logistics that focus on 5M+1E elements. The results of this study can be determined by 4 shipping routes according to the Nearest Neighbor algorithm . Improvements to problems that arise in existing conditions can be carried out by adding tools and infrastructure to the loading process facilities, such as hand pallets, forklifts as well as the construction of a loading dock including SOPs that regulate and can be used to measure effectiveness process loading. Keywords : Salt, logistics, diagram fishbone, saving matrix, nearest insert, nearest neighbors.

Bayesian Neural Network-Based Demand Forecasting for Express Transportation

The rapid development of e-commerce in recent years has driven the growth of the logistics service industry, which in turn has led to a significant increase in express delivery volume. Predicting express delivery volume accurately and in advance can help companies allocate various resources reasonably and provide the basis for predicting express delivery demand. To predict the specific transport volume of XX Express Company's logistics routes on April 28th and 29th, 2023, this article builds two Bayesian prediction models based on the company's historical transportation data as the training set, one for predicting the opening of logistics routes and the other for predicting express delivery quantity. This approach reduces the impact of inaccurate predictions due to logistics routes not being opened properly and improves the accuracy of the prediction model. It provides decision support for optimizing resource layout for express delivery companies.

УПРАВЛІННЯ ЛАНЦЮГАМИ ПОСТАЧАНЬ В КОНТЕКСТІ ДЕСТАБІЛІЗАЦІЇ БІЗНЕС-СЕРЕДОВИЩА

The article is devoted to the study of issues related to the management of supply chains in the conditions of destabilization of the business environment during the martial law in Ukraine. In particular, the impact of the war in Ukraine on modern international supply chains and the reasons for the increase in transportation costs are analyzed. It is emphasized that the war in Ukraine due to the Russian attack led to the destruction and damage of the transport and logistics infrastructure the suspension of port operations in Ukraine, which in turn affected the efficiency of supply chains, changes in logistics routes, and as a result, the prices of goods and services. Attention is focused on the fact that the supply chain combines a set of different types of activities and is a complex business process in the combination of manufacturers and retailers at each stage of the distribution process from raw materials to delivery to the final consumer. It has been proven that the first disruptions in supply chains occurred due to the coronavirus pandemic, but military actions also had an additional impact, which ultimately created some uncertainty in the management of global supply chains and their inefficiencies. Four groups of key performance indicators of the supply chain are distinguished, namely, those related to the logistics product; with the search for information and financial sources; with transportation and pricing. It is proposed that the key performance indicators of the supply chain should be taken into account when forming a business strategy for the development of an enterprise in the context of a destabilizing environment, which will ensure success in the future. In the formation and management of supply chains, the most acute problem is uncertainty, which creates unpredictability of risks, complicates the process of their identification, assessment, development of a risk management strategy and monitoring. To support the reliability and stability of supply chains, a generalized scheme of risk management in supply chains has been developed. The implementation of such a scheme allows you to reduce risks, operational costs, increase key performance indicators of the supply chain, adhere to the environmental friendliness of business processes, and improve the level of customer service in conditions of destabilization of the business environment.

Ukraine’s debt security in the context of military conflict

In the context of military conflict, security issues come to the fore in all spheres of state life. As the combat capability of the army largely depends on the financing of its needs, the problem of finding additional financial resources is becoming more acute. However, the economy is currently unable to cope with this task due to the destruction of the material and technical base and logistics routes, military mobilisation of some employees, the outflow of labour resources abroad and other factors resulting from the armed aggression. Therefore, the search for ways to improve debt security in the context of a military conflict is of utmost importance.
 The purpose of the article is to identify the ways to increase the level of debt security of Ukraine's economy. To achieve this goal, the state, dynamics and structure of public and publicly guaranteed debt for 2013–2022 have been analysed. It has been established that over the past ten years, the volume of total public debt has been steadily increasing. This was mainly due to an increase in such components as direct public and external debt. The fastest growth in total public and publicly guaranteed debt was in the years of military operations.
 The analysis of the state debt security indicators has shown a deterioration in the state of debt security and the approach of a debt crisis. Due to the significant complication of the conditions in which Ukraine's economy has been operating over the past year, it is proposed to revise the Medium-Term Public Debt Management Strategy for 2021–2024 to define new targets and approaches in this area. Currently, the Ministry of Finance's main task is to restructure domestic and external debt.
 In order to increase the level of debt security of Ukraine, it has been proposed to initiate the development of an international protocol for debt cancellation for countries affected by armed aggression. In the course of domestic debt restructuring, it has been suggested that the yield on domestic government bonds should be reduced, but this can only be done if monetary policy is changed.

An Operational Capacity Assessment Method for an Urban Low-Altitude Unmanned Aerial Vehicle Logistics Route Network

The Federal Aviation Administration introduced the concept of urban air mobility (UAM), a new three-dimensional transport system that operates with a fusion of manned/unmanned aerial vehicles on an urban or intercity scale. The rapid development of UAM has brought innovation and dynamism to many industries, especially in the field of logistics. Various types of unmanned aerial vehicles (UAVs) for use in transport logistics are being designed and produced. UAV logistics refers to the use of UAVs, usually carrying goods and parcels, to achieve route planning, identify risk perception, facilitate parcel delivery, and carry out other functions. This research provides a method for assessing the operational capacity of a UAV logistics route network. The concept of “logistics UAV route network operation capacity” is defined, and a bi-objective optimization model for assessing the route network’s operating capacity is developed. The first objective is to maximize the number of UAV logistics delivery plans that can be executed in a fixed operation time. The second objective is to minimize the total operational impedance value in a fixed operation time. To solve the bi-objective optimization model, the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is utilized. A UAV logistics route network with 62 nodes is developed to assess the rationale and validity of the proposed concept. The experiments show that with an increase in operation time, the route network’s optimal operational capacity gradually increases, the convergence speed of the algorithm slows down, and the optimization magnitude gradually reduces. Two key parameters—operational safety interval and flight speed—are further analyzed in the experiments. According to the experiments, as the safety interval increases, the route network’s average operational capacity steadily diminishes, as does its sensitivity to the safety interval. The average operational capacity steadily rose with the rise in flight speed, especially when the UAV logistics flight speed was between 10 m/s and 10.5 m/s. In that range, the operational capacity of the route network was substantially impacted by the flight speed.

ANALYSIS OF MARITIME TRANSPORT ACTIVITIES OF UKRAINE IN THE CONTEXT OF ENSURING GLOBAL SECURITY

Topicality. russia's aggression against Ukraine was the main factor behind the food crisis and the increase in food prices at the international level. Acceptable logistics routes were blocked. Domestic water transport, rail transport and road transportation of goods were not able to export enough crops to ensure global food security. All these pressing issues in the field of maritime transport in Ukraine prompt us to investigate the nature of the problem.Aim and tasks. The purpose of the article is to analyze the activities of Ukraine's maritime transport based on national and global security.Materials and methods. The study was based on the results of scientific works of leading scientists in the field of maritime transport development and ensuring national, economic and food security. In writing the article, the methods of synthesis, theoretical generalization, empirical and analytical models of scientific research were applied.Research results. The study analyzes the activities of the ports of Great Odesa under the Grain Agreement (for the year of the agreement's existence). A significant impact on the disruption of the systematic operation of the grain corridor is caused by the russian federation, which led to a complete blockade of the Pivdennyi port and significant damage to port infrastructure, grain terminals and elevators in Odesa and Odesa region. The ports of Great Odesa exported 32.8 million tons of agricultural food products. In total, 1006 vessels left the ports of Great Odesa. The most active exporting countries are: China (8.0 million tons), Spain (6.0 million tons), Turkey (3.2 million tons), Italy (2.1 million tons), the Netherlands (2.0 million tons), Egypt (1.6 million tons) and Bangladesh (1.1 million tons).Conclusion. The analysis shows that for the further smooth functioning of the Black Sea Initiative, it is necessary to involve more influential international organizations in its regulation; to improve the institutional and economic system of maritime transport and introduce mechanisms that will encourage it to compete at the international level; to optimize the logistics supply chains of cargoes, to improve the multimodal approach to the functioning of the transport system of cargo transportation.

Міжнародно-правова база захисту глобальної продовольчої безпеки

Ukraine is historically known as the "bread­basket of Europe and the world" due to its significant agricultural production. The issue of food insecurity in the world, caused by the russian federation as a result of the full-scale aggression against Ukraine, launched on February 24, 2022, has become a critical concern in the international stage. An environmental crisis with far-reaching repercussions for the country’s agricultural sector, together with the blocking of Ukrainian logistics lead to an increase in prices for agricultural products, as well as an increase in the risk of famine in countries dependent on Ukrainian agricultural exports. The aim of the research is to define the norms of international law regarding global food security and trade in agricultural products, which have been violated by russia in order to develop a mechanism of responsibility for these violations and compensation for the damage caused. The methods of legal analysis, historical legal and systemic analysis are applied. Analysing the repercu­ssions of the russian federation’s actions for global food security, the article examines various relevant international legal frameworks and instruments aimed at safeguarding food security and ensuring access to sufficient, safe, and nutritious sustenance for all. By assessing the impact of the russian invasion on logistics routes, trade networks, and distribution mechanisms, this article elucidates the far-reaching implications for the timely and efficient delivery of agrarian goods to international markets. Additionally, the study highlights the role of international agreements in addressing the challenges associated with disrupted logistics in the agricultural sector. This article examines the scale of environmental damage and losses inflicted on Ukraine’s agrarian landscape and scrutinizes these impacts through the prism of international legal principles.

PROSPECTS FOR EXPANDING INTERNATIONAL ACTIVITIES OF UKRAINIAN COMPANIES IN THE COFFEE AND COFFEE EQUIPMENT MARKET

The results of the operation of international companies have a significant impact on the economy of each country, allow to build close foreign economic ties with international partners. In today’s economic conditions, international companies have particularly acutely felt the impact of the war in Ukraine on their functioning, which is caused by the destruction of logistics routes, a decrease in market demand as a result of consumer insolvency, etc. The success of management of international companies depends on the peculiarities of management, as well as on the type of international activity and the field of management of the enterprise under study. The coffee market is developing dynamically in the world, the intensification of its development in Ukraine took place about a decade ago. Due to the high demand in the market, Ukrainian enterprises are quite successful in selling imported coffee equipment, as well as using foreign supplies of coffee for the production of ready-made drinks. The study of an enterprise operating in the field of the coffee industry is currently an urgent issue that allows us to determine the prospects for the development of this area of domestic business. The article analyzes the current state of the world market of coffee machines and coffee, which shows that the United States imports the most coffee machines, with a share of 23 % in world imports. An important place in the import of this product occupied by Germany, France, Great Britain, Australia, and China, whose import shares range from 6.8 to 2.13 %. The dynamics of import volumes of the TOP-10 importers of coffee machines to Ukraine in 2020-2022 analyzed. The geographical structure of imports of coffee machines to Ukraine in 2022 is studied. The conditions for importing coffee equipment from Italy to the countries of the largest importers identified. A comparison of tariffs for the import of coffee equipment from Romania to Ukraine and the largest import competitors carried out based on which promising directions for the development of the domestic coffee market and coffee equipment are proposed.

Recent Advances of Solutions Algorithms for Logistics Routing Problems

Nowadays, the business landscape is highly focused on establishing efficient logistics systems, with numerous companies striving to gain a strong foothold in the global market and achieve maximum productivity and cost effectiveness [...]

Future Potential of Trans-Caspian Corridor: Review

Background: The Middle Corridor, a transport route from Asia to Europe that also facilitates major energy projects through the Caspian Sea and its surrounding countries, has gained even more attention after the intensification of the conflict in Ukraine in 2022. Methods: On the basis of major scientific papers on the topic, foreign policy addresses from The Diplomat and studies by the United Nations and Asian Development Bank Institute, a framework with five aspects was created. In addition, two interviews with sector stakeholders were conducted to apply the framework and determine the relevance of the route to Finnish and Estonian economies. Results: A multifaceted overview of the current economic, political, and infrastructural state of the Trans-Caspian trade route is given. The practical value of the article lies in creating a framework for evaluating the route for related economies and testing this out for the Finnish and Estonian economies. Conclusions: Despite the challenges, there are enormous opportunities in this logistics route, especially with the restrictions facing Russia due to western bloc sanctions. Finland and Estonia, however, are suffering under the effects of war in Ukraine and the related sanctions, which has hindered the capacity to further enhance development projects.

Regional Logistics Routing Optimization System Based on Fractional Differential Equation Modeling

Abstract The fractional microanalysis method established an optimal solution for the regional logistics distribution route. Firstly, the optimal problem of regional logistics transport routes is studied. A regional logistics information integration platform based on a fractional differential equation is constructed. The data of this platform can be used better to study the influence factors of road traffic cost. The objective and limitation of the model are obtained, and the transportation route of the system is established. The differential equation of integral order is used to solve the problem. Experiments show that the algorithm is effective and practical.

Adapting Multimodal Transportation Infrastructure to Changing Transport and Logistics Routes

Adapting Multimodal Transportation Infrastructure to Changing Transport and Logistics Routes

Prospects of maglev transport in the unified integrated transport system of the Eurasian Economic Union

Background: The changes in the geopolitical situation that began in 2022 had an impact on the transport industry of the Russian Federation and the member countries of the Eurasian Economic Union. There was a need to reorganize supply chains and form logistics routes taking into account new realities while respecting the mutual interests of all participants in transport and economic and geographical processes. The development of Eurasian transport corridors and the implementation of infrastructure projects using innovative approaches continues.
 Aim: to consider the prospects of using maglev transport technology in the space of the member countries of the Eurasian Economic Union.
 Materials and methods: the research methodology is based on the analysis of logistics methods, socio-economic analysis, as well as macroeconomic methods. The information base of the study is based on official legal and methodological information of the authorities of the Russian Federation and the Eurasian Economic Commission.
 Results: as a result of the study, the niche of maglev transport in the unified integrated transport system of the Eurasian Economic Union is determined, the expected effects of the introduction of maglev transport are described at a qualitative level.
 Conclusion: the study confirms that innovative logistics solutions are needed in modern conditions for the development of international transport corridors. The proposed neuro-linguistic approach substantiates the necessity and effectiveness of the introduction of maglev transport into a unified integrated transport system of the Eurasian Economic Union as its integral element.

Inventory Policies and Supply Chain Coordination under Logistics Route Disruption Risks

Predictable logistics disruptions due to scheduled lockdowns for large-scale events such as the Olympic Games may not only reduce supply chain profits, but also increase carbon emissions. To help solve these problems, an emergency transit policy to be applied to the logistics path is an effective solution. However, optimal inventory control is needed. This paper proposes an optimization model to control ordering and inventory policies for decentralized and centralized supply chains. The model considers the logistics path damping coefficient, the logistics path acceleration coefficient, and the vehicle loading capacity ratio in emergency transit. Our major findings include the following. First, supply chain profits under centralization are confirmed to be higher than under decentralization. Second, a price discount mechanism can achieve supply chain coordination. Third, the manufacturers in a centralized supply chain are more inclined to choose a logistics path with a high acceleration coefficient in order to let their cargo arrive quickly and to reduce the impact of the lead time demand fluctuations. Finally, the implications of our research results for carbon emission reductions are discussed.

Development of Heuristic Approaches for Last-Mile Delivery TSP with a Truck and Multiple Drones

Unmanned Aerial Vehicles (UAVs) are gaining momentum in many civil and military sectors. An example is represented by the logistics sector, where UAVs have been proven to be able to improve the efficiency of the process itself, as their cooperation with trucks can decrease the delivery time and reduce fuel consumption. In this paper, we first state a mathematical formulation of the Travelling Salesman Problem (TSP) applied to logistic routing, where a truck cooperates synchronously with multiple UAVs for parcel delivery. Then, we propose, implement, and compare different sub-optimal routing approaches to the formulated mFSTSP (multiple Flying Sidekick Travelling Salesman Problem) since the inherent combinatorial computational complexity of the problem makes it unattractable for commercial Mixed-Integer Linear Programming (MILP) solvers. A local search algorithm, two hybrid genetic algorithms that permutate feasible and infeasible solutions, and an alternative ad-hoc greedy method are evaluated in terms of the total delivery time of the output schedule. For the sake of the evaluation, the savings in terms of delivery time over the well-documented truck-only TSP solution are investigated for each proposed routing solution, and this is repeated for two different scenarios. Monte Carlo simulations corroborate the results.

Optimization Method of Green Logistics Route Based on Computer Intelligent Technology

Optimization Method of Green Logistics Route Based on Computer Intelligent Technology

Turkish-Chinese Cooperation within the Framework of the New Silk Road Initiative

The post-Soviet republics of Central Asia are becoming the arena of the geopolitical struggle between China and Turkey, which are interested in new logistics routes. Against the background of the growing economic presence of Turkey and China, the role of Russia in the region is also changing. Turkey believes that the countries of Central Asia are an important part of the trade route with China. The development of such supply chains has been discussed before, but now this issue is even more relevant. Interest is also shown in Beijing, but they are increasing transportation on Russian railways. It should be understood that all the countries of Central Asia, and especially Kazakhstan, are pursuing the so-called multi-vector foreign policy, which consists in the fact that Nur-Sultan (Astana) is trying to develop cooperation with Russia, China, the USA, the European Union and Turkey. The development of cooperation between the Central Asian states with these countries is explained by their desire to get the maximum benefi t from all external partners, they consider it pragmatic not to refuse any forms of partnership that they are off ered. Beijing has not yet changed its policy towards the countries of Central Asia and adheres to the previous strategy: emphasis on the economy, non-interference in internal aff airs and the formation of a positive image of the country. At the same time, China is interested in the functioning of existing transport and logistics routes, stable economic development and political stability of the region. Since the early 1900s, Turkey has been trying to play the role of the leader of the Turkic community; it was the fi rst of all countries in the world to recognize the independence of the countries of Central Asia (CA). However, interaction within the framework of the Turkic Council, created by Turkey in 2009, which includes most of the Central Asian countries, takes place largely in a cultural and humanitarian vein. The echo of Western sanctions could not but aff ect the Central Asian countries, since they traditionally have close and intensive economic ties with Russia, including through integration associations (CIS and the EAEU to the CSTO) and fi nancial institutions. Against the backdrop of US and EU pressure on the elites of the Central Asian countries, Eurasian integration with Russia and China does not allow them to succumb to provocations from the West.

THE EURASIA CANAL PROJECT IN THE CONTEXT OF THE CHINA’S BELT AND ROAD INITIATIVE

In the conditions of high turbulence in international relations and the aggravation of the political situation, the search for new logistics routes and transport corridors for the development of cross-country collaboration is relevant. From this point of view, the Eurasia Canal project is important due to its potential to expand logistics routes, as well as reduce the burdensome effects of sanctions restrictions. The project is relevant in the context of China's Belt and Road strategic initiative. The article discusses the prospects of the project, its main technical, economic and investment indicators, identifies the problems faced by the project participants.

Green city logistics path planning and design based on genetic algorithm.

Effective logistics distribution paths are crucial in enhancing the fundamental competitiveness of an enterprise. This research introduces the genetic algorithm for logistics routing to address pertinent research issues, such as suboptimal scheduling of time-sensitive orders and reverse distribution of goods. It proposes an enhanced scheme integrating the Metropolis criterion. To address the limited local search ability of the genetic algorithm, this study combines the simulated annealing algorithm's powerful local optimization capability with the genetic algorithm, thereby developing a genetic algorithm with the Metropolis criterion. The proposed method preserves the optimal chromosome in each generation population and accepts inferior chromosomes with a certain probability, thereby enhancing the likelihood of finding an optimal local solution and achieving global optimization. A comparative study is conducted with the Ant Colony Optimization, Artificial Bee Colony, and Particle Swarm Optimization algorithms, and empirical findings demonstrate that the proposed genetic algorithm effectively achieves excellent results over these algorithms.

Research on logistics Route Optimization based on AFSA

Based on the characteristics of logistics goods, in the process of logistics to choose a reasonable or optimal path, will save more logistics costs. In the process of using artificial fish swarm algorithm to find the optimal path planning, through the artificial fish swarm algorithm to improve the visual range, congestion factor and other factors, and record and mark the feasible solution, the target point of the fish swarm trajectory, form the feasible solution of the path planning and select the best solution, to achieve the optimal logistics path, reduce the cost of goods logistics.