Logistics Center Research Articles

Logistics distribution centers as a tool for attracting small agricultural producers in agri-food supply chains

It is proved that modern logistics distribution centers play an important role in the formation of added value in agri-food supply chains and the inclusion of small agricultural producers in competitive supply chains. The classification of logistics centers are carried out and approaches to their definition are systematized. The stages of evolution of sales and distribution of agricultural products on the basis of cooperation, logistics distribution centers are analyzed and the conclusion on the need to create such centers in the sale of agricultural products is made. The foreign practice of creation of logistic distribution centers of agricultural products is generalized, and also criteria of their characteristic are allocated. It is argued that the main purpose of creating logistics distribution centers for agricultural products is to establish economic partnerships between producers and consumers, reduce transaction costs, create conditions for the inclusion of small producers in competitive supply chains, ensuring transparency of food, quality and safety. It is proposed to consider the logistics distribution center of agricultural products and food as an object of providing comprehensive logistics services and coordination of transportation, finishing (drying, sorting, etc.), storage, sales, as well as support for financial, customs operations, marketing research, providing information support, etc. The factors hindering the inclusion of small producers in agri-food supply chains are systematized, and the requirements of retail chains for the supply of agricultural products are highlighted, which highlights the existing difficulties that can be solved by creating logistics distribution centers. Models of formation of logistics centers are considered and the formation of a logistics distribution center of agricultural products on the basis of public-private partnership is substantiated, which unites in one chain all logistics, production processes, as well as sales, including and commodity exchange. Key words: logistics distribution center, agri-food supply chains, small producers, logistics services.

Pemilihan Model Arsitektur Terbaik dengan metode backpropagation Dalam Menganalis Produksi Perikanan Laut

The purpose of this study is the use of artificial intelligence to analyze the develop[pment of fishery production at TPI (Fish Auction Places) in Indonesia. Indonesia Logistic center throught the website. By using the Backpropagation method is a supervised artificial neural network where this method can assess the errors of each neuron after a set of data is processed. Tis also the goal of modifying the weights to train the neural network so that it can involve arbitrary input to output correctly. This research has several stages, namely training and testing wich will then be converted to several models to get the best results where the results found will later become the conclusions of the research.

Priorities for the development of the production infrastructure of the agro-industrial complex

The article identifies groups of infrastructure sectors: those that directly serve the process of production of agricultural products and raw materials, and industries and organizations that provide procurement, transportation and storage of agricultural products. The study of these infrastructure sectors, their significance and impact on the level of rural development and strengthening of the national economy. The authors evaluate a set of measures to increase the yield of cultivated land, one of which is the use of fertilizers.Along with agrochemical problems, the country's agriculture is facing acute problems with providing fresh water, increasing needs for infrastructure for marketing agricultural products, lack of industrial containers, lack of storage capacity for food products, underdevelopment of trade and logistics systems, insufficient number of transport and logistics centers, transport support for agricultural industries, and deterioration of roads. One of the ways to solve these problems was to improve the infrastructure for selling agricultural products and create a wide network of purchase points in all rural localities of the Republic and remote areas with a high concentration of sources of agricultural raw materials.The article also discusses measures for the implementation of state programs for the development of agricultural sectors. In particular, the actions of financial institution that implements the state policy on supporting and stimulating the development of agroindustrial complex, increasing the availability of funding of the subjects of agriculture, the financial institutions included in it, credit programs, their prospective opportunities in the development of infrastructure industries and agriculture as a whole are studied in detail.

Model for port service quality and intermodality assessment applying fuzzy logic

Port terminals, as the starting and ending points of the technological process in the transport of goods, are also logistic centers for the provision of services of loading/unloading and storage of goods. Improving the process of transporting goods and achieving competitiveness is not possible without quality port service and customer satisfaction with the service provided, and reduction of traffic congestion and environmental pollution within the guards in which the ports are positioned. This scientific research aimed to analyze, using scientific methodology, the factors influencing the assessment of port service quality and intermodality in the Port of Rijeka and to develop a model for port service quality assessment by implementing fuzzy logic. The model was tested by simulation based on the evaluation of the criteria of influential parameters with inaccurate and indeterminate input data. The test results provide an assessment of the quality provided by port service and intermodality. The results of the research will be used to improve the transport service planning process to achieve greater competitiveness for the port.

Конфигурирование терминально-складской инфраструктуры транспортного узла на основе развития метода экономико-географического разграничения грузопотоков

Purpose: To formulate proposals for configuring terminal-warehouse infrastructure for the placement of storage facilities inside a transport hub. Methods: Basing on the analysis of pub-lications in the trend of the research data, optimization geometric Euclidean model of freight process, embodied on the territory of a transport hub, was applied to find optimal cargo flow distribution by dividing the flow into parts representing “influence areas”. Results: optimiza-tion algorithm for freight process was developed in the article on the basis of classical integral calculus methods, the algorithm allows to discover those ones among many distributive center possible locations which allows in view of restriction complex to determine “influence area” of distributive center with the largest area in comparison with the initial area. Practical signifi-cance: Economic effect was obtained from base rental rate reduction that is due to possible change of logistic freight distribution center location outside dense urban development territo-ry where base rental rate is higher.

DETERMINING THE FEASIBILITY OF USING A LOGISTICS CENTER IN SUNFLOWER OIL ROAD TRANSPORTATION SUPPLY CHAIN

The Ukraine agro-industrial complex is one of the budget filling main sources. Therefore, it must be constantly modernized, invested in scientific developments and constantly updated equipment, which, in turn, will increase the main agricultural crops production profitability. Increasing the road transport efficiency as a whole, as well as increasing the sunflower oil road transportation efficiency is an important state task for Ukraine, especially in the Ukraine transport sector deep crisis conditions, caused by russian federation military aggression. When the sunflower oil supply chain building, several schemes for the transportation process organization are used - according to the direct option or with the logistics center use. The using a logistics center expediency in the supply chain for sunflower oil automobile transportation will be conducted on the determining basis the total transportation costs according to two schemes. In connection with the using natural research methods impossibility (large material costs), it is advisable to use mathematical modeling methods when conducting experimental studies due to their universality and high accuracy. The sunflower oil road transportation system mathematical model according to the direct option was built and the using the logistics center feasibility area for a given transportation volume was determined. The proposed sunflower oil road transportation models for two transportation options: direct option and using a logistics center correspond modern market conditions - minimal laboriousness and ease of implementation. When the transportation volume value is 100 tons and the transportation distance changes from 51 km to 536 km it is more appropriate to use the direct option and with an increase in the transportation distance, you need to choose the option using logistics centers, since the costs are much lower than with the direct option. Keywords: logistics center, supply chain, sunflower oil.

Location management for the supply of PD fluid via large neighborhood search based virus optimization algorithm

The facility location problem is extended by a new two-stage zero-one programming system (2S-ZOPS). It is a type of design optimization issue that exists in logistics implementations such as supply chain planning in healthcare or agriculture. Along with concerns regarding PD delivery time manner for connecting logistics centers and customers, recent studies have considered the zero-one location design model. This research discussed a route selection model for the 2S-ZOPS that did not exist in the published studies by taking into account the level of risk associated with physical appearance. The mathematical models were developed in response to a PD supply chain design that occurred in Thailand’s National Health Insurance Program. By combining the virus optimization algorithm (VOA) with a large neighborhood search (LNS), we created a hybrid metaheuristic method for solving the 2S-ZOPS. Experiments with real-world data demonstrated that the hybrid algorithm was efficient in terms of time consumption and solution quality, saving approximately 6% on total costs. The presented practice benefits not only the healthcare industry but also various other businesses.

Enabling the circular economy of bio-supply chains employing integrated biomass logistics centers - A multi-stage approach integrating supply and production activities

Studies in the agro-industry sector have shown the importance to evaluate the feasibility of an IBLC (a multi-product transformation plant). This paper develops a model to simulate the performance of an IBLC in Spain, using a combined approach: AHP, TOPSIS, and a hybrid simulation model. Results show that profits can be incremented by about 55.7% and environmental emissions of KgCO2e per tonne of bio-commodity produced, reduced by 24.2%. The scientific contribution covers the development of a simulation model that dynamically select suppliers based on a combination of social, environmental, and economic criteria. In addition, the model can be used to evaluate the economic and environmental feasibility of the IBLC by integrating the suppliers selection with the operations of a multi-product transformation plant.

An Improved Sparrow Search Algorithm for Location Optimization of Logistics Distribution Centers

In modern society where business development is booming, it is of great importance to investigate location optimization of logistics distribution centers. In order to achieve greater efficiency of distribution system, save the distribution costs and the construction cost of logistics distribution center, good point set method and decreasing nonlinear inertia weight are proposed to improve sparrow search algorithm (SSA) to solve the mathematical model for logistics distribution center location. First, in order to prevent SSA falling in local optimal, while improving the convergence speed and efficiency of SSA, good point set method and decreasing nonlinear inertia weight are applied to improve the SSA. The test results of eight benchmark functions show that the fitness value and convergence speed of the proposed ISSA are smaller and faster. Second, compared with SSA, WOSA and PSO, the ISSA has the lowest total cost for solving the mathematical model of logistics distribution center.

Location Selection for Regional Logistics Center Based on Particle Swarm Optimization

The location of a logistics center is very important in a logistics system, as the success of the location determines the whole logistics system’s structure, shape, and mode, and not only affects the logistics center’s own operating costs, performance, and future development, but also affects the operation of the entire logistics system. Therefore, the selection of the location for a logistics center has great significance for improving the efficiency of regional logistics and optimizing the structure of a logistics system. This study constructed a multi-factor constrained P-median site-selection model to optimize the locations of logistics centers to improve the efficiency of logistics and optimize the structure of the logistics system in a region. The results show that the optimal distribution of logistics center sites and the coverage of freight capacity demand derived from the particle swarm algorithm are more balanced than those derived by the other algorithm. Following the comparison of the results for the utility of the optimized layout points solved by the particle swarm algorithm and the immune genetic algorithm, it is concluded that the optimal fitness value obtained by the particle swarm algorithm is lower than the other. It is proven that the particle swarm algorithm of the P-median site-selection model under this multi-factor constraint has some reference value for the selection of the sites of multi-logistics centers.

A distribution center location optimization model based on minimizing operating costs under uncertain demand with logistics node capacity scalability

Logistics center location optimization is one of the core issues in the study of logistics networks. A sensible logistics center distribution can improve the efficiency of goods transportation and the operation efficiency of logistics enterprises. In this paper, we study the problem of optimizing the location of logistics distribution centers in logistics networks with the objective of minimizing the operating costs of logistics distribution centers. Then, we presents a distribution center location optimization model based on minimizing operating costs under uncertain demand with logistics node capacity scalability. Firstly, the future goods quantity prediction data of each node is obtained through the grey-residual Markov chain prediction model. Then, a logistics center location optimization model with three node expansion mechanisms is developed with the objective of minimizing the objective function. Finally, by using the forecast data of goods demand obtained by the grey-residual Markov chain prediction method, we conducted simulation experiments on the cost-minimizing logistics center location optimization model under three different node expansion methods. The corresponding simulation results are obtained by particle swarm optimization algorithm to prove the effectiveness of the model.

THE ROLE OF UKRAINIAN SPECIAL OPERATIONS FORCES WITHIN THE WAR IN UKRAINE

: The analysis of Ukrainian special operations forces’ capabilities is an important endeavor in studying the development of the war from Ukraine – as a consequence of the Russian Army invasion, in February 24, 2022. The actions of the Ukrainian elite military forces contributed to the failure of the initial Russian military planners’ strategic aims. National Ukrainian Army initiated the preparations to defend against an invasion force of the Russian Federation Armed Forces of 200,000 militaries, grouped in tactical units around the Ukrainian borders. Special operations Ukrainian forces had the significant role of stopping Moscow’s objectives established at the beginning of the Russian invasion and of obtaining these remarkable results within the fights against the Russian army’s units; they stood out especially within the planned action of defeating the capital of Ukraine, Kyiv. The role of Ukrainian special operations forces within the war in Ukraine consisted in bold actions behind the adversaries’ lines, resulting in destroying certain command points and in eliminating several important commanders from the command chain of the Russian Federation invasion forces. Ukrainian special operations forces engaged efficiently the fight with the Russian elite forces that landed in the neighborhood of Kyiv and also blocked the military actions that intending to get the control over certain strategic objectives. Interrupting the logistic flow of the Russian Armed Forces, destroying the Russian logistic centers from Ukrainian and Russian territory, as well as organizing resistance cells for guerrilla fight within the Ukrainian territories occupied by the Russians are among the successful missions of the Ukrainian special operations forces. The endeavor of the current article is to analyze the Ukrainian special operations force’ transformation process since 2014 – an evolution from a structure specific for the „Spetsnaz” and Soviet Union (U.R.S.S) to the current capabilities and modern endowment, driven upon a development & training program, commonly developed with special forces units from NATO armies.

Юг России: социально-экономическая траектория макрорегиона (2000–2020-е гг.)

The article examines the main directions of social and economic dynamics of the southern macroregion of Russia at the beginning of the 21st century. The development of these territories in the 2000–2010 was determined by a complex correlation of the influence of the federal center, managerial practices of regional authorities, activities of local, Russian and international businesses, demographic and socioeconomic processes of various scales (metropolization, interregional migration, depopulation, the flow of the working population into the service sector). Generally, in the last 20–25 years, the southern Russian regional economies demonstrated the stability of their sectoral structure and several main specializations. This allowed the South of Russia to remain as the leading granary of Russia, the epicenter of its tourist and recreational complex, the most important transport and logistics center in the international trade system. In 2000–2010, the development of the near-Caspian hydrocarbon resources became noticeably more active. The dynamic growth of the economy and social sphere of the South of Russia was largely ensured by the active development of the Azov-Black Sea zone, which concentrated a significant share of the human and economic potential of the macroregion. A new period in the social and economic dynamics of the South of Russia begins in the spring of 2022. The stable positions of the macroregion in the Russian agroindustry, the recreational sector and the system of transport communications give us reasons to believe that these economic niches will remain central ones for the South of Russia for the entire foreseeable future. But the scale of ongoing and upcoming changes makes inevitable a fairly significant correction in the southern Russian economic specializations of the second order, the current composition of which will respond to the international and all-Russian market conditions. It is currently not possible to predict the directions and timing of these shifts, since they will depend on the resulting set of factors of different scales that represent variables.

Analysis of Airport Optimal Location in Papua Province as a Support for Logistics Center Distribution Development

Papua is the largest province in Indonesia. It covers an area of 316,552.6 km2. Papua Province consists of 28 regencies and one city, with a population of 4.03 million in 2020. The main mode of transportation as a link between regions in this province is air transportation, in addition to the development of sea transportation through the Sea Toll program and land transportation with the construction of the Trans Papua Road. This study takes the point of view of the transportation network, especially for air transportation, as the mode of choice backbone of the logistics distribution in the Papua area. Considering these conditions, this study considers that the airport is a logistics node, so it is necessary to inventory the number of airports in Papua Province. The method of this study was the shortest path which was included in a network model for determining the shortest and various routes. It analyzed the answers to questions such as which one will be the shortest, fastest, or cheapest route to go to a location and determined locations for logistics facilities, such as distribution centers and warehouses. The study's results were the object of this research is the airport listed on the website. Analysis of the shortest route between airports in the Instrument Flight Rules (IFR) Route Papua area network produced a distance matrix between airports. It resulted four scenarios of the number of airports and their respective service areas.

Logistics Center Location-Inventory-Routing Problem Optimization: A Systematic Review Using PRISMA Method

A traditional logistics decision model mainly studies the location decision of logistics distribution centers, storage inventory management, vehicle scheduling, and transportation routes. The logistics location-inventory-routing problem (LIRP) is an integrated optimization of the three problems—a comprehensive optimization problem for the whole logistics system. This review paper uses the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) method to review the literature on LIRP systematically. A total of 112 LIRP-related studies published between 2010 and 2021 are reviewed and classified based on 10 abstract and citation databases. The classification includes four aspects: problem characteristics, demand data types, model-based solutions, and application fields. From this systematic review, a few observations are recorded. First, the most popular problems among researchers are the multi-period multi-product problem, the multi-echelon single-link problem, and the multi-depot multi-retailer problem. Based on the objective function, the minimization of total supply chain cost is the primary concern of the LIRP literature. Researchers also favor other problem characteristics such as multi-objective programming, inventory control replenishment policy, and a homogeneous fleet of vehicles. We found that stochastic data are a common factor in an uncertain environment and have broad coverage. When dealing with the LIRP, heuristic and metaheuristic algorithms are the most widely used solution methodologies in the literature. In the application field of LIRP, the perishable products logistics network is mentioned in most applications. Finally, we discuss and emphasize the challenges of and recommendations for future work. This paper provides a systematic review of the literature on LIRP based on the PRISMA method, which contributes vital support and valuable information for researchers interested in LIRP.

The Business Analysis of Electric Vehicle Charging Stations to Power Environmentally Friendly Tourism: A Case Study of the Khao Kho Route in Thailand

The growing demand for electric vehicle charging stations is due to the increasing number of electric vehicles due to the rapid development of electric vehicle production and people buying more. This has also increased the demand for electric vehicle charging stations to travel between cities. This is because most combustion cars nowadays use fossil fuels. It harms clean air, producing carbon dioxide (CO2), PM2.5, and greenhouse gas emissions, resulting in climate changes and natural environmental impacts. Directly affect people in terms of health, living, and present life. By emphasizing the participation of business and government sectors, Thailand has encouraged investment in producing and importing electric vehicles to replace fossil fuel combustion. They also promoted the development of electric cars to be more efficient and run longer distances. The cumulative number of electric vehicles from 2017 to the present is increasing, making business opportunities for EV charging stations available in Thailand. From business model analysis was designed in 3 scenarios, resulting in Scenario1 Normal charger 6 outlets, in which the cost is low, the cost recovery time is the most, and it has a low net profit margin installed in shopping malls, restaurants, and residential condominiums. Scenario2 Quick charger 6 outlets take less time to charge. A high charging and increased investment cost have a short payback period installed in front of convenience stores and the current gas station. Scenario3 is a combination of an electric vehicle charging station with a normal charger and quick charger total of 2 outlets, installed in large areas such as current gas stations, logistics centers, and department stores with souvenir shops and convenience stores. This information can help analyze costs and plan investment decisions on the ownership of electric vehicle charging stations. In addition, electric vehicle charging station scenarios can be compared to predict the net profit margin of the business model.

Research on Logistics Distribution Center Location Based on Hybrid Beetle Antennae Search and Rain Algorithm.

The location of logistics distribution centers is a crucial issue in modern logistics distribution systems. In order to obtain a more reasonable solution, an effective optimization algorithm is essential. This paper proposes a new hybrid method, named the beetle antennae search-rain algorithm (BRA), for the problem of logistics distribution centers' location. The innovation of the BRA is embodied in three aspects. Firstly, the beetle antennae search (BAS) algorithm is embedded into the rain algorithm (RA); thus, the BAS is improved from an individual search to a swarm intelligent search and the global search ability is improved. Secondly, the search direction strategy of the BAS algorithm is incorporated into the RA, which can improve response speed while ensuring optimization performance. Finally, the search precision is improved by the mechanism of eliminating the inferior solution and generating a new solution. The BRA is tested on 10 benchmark functions and applied to solve the logistics distribution centers' location problem. The performance of the BRA is compared to that of several classical heuristics by using relevant evaluation indexes and dynamic optimization convergence graphs. Experimental results show that the BRA outperforms the BAS algorithm, the RA and some other classic heuristics. It is also revealed that the BRA is an effective and competitive algorithm for logistics distribution centers' location.

Formation of the ecological infrastructure of the Lviv city

A modern city is a complex, dynamically changing natural and anthropogenic system that must provide its residents with a comfortable and safe living environment. Along with the traditional elements of the city's infrastructure: the transport system, sewerage, water supply, heat and electricity supply, and elements of the social infrastructure (schools, hospitals, etc.), the role of the city's ecological infrastructure is growing. The latter includes both artificial and natural objects that provide environmental services and reduce the negative anthropogenic impact of the urban environment on nature and living organisms. Such components are the city's green space and communal systems that neutralize the most pronounced manifestations of anthropogenic influence, such as ensuring waste disposal. The state of the urban ecosystem depends on a complex combination of structure, activity, risks, and intentions of its inhabitants, the state of the economic and financial and economic system, the stability of the natural base expressed in the landscape, and the city's visibility, the intensity of industrial activity and the level of environmental education. The prerequisite for developing the city as a dynamic system is ensuring its sustainability. According to the modern vision, a sustainable city is based on three pillars: economic, ecological, and social, which must develop harmoniously. Therefore, the ecological infrastructure of the city should be based on the appropriate level of technology and economic development. Lviv is a large city in Ukraine and the largest city in the territory of the western regions, a logistical and cultural center. At the same time, the ecological infrastructure of the city is mainly at the formation stage. A meaningful sign of its puberty is the lack of an effective waste management system and an imperfect air quality monitoring system. Municipal sewage treatment facilities and the city's transport system need improvement. The city's green infrastructure as a subsystem of the ecological infrastructure causes relatively few comments. However, it should be noted that its main structure has been updated for decades, and new microdistricts with active construction may need more green space. In order to improve the environment of Lviv, it is necessary to improve the elements of its ecological infrastructure with the involvement of best practices of well-known cities of the world.

Analysis of bullwhip effect and inventory cost in the online closed-loop supply chain

This paper focuses on the impact of return decisions on the bullwhip effect in the online closed-loop supply chain. We investigate the optimal return modes when the inspection system is undertaken by the logistics centre or the remanufacturer. Then, we optimise the online retailers’ return decisions of minimising the inventory cost and bullwhip effect under different supply chain circumstances. Distinctive from previous conclusion that the inspection operation is usually undertaken by the remanufacturer to sort the returned products, the analysis results reveal that the optimal decision of mitigating the bullwhip effect in most cases is to set the inspection system on logistics centre. Besides, consumers’ return and exchange behaviours in e-commerce have different impacts on the supply chain efficiency. The product return can not necessarily mitigate the information distortion in online closed-loop supply chain. The research provides insights for managers to strategise about return policies and resource allocation in different e-commerce contexts.

Calculation model of food supply planning in the system of the unified distribution logistics center of the Krasnoyarsk Territory in DRP technology

Calculation model of food supply planning in the system of the unified distribution logistics center of the Krasnoyarsk Territory in DRP technology