Logistics Center Location Research Articles

Extended VIKOR Method based on Interval-Valued Intuitionistic Fuzzy Numbers for Selection of Logistics Centre Location

Identifying the appropriate location for logistics centres (LC) is key to gaining and maintaining a competitive advantage and increasing the efficiency of supply chain activities. Increasing customer expectations, efforts to reduce logistics costs and the intensity of competition in the logistics sector have led to the establishment of many new LMs in recent years. These centers contribute significantly to increasing efficiency in freight transportation, optimizing logistics services and reducing the traffic. The increasing importance of LCs and the significant impact of their location on logistics activities have made the choice of installation site a strategic consideration. However, evaluating LC location alternatives is a complex process that must take many factors into account. The aim of the present study is to propose an extended VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) approach based on interval-valued intuitionistic fuzzy numbers (IVIFN) and test its feasibility. Applying IVIFN contributes to coping with uncertainty in human thought and decision processes. On the other hand, VIKOR is a decision-making technique that facilitates ranking criteria that are contradictory and represented by different units, and it offers a compromise solution. The feasibility of the extended VIKOR approach through IVIFN proposed in this study was tested in a numerical example in which LC location alternatives were evaluated. Three experts were consulted to determine the criterion weights and to rank the alternatives. Decision makers serve as logistics and planning specialist, logistics operations manager and supply chain chief engineer. In practice, alternatives were evaluated by considering six criteria. As a result, criteria are listed in the form of intermodal connection (0.255), infrastructure (0.194), security/safety (0.169), proximity to customers (0.158), proximity to suppliers (0.131), and labour supply (0.093), according to their weighted importance. It is expected that the findings obtained in the study will contribute to researchers and sector managers.

Location of Logistics Distribution Center Based on Improved Bald Eagle Algorithm

The location of a logistics distribution center is a complex combinatorial optimization problem, and it is difficult to achieve the best results by traditional mathematical methods. This paper proposes an improved bald eagle search applied to logistics distribution center location selection for the first time, one which uses the chaotic operator to initialize the population, increases the diversity of populations, and introduces a sine and cosine algorithm in the search stage. It increases the global search ability of the algorithm and the ability to jump further out of the local space. Through test function and location simulation experiments, it is proved that the improved algorithm has obvious advantages over other common algorithms in solution accuracy and convergence speed. It can effectively improve the efficiency of logistics distribution when applied to the location of logistics distribution centers. Finally, the improved bald eagle search algorithm is used to optimize the location model of logistics distribution center. The experimental results show that the improved bald eagle search algorithm has good solving ability in this problem, can be obtained to minimize the distribution cost, save the distribution cost effectively and improve the distribution efficiency. It can further optimize the logistics management system and increase the efficiency of logistics enterprises. Compared with similar algorithms, such as WOA, WCA, PSO, the results are improved.

Research on Location of Logistics Distribution Center Based on K-Means Clustering Algorithm

The basic task of the logistics distribution center is to achieve the storage and distribution of materials, and to plan, implement, and manage the effective flow of materials from the supplying place to the consumption place. Scientific location of logistics distribution center can effectively reduce logistics cost, improve the speed of circulation, increase the profits of enterprises, and enhance the core competitiveness of enterprises. Combining the advantages of K-means clustering algorithm, this paper applies it to the location problem of logistics distribution center and proposes a logistics distribution center location method combining K-means clustering theory and D-S reasoning, which provides a better solution for the location problem of logistics distribution center. Through case analysis, K-means clustering algorithm can obtain reasonable location of logistics distribution center, which can be applied to the location of multilevel logistics distribution network, and has certain practical application value.

ANALYSIS OF THE EFFICIENCY OF BUILDING A NETWORK OF TRANSPORT AND LOGISTICS COMPLEXES BASED ON THE FACTOR-RATING MODEL

The article presents the results of the analysis of the effectiveness of the factor-rating method of solving the problem of finding the optimal location of elements of the logistics transport and customs infrastructure of Ukraine with the minimization of transport work on cargo transportation. A sufficient and economically justified number of logistics transport and customs complexes for processing the imported cargo flow of a given volume has been determined. The study uses methods of systematic and factor analysis of the calculated parameters of cargo processing, taking into account transport, economic and administrative factors of territorial development. It is established that the known methods developed to determine the location of individual transport and logistics centers do not allow to optimize the relevant logistics infrastructure focused on the processing of freight traffic in the transport system of the country. To build an effective solution to the problem of optimal location of several logistics transport and customs complexes, a method for determining the factor-rating potential of urban efficiency for their location in Ukraine, taking into account transport, economic and administrative factors. An assessment of transport work was conducted for 165 settlements of Ukraine, which include cities with a population of more than 30,000 people, as well as settlements with established customs posts or cargo checkpoints across the customs border of Ukraine. For each city, the relative consumption of imported foodstuffs is taken into account. According to the above algorithm, calculations were performed for options that provide for the operation of one to ten logistics transport and customs complexes throughout Ukraine. The analysis of the results of the calculations shows that the volume of transport work is effectively reduced in the case of the creation of 1 to 5 transport and customs logistics complexes. Further increase in the number of logistics transport and customs complexes, and consequently capital investments, does not lead to a significant reduction in total transport work. Accordingly, the factor-rating potential for cities in the zone where the creation of logistics transport and customs complexes is the most rational and has the following values: Dnipro 0.46; Kyiv 0.46; Lviv 0.54; Odesa 0.69; Kharkiv 0.62. The results of the evaluation of the effectiveness of the optimal location of logistics transport and customs complexes can be implemented in the Ukrainian transport system in the construction of logistics infrastructure for the processing of cargo flows of sufficiently large volumes.

Оценка развития горных регионов России

The author made an attempt to assess the impact of one of the main geographical factors, i.e. mountain terrain, on the economic development of regions in Russian Federation. The mountain regions have been identified in the context of the federal districts and the linear regression method of panel data was used to estimate the per capita growth of GRP of the regions. The performed assessment shows that macro-regions with rich natural resources are the drivers of the country's economy. In addition, the coastal districts, i.e. the Northwestern (NWFD) and Far Eastern Federal Districts (FEFD), are also distinguished, whose regions are positively influenced by their favorable geographical location including the location of major transport and logistics centers (seaports, pipelines, railways, etc.), aimed at exporting raw materials both to European countries (NWFD) and to South-East Asia (FEFD). However, calculations show that mountain regions are characterized with the greatest lag in economic development, especially the mountain regions of the North Caucasus and Siberia. The results of this study confirm the concept that a special approach is required towards the regional development of regions, including that of the mountain regions. Inclusion of the provisions on the possibilities and prospects of development of the mountain regions in the Concept of spatial development of the Russian Federation would be a logical continuation of such scientific concepts as the economic zoning and territorial organization of the economy.

A Logistics Model Suggestion for A Logistics Centre to Be Established: An Application in Aegean and Central Anatolia Region

The fact that the transport costs directly affect the countries’ economies all around the world and that the transport costs increase depending on the energy resources steered the countries into developing combined transport strategies that will decrease the transport costs. In this study, an assessment is made for the selection of locations of the logistics centers which will contribute to decreasing the transport costs, develop logistics sector strategies in Turkey, and thereby enable to identify the strategies for the fastest, safest, and the most economic transport utilizing integration of modes of transport with each other. Nonetheless, an integrated logistics model which includes freight capacity and selection of the optimum location is proposed for the efficient and useful logistics center. In this logistics model, a freight model, which is a criterion for optimal location selection, has been obtained by using regression analysis. According to this freight model, freight carrying capacity is determined for each alternative region. Optimum location selection has been made utilizing AHP (Analytic Hierarchy Process)-VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) method. We aim to contribute to the literature by making systematically estimating variable carrying capacities and by being decisive in the logistics center location selection. The proposed logistics model has been applied for a logistics center to be established, and effective and valid results have been obtained.

Evaluation of logistics centre location based on weighted entropy

It is crucial to locate logistics centres for realising optimization of the the entire logistics process. A kind of effective and practical location evaluation method is in an urgent need. This study analyses principles of logistics centre location, constructs a relative evaluation index system and forms evaluation based on weighted entropy which is derived from the information entropy. A true example is lodged in this study is to indicate how this method eliminates subjective influence of traditional evaluation and increases evaluation precision, which introduces a new solution to site selection of logistics centres.

Hybrid Metaheuristic-Based Spatial Modeling and Analysis of Logistics Distribution Center

The location analysis of logistics distribution centers is one of the most critical issues in large-scale supply chains. While a number of algorithms and applications have been provided for this end, comparatively fewer investigations have been made into the integration of geographical information. This study proposes logistic distribution center location analysis that considers current geographic and embedded information gathered from a geographic information system (GIS). After reviewing the GIS, the decision variables and parameters are estimated using spatial analysis. These variables and parameters are utilized during mathematical problem-based analysis stage. While a number of existing algorithms have been proposed, this study applies a hybrid metaheuristic algorithm integrating particle swarm optimization (PSO) and genetic algorithm (GA). Using the proposed method, a more realistic mathematical model is established and solved for accurate analysis of logistics performance. To demonstrate the effectiveness of the proposed method, Korea Post distribution centers were considered in South Korea. Through tests with several real-world scenarios, it is proven experimentally that the proposed solution is more effective than existing PSO variations.

Location determinants city logistics centers in the concept of sustainable development

The decision-making processes for planning an environmentally compatible infrastructure are extremely complex, as are the logistics processes themselves. The concepts for the location of urban logistics centers have been compared with the ecological danger zones in Poland. In this way, areas with a high degree of environmental degradation, particularly unfavorable from the point of view of the location of new logistics centers, were identified. The decision on the location of the planned project should be made on the basis of a previously developed, special procedure for the assessment of investment implementation and its impact on the natural environment. The aim of the study is to indicate the infrastructure of city logistics centers as one of the necessary and most effective factors determining sustainable development. As a rule, infrastructure can be created in two ways. The first one recommends building the enterprise, and then its infrastructure, while the second one recommends the opposite approach. From the point of view of the infrastructure of sustainable development, the second approach seems appropriate, allowing for the effective implementation of the sustainable development strategy. The first approach may only lead to a decline in the meaning of the concept of sustainable development in the mentality and social awareness. The variety of approaches in the literature on the subject defining the concept of sustainable development infrastructure covers both the area of ​​economy, society and the environment. Significant from the point of view of future generations seems to be the environmental aspect related to the creation of urban logistics centers in the era of sustainable development. One of the essential properties of the natural environment is equilibrium, which occurs when the outflow and supply of energy and matter in nature are balanced. The natural environment is in constant interaction with humans, in order to prevent its gradation, measures are taken to prevent damage to the physical environment or natural resources, there are also activities aimed at reducing the risk of losses or encouraging the efficient use of natural resources, including measures to save energy and use renewable energy sources.

Evaluation of the Effect of Transport Networks on the Kemalpaşa Logistics Center in Logistics Site Selection

In a globalizing world, economic parameters are in line with the competitiveness of countries in every field. The foreign trade activities of the countries are at the top of these parameters. Foreign trade activities are provided through the entry points of foreign countries. These entry points should be supplied with a certain discipline. This is only possible with logistics centers. Therefore, logistics center location selection is very important. Although there are many parameters in the logistics center location selection, transportation networks are the most important parameters to be emphasized. The effect of transportation networks in the logistics center location selection, which is the subject of this study, has been evaluated specifically for the Kemalpaşa logistics center, which is being established within the borders of İzmir province. In this study, the literature review on transportation modes for logistics centers was taken into consideration and transportation networks for Kemalpaşa logistics center were examined and future provisions were introduced.

Factors Affecting the Performance of Emergency Logistics in Disaster Areas: Focusing on the Corona Case in Wuhan, China and Implications for Korean Emergency Logistics Management

Purpose - This study, against the backdrop of the city of Wuhan, China, where COVID-19 first appeared, examines the factors that affect the effectiveness and efficiency of emergency logistics through empirical research on relief organizations that support Wuhan, China, during the fight against COVID-19. This study also studies how the government’s control situation affects the effectiveness and efficiency of emergency logistics. Design/Methodology/Approach - We employed a quantitative research method using survey data collected in Wuhan, China. This paper tested five hypotheses which assumes the effect of transportation system, inter-organizational cooperation, emergency logistics center location and demand and inventory management on the emergency logistics performance. In addition, we also examined a moderating role of government control on those hypothesized relationships. Findings - We found that transportation system, inter-organizational cooperation, emergency logistics center location and demand and inventory management affected the emergency logisitcs performance positively, and government control have moderated those reloationships partially. Research Implications - This findings may give meaningful insights on successful management of emergency logistics in Korea.

A mixed integer programming model based on Biomass Straw Energy Utilization Engineering warehouse logistics site selection

When the scale of biomass straw energy utilization project is relatively large, it is necessary to build a biomass straw storage and logistics center to ensure the stability of the project. By biomass straw lowest total logistics cost as the objective, considering the biomass straw briquette processing, variable cost and fixed cost of biomass straw storage cost and biomass straw warehousing logistics center construction cost to build the mixed integer programming model, to determine the biomass straw warehousing logistics center location, flow rate and maximum capacity. Taking Henan Province as an example, the paper selects the stalk storage and logistics center of biomass straw in Xinyang Jinniu Logistics Industry concentration area, Nanyang River logistics park and Zhoukou Port comprehensive logistics park through model calculation.

The Growth of E-Commerce Due to COVID-19 and the Need for Urban Logistics Centers Using Electric Vehicles: Bratislava Case Study

Before the COVID-19 pandemic there had already been an increase in individual shipment transportation including inner-city areas. During the pandemic and implementation of adopted preventive measures, it has increased by more than 100% in some cities. This presents an unsustainable development, particularly in terms of urban environment. The above-mentioned development has accelerated the research related to optimal allocation of logistics centres considering the last-mile distribution. Unfortunately, the theoretical mathematical model that finds an optimal urban logistics centre location based on the matrix of distance, number, and weight of shipments is not applicable in most cities. Therefore, the following research methodology was chosen in accordance with the approved territorial plan. The authors considered those locations in Bratislava—the capital of Slovak Republic—which are designated, or suitable for building up of an urban logistics centre. These localities were afterwards evaluated in a real-world case study employing methods of mathematical programming (linear programming), the nearest neighbour method, and the Clarke-Wright method. The presented methodology can be applied not only when deciding on the appropriate location of the city logistics centre, but also at optimizing the vehicle routing problem. Taking into account the urban logistics sustainability and the e-commerce growth, it was analysed whether the suggested location of urban logistics centre is feasible to provision examined facilities using electric vehicles. The range of considered electric vehicles of N2 category present in the market tends to be at the limits of distribution routes length for the given case study. Therefore, the article also deals with the fast-charging possibilities of vehicles during handling operations and the use of hybrid freight vehicles in city logistics.

Research on Multiobjective Location of Urban Emergency Logistics under Major Emergencies

After the outbreak of major emergencies, the scheduling of emergency supplies is the key to the emergency rescue work, and the establishment of appropriate emergency logistics centers plays a crucial supporting role. In order to deal with the problem of emergency facility location and material distribution in urban emergency logistics system, this paper establishes a dual objective mixed integer nonlinear programming (MINLP) model with the objective of minimizing the emergency rescue time and maximizing the satisfaction rate of emergency material demand, designs a genetic algorithm to solve the emergency logistics location and allocation model, and obtains the Pareto optimal solution set of the model. Finally, a case study of COVID-19 epidemic in Beijing-Tianjin-Hebei region was carried out to verify the feasibility and effectiveness of the model and algorithm in the actual application, which can provide reference and suggestions for the location and material distribution of urban emergency logistics centers.

Research on Ant Colony Algorithm for Location Planning of Distribution Center

The location of logistics center is affected by many factors. And it is an urgent problem to optimize the location selection and obtain the accurate location selection. Based on fully considering the actual distribution center planning problems, this paper introduces the problem of distribution center location planning model building and the steps of ant colony algorithm implementation. Then a large number of experimental simulations are used for instance verification to prove the rationality and effectiveness of the proposed ant colony algorithm to solve the distribution center allocation problem.

Multi-objective cold chain logistic distribution center location based on carbon emission.

The issues of food safety and environmental protection are attracting more and more attention. Everyday, a large number of cold chain products are delivered from suppliers to customers. The cold chain products require refrigeration equipment in delivery and should be delivered to customers as soon as possible. Therefore, the challenge of reducing carbon emission and improving the customer satisfaction should be solved. This study presents the impact of carbon emission, customer satisfaction, construction cost, and operation cost on the location of cold chain logistics distribution center. A multi-objective location model for cold chain logistics distribution center considering carbon emission is established. The carbon emission equivalent cost model considers the dynamic carbon emission during transportation and the static carbon emission of the distribution center. The penalty cost under the time window is introduced into the penalty cost model of customer satisfaction, which represents a multi-objective mixed-integer linear programming problem. A non-dominated sorting genetic algorithm II (NSGA-II) is used to design the program through double-layer composite coding. NSGA-II uses a fast non-dominated sorting approach to reduce the computational complexity of non-dominated sorting. This algorithm uses the elitist control strategy, which does not need to share parameters and is more efficient in the multi-objective optimization process. The numerical results show that the proposed algorithm can generate appropriate Pareto solutions for all objectives.

Location Model of Fresh Agricultural Products Logistics Distribution Center Based on Network Nodes

The high logistics cost of fresh produce is the main problem that restricts the distribution of produce. How to reduce the logistics cost of fresh agricultural products, improve the utilization rate of logistics facilities, and improve distribution efficiency and service levels has become the key to research. As an important hub for fresh agricultural products, the fresh agricultural product distribution center can effectively integrate supply and demand information and is the key to ensuring the efficiency of fresh agricultural product distribution, especially to meet the urban fresh agricultural product distribution needs. The fresh agricultural product urban logistics distribution center has the characteristics of small service radius, small scale, many distribution batches and high distribution frequency. The service radius and the scale of the distribution center determine the function of the distribution service. In order to save costs while ensuring distribution efficiency and logistics service levels, it is necessary to scientifically and rationally plan the location of urban distribution centers for fresh agricultural products. Despite extensive research on the location of logistics distribution centers, there are still some shortcomings. First, by analyzing and summarizing the existing literature, the theory and research methods of urban logistics distribution centers for fresh agricultural products are summarized, the characteristics of urban logistics distribution centers for fresh agricultural products are analyzed, and the status of logistics centers for fresh agricultural products is summarized. Influencing factors and site selection process introduced the basic principles and steps of immune algorithm. Secondly, based on the location theory of distribution centers, a cost model for the location of urban logistics distribution centers for fresh agricultural products is established. The model takes into account economic and social factors, including distribution costs, fixed costs, operating costs, waste costs and carbon emission costs. In the case of traffic congestion, a carbon emission factor is introduced to calculate the environmental cost of the allocation process. Finally, combined with the calculation steps of the immune algorithm, the solution steps are designed for the location model of the urban fresh agricultural products logistics distribution center, and the actual calculation examples are studied using MATLAB software programming, and the distribution center is obtained based on the low model. Through the method of this article, the transportation speed of fresh agricultural products logistics distribution center location has been increased by 13%.

A multi-factor analysis approach for recycled asphalt mixture stockpile center location

The mixture recycling of reclaimed asphalt pavement (RAP) has become a widely used strategy in road maintenance. The article aimed at acquiring the optimum solutions to quantity and location distribution of RAP stockpile logistic centers over a regional highway network using a multi-factor analysis approach to further promote the development of asphalt recycling technology. Firstly, the economic radius of RAP stockpile logistic centers was calculated to determine the optimal number of RAP stockpile logistic centers according to the density of road network in the target region. Then, the proper location of each RAP stockpile logistic center was investigated employing ArcGIS buffer analysis and Floyd algorithm, with three factors taken into consideration (environment impacts, RAP material yield and consumption of each road in highway network, and the economic transport distance). Finally, upon the selection of each RAP stockpile logistic center site, the economic benefits were evaluated through cost-benefit analysis (CBA). In a case study based on the data of Jiangsu province expressway network, it suggested that an establishment of 13 RAP stockpile logistic centers will meet the recycling maintenance need of asphalt pavement over the whole highway network in Jiangsu province, contributing to a 6-year net maintenance benefit of about 70 million CNY.

Analyzing the location of city logistics centers in Istanbul by integrating Geographic Information Systems with Binary Particle Swarm Optimization algorithm

The advantages of logistics centers for companies, cities, and countries have been discussed in the literature and generally mathematical model-based evaluations besides multi-criteria approaches are proposed for site selection processes. However, since mathematical modeling of multiple site selection often turns out to be NP-hard problem structure, it is not always possible to obtain an optimal solution by the solvers. For this reason, various meta-heuristic approaches have emerged to solve these complex models. In this context, the aim of this study is to propose an integrated methodology which seeks an optimum result efficiently regarding a logistics center location selection problem. Thus, the optimal clustering of logistics mobility in a metropolitan area was carried out with GIS and a meta-heuristic approach. GIS produced the spatial information needed by p-median model, then the meta-heuristic approach determined the optimal result that considers the logistics costs. BPSO algorithm has employed as the meta-heuristic and it is observed that the algorithm can reach the optimum results within superior times for the problem sizes tested where binary integer programming verified the optimums and the algorithm continued to reach improved solutions where the exact algorithms failed for larger instances. The integrated solution methodology is applied to a large metropolitan region and it is found that it can be used properly by the urban city planners and supply chain managers to analyze critical nodes of transportation networks of megacities.

PROBLEMS AND PROSPECTS OF DEVELOPMENT OF SEAPORTS LOGISTIC INFRASTRUCTURE IN UKRAINE

The article is devoted to the study of the seaports of Ukraine and the identification of problems in the development of their logistics infrastructure. The purpose of the paper is to study the main problems of development of logistics infrastructure of seaports of Ukraine and determine the benefits of forming effective logistics centers based on them. The methodological basis of the study is general scientific techniques and methods. In particular, the systemic approach, method of analysis and synthesis, logical and prognostic methods. The results of the study allow us to determine that the degree of integration of Ukraine’s port industry into the international community remains low. The productivity of transport infrastructure and logistics processes are low. Seaports, of which there have been 13 in 2019, have a high investment potential due to their specialization and geographical location of the country. Much has been done by the government to develop the port industry since independence, but today there are a number of important issues, including low levels of private investment due to instability and high risk of corruption in the domestic economy, declining seaport turnover due to unreliable maritime logistics systems, imperfect tariff policy and many others. The results of the paper are the study of the experience of forming logistics infrastructure abroad, in particular in Germany and the Netherlands, and the argument for the creation of multimodal logistics centers on the basis of the Ukrainian seaports. It is determined that a special role in their formation and control over their activities should belong to state and municipal authorities. When creating a multimodal logistics center, a comprehensive approach should be applied, which covers such areas of activity as: development of the logistics services market; optimization and development of transport infrastructure (ensuring the possibility of cargo handling by different modes of transport); effective investment policy; development of trade relations; environmental protection; development of territories, creation of industrial parks and social policy (location of multimodal logistics centers near large settlements, creation of additional jobs). The support for these areas will diversify the economy of those regions, in which seaports are located, and will have an overall positive impact on the country’s economy as a whole, increase its logistics potential and competitiveness. Value/originality. A detailed analysis of the Ukrainian seaports and existing problems in the development of their logistics infrastructure provides a better understanding of the need to create powerful multimodal logistics centers and the formation of a single information space for the integration of Ukrainian and European port industry.