Logistics Nodes Research Articles

Multi-objective optimization model of waste tire recycling network

To achieve sustainable development, logistics enterprises need not only to reduce costs, but also to save energy for environmental protection and improve customer service level. The improvement of reverse logistics management level of waste tires is of great significance to improve the efficiency of the automobile industry. In this paper, multi-objective programming is adopted to establish the waste tire recycling network model. The decision variable is whether the network nodes are set or not, the traffic flow between nodes. Constraints include meeting customer demand, balance of flow in and out of logistics nodes, etc. The model is solved by ε- constraint. Taking the actual data of the enterprise as an example, the operation results show that the operation cost, carbon emission and customer transportation distance can get an consistence within a certain range. Waste tire logistics enterprises can realize the simultaneous improvement of profit, environmental protection and customer service level.

A large-scale, agent-based simulation of metropolitan freight movements with passenger and freight market interactions

Abstract This study summarizes the first stage in the implementation of an agent-based freight modeling system that has a global representation of agents and detailed modeling of a large-scale transportation network. The model is used to evaluate the transportation and energy impacts of goods movement across urban and national scales. The framework is implemented within POLARIS, a C++-based Planning and Operations Language for Agent-based Regional Integrated Simulation, which consists of an activity-based modeling (ABM) and dynamic traffic assignment (DTA) system that has robust features for passenger travel. This platform provides a tool to model interactions among consumers, producers, and the transportation system. The main objective of this initial implementation is to implement a freight model within POLARIS following an agent-based paradigm with behavioral and simulation methods. This paper presents the initial framework and illustrates the application of the model. Building upon earlier works, a parcel location assignment algorithm for business establishments in the population is documented, along with a method for estimating establishment production and consumption volumes. In addition to population generation, other features of the model include push-pull supply chains, multimodal path choice, choice of transportation logistics node, and dynamic traffic assignment. A module with e-commerce supply and demand was also developed to analyze the effects of e-commerce delivery on last-mile energy use and congestion.

The medical support of the army in an integrated information network of the logistical support of the armed forces of Ukraine

The Armed Forces (AF) health care system of Ukraine today requires further improvement and development in the direction of unification and interoperability with the medical services ofNATO member countries. One of the important tasks facing the medical service of the Armed Forces ofUkraine, according to the Main Provisions of Logistics Provision of the Armed Forces ofUkraine, is the creation of a single effective system of resource management. The effectiveness of such a system is determined by the quality and reliability of the information used to control the flow processes.
 The aim of the work–а study of the singularities of the medical support of the troops in the integrated information network of logistic support of the Armed Forces of Ukraine.
 To achieve the purpose of the research, the analysis of the domestic and foreign scientific literature, the current regulatory framework of Ukraine was conducted. Research methods are: information search, contrast, arrangement and modeling.
 While conducting a study of the existing integrated information network of logistics support for military units and units of the Armed Forces of Ukraine it was found that this is one of the largest and most complex nodes. It was found that each node of the logistic information network is connected to other nodes of the transverse and longitudinal canals. The transverse canals connect the nodes inside the echelon, and the longitudinal canals connect the nodes between the echelons. Thus, the information network is a hierarchical network. It has been determined that the set of logistic support nodes is divided into three groups according to the research of foreign military scientists can be called: executives, operators and consumers. It is established that according to the current legislation in the information network of logistic support of the Armed Forces of Ukraine, the Main Military Medical Directorate, as a body managing the medical service of the Armed Forces of Ukraine, is on par with the Main Logistics Department of the General Staff of the Armed Forces of Ukraine.
 A study was conducted to study the peculiarities of the medical provision of troops in the integrated information network of logistical support of the Armed Forces of Ukraine. On the basis of theoretical generalization of data of scientific literature and normative-legal acts, the model of the current information network of logistical support of military units and units of the Armed Forces of Ukraine was constructed. The necessity to develop national decision support software in military logistics for the needs of the Armed Forces of Ukraine is identified.

An empirical study on the relationship between foreign trade of agricultural products and the development of cold chain logistics in Sichuan Province

This paper selects the data of Sichuan Province from 2001 to 2018 as the sample, which is the total trade volume of agricultural products (TA), the cold chain logistics volume of agricultural products (CD), and the cold chain logistics volume of agricultural products (CS). Through the time series of three variables, the stationary, co-integration and vector error correction models are used to study the long-term equilibrium and short-term fluctuations between the agricultural product foreign trade and agricultural product cold chain logistics development level, in order to provide suggestions for the common development of both. The results show that: First, the level of agricultural trade and the level of cold chain logistics of agricultural products continue to increase, but the overall level of the two is still insufficient. Secondly, the time series of the both are smooth sequences through the first-order difference. Through the cointegration test, there is a long-term equilibrium relationship, and the short-term relationship between the two is greater than the long-term relationship. Thirdly, the demand and supply of cold chain logistics of agricultural products is a one-way causal relationship between the trade volume of agricultural products. In the future, we must give full play to the advantages of Sichuan’s characteristic agricultural products and strengthen the construction of logistics facilities and the connection between logistics nodes.

Dynamic Network Planning of Underground Logistics System on Uncertainty Graph

When designing the underground logistics system, it is necessary to consider the uncertainty of logistics nodes, high cost, and high risk. This paper employed the theories of uncertain graph and dynamic programming to solve the network planning problem of underground logistics system. Firstly, we proposed the concepts of uncertainty measure matrix and vertices structure uncertainty graph by using uncertainty measure and uncertainty graph. Secondly, vertices structure uncertainty graph of the underground logistics system was constructed based on our proposed vertices structure uncertainty graph and the uncertainty of logistics nodes. Thirdly, the dynamic programming model of the underground logistics system was established, and its solution algorithm was also designed by improving simulated annealing. Finally, the correctness and feasibility of the method was validated by using a numerical example of the underground logistics system in Xianlin district, Nanjing City in China.

Integrated sustainable freight transport system for city multi-floor manufacturing clusters

Abstract The purpose of the article is to present the integrated sustainable freight transport system dedicated for city clusters. The presented concept and calculation model is the result of a broader study on the effectiveness of production and transport systems in urban areas. The integrated sustainable freight transport system described in this paper serves multi-floor manufacturing clusters and therefore meets two efficiency requirements: technological integration and process sustainability. The integration of in-house transport system servicing multi-floor manufacturing building and supply chain deliveries to/from logistic node is based on efficient use of Intelligent Reconfigurable Trolleys (IRTs). The calculation model of integrated freight transport system allows for the quantitative matching of key elements of the transport system to the multi-floor manufacturing cluster needs. Properly selected and functionally integrated elements of proposed transport system allows to minimize losses and reduce the negative impact of transport on the environment.

Multimodal Green Logistics Network Design of Urban Agglomeration with Stochastic Demand

This study investigates a multimodal green logistics network design problem of urban agglomeration with stochastic demand, in which different logistics authorities among the different cities jointly optimize the logistics node configurations and uniform carbon taxes over logistics transport modes to maximize the total social welfare of urban agglomeration and consider logistics users’ choice behaviors. The users’ choice behaviors are captured by a logit-based stochastic equilibrium model. To describe the game behaviors of logistics authorities in urban agglomeration, the problem is formulated as two nonlinear bilevel programming models, namely, independent and centralized decision models. Next, a quantum-behaved particle swarm optimization (QPSO) embedded with a Method of Successive Averages (MSA) is presented to solve the proposed models. Simulation results show that to achieve the overall optimization layout of the green logistics network in urban agglomeration the logistics authorities should adopt centralized decisions, construct a multimode logistics network, and make a reasonable carbon tax.

Optimal Design of Node Distribution in Maritime Logistics Network of Fruit and Vegetable Supply Chain

ABSTRACT Hua, J.; Gu, S., and Zhang, L., 2018. Optimal design of node distribution in maritime logistics network of fruit and vegetable supply chain. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 814–818. Coconut Creek (Florida), ISSN 0749-0208. There is a high cost in maritime logistics of supply chain of fruit and vegetable, so it is necessary to optimize and research the node distribution of marine logistics network in the fruit and vegetable supply chain. The current method has a problem about high cost. Therefore, this paper proposes an optimization method of distribution of maritime logistic network nodes in the fruit and vegetable supply chain based on the improved ant colony algorithm. Firstly, this method built the problem model of distribution optimization of logistics node, and used the improved ant colony algorithm for optimizing node distribution of maritime logistics, and then solved the objective f...

Environmental Sustainable Waste Management for a City Multi-Floor Manufacturing Cluster

Abstract A multi-floor manufacturing in residential districts of huge city promotes decongestion of urban traffic and satisfy the population’s demand for essential goods. City manufacturing and its supply chain entail several challenges related to the sustainable development of a large agglomeration. Environmental problems impose significant constraints on such manufacturing activities and production waste in the urban environment poses a real problem that needs to be addressed by special research. This paper discusses integrated sustainable production waste management for a city multi-floor manufacturing cluster, consisting of a group of production buildings and a supporting logistics node. In line with the theory of integrated sustainable waste management, three key components are addressed: waste management stakeholders, components of the waste management system, and the technical, environmental and legal aspects of a city multi-floor manufacturing cluster. The goal of the paper is to develop a concept for a model of environmental sustainable waste management in a city multi-floor manufacturing cluster, aimed at ensuring the system safety: human - technical facility - environment. This model can serve as a basis for the development of appropriate logistics chains for production waste management considering their hazardousness indicator. The versatility of the model will allow it to be widely used, and when its stages and working principles are embedded in the practice of city multi-floor manufacturing, proper control over the waste management process can be achieved. The application of the proposed model of integrated sustainable production waste management in the practice of the city multi-floor manufacturing clusters will contribute to the environmental sustainability of its operation.

Improved Simulated Annealing Based Network Model for E-Recycling Reverse Logistics Decisions under Uncertainty

Electronic waste recycle (e-recycling) is gaining increasing importance due to greater environmental concerns, legislation, and corporate social responsibility. A novel approach is explored for designing the e-recycling reverse logistics network (RLN) under uncertainty. The goal is to obtain a solution, i.e., increasing the storage capacity of the logistics node, to achieve optimal or near-optimal profit under the collection requirement set by the government and the investment from the enterprise. The approach comprises two parts: a matrix-based simulation model of RLN formed for the uncertainty of demand and reverse logistics collection which calculates the profit under a given candidate solution and simulated annealing (SA) algorithm that is tailored to generating solution using the output of RLN model. To increase the efficiency of the SA algorithm, network static analysis is proposed for getting the quantitative importance of each node in RLN, including the static network generation process and index design. Accordingly, the quantitative importance is applied to increase the likelihood of generating a better candidate solution in the neighborhood search of SA. Numerical experimentation is conducted to validate the RLN model as well as the efficiency of the improved SA.

CORRELATION ANALYSIS OF CONTAINER MAINTENANCE OF THE OPTIMAL LOGISTICS NODEXES OF THE BELT AND ROAD RAILWAY SYSTEM BASED ON THE FP_GROWTH ALGORITHM

Concerning the limit of logistics node expansion in the current the Belt and Road Railway System to macroscopic and qualitative description, this paper analyzes the problem of the optimal logistics node selection of The Belt and Road Railway System. This paper puts forward the Belt and Road Railway System logistics node center site Container Maintenance model based on the principal component and the FP_growth network, analyzes the optimal railway system logistics node center location, and adopts expansion of the practical the Belt and Road Railway System as an example to conduct simulation analysis of the model algorithm. Results suggest that the model algorithm put forward in this paper can efficiently confirm the optimal railway system logistics node center location, match logistics nodes for practical demands in accordance with the hierarchical structure of logistics nodes and find the optimal logistics center, distribution center and freight transfer center. This paper summarizes researches about expansion of logistics nodes of The Belt and Road Railway System, and successfully analyzes the expansion of the optimal logistics nodes of The Belt and Road Railway System through the hierarchical structure of the practical logistics nodes of The Belt and Road Railway System and combining cluster results of the FP growth network and the comprehensive rating obtained through the principal component. The simulation analysis results of this paper can efficiently find out the optimal railway system logistics node center location, and provide a new analysis perspective for the academic study on the center Container Maintenance for the expansion of relevant logistics nodes of The Belt and Road Railway System.

Research on the correlation of port logistics and regional economic growth base on gray relational analysis method

SummaryCostal Port, as modern transport hub and logistics nodes linking airlines, railways, highways, and other transport means, plays an important role in driving regional economic growth, while the regional growth in Port inter‐lands offer substantial support and guarantee for the port logistics. The correlation between port logistics and regional economic growth, therefore, may serve the entry point of research on the sustainable development of both Shenzhen and its port, given the positive interplay of the port logistics with regional economy, will gain a better strategic position in the Belt‐and‐Road Initiative and the Guangdong‐Hong Kong‐Macao Greater Bay Area. Gray correlation analysis and decision tree algorithm are both employed in the light of the status quo of ShenzhenPort to closely examine relevancy between the port logistics and regional economic development. The relevancy among gross industrial output value, total investment in fixed assets and gross import and export value reads 0.69:0.682:0.643, respectively, in contrast to the least relevancy of the construction industry; the gross industrial output value as well import and export value, according to the decision tree algorithms, exert decisive influences on the port logistics.

Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities

In large Chinese cities, inefficient logistics organization, a rapid increase in freight demand, and the spreading of city logistics space have jointly contributed to the urban problems related to goods movement, such as spatial conflicts, traffic congestion, and air pollution. To address these problems and improve urban sustainability, we proposed a new spatial organization model of supply–demand coordination. We used the data from the Third China Economic Census and online point-of-interest (POI) for China’s four direct-controlled municipalities and 13 sub-provincial cities. We found that: (1) the freight supply and demand in China’s large cities are both spatially decentralized and clustered. However, there is a significant spatial mismatch between freight supply and demand in most of the studied cities. (2) The 17 studied cities can be divided into three types—highly unbalanced, unbalanced, and balanced—in light of the spatial mismatch between freight supply and demand. (3) The capacities of road surface and logistics nodes spatially differ. The supply capacity of the road systems in Beijing, Shanghai, and Guangzhou can only accommodate 18.4%, 35.5%, and 32.2% of the demand, respectively, while the supply capacity of the logistics nodes is more than twice that of the actual demand in these cities. Based on the findings, this paper proposed a differentiated method of demand management in different areas of the cities. To achieve the goals of low-carbon and sustainable development in logistics distribution, policy makers may consider planning urban freight activities along metro lines and intercity rail lines. Thus, this paper will provide a new perspective for understanding the urban freight distribution and management in large Chinese cities.

Location characteristics and differentiation mechanism of logistics nodes and logistics enterprises based on points of interest (POI): A case study of Beijing

The logistics nodes and logistics enterprises are the core carriers and organizational subjects of the logistics space, and their location characteristics and differentiation strategies are of key importance to optimizing urban logistics spatial patterns and ensuring reasonable resource allocation. Based on Tencent Online Maps Platform from December 2014, 4396 logistics points of interest (POI) were collected in Beijing, China. By the methods of industrial concentration evaluation and kernel density analysis, the spatial distribution pattern of logistics in Beijing are explored, the interaction mechanism among the type difference, supply-demand side factors and location choice behavior are clarified, and the internal mechanism of spatial differentiation under the combined influence of transportation, land rent and assets are revealed. The following conclusions are drawn in the paper. (1) Logistics enterprises and logistics nodes exhibit the characteristic of both co-agglomeration and spatial separation in location, and logistics activities display the spatial pattern of "marginal area of downtown area, suburbs and exurban area", which have a weak coupling degree with logistics employment space. (2) The public logistics space, namely, logistics parks and logistics centers, is produced under the guidance of the government, and the terminal logistics space consisting of logistics distribution centers serving for the specific industries and terminal users is dominated by enterprises. The locational differentiation between the two modes of logistics space is significant. (3) In the formation of the logistics spatial location, the government can change the traffic condition by re-planning the transport routes and freight station locations, and control the land rent and availability of different areas by increasing or decreasing the land use of logistics, to impact the enterprise behavior and form different types of logistics space and function differentiation. In comparison, logistics enterprises meet the diverse demands of service objects through differentiation of asset allocation to promote the specialization of division and form the object differentiation of logistics space.

Comprehensive Transportation Logistics Network Level Layout Based on Principal Component Factor and Cluster Analysis

Comprehensive Transportation Logistics Network (CTLN) acts as a crucial prop and fundamental carrier for regional economic and social development. Firstly, an index system for evaluating the development of regional Comprehensive Transportation Logistics (CTL) nodes is established; then regional CTLN nodes are ranked according to their importance by the method of Principal Component Analysis(PCA), and main factors affecting the development of regional CTL nodes are analyzed by applying factor analysis, and regional CTL nodes are classified according to their feature similarities by applying cluster analysis; and then level structure of constructing regional CTLN is proposed. Finally, combined with geographic locations of different nodes, level layout model of CTLN of the whole region is obtained. Taking Henan province this region as an instance, level layout model of hub-and-spoke CTLN taking Zhengzhou at its core is proposed after analysis, providing a reference basis for constructing CTLN in whole province scientifically and reasonably.

Research on Location of Sales Logistics Network Nodes Based on Chaotic Optimization Algorithm

Logistics nodes are screened to obtain Alternative logistics nodes using principal component analysis. Sales logistics network location model is established to minimize the total cost of sales logistics network. Then Chaotic Genetic Algorithms is used to solve the model and obtain the position, number and size of logistics nodes, transport path and corresponding transportation volume from factory to nodes and nodes to customers. Finally, the validity of the model is verified by a practical example.

Study on Location Selection of Logistics Distribution Center Based on Spider Chart

The logistics distribution center, as a circulating site or organization between manufacturers as well as the manufacturers and consumers, is an important node in the logistics network system, and plays a very important role in the modern logistics activities. As a key logistics node, it has not only basic operational functions of the traditional logistics center, but also more assumes such management functions as command and dispatch, information processing, and operational optimization. It has become a soul of whole supply network operation, and its construction and development are concerned more and more by enterprises. However, there are some differences in understanding and functional orientation to the logistics distribution center in the circles. This paper is intended to analyze the influencing factors for location selection of logistics distribution center and construct a location selection index system. Furthermore, it tries to conduct the evaluation on logistics distribution center location selection by the spider chart, so as to select the optimal distribution route.

A decision support system for improved resource planning and truck routing at logistic nodes

In this paper, we present an innovative decision support system that simultaneously provides predictive analytics to logistic nodes as well as to collaborating truck companies. Logistic nodes, such as container terminals, container depots or container loading facilities, face heavy workloads through a large number of truck arrivals during peak times. At the same time, truck companies suffer from augmented waiting times. The proposed system provides forecasted truck arrival rates to the nodes and predicted truck gate waiting times at the nodes to the truck companies based on historical data, economic and environmental impact factors. Based on the expected workloads, the node personnel and machinery can be planned more efficiently. Truck companies can adjust their route planning in order to minimize waiting times. Consequently, both sides benefit from reduced truck waiting times while reducing traffic congestion and air pollution. We suggest a flexible cloud based service that incorporates an advanced forecasting engine based on artificial intelligence capable of providing individual predictions for users on all planning levels. In a case study we report forecasting results obtained for the truck waiting times at an empty container depot using artificial neural networks.

Logistički pristup građenju i razvoju sustava proizvodnje

The paper presents a complex of information aimed at automated production systems structures and simulation. For production systems intergrated structures formation it uses logistic principles for making the internal material flow among various logistic nodes more precise and effective, including respective information flow, here e. g. with use of integrable and compatibile handling and technological systems, as well.

Study on Location of Wuhan Steel Logistics Distribution Center

This paper studies the location of Wuhan steel logistics distribution center. First of all, according to Wuhan Iron and Steel Plant sales in Hunan Province and the relative position of the city, the transport costs are calculated from Wuhan Iron and Steel Plant to the demand point. We further analyze the necessity of establishing steel logistics distribution center, using the precise center of gravity to determine the actual location of the distribution center. After the establishment of distribution center, the total freight is reduced by 15.46 million yuan from Wuhan Iron and Steel Plant to each city in Hunan province via distribution center each year. The results of this paper can provide theoretical basis for the logistics node planning of related enterprises.