Logistics Park Research Articles

Logistics park charging station optimization using improved genetic algorithms

The one-time investment and later operation efficiency of the supporting charging station are critical for the length of the investment return cycle. In this article, to meet the charging demand of logistics parks as the precondition, through the minimum total cost (construction, operation, maintenance, and depreciation) as the objective function, the improved genetic algorithm (GA) is used to look for the optimal solution. The operations of the charging station planning of a logistics park in off-season and peak-season are simulated and analyzed. The results show that the model and calculation method proposed in this article can provide effective support for the planning decision of logistics park charging. This study can guide the improvement and management in charging station configuration.

Study on the environmental benefits of truck parking space for trucks waiting to enter freight terminal - A case study of Gangchen Logistics Park

The gathering effect of trucks at freight terminals and the high emission characteristics of trucks themselves lead to long-term truck queues and serious environmental pollution problems at freight terminals. Repeated stopping and following trucks aggravate the environmental pollution in the terminal. This paper proposes a scheme to plan truck parking spaces during waiting for trucks to enter the freight terminal in order to reduce the repeated stopping of trucks and to quantify the environmental benefits of truck parking spaces in the process. The truck admission process was simulated using the Visual Simulator (VISSIM). The simulation output provided vehicle operating data that was converted into operating mode distribution data using the Python calculation module. Then, the model parameters, including the operating mode distribution, were entered into the Motor Vehicle Emission Simulator (MOVES) to calculate the simulation scenario. Gangchen Logistics Park, for example, statistics of the park's 10 months of freight data, the design of freight volume gradually increased by 11 groups of admission simulation experiments, the simulation learned that the park queuing significant, more than 90% probability of queuing, queuing up to a maximum of 203 vehicles, the average queue of 61 vehicles. Then according to the actual road conditions in the park, add a parking lot in the VISSIM simulation. Signal sensing is realized by calling the COM interface of VISSIM through Python to guide the vehicles to park in order and enter the park. Eleven sets of simulation control experiments after designing and planning parking spaces are designed to calculate the pollutant emissions for each simulation scenario separately. The analysis of the emission measurement results shows that the emissions of CO, HC, NOX, and PM10 can be reduced by 1.90%, 7.90%, 9.42%, and 10.55% at the average level of the park's cargo volume. At the park's maximum cargo volume, it is possible to reduce HC, NOX, and PM10 emissions by about one-third. Truck parking space in the truck waiting to drive into the freight terminal process has obvious environmental benefits, queuing significant freight terminals should be reasonably planned truck parking spaces to reduce the freight terminal exhaust emissions pollution.

Research Hotspots and Evolution Trends of Green Logistics in China

In this study, the CiteSpace literature metrology analysis tool was employed to undertake a multi-dimensional metrological analysis of the research hotspots and development trends in the domestic green logistics research domain within China National Knowledge Network from 2014 to 2024. Through the visual analysis of relevant literature, the core research themes, major research institutions, and research frontiers in the field were identified. The results indicate that the research on green logistics in China is ascending. The collaboration among authors and research institutions from different regions is inadequate, and the cooperation between research institutions requires further enhancement. Domestic green logistics research centers on logistics parks, green supply chain management, carbon emissions, and environmental protection policies. Additionally, this study also deliberates on the development direction of green logistics research in the future and puts forward research topics that demand further attention, in order to provide references for relevant researchers.

The Impact of Transaction Credit on Credit Enhancement of Supply Chain Financing of Small and Micro-Logistics Based on Evolutionary Game Analysis

The issue of credit enhancement in supply chain financing for small and micro-logistics enterprises (SMLEs), as well as the factors that affect the decision-making of participants in supply chain financing transaction credit enhancement, is analyzed in this study. First, an evolutionary game model between financial institutions (FIs) and SMLEs was built. In contrast to bank loans, a novel mechanism for achieving credit enhancement based on transaction data in the transportation supply chain was established through a strict environment and an increase in default penalties to compel SMLEs to uphold their obligations. Furthermore, the stability analysis shows that the stable state convergence of the evolutionary game between FIs and SMLEs evolves to the stage where FIs offer loans to SMLEs. Finally, according to the simulation analysis on the real data collected from CHZL logistics park survey data, this work demonstrates that the fluctuation ranges of the strategy evolution process for the FIs and SMLEs are positively correlated with the intensity of the stochastic perturbation.

The Impacts of Regulatory Approaches to Carbon Quotas on Third-Party Logistics Low-Carbon Financing Strategies and Emission Reduction Effects

Carbon emission reduction is an important issue for sustainable development. The logistics industry is a key area for carbon emission reduction. The modern logistics supply chain includes logistics parks (fourth-party logistics, 4PL) and small, medium and micro logistics enterprises settled in the parks (third-party logistics, 3PL). Facing the pressure of the need for sustainable development, 3PL enterprises need to invest a lot of money in green transformation. However, 3PL enterprises are subject to serious financial constraints. In order to break the capital constraints, 3PL enterprises can raise funds from banks or from 4PL financing. Under the carbon quota policy, the government can regulate the 4PL or the 3PL. Therefore, this paper uses the Stackelberg game model to build a green financing strategy model of small and medium-sized logistics enterprises considering different supervision methods under carbon quotas, explores the optimal emission reduction decision-making process of small and medium-sized logistics enterprises, and provides solutions to the financing problems of small and medium-sized logistics enterprises in realizing sustainable development. The study found that the decisions of enterprises under different governmental supervision methods are affected by carbon quotas, and the government’s supervision of 3PL is more conducive to carbon emission reduction; in this scenario, the 4PL financing strategy is more likely to be adopted compared with bank financing, because 4PL charge lower service fees, thus encouraging 3PL to increase their low-carbon investment. Finally, this paper puts forward two different carbon emission supervision methods and considers the green financing services of 4PL; this provides references for government supervision and the sustainable development strategies of logistics enterprises.

Two-Stage Robust Optimization for Large Logistics Parks to Participate in Grid Peak Shaving

As new energy integration increases, power grid load curves become steeper. Large logistics parks, with their substantial cooling load, show great peak shaving potential. Leveraging this load while maintaining staff comfort, product quality, and operational costs is a major challenge. This paper proposes a two-stage robust optimization method for large logistics parks to participate in grid peak shaving. First, a Cooling Load’s Economic Contribution (CLEC) index is introduced, integrating the Predicted Mean Vote (PMV) and Sales Pressure Index (SPI). Then, an optimization model is established, accounting for renewable energy uncertainties and maximizing large logistics parks’ participation in peak shaving. Results illustrate that the proposed method leads to a reduction in the peak shaving pressure on the distribution network. Specifically, under the scenario tolerating the maximum potential uncertainty in renewable energy output, the absolute peak-to-valley difference and fluctuation variance of the park’s net load are decreased by 45.82% and 54.59%, respectively. Furthermore, the PMV and the SPI indexes are reduced by 39.12% and 26.36%, respectively. In comparison with the determined optimization method, despite a slight cost increase of 20.06%, the proposed method significantly reduces EDR load shedding by 98.1%.

Research on the path of low-carbon construction of multimodal logistics parks under the background of “carbon peak” and “carbon neutrality”

Abstract The construction of intermodal logistics parks in China is developing rapidly, but most of them are in the bad mode of high energy consumption. While polluting the environment, it also affects the cost reduction and efficiency of the whole logistics industry, which is not conducive to the healthy development of the logistics industry. Therefore, under the goals of “carbon peak” and “carbon neutral”, the planning of multimodal logistics parks must seek the development path of low-carbon transformation. This is not only a responsibility, but also a necessary path for the healthy and sustainable development of the logistics industry in the future, which has far-reaching strategic significance. Therefore, based on this background, the paper describes the opportunities and challenges of low-carbon construction of China’s multimodal logistics parks. According to the above analysis, combined with the relevant policies, it puts forward the low-carbon construction path of multimodal logistics parks. It is intended to provide support for the promotion of low-carbon construction of multimodal logistics parks and help the practice of the “carbon peak” and “carbon neutral” strategic goals in practice.

A spatial analysis of one of the regional logistics clusters in central Poland using GIS

Abstract Logistics services are a consequence of increasingly rapid economic development and globalisation. More and more facilities with adequate transport accessibility are being created for the storage of goods, which form logistics clusters. They emerged later in Central and Eastern Europe than in the United States and Western Europe. Investment in Poland's first logistics parks can be linked to the political and economic transformation in 1989, Poland's accession to the European Union in 2004, the development of motorways, and Poland's integration into the global economy. In the second decade of the 21st century, there are more than a dozen places in Poland that can be called logistics clusters. The purpose of this research was to geographically analyse a selected regional cluster located in Lodz voivodeship, as well as its links to the transport network of Poland and Europe. Geostatistical and GIS methods were used for spatial analysis. It was shown that its spatial distribution is strongly related to the A1 highway, the intersection of the A1 and A2 highways and the voivodeship city of Lodz. The characteristics of the geographic environment give reason to suggest that it has great development potential and is worthy of further observation and comparative studies.

India–ASEAN Economic Relations and North-east India: Act East Policy as a New Paradigm

The article delves into three aspects: (a) India–ASEAN economic relationship since the last three decades of Look East Policy (LEP), (b) the achievements of North-east India (NEI) under LEP and Act East Policy (AEP) and (c) adding a note on AEP as a new ‘development paradigm’ in NEI. The study finds that the India–ASEAN economic relationship deepened in the post-LEP period as merchandise trade and foreign direct investment (FDI) inflows increased manifold. However, neither LEP nor AEP made any significant impact on NEI in terms of economic growth, exports and FDI inflows. Economic growth stagnated and even decelerated in some states in NEI, while exports and FDI inflows remained abysmally low. LEP was a failed policy instrument for NEI despite many claims and assumptions. The major reason was infrastructure deficits and poor connectivity in the region for a prolonged period. AEP has emerged as a new ‘development paradigm’ with renewed thrust on infrastructure buildup and connectivity constructions. The ongoing and completed connectivity projects in rail, road, air and water, improvement in power and telecom, multimodal logistic park in Assam and improvement of trade infrastructure in NEI under AEP would attract investment from both domestic foreign sources, enhance productive capacity, increase exports and accelerate economic growth. AEP is expected to open new possibilities for trade and investments in NEI through regional economic integration with South Asian and South-east Asian economies given geographical location, ethno-cultural proximity, historical linkages and resource endowments.

Pollution characteristics and risk assessment of organophosphate esters (OPEs) in typical industrial parks in Southwest China.

As alternative substances of PBDEs, organophosphate esters (OPEs), an emerging organic pollutant, were increasingly produced and used in many kinds of industries and consumer products. However, OPEs also have various adverse toxic effects. Information on the pollution levels and exposure to OPEs in related industries is still limited. This study presented data on OPE contamination in the soil, leaf, and river water samples from seven typical industrial parks in Southwest China. Total concentration of seven OPEs (Σ7OPE) including tri-n-butyl phosphate (TnBP), tris-(2-ethylhexyl) phosphate (TEHP), tris-(2-butoxyethyl) phosphate (TBEP), tris-(2-carboxyethyl) phosphine (TCEP), triphenyl phosphate (TPhP), tris-(1,3-dichloro-2-propyl) ester (TDCPP), and tris-(chlorisopropyl) phosphate (TCPP) in the soil samples (36.2 ~ 219.7 ng/g) and the surrounding river water samples (118.9 ~ 287.7 ng/L) were mostly lower than those in other studies, while the Σ7OPE level in the leaves (2053.3 ~ 8152.7 ng/g) was relatively high. There were significant differences in the concentration and distribution of OPEs in the surrounding environment of different industrial parks. TDCPP, TnBP, and TCPP could be used as the characteristic compound in soil samples from auto industrial park, river samples from shoe making industrial park, and leaf samples from logistics park, respectively. The parameter m (the content ratio of chlorinated OPEs to alkyl OPEs) was suggested to distinguish the types of industrial park preliminary. When m ≥ 1, it mainly refers to heavy industries sources such as automobiles, electronics, and machinery, etc. When m<1, it mainly for the light industrial sources such as textile industry, transportation services, and resources processing, etc. For logistics park, furniture park and Wuhou comprehensive industrial park, the volatilization of materials was the main sources of OPEs in the surrounding environment, while more effort was required to strengthen the pollution control and management of the waste water and soil in the pharmacy industrial park, shoe making industrial park and auto industrial park. Risk assessment showed that there was a negligible non-cancer and carcinogenic risk in the soil, while high attention should be paid to the non-cancer risk for children.

Appointment scheduling for logistics parks under truck heterogeneity and order fulfillment delay

ABSTRACT Appointment scheduling is critical for logistic parks of manufacturing industry firms to manage inventory turnover and schedule service objects. This work studies the appointment scheduling problem of a logistic park considering truck heterogeneity and order fulfillment delay, where the number of time windows in a day, the number of each type of appointment slot, and the service schedule in each time window are decided. The objective is to minimise the expected total cost of the truck waiting time, inventory, and overtime. We introduce a weighted shortest processing time first scheduling rule to determine the service sequence in each time window and prove that it generates optimal scheduling solutions. Based on our proposed scheduling rule, we develop a recursive calculation to formulate the cost function, which provides a tractable approach to solving combinatorially complex problems. The proposed model is solved by a dual-selection based genetic algorithm (DSGA). The performance of the DSGA is validated by comparing it to a genetic algorithm using a single tournament selection operation. Our experimental results show that the DSGA enlarges the size of subgroups with better fitness and therefore performs satisfactorily.

Optimization of Pickup Vehicle Scheduling for Steel Logistics Park with Mixed Storage

Pickup vehicle scheduling in steel logistics parks is an important problem for determining the outbound efficiency of steel products. In a steel logistics park, each yard contains different types of steel products, which provides flexible yard selection for each pickup operation. In this case, the yard allocation and the loading sequence for each vehicle must be considered simultaneously in pickup vehicle scheduling, which greatly increases the scheduling complexity. To overcome this challenge, in this paper, we propose a pickup vehicle scheduling problem with mixed steel storage (PVSP-MSS) to optimize the makespan of pickup vehicles and the makespan of steel logistics parks simultaneously. The optimization problem is formulated as a multi-objective mixed-integer linear programming model, and an enhanced algorithm based on SPEA2 (ESPEA) is proposed to solve the problem with a high efficiency. In the ESPEA, a cooperative initialization strategy is firstly proposed to initialize the vehicle pickup sequence for each yard. Then, an insertion decoding method is designed to improve the scheduling efficiency, utilizing the idle time of a yard. Furthermore, local search technology based on critical paths is proposed for the ESPEA to improve the solution quality. Experiments are executed based on data collected from a real steel logistics park. The results confirm that the ESPEA can significantly reduce both the makespan of each pickup vehicle and the makespan of the steel logistics park.

Research on Life Cycle Quality Evaluation of Urban and Rural Distribution Intelligent Logistics Park Development

In urban and rural distribution, intelligent logistics parks are crucial, and the life cycle is the key to the long-term development of intelligent logistics parks. This paper combines the actual situation of urban and rural distribution intelligent logistics parks, through literature analysis, questionnaire research, etc., using the AHP and gray correlation method to systematically construct a life cycle development quality evaluation system and evaluation scheme for urban and rural distribution intelligent logistics parks that is operable, quantifiable and comparable, and innovatively starts from the digitization, intelligence and greening of urban and rural distribution intelligent logistics parks, and divides the evaluation system is divided into five major aspects (infrastructure and planning, operation management and service, intelligentization level, environmental impact and sustainable development, economic and social benefits). After analyzing the advantages and shortcomings of various single evaluation methods, through the combination and improvement of hierarchical analysis method and gray correlation method, it provides certain theoretical basis and methods with practicality and universality for the evaluation of the development quality of urban and rural distribution intelligent logistics parks, so that urban and rural distribution intelligent logistics parks can carry out the evaluation of the development life in an operable, quantitative and comparative way through this evaluation method, to understand their own This will enable the urban and rural distribution intelligent logistics parks to carry out development life evaluation in an operable, quantifiable and comparable way through this evaluation method, so that they can understand their own level and find out the deficiencies, so that they can clearly define the direction of improvement of the quality of logistics and improve their own level of development

Research on Layout Optimization of Qingdao Business Service Logistics Park

Research on Layout Optimization of Qingdao Business Service Logistics Park

Modeling and simulation analysis of optimal layout scheme of aviation logistics park based on genetic algorithm

AbstractAs an important component of modern logistics industry, aviation logistics parks address the problems of unreasonable layout and low efficiency in traditional planning and construction methods. The study first constructed a grid model for optimizing the layout of functional areas in the aviation logistics park, and selected the layout scheme with the highest comprehensive correlation as the optimal planning. At the same time, three important model parameters were determined: prediction of cargo throughput, size of functional areas in the park, and comprehensive correlation values between functional areas. Subsequently, in response to the optimization problem of functional area layout in aviation logistics parks, a cosine adaptive genetic algorithm based on adaptive reversal operation was introduced to solve the model. According to the findings, the research mention algorithm has an average utilization rate of up to 69.64% in the international freight zone, which is a 12.38% improvement over the conventional genetic algorithm. Additionally, it has an average domestic cargo area utilization rate of 67.93%, 11.24% greater than the genetic algorithm. This demonstrated that the functional area layout scheme of the aviation logistics park produced by examining the suggested algorithm is extremely viable and offers new ideas and techniques for the planning and designing of aviation logistics parks.

Creating a Decision-Making Program for the Decline Period of Emergency Events

Based on the analysis of the life cycle theory of emergencies, an emergency decision-making method basedon linguistic information and ordering organization is proposed to solve the problem of emergency plan selection duringthe decline period of emergencies. Firstly, language decision theory is introduced to determine the relative importance ofdecision members and the weight of key indicators. Secondly, the extended weighted average operator is used to aggregatethe preference information of alternative solutions and the relative importance of decision members. On this basis, theranking organization method is introduced to deal with the complex relationship between different key indicators andalternative solutions. Finally, the net flow of each alternative is ranked to determine the optimal one. The feasibility andeffectiveness of this method are verified by taking the operation recovery after a fire in a logistics park as an example.

Epidemiological characteristics of a local cluster epidemic caused by the BA.2 evolutionary branch of Omicron variant

Descriptive epidemiological methods were used to analyze the epidemiological characteristics of the local cluster of COVID-19 in the logistic park of Yuhang District in Hangzhou in March 2022. The cluster epidemic was detected by a case who actively visited the fever clinic. The epidemic lasted for 8 days, and a total of 58 cases (53 workers, 2 students, 1 farmer, 1 teacher and 1 unemployed) were found, including 40 males and 18 females. The age was (33.29±12.22) years. There cases were mainly in Yuhang District (48 cases, 82.77%) and Shangcheng District (7 cases, 12.07%) of Hangzhou. The real-time regeneration number peaked at 2.31 on March 10th and decreased to 0.37 on March 15th. The sequencing result of the indicated case was 100% homologous with the sequence uploaded from South Korea on March 4th, 2022.

Research on the application of cellular automata and improved BP neural network in road design of logistics park

With large-scale construction of the Logistics Parks, it has become an urgent problem to quantitatively analyze, evaluate and optimize the logistics park designing, which needs to be solved scientifically. At present, more of the domestic logistics park planning of a part of the qualitative analysis, the lack of quantitative and overall study, resulting in internal structure disjointed. Based on cellular automata theory, this paper presents a hybrid traffic flow model which is more suitable for the traffic characteristics of the logistics park, and analyzes the complexity of the collection and evacuation system in the logistics park, combined with BP neural network and its improved algorithm, the method of road design in Logistics Park is studied and the feasibility and validity of the model and algorithm are verified by an example. The train of thought is expected to provide for the planning and construction of the internal road in the logistics park.

Lay-out of air source heat pump heating system in Lugang Logistics Park

In order to understand the process of using the heat pump heat organization, the author proposes to conduct a study based on the concept of heat pump air heating system in ?Land Port Logistics Park?. The author first analyzed the heating characteristics of the ground transportation fleet according to the actual situation, optimized the design of the heat pump, and proposed the same plan. Second, taking some provincial underground parks as examples, the actual performance of the park?s air source heat pump heating system was tested. According to the test, the temperature difference between the supply and return water is 3-4?C, and the average COP of the entire heating season is only 2.1. Based on the analysis and analysis, the meaning of the problem in the actual operation of the heat pump is explained, the cause of the problem is the determination of the pressure and the design plan. After installation, energy consumption can be further reduced, and it advises on the progress and use of the ventilation system. By using electric equipment to heat the docks in the port, it is possible to meet the heating needs of the park and reduce energy consumption and air pollution. Good this is a green and low carbon promise.

Operational Model Innovation of Hainan Green Logistics Park under the Carbon Emission Trading Mechanism

Operational Model Innovation of Hainan Green Logistics Park under the Carbon Emission Trading Mechanism