Agricultural Products Logistics Research Articles

Massive-scale graph mining for e-commerce cold chain analysis and optimization

Presently, the development of fresh agricultural products e-commerce is constrained by the cold chain logistics. There are shortcomings such as the incomplete comprehensive supporting system, lacking of logistics technology and low effective infrastructure in cold chain logistics. Scientific and optimal selection of distribution mode is crucial to the operation of fresh e-commerce and urban circulation efficiency. Owing to the problem that urban logistics distribution limits the cold chain logistics of fresh agricultural products, we propose the distribution mode and synergistic mechanism of cold chain logistics of urban fresh agricultural products. By leveraging the theory of logistics and supply chain management, we explore the high logistics cost of fresh e-commerce, inconsistent cold chain logistics standards, and poor consumer viscosity. We introduce the self-established logistics, third-party logistics, self-established logistics, third-party logistics and other three main logistics distribution modes. Due to the impact of cold chain logistics distribution on the existing urban transportation, an integrated mode of self-established logistics/third-party logistics + joint distribution is designed. In order to promote the collaborative development of cold chain logistics distribution and fresh electricity, it is significant to establish three collaborative mechanisms from the perspective of government, enterprises and third-party logistics According to the green logistics, the carbon tax cost and cargo damage cost in the process of cold chain logistics distribution are discovered by a graphical model. The graphical model is constructed under the optimization objective of minimizing each cost. In order to avoid the problem that basic artificial fish swarm algorithm is prone to local optimum, a global artificial fish swarm algorithm is designed and solved. Extensive experimental results have shown the usefulness and effectiveness of our proposed method.

Effective Cold Chain Supply of Agricultural Products Logistics in China Based on Internet of Things

China is a big agricultural country, as well as a big country in the production, supply and consumption of agricultural products. With the increasing demand for agricultural products, the effective supply of agricultural products logistics needs to be improved. or thinks it is necessary to explore the rapid development of agricultural product logistics and Internet of things technology in China, so as to achieve the goal of maximizing the profit of agricultural product logistics. In this regard, based on the Internet of things technology, this paper discusses the problems and shortcomings of agricultural products logistics cold chain supply, and puts forward optimization suggestions, to provide theoretical reference for the improvement of effective supply mode, so as to promote the development of cold chain, and promote the development of China’s agricultural products logistics supply.

Research on Cold Chain Logistics Operation Mode Under Internet Technology

This article first introduces the theoretical basis and concepts related to cold chain logistics of agricultural products, analyzes the cold chain logistics market of agricultural products and the necessity of developing cold chain logistics, and then finds that there is a lack of overall planning for cold chain logistics of agricultural products. Subsequently, it carried out the “Internet +”-based agricultural product cold chain logistics system planning and based on agricultural product development logistics’ actual situation, and it gave cold chain system optimization suggestions. Finally, a cold chain logistics enterprise for agricultural products is used to construct a cold chain logistics system for agricultural products, including business models, information platforms, and system functions.

Evaluation and Study on influencing factors of agricultural products logistics efficiency based on DEA-Tobit model -- from panel data from 2010 to 2019

This paper is to evaluate the agricultural products logistics efficiency in China by means of the software Deap2.1 on the basis of the panel data of agricultural products logistics related indicators from 2010 to 2019; analyze the influencing factors of agricultural products logistics efficiency by means of Tobit model. The results of the study show that: It’s low of the comprehensive efficiency of agricultural products logistics, which is significantly affected by the economic development level, location advantages and the utilization efficiency of agricultural products resources. There are still deficiencies in the input of professional talents, etc. and the scale effect has not yet been realized, and the overall logistics capacity of agricultural products is weak; This paper puts forward the reasonable allocation of input resources from three levels of government, industry and logistics subjects, to improve the logistics efficiency and realize the cost reduction and efficiency increase of agricultural products.

Route planning method for cross-border e-commerce logistics of agricultural products based on recurrent neural network

Route planning method for cross-border e-commerce logistics of agricultural products based on recurrent neural network

Research on Location Selection of Agricultural Products Logistics Distribution Center Based on Two-stage Combination Optimization Algorithm

The development of agricultural product logistics has a great impact on agricultural development. With the advancement of modern agriculture, agricultural product logistics is also facing important changes. On the basis of spatial analysis to determine the candidate address of the distribution center, this paper takes the lowest comprehensive cost as the objective function, establishes the distribution center location model, and solves it through the immune algorithm. On the basis of determining the distribution center, a distribution route optimization model with hard time windows for multiple distribution centers is established, and the tabu search method is used to solve the problem. According to the demand for time-sensitive fruit and vegetable agricultural products in a certain area and the actual circulation and distribution of fruit and vegetable agricultural products in newly developed enterprises, it is combined with the work done by the fruit and vegetable time-sensitive cold chain location planning model. Taking the grape distribution of Xinfadi Co., Ltd. in a certain area as an actual example of the model, using LINGO to solve and analyze the site selection model constructed in the paper, it verifies that the site selection plan for agricultural products that takes into account the characteristics of a complete cold chain and time-efficiency in this paper has a comprehensive low cost advantage.

Research on the construction and optimisation of agricultural product circulation standard system under the internet background

ABSTRACT In the context of the Internet, the agricultural product circulation standard system needs to undergo corresponding changes to adapt to the modern fast-paced social system. Based on the summary of domestic and foreign theoretical research, this paper adopts five methods including literature research, field investigation, case comparison analysis, model construction, qualitative and quantitative methods to study the agricultural product circulation system. Moreover, this paper analyses the connotation of agricultural products and agricultural product circulation system, and takes the agricultural product circulation system as the research object, and uses field investigation as the research method to systematically analyse the contents of the agricultural product circulation subject, circulation channel, and logistics operation mode. In addition, this article combined with examples to quantitatively analyse my country's agricultural product logistics operations. Finally, this article combines the agricultural product logistics system with fuzzy comprehensive evaluation method to analyse the product circulation standard under the Internet background and customer needs to put forward several suggestions for improvement, and builds an improved agricultural product circulation standard system.

Fuzzy cognitive map based vulnerability analysis of agricultural products cold chain logistics: a perspective of carbon footprint

As an important part of the development of a low-carbon economy, developing low-carbon logistics is an important measure to implement transform the economic development mode and cope with global warming. In order to effectively realize the low-carbon operation of agricultural cold chain logistics, a fuzzy cognitive map is employed to analyze the vulnerability of agricultural cold chain logistics on the perspective of carbon footprint. With the analysis above, the influencing factors of carbon emissions in cold chain logistics operations can be identified. Therefore, the carbon reduction strategy of the cold chain logistics of agricultural products can be obtained. Our findings can be as decision-making reference for relevant departments and enterprises to better formulate cold chain low carbon emission strategies and promote green logistics to achieve high-quality development.

On tracing abnormal links in cold chain logistics of agricultural products by using location based service

In the daily food consumption, the proportion of fruit and vegetable agricultural products is increasing year by year. However, incidents such as problematic cucumbers, dyed Chinese peppers and poisonous bean sprouts have triggered public concerns about the quality and safety of fruit and vegetable products. In order to further stabilize the market supply of fruits and vegetables, it requires to ensure the quality and safety. The key link in the food safety mechanism is the traceability of cold chain logistics information. It is an inevitable trend of food safety management. Through information traceability, it is possible to accurately obtain the production information, processing information and circulation information of agricultural products in each link of the supply chain, so as to implement the transparency of the entire circulation of agricultural product transportation. In order to trace the abnormal links in cold chain logistics, this paper divides the urban geographic area by latitude and longitude based on the road network structure and uses characters in combination with the LZW algorithm to compress the string and code of the trajectory of cold chain vehicles. The experimental results show that it has high compression rate and can recover the trajectory with high similarity. Thus, the compressed string and code can reduce the storage.

Building resilient food system amidst COVID-19: Responses and lessons from China

CONTEXTThe COVID-19 pandemic continues to spread over the world and has heightened concerns over global food security risks. As the first country hit by COVID-19, China has adopted a series of stringent mitigation policies to contain the spread of virus. This has led to food system disruptions due to restrictions on labor and interruption of transport, processing, retailing, and input distribution. OBJECTIVEThe objective of this contribution is to report evidence for initial impacts and resilience of China's food system amid the COVID-19 pandemic and to discuss government's responses as well as long-term efforts that promoted resilience. METHODSWe reviewed a range of publications, government released reports and official information, blogs, and media articles, and whenever possible, we complemented this qualitative information with quantitative data from China's National Bureau of Statistics and finally empirical data obtained from a simulation study. RESULTS AND CONCLUSIONSWe identified China's earlier responses in each key food system activities including ensuring effective logistics of agricultural products and inputs, supporting production and processing, matching supply with demand, and mitigating consumer's income loss. In particular, innovative information and communications technology (ICT) applications along the food system had been highlighted. Coupled with China's long-term efforts in investing in agriculture, building emergency response systems, and adopting governor's responsibility mechanisms, there has been little panic in the food system with largely sufficient supplies and stable prices. In the second quarter of 2020, after registered negative growth in the first quarter, primary agriculture grew by 3.4% and the negative growth of livestock production was narrowed significantly by 8.7 percentage points. Food prices rose by a modest 0.6% and returned to normal after a surge in February 2020. SIGNIFICANCEWe expect that China's experiences on building resilient food systems could improve understanding of the challenges posed by COVID-19 from a retrospective perspective and provide lessons to other countries that are experiencing disruptions in the food systems worldwide. The lessons are also important for strengthening the resilience of food systems over longer time horizons.

A novel phase change coolant promoted quality attributes and glutamate accumulation in postharvest shiitake mushrooms involved in energy metabolism

Cold chain transportation is an important link in postharvest logistics of agricultural products. In current study, we developed a novel water-based phase change coolant (PCC), which showed longer effectiveness in maintaining low temperature condition compared with ice, and applied in preserving the postharvest mushrooms. The results showed that the novel PCC effectively inhibited water loss, as well as maintained quality attributes including firmness, color, phenolics, flavonoids, and thus prolonged the shelf-life of mushrooms. Low temperature condition created by the novel PCC treatment maintained high level of energy charge by activating the activities of SDH, CCO, H+-ATPase and Ca2+-ATPase, resulting in the delay of postharvest senescence. In addition, sufficient energy supply decreased the consumption of glutamate as carbon skeleton by inhibiting GDH activity, improved glutamate accumulation, and therefore maintained sensory properties as a result. Thus, the novel PCC might be an excellent substitute for ice in cold chain transportation of mushrooms.

Research on Integration Track and Quantity System of Agricultural Products Logistics Resources in Low Carbon Environment

At present, my country’s agricultural product logistics is still in its infancy, the agricultural product circulation system is still relatively backward, the agricultural product circulation links are too many, the logistics technology level is low, the logistics cost is high, and the agricultural product circulation information is not smooth. In the context of low-carbon economy, in order to promote the integration of resources in the agricultural product supply chain system, optimize the operation between organizations and make it similar to the internal operation of the organization, and realize the rationalization and maximization of overall benefits, supply chain integration should be used Thought, carry out integrated management of agricultural product logistics, build a supply chain integrated agricultural product logistics model, and promote the integration of agricultural product production links, the integration of circulation links, and the integration of the supply chain of production and circulation links.

State and prospects of competition, communications and logistics of agro-food products

Communication and logistics are one of the most important features of the markets; they permeate and constitute its content. Communication and logistics for commodity producers are also as important attribute as production itself, and sometimes even more. For this reason, commodity producers themselves directly and explicitly, but more often through other institutions (including the government), tend to set up stable exclusive communication systems and logistics. This article analyzes the state of the prospects for the formation of communications and logistics networks for agricultural products. The correlation of existing communications and logistics of agricultural products and other types of products (including finished industrial products of various purposes: from machinery, equipment, chemical products to defense, hydrocarbon, carbon and other raw materials, timber and other goods) is analyzed. The established linkages are revealed. They were quantified, calibrated and classified. The existing principles (comparative and absolute advantages) are reviewed and new principles are formulated (marginal player, marginal linkages), which describe the real situation in the markets of agricultural products more correctly. New criteria for grouping and reformatting existing communication and logistics networks, which make it possible to increase the competitiveness of domestic agricultural products are proposed.

Research on Agricultural Products Logistics and Supply Chain System Based on Computer Big Data Model

With the development of the market, the traditional production and circulation mode of agricultural products can no longer meet the requirements of market informatization and supply chain development. Therefore, it is necessary to study a new production and circulation method of agricultural products to solve the problems caused by traditional methods. We build an innovation system for agricultural product supply chains led by big data service providers, integrating agricultural product supply chain resources, reducing agricultural product circulation links, reducing costs, achieving agricultural product traceability, and ensuring agricultural product quality and safety. Based on this, this article proposes an agricultural product supply chain model based on an integrated management platform, and conducts in-depth research on the logistics operation logic of agricultural product supply chain to provide theoretical basis and data support for the design and development of the management platform.

Research on Application of Cold Chain Logistics Management Based on Big Data Technology

Compared with developed countries, the cold chain logistics of agricultural products in china is wasteful, which not only consumes a lot of labor and natural resources, but also reduces the domestic and international competitiveness of agricultural products. The paper analyzes outstanding issues such as cold chain "broken chain", "information islands", and cold chain "food safety". Through the integration of advanced information technologies such as big data and mobile internet, a cold chain logistics engineering management technology platform is established to establish a national The data analysis center and the national cold chain logistics big data real-time monitoring and early warning platform, open up the logistics information chain, realize the full traceability of logistics information, promote the effective docking of logistics information and public service information, and encourage the sharing of information on logistics platforms between regions and industries. interconnection.

Forecasting agricultural product logistics demand by nonlinear principal component analysis and a support vector machine optimised by the grey wolf optimiser

Forecasting agricultural product logistics demand by nonlinear principal component analysis and a support vector machine optimised by the grey wolf optimiser

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%.

Analysis on the Cause and Countermeasure of Cold Chain Logistics of Fresh Agricultural Products

<p>During the continuous development of e-commerce, we analyze the fresh food e-commerce market and the reported data in recent years, and explore the selection of fresh agricultural products in the cold chain, transportation and distribution, storage and sales. Meanwhile, countermeasures have been made to solve the problem of cold chain disconnection of fresh agricultural products through supply services, infrastructure construction and information management. Ensuring the continuous chain of the cold chain process needs to rely on the collaboration of consumers, businesses, cold chain logistics and other parties, and the cold chain logistics of fresh agricultural products e-commerce requires more in-depth research to maintain no “broken chain”.</p>

Research Framework of Fresh Agricultural Products Logistics Network Optimization Based on Cold Chain

The paper comprehensively integrates multidisciplinary theoretical knowledge such as complexity network, game theory, ecology, system coordination optimization theory, using mathematical analysis and system model construction and other tools to carry out structural analysis and operation mechanism research on agricultural product cold chain logistics ecosystem. The paper explains the interrelationship between the micro-behaviors of the node members of the cold chain system and the evolution of the macro-structure of the system, reveals the complexity of the evolution of the cold chain logistics ecosystem, and studies the impact of the system coordination mechanism on the optimal decision of the system members. The agricultural product cold chain ecosystem network will be comprehensively coordinated and optimized, thereby ultimately improving the overall performance of the cold chain system.

Service quality evaluation of fresh agricultural products cold chain logistics based on principal component and neural network

With the rapid development of fresh e-commerce, the cold chain logistics service quality of fresh agricultural products has attracted the attention of businesses and customers. Starting from the connotation of cold chain logistics service quality, the evaluation index system of agricultural products cold chain logistics service quality with 13 influencing factors was established. Considering that too many dimensions of input data and strong correlation among indexes will affect the training of neural network, this paper proposes to build a service quality evaluation model of cold chain logistics of fresh agricultural products by combining principal component analysis with BP neural network. Through the actual data verification of an e-commerce logistics enterprise, the evaluation accuracy rate is significantly improved, which provides an effective method for the service quality evaluation of fresh agricultural products cold chain logistics.