Agricultural Products Cold Chain Research Articles

Fresh agricultural products cold chain logistics distribution and path optimization

Based on the reference to the existing research results, combined with the enterprise's current distribution path, to minimize the cost as the research objective, to establish the relevant model, and put forward the control of logistics costs, increase the infrastructure investment in cold chain logistics, the optimization of the path of countermeasure proposals, to further improve the efficiency of the enterprise distribution and increase customer satisfaction at the same time reduces the cost of distribution, increase the core competitiveness of the industry.

Optimization of fresh produce delivery path based on C-W saving algorithm

Because fresh agricultural products have the characteristics of difficulty in preserving freshness, short shelf life, and are perishable and fragile, so they have extremely high requirements for warehousing, distribution, and other multiple links, and their distribution costs have caused some economic pressure on Z. To reduce the distribution costs of Z's distribution centers and to maximize the satisfaction of customers' needs, it is very important to carry out reasonable planning of the distribution paths. How to scientifically and reasonably formulate the vehicle distribution plan and arrange the distribution path program, shorten the time of fresh agricultural products in transit and reduce the company's logistics and distribution costs, maximize customer satisfaction, and accurately and timely provide customers with high-quality fresh agricultural products and high-quality distribution services are of great significance. In this paper, by summarizing the existing literature on the optimization of the distribution path of fresh agricultural products cold chain logistics, the C.W saving algorithm is used to optimize the path of the distribution center of Z company.

Research on Optimization of Agricultural Products Cold Chain Logistics Distribution System Based on Low Carbon Perspective

Based on thindiscussion of the traditional agricultural product distribution model, this article establishes a low-carbon perspective of urban agricultural product co-distribution model to reduce the level of agricultural product circulation and reduce the impact of distribution activities on the environment. By comprehensively considering the factors affecting carbon emissions in the vehicle delivery process, the fuel consumption and carbon emissions estimation models of delivery vehicles are analyzed and put forward. A mathematical model for the optimization of urban agricultural product cold chain distribution routes from a low-carbon perspective is established. This article takes a logistics center as an example, selects genetic algorithm as the model solution method, optimizes the distribution route, and obtains the corresponding result, thus verifying the rationality and feasibility of the model.

Research on Supply Chain Management Countermeasures for Fresh Agricultural Products

Due to the rapid growth of China's economy and the popularization of the Internet, Online platforms are becoming increasingly popular for consumers to purchase products, online shopping platforms can provide consumers with a richer range of products and cheaper prices, and therefore favored by consumers. Fresh products, which are considered a special type of consumer goods, are subject to more restrictions on transportation and sales due to their characteristics, which solves the development dilemma of fresh products. In the face of this situation, this article mainly analyzes the problems of the cold chain logistics service system of fresh agricultural products in the context of e-commerce and puts forward the corresponding countermeasures on the basis of which, provides suggestions and guidelines for the development of the relevant logistics and fresh food industry, and then better promote the healthy and sustainable development of fresh agricultural products cold chain logistics under the background of e-commerce.

On the First Kilometer Problem of Agricultural Products Cold Chain Logistics in Huaihua City Considering Green Development

Huaihua has vast land and is the largest prefecture level city in Hunan Province. With abundant natural resources, it is a city with a high output of agricultural products in Hunan Province. The loss and quality of agricultural products during transportation have always been a key concern for farmers and consumers.This article analyzes the problems that exist in the first one kilometer of agricultural product cold chain logistics in Huaihua City, proposes a mobile pre cooling mode to ensure the quality of agricultural products in the first one kilometer, and conducts a simple calculation of its operational return, aiming to solve the problems of high loss and difficult quality assurance in the transportation process of agricultural products.

Influencing Factors of Agricultural Products Cold Chain Logistics Development Based on ISM Model

Influencing Factors of Agricultural Products Cold Chain Logistics Development Based on ISM Model

Research on The Evaluation System of Fresh Agricultural Products Cold Chain Logistics Service Quality in the Context of Electronic Commerce

This paper studies the service quality evaluation system of fresh agricultural products cold chain logistics in the context of e-commerce, constantly improve and optimize it, and ensure its effective implementation, which can not only improve the service quality, but also effectively promote the healthy development of fresh agricultural products cold chain logistics in the context of e-commerce. From this study, the optimization of the service quality evaluation system can be realized from the establishment of a sound index system, the realization of a scientific and reasonable evaluation method, the strengthening of the evaluation process control, the timely feedback of the evaluation results and the strengthening of the application of the results, in order to better promote the development of fresh agricultural products cold chain logistics in the context of e-commerce.

Quality Control of Agricultural Products Cold Chain Logistics under Internet of Things Technology

China's agricultural production has achieved fruitful results in recent years, but on the whole, problems such as scattered production, low degree of modernization and lack of integrated organization and operation of production, supply and marketing are still outstanding. However, the achievement of the synergy benefits of cold chain logistics systems cannot be achieved overnight. Relevant entities should consciously and gradually adopt organized strategies and means to promote the evolution of self-organized collaboration to a higher stage. It is of great practical significance to explore the collaborative path and realization mechanism of cold chain logistics of agricultural products in China under the technology of IOT (Internet of Things), to promote relevant enterprises to solve the "bottleneck" of industrial development in interactive coordination, and to realize seamless connection of cold chain logistics nodes and effective integration of resources. To a certain extent, the wholesale market can more accurately control the types and quantities of products demanded by the market, and also has the ability to schedule all links. Build a backbone network of agricultural products cold chain connecting the main producing areas and consumption areas of agricultural products, and improve the security level of large-scale agricultural products logistics.

基于物联网的农产品冷链物流安全监控系统设计

In order to improve the safety of cold chain logistics transportation and the accuracy of monitoring results, a design method of agricultural products cold chain logistics safety monitoring system based on the Internet of Things is proposed. The monitoring system includes wireless sensor, embedded and GPS technologies. In order to effectively realize the management of logistics monitoring data, this paper proposes improved Leda criteria to remove outliers in information fusion, and an information transmission method based on multicast greedy forwarding (MGF) algorithm on the basis of traditional management means, thus realizing logistics vehicle monitoring and logistics information tracing. The result shows that the object loss rate of the proposed logistics supervision method is only 1.7%, which is significantly lower than other supervision methods. And the monitoring accuracy of the monitoring method proposed in the study is also significantly higher than other methods, which can achieve effective supervision in the cold chain transport process of agricultural products. The above results show that it is feasible to adopt improved methods to realize the safety monitoring of logistics cold chain transportation, which is of great significance to the external sales of agricultural products and the development of logistics technology.

Application of Collaborative Optimization in Urban Fresh Product Logistics Inventory and Distribution System

People’s requirements for material needs and living standards are gradually increasing, and consumers’ demand for fresh, fruit, and vegetable cold chain foods is also increasing. This paper takes urban fresh agricultural products cold chain logistics as the research object, establishes a collaborative optimization model of urban fresh agricultural products cold chain logistics inventory and distribution based on distribution centers, proposes a partitioning solution strategy for the multidistribution center problem, and proposes a collaborative optimization in urban fresh agricultural products logistics inventory and distribution system. The application of collaborative optimization in urban fresh product logistics inventory and distribution system is proposed.

Influencing Factors Analysis of Collaborative Development Level of New Retail and Cold Chain Distribution of Agricultural Products under Low-Carbon

With the annual growth of agricultural products， which has greatly met People’s daily needs. It is of great practical significance to introduce the low-carbon concept into the retail and cold chain logistics of agricultural products. However, few studies have designed the coupling relationship between the new retail of agricultural products and the development of cold chain distribution. In this context, this work uses principal component analysis (PCA) to extract the common core factors that affect the operational benefits of cold chain low-carbon distribution and the consumer experience of new agricultural retail. Then, the coupling linkage model of cold chain low-carbon distribution and new retail of agricultural products was constructed by using grey correlation analysis. Finally, a new retail and agricultural products cold chain coupling mechanism under low-carbon distribution is designed. The work is helpful to improve the new downstream supply chain retail enterprise management ability of agricultural products, promote cold-chain distribution business benefit and business value, and also helps to promote the implementation of the strategy of rejuvenating and promote the country. This study is conducive to improving the downstream supply chain management ability of new agricultural retail enterprises, enhancing the cold chain distribution business efficiency and business value, and ultimately promoting the implementation of a rural revitalization strategy.

Location Optimization of Fresh Agricultural Products Cold Chain Distribution Center under Carbon Emission Constraints

This paper seeks to effectively realize energy saving and emission reduction in the process of location for fresh agricultural cold chain logistics. It is based on the traditional location for distribution center optimized for both freshness and carbon emissions. A bi-objective function location model was constructed to minimize the total cost and carbon emission and a two-stage heuristic algorithm was designed to solve the model. According to analyzing the location case of Y enterprise in Zhejiang Province, the THA had an average total cost optimization rate of 7.70% and an average carbon emission optimization rate of 10.23% compared to the WOA, while it had a rate of 12.77% and 14.12%, respectively, compared to the PSO. When the unit carbon emission cost increased from 0.02 dollar/kg to 0.06 dollar/kg, the comprehensive carbon emission cost increased by 42.07% and the total cost increased by 3.05%. Therefore, logistics enterprises can achieve the reduction of logistics costs and sustainable development through reasonable location for fresh agricultural products cold chain distribution centers.

Optimizing Fresh Logistics Distribution Route Based on Improved Ant Colony燗lgorithm

With the rapid development of the fresh cold chain logistics distribution and the prevalence of low carbon concept, this paper proposed an optimization model of low carbon fresh cold chain logistics distribution route considering customer satisfaction, and combined with time, space, weight, distribution rules and other constraints to optimize the distribution model. At the same time, transportation cost, penalty cost, overloading cost, carbon tax cost and customer satisfaction were considered as the components of the objective function, and the thought of cost efficiency was taken into account, so as to establish a distribution model based on the ratio of minimum total cost to maximum satisfaction as the objective function. Then, the improved A* algorithm and ant colony algorithm were used to construct the model solution. Through the simulation analysis results of different calculation examples, the effectiveness, efficiency and correctness of the design of the single target low-carbon fresh agricultural products cold chain model by using the improved ant colony algorithm were verified.

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.

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.

Research on double-layer model of cold chain Network based on Genetic Algorithm

Based on the self-run cold chain logistics model dominated by large chain supermarkets, this paper establishes a double-layer programming model of fresh agricultural products cold chain logistics network optimization model of large chain supermarkets. The upper model is the total cost optimization model of cold chain logistics network, which solves the location problem of distribution points and the optimization problem of vehicle path. The lower level model is the optimized model of customer time satisfaction, which solves the problem of supermarket flow distribution. Finally, an example is given and an improved genetic algorithm is used to solve the two-layer programming model, which proved the double-layer model has certain theoretical and practical significance.

Fresh Agricultural Products Cold Chain Location Selection in Context of Big Data

In the domestic fresh market, agricultural products are one of the major consumer goods. The rational optimization of the fresh agricultural products cold chain distribution center location is of great significance in enhancing the efficiency of the entire cold chain logistics. Therefore, in the context of big data, this paper chooses the grey forecasting method with a higher prediction accuracy, applied GM(1,1) prediction model for fresh agricultural products demand forecast under the premise of comparing different forecast methods’ accuracy; Basing on the demand forecast, this paper formulates fresh agricultural products distribution center location model with the minimum total cost objective. In this objective, the thesis considers the cost of cargo damage and the penalty cost of violating the time window in order to this order to improve customer satisfaction and loyalty, which is considered by a few researchers. Finally, a specific case study is designed for Q enterprise to solve the optimal the result and test the validity of the model algorithm.

Analysis on Logistics Efficiency of China's Agricultural Products Cold Chain from the Green Perspective

Although the market demand for cold-chain logistics of agricultural products in China is growing rapidly, the technology and scale of cold-chain logistics in China still lag behind the developed countries, resulting in large energy consumption. In our country, many authors have studied the efficiency of cold-chain logistics by using analytic hierarchy process and data envelopment method, but they haven't eliminated the influence of environmental factors and random error factors on the efficiency of cold-chain logistics, and most of them are limited to regional research. Therefore, in this paper, the three-stage DEA method is used. Based on the green logistics idea, firstly, the efficiency of 29 listed logistics enterprises in China is analyzed. Secondly, this paper uses SFA model to exclude the influence of environment and error factors on the analysis results, taking the enterprise's operating years, local GDP and the proportion of cold chain assets as environmental variables. Finally, this paper estimates the efficiency value again by adjusting the input value. The results are as follows: the main reason of high efficiency enterprises is to achieve scale efficiency. So the scale of assets should be maintained or appropriately expanded. At the same time, the economic development and the number of years of enterprise establishment will significantly affect the efficiency of cold-chain logistics. The influence of these environmental variables on the accuracy of the analysis conclusion should be fully considered.

Analysis on Influencing Factors of Development of Agricultural Product Cold Chain Logistics in Jilin Province, China

Jilin province has a rich variety of agricultural and sideline products. The circulation of agricultural products needs the support of cold chain logistics. The development of cold chain logistics in Jilin province is lagging behind, which leads to waste of agricultural products and decrease of farmers' income. As a result, this article from the perspective of cold chain logistics development, extracted the influence factors of fresh agricultural products cold chain logistics development in Jilin province, using the analytic hierarchy process (AHP) on the degree of restriction factors, weight analysis found that agricultural products cold chain logistics costs, information technology application and market-based degree of cold chain logistics is the three main factors for the development of Jilin province agricultural cold chain logistics, and puts forward the development plan, in order to guide the development direction of Jilin agricultural cold chain logistics.

Study on risk assessment modeling and solution method of fresh agricultural products cold chain logistics

Under the market economy environment, consumers’ demands for quick delivery and quality of fresh agricultural products are increasing. At present, the circulation is an important link in the whole industrial chain from production to sales, but there are still problems such as delayed distribution, high logistics cost and serious product loss, which reduce customers’ trust and satisfaction with fresh agricultural products and increase the management risk of fresh agricultural cold chain logistics. In this paper, starting from the systematic management, we maximize customer satisfaction as the important indexes for evaluation of logistics risk, we analyse the distribution of a variety of cost and research with time window of fresh agricultural products cold chain logistics distribution problem, a optimization of fresh agricultural products distribution mathematical model is established, we use genetic algorithm and show the feasibility and effectiveness of the solution through simulation examples.