Products Cold Chain Logistics 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.

Exploring Symbiosis: Innovatively Unveiling the Interplay between the Cold Chain Logistics of Fresh Agricultural Products and the Ecological Environment

Cold chain logistics are crucial for reducing agricultural product loss, yet the environmental impact of energy and packaging consumption, among others, demands attention, making the search for eco-friendly development modes essential. Based on data from 30 provinces in China from 2015 to 2021, this study analyzes the basic correlation between the development of cold chain logistics of fresh agricultural products (CCLFAP) and the ecological environment (EE) by using a random forest regression model in comparison with the XGBoost model. Correlation heatmaps were used to analyze the relationships between the cold chain logistics of fresh agricultural products and various factors of the ecological environment. The generalized additive model was then used to establish the connection between cold chain logistics and the ecological environment, identifying significant factors impacting EE. The results demonstrate that a higher development level of cold chain logistics corresponds to a better development trend of EE. The economic efficiency and technical aspects of cold chain logistics for fresh agricultural products are closely related to ecological pressures and responses. The number of employees in the logistics industry, the trading volume of fresh agricultural products, the number of refrigerated vehicles, and the capacity of the cold room have significant positive correlations with the ecological environment, while the per capita consumption of fresh agricultural products, the number of cold chain logistics patent applications, and the road density had significant negative correlations with the ecological environment. The effects of the number of cold chain logistics enterprises and the freight turnover of agricultural products transported by the cold chain on the ecological environment fluctuated. These findings contribute to reducing climate and environmental emergencies throughout the life cycle, offering sustainable development solutions for the fresh agricultural product cold chain logistics industry.

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 Hotspots on Fresh Cold Chain Logistics Based on CiteSpace

With the rapid development of today's logistics industry, fresh cold chain logistics, as one of the important branches of the logistics industry, is an important means to ensure the quality and safety of fresh products, and its development has attracted more and more attention. In this paper, 181 papers related to fresh cold chain in Chinese core journals and CSSCI journals from 1998 to 2023 in CNKI database were taken as research objects, and the methods of keyword co-occurrence map, cluster map, and emergent word detection provided by visualization software CiteSpace were used to sort out and summarize the collected data, and explore the research hotspots and frontiers in the field of logistics process of fresh cold chain products. At the same time, China's agricultural product cold chain logistics research groups are in a fragmented state, and distribution mode and fresh e-commerce are the current hot spots of agricultural product cold chain logistics research; At present, there are still problems such as long supply chain, many circulation links, high cost and loss in the cold chain logistics of agricultural products, and in-depth discussions should be carried out from the aspects of intelligent logistics and cold chain logistics in the future.

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.

Demand forecasting of cold-chain logistics of aquatic products in China under the background of the Covid-19 post-epidemic era.

In the background of the post-epidemic era, the consumption demand and market scale of cold chain logistics in China are expanding, but there is still an obvious gap with developed countries. To complete the balance between the supply and demand for aquatic products and the rational allocation of logistics resources and promote the rapid development trend of aquatic product cold chain logistics, it is particularly important to forecast and analyze the demand for aquatic product cold chain logistics. This article selects six main factors that affect the demand for aquatic products in cold chain logistics, uses the traditional grey model and the grey-BP neural network model to simulate and predict the demand for aquatic products in cold chain logistics in China from 2012 to 2021, and compares and analyzes the simulation results. Generally speaking, the demand for aquatic products from Chinese residents is on the rise. In the simulation prediction process, the prediction error of the grey-BP neural network is reduced compared to the traditional grey model, and the processing ability of the nonlinear system is ideal. The results show that the grey-BP neural network model is an effective method to predict the demand for cold chain logistics of aquatic products. Finally, suggestions are made on the future development of aquatic cold chain logistics in the post-epidemic era from the economic, social, and environmental aspects, which provide valuable decision-making reference for the development of marine aquaculture enterprises and cold chain logistics industry.

Retracted: The Development Trend of China’s Agricultural Product Cold Chain Logistics from the Perspective of Big Data

Retracted: The Development Trend of China’s Agricultural Product Cold Chain Logistics from the Perspective of Big Data

Research on sustainable development of agricultural product cold chain logistics under public safety emergencies

Under a sudden public security event, as agricultural cold chain logistics has the characteristics of many participating subjects and wide spatial and temporal distribution, it is extremely vulnerable to shocks. Even minor disruptions in logistics can result in a significant impact on the daily lives of residents. Therefore, improving the resilience of agricultural cold-chain logistics is crucial for sustainable development. This paper studies the sustainable development path of agricultural cold chain logistics from a resilience perspective. Through rooting theory, the process of resilience in agricultural cold chain logistics under sudden public safety events is explored. Based on the knowledge meta-model, three elements of resilience events, resilient subjects, and resilience measures are used to contextualize the resilience process, and finally, using Bayesian networks and fuzzy set theory, a contextual derivation model of the resilience process of agricultural cold chain logistics under sudden public safety events is created. The results show that the resilience process of sustainable development consists of a resistance period, an adaptation period, a readjustment period, and an innovation period, during which the government and enterprises jointly take measures to effectively resist the impact of public emergencies, and further enhance the resilience through innovative development to ensure the sustainable development of agricultural cold chain logistics.

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

E-Commerce Fresh Products Cold Chain Logistics Positioning and Tracking System Construction

E-Commerce Fresh Products Cold Chain Logistics Positioning and Tracking System Construction

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.

Research on Green Technology Path of Cold-Chain Distribution of Fresh Products Based on Sustainable Development Goals

In order to meet customers’ demand for freshness and the time window of fresh product distribution, and achieve the sustainable development of the fresh product cold-chain logistics industry, green technology is used to solve the optimization problem of the cold-chain distribution path of a variety of fresh products, taking transportation, refrigeration, and carbon emission cost as the objective functions. A hybrid particle swarm optimization (HPSO) algorithm was designed to solve this problem with the minimum freshness requirement of different kinds of cold-chain distribution. The results show that when the minimum freshness requirement of each fresh product is 75%, the total distribution cost obtained by the hybrid particle swarm optimization algorithm is CNY 4218, and the customer satisfaction is 88.22%. While satisfying the freshness constraint, the results obtained by the particle swarm optimization algorithm reduce the total distribution cost by CNY 362 and improve customer satisfaction by 3.82%. Green technology is beneficial to reduce vehicle pollution emissions and the loss of fresh product resources, thus achieving sustainable development.

The Development Trend of China’s Agricultural Product Cold Chain Logistics from the Perspective of Big Data

With the gradual prosperity of social economy, people’s demand for agricultural products consumption has also gradually increased. Through the efficient introduction of big data technology, we can optimize and innovate the management system of agricultural cold chain logistics enterprises, realize the modernization of enterprise logistics management, and effectively improve the management efficiency of agricultural cold chain logistics enterprises. Using big data technology can improve the efficiency of information docking, improve the stickiness of enterprise customers, and speed up the value-added of cold chain logistics data. This study introduces the common clustering algorithms in the field of cold chain logistics, with emphasis on the spectral clustering algorithm. The spectral clustering algorithm not only reduces the error rate but also significantly reduces the time spent in the clustering process, which shows the effectiveness and feasibility of the application of spectral clustering algorithm in China’s agricultural cold chain logistics industry.

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.

Agricultural Cold Chain Logistics Mode Based on Multi-Mode Blockchain Data Model.

Aiming at the problem of massive data storage and transaction authority in the blockchain system in the data sharing transaction scenario, this paper proposes a blockchain system for the controllable sharing transaction of massive data. By designing the blockchain system model of the consortium chain and private chain, reconstructing the data structure of the block, and introducing the InterPlanetary File System (IPFS) technology, we adopt the off-chain storage method to solve the problem of high cost caused by too much data carried by the block. The isolation control of data resource transactions is realized by introducing identity authentication and channel mechanism, which meets the needs of different subjects for confidentiality of transaction data information. From the analysis results of cold chain logistics efficiency, in the five years from 2017 to 2021, the comprehensive cold chain logistics efficiency, pure technology cold chain logistics efficiency, and scale cold chain logistics efficiency of agricultural product cold chain logistics in a certain region have all reached above 0.9. The return to scale remains unchanged, and the cold chain logistics resources have been effectively allocated and reasonably utilized. The value of comprehensive cold chain logistics efficiency, pure technology cold chain logistics efficiency, and scale cold chain logistics efficiency in a certain month is less than 1, which means that the cold chain logistics efficiency is weak or ineffective. This shows that in these years, the infrastructure investment, cold chain technical support, and management level related to the cold chain logistics of agricultural products in a certain region need to be strengthened, and it is necessary to adjust the input-output structure and allocate resources reasonably. From 2018 to 2021, the total factor productivity of agricultural product cold chain logistics in a certain region is greater than 0.85, indicating that the level of total factor productivity is relatively high during this time period, and the increase in the efficiency of technical cold chain logistics is the main reason for the increase in total factor productivity.

Analysis of Influencing Factors of Cold Chain Logistics Cost of Dairy Products

Alongside the gradual improvement of the market position of dairy cold chain logistics, the cold chain transportation technology used in the logistics industry has also been taken to a whole-new level. There exists a fundamental contradiction between the rigorous requirements of dairy products for temperature control and the low level of development of cold chain logistics, and this contradiction is one of the reasons for the high costs of dairy cold chain logistics. To address this contradiction, we established an indicator system of factors influencing the costs of dairy cold chain logistics from three dimensions of dairy product characteristics, transportation process and cold chain logistics market, and invited managers from dairy companies and transportation professors from relevant universities to probe into the corresponding weights and to pin down the appropriate scores for indicators at all levels. Then we harnessed the AHP method to calculate the important weights for indicators at all levels, and eventually put forward the optimal solution for cutting the costs of cold chain logistics through weight difference analysis.