Agricultural Cold Chain Logistics Research Articles

Discussion and Analysis of Agricultural Cold Chain Logistics Issues

With the advancement of socialist marketisation, the demand for cold chain logistics for agricultural products is expanding. This not only accelerates the development of cold chain logistics system, but also brings a lot of convenience to the residents' life. This paper takes the current situation of supply and demand of cold chain logistics of agricultural products in China as the starting point, analyses the current problems in the development of cold chain logistics of agricultural products, and puts forward corresponding countermeasures in this regard, with a view to improving the efficiency of cold chain logistics transport in China to meet the daily needs of the people.

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.

Service quality measurement of agricultural cold chain logistics supply chain based on grey clustering

Service quality measurement of agricultural cold chain logistics supply chain based on grey clustering

Service quality measurement of agricultural cold chain logistics supply chain based on grey clustering

Service quality measurement of agricultural cold chain logistics supply chain based on grey clustering

Service quality evaluation of agricultural cold chain logistics supply chain based on k-means clustering algorithm

Service quality evaluation of agricultural cold chain logistics supply chain based on k-means clustering algorithm

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.

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.

Demand forecast and influential factors of cold chain logistics based on a grey model.

Due to high requirements of storage, operation and delivery conditions, it is more difficult for cold chain logistics to meet the demand with supply in the course of disruption. And, accurate demand forecasting promotes supply efficiency for cold chain logistics in a changeable environment. This paper aims to find the main influential factors of cold chain demand and presents a prediction to support the resilience operation of cold chain logistics. After analyzing the internal relevance between potential factors and regional agricultural cold chain logistics demand, the grey model GM (1, N) with fractional order accumulation is established to forecast future agricultural cold chain logistics demand in Beijing, Tianjin, and Hebei. The following outcomes have been obtained. (1) The proportion of tertiary industry, per capita disposable income indices for urban households and general price index for farm products are the first three factors influencing the cold chain logistics demand for agricultural products in both Beijing and Tianjin. The GDP, fixed asset investment in transportation and storage, and the proportion of tertiary industry are three major influential factors in Hebei. (2) Agricultural cold chain demand in Beijing and Hebei will grow sustainably in 2021-2025, while the trend in Tianjin remains stable. In conclusion, regional developmental differences should be considered when planning policies for the Beijing-Tianjin-Hebei cold chain logistics system.

Optimization of VRR for Cold Chain with Minimum Loss Based on Actual Traffic Conditions

Recently, fresh agricultural cold-chain logistics have been greatly developed with the increasing needs of people’s life. Reducing costs of cold-chain distribution has become the main object of loss control in logistics enterprises. The objective of this research is to find a set of optimal routes that minimize the total loss, including fuel cost, refrigeration cost, soft time window penalty cost, and cargo damage cost over transit time. In this paper, the definition and model construction of vehicle routing problem (VRP) with multiobjective minimum lost are introduced first. Then, an ant colony optimization (ACO) algorithm combined with Pareto local search (PLS) is put forward to solve the minimum loss model. In order to avoid the influence of complex road conditions during distribution, the distance matrix and the transit time matrix are both derived from the recommended navigation road based on E-map API. At last, a compare experiment between the traditional method and our proposed method is performed. The results indicate that our method has strong applicability and potential advantages in cold-chain logistic and has important practical significance and application value.

Demand Forecasting of Agricultural Cold Chain Logistics Based on Metabolic GM (1,1) Model

The cold chain logistics is an important part of the whole logistics industry, with the rapid development of China’s economy, people’s living standards rising, consumer demand transformation, people’s demand for cold chain logistics is becoming more and more big, however, in the cold chain logistics industry, gradually increased demand for agricultural products in the public, this article selects 2014-2019 China’s cold chain logistics of agricultural products Based on the metabolic GM(1.1) model, the demand of cold chain logistics of agricultural products in China in the next five years is predicted. The predicted experimental results can provide data reference for relevant departments, in order to provide theoretical support for promoting the balance between supply and demand of cold chain of agricultural products.

Research on Agricultural Product Cold Chain Logistics Management Based on Supply Chain Network Structure

he thesis first analyzes the supply chain network structure for the establishment of a new agricultural product supply chain system. This article is to construct a new agricultural product supply chain construction plan, establishes an innovative idea, the business process is urban fresh agricultural product e-commerce, and builds an urban standard distribution model A data-based cold chain integrated distribution model is proposed. This research is mainly to realize the joint operation and management of cold chain logistics and fresh products, and it is necessary to strengthen the coordination of demand-oriented agricultural industry organizations, the coordination of technological innovation of circulation enterprises, and the coordination of the implementation of innovative supply. As a result, the safety mechanism construction of the new agricultural product supply chain, including dynamic monitoring, detection modules and emergency handling systems, has guiding significance for the efficiency of agricultural cold chain logistics circulation.

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.

Robust optimization approach to two-echelon agricultural cold chain logistics considering carbon emission and stochastic demand

Cold chain logistics has become one of the main sources of carbon emissions. Meanwhile, the implementation of low-carbon economy has become an inevitable way to promote sustainable development. However, previous studies on the cold chain inventory routing problem (IRP) paid less attention to the cost of carbon emissions. In this paper, a linear programming (LP) model is established, which takes the costs of vehicle transportation, time window and carbon emission into consideration. Although the simple LP model is easy to be solved, it cannot handle the problems with uncertainty. Therefore, in order to overcome the influence of uncertainty, the proposed LP model is developed into three low-carbon robust optimization (RO) models. In addition, this paper takes a cold chain logistics enterprise in Yangtze River Delta as an example for empirical analysis. The results of the case study prove that the RO models can quickly solve the problems with uncertainty and still maintain robustness, while the LP model has failed. Specifically, the R-ellipsoid model produces the best result among the three RO models. It is suggested that when the carbon emission tax increases, the decision makers tend to choose a better path planning scheme, which will not only reduce the total cost, but also obtain environmental benefits. Finally, the findings of this paper generate some implications for the low-carbon transformation of cold chain logistics enterprises.

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.

A Study on the Influential Factors for the Development of Agricultural Cold Chain Logistics in China using AHP and IPA Methods - Focused on Hwadong Region -

A Study on the Influential Factors for the Development of Agricultural Cold Chain Logistics in China using AHP and IPA Methods - Focused on Hwadong Region -

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.

Reliability Analysis and Optimization of Cold Chain Distribution System for Fresh Agricultural Products

In recent years, with the Chinese government’s emphasis on the development of the cold chain logistics market for fresh agricultural products, the rapid development of agricultural cold chain logistics has been promoted in many aspects. However, in the circulation of fresh agricultural products, there is still a serious problem of “broken chain” leading to a high corrosion rate. Therefore, this research has analyzed the uncertain factors affecting the cold chain distribution system based on fault tree model, and then transform it into Bayesian network to evaluate the reliability of the cold chain distribution system for fresh agricultural product, and identify the key factors affecting the reliability of the cold chain distribution system through calculated probability importance of each node. Then we have constructed nonlinear equations with the limit of the cost, based on reliability allocation method to improve the system reliability. Numerical examples are given to validate the proposed models. The optimization result shows that higher reliability value assigned to the factors with high probability importance is more conducive to the improvement of system reliability.

Cold Chain Logistics Development and Analysis of Necessity

Agricultural and fishery products are during transport often require low temperature conditions of transport, in order to meet the basic performance of the product. Enterprises must change the product logistics and transport conditions for cold chain that can be applied to the field of logistics and ensure its quality. In this paper, logistics and transportation in Ningbo, for example, found that the highest close level Ningbo Economic development and agriculture; it is necessary to strengthen the control of agricultural cold chain logistics during transport, logistics and transport to ensure the quality of agricultural products, so that consumers get satisfaction products, and improve the reputation and service levels. From the enterprises themselves, we must introduce advanced technology and equipment, the introduction of outstanding intellectuals, strengthen the company’s management and monitoring level, and improve the cold chain logistics and transport capacity, to provide support and protection for the economic development of enterprises.

The Cold Chain Logistics for Perishable Agricultural Products in China

This study introduces concepts of the agricultural product cold chain logistics and domestic and international researches. Also, the study discusses issues of Chinese agricultural cold chain logistics in the development process as the following aspects: the dividing of cold chain logistics market, refrigeration hardware facilities, third-party cold chain logistics development, the level of cold chain technologies, cold chain logistics professionals and the legal system and the standard system. Next, this study focuses on the countermeasures to solve problems of the agricultural cold chain logistics development by some ways as followings: increasing investments in technology, accelerating the improvement of the cold chain logistics facilities, strengthening the cultivation of third-party cold chain logistics enterprise, encouraging the training of personnel, promoting the cold chain logistics informatization and improving relevant laws, regulations and standards. Combining with the cold chain logistics of Mengniu Dairy, this study analyzes and proposes countermeasures. Finally, this study summarizes the developments in Chinese agricultural chain logistics, which needs to be strengthened in many aspects for suiting Chinese situation.

Research on Fresh Agricultural Products Cold Chain Logistics Certification System

Agricultural cold chain logistics provides an important safeguard for the production of the agricultural products and the safety of Circulation quality. The fresh agricultural products cold chain logistics certification plays a role in agriculture quality mainly from these areas: Improving the safety traceable of agricultural products, enhancing the supervision efficiency of agricultural products, enhancing the discipline of agricultural supply chain and strengthening consumers’ awareness. This paper analyzes the connotation and main features of agricultural cold chain logistics certification system and dissects authentication mechanism of agricultural products cold chain for the agricultural product safety certification, and proposes the development ideas of agricultural cold chain logistics certification.