Research on the optimization of cold chain logistics distribution routes considering time-dependent networks and simultaneous pick-up and delivery from the perspective of sustainability

With the development and progress of society, people have increasingly strict requirements for cold chain logistics. At present, there are still many deficiencies in the development of China's cold chain logistics industry, such as inconsistent industry standards, a shortage of professional cold chain logistics talents, and incomplete investment and construction of infrastructure and equipment. Due to these problems, enterprises cannot meet customer needs well and can only seek solutions and gradually optimize. Enterprises should discover problems through practical investigations and research, and then solve specific problems based on theoretical knowledge and practical experience. This article first introduces the research status of cold chain logistics at home and abroad and relevant theoretical knowledge of cold chain logistics distribution as theoretical support. Then, taking Company X, a cold chain logistics enterprise engaged in fresh products, as an example, it analyzes the entire cold chain logistics industry, studies the current situation of the enterprise's cold chain logistics distribution, and proposes practical and feasible optimization suggestions, providing reference for the development of the cold chain logistics industry.

Cold chain transportation refers to a logistics method that transports fresh, perishable, and perishable items from the place of production, processing or warehouse to the place of consumption under certain temperature conditions. As consumers have higher and higher requirements for food safety and quality, the cold chain logistics industry has also developed rapidly. However, the high cost of cold chain logistics, the difficulty of technology, the difficulty of ensuring service quality and other problems have also arisen, and how to optimize cold chain transportation has become a hot issue in the cold chain logistics industry. Cold chain transportation optimization refers to the premise of ensuring the quality and safety of goods, through reasonable transportation paths, transportation methods, temperature control and other measures, to minimize the cost of cold chain transportation, improve efficiency and service quality. In order to achieve the optimization of cold chain transportation, it is necessary to establish a reliable cold chain logistics distribution center to ensure the safety and quality of goods during transportation. In order to solve the problem of location selection of cold chain logistics distribution center, this paper first defines the service reliability and calculation method of cold chain distribution center. Then, the location model of the cold chain logistics distribution center and the trust domain optimization algorithm model were established. The model aims to minimize the total cost, while considering multiple factors such as transportation distance, temperature control, facility construction, etc., to ensure the reliability and operational efficiency of the cold chain logistics distribution center. Finally, this paper introduces an example for calculation to prove the feasibility and universality of the model in the location problem of cold chain logistics distribution center. Through the calculation of examples, it can be seen that the model can effectively reduce the cost of cold chain transportation and improve the service quality and efficiency of cold chain logistics distribution center. In summary, this paper proposes a reliable location model and trust domain optimization algorithm model for cold chain logistics distribution centers to solve the challenges faced by the cold chain logistics industry. This model can provide guidance for cold chain logistics companies to gain a greater advantage in a highly competitive market.

In order to study the causes of weak development of dairy foods' cold chain logistics industry in china, we analyze the role that the improvement of living standards play in dairy foods' cold chain logistics to put forward higher requirements. This study discusses many serious problems in Chinese dairy foods' cold chain logistics industry, cold chain logistics system is incomplete, which cause a lot of damage to people's mental and physical. For these evergrowing problems, countries need to introduce policies and regulations, to support the development of cold chain logistics industry, increased investment, vigorously develop the integrated cold chain logistics development, so as to promote the Dumbbell integration development strategy of Dairy foods' cold chain logistics industry, to deal with the relationship between government and market and make the regional contribution to the realization of Chinese dream.

With the rapid development of food refrigeration and freezing technology, food cryogenic storage and vehicle transportation scheduling technology, the cold chain logistics industry has entered a period of rapid development. According to the problem of urban cold chain distribution route, based on the vehicle distribution model with time window, the minimum cost of transportation, cost of energy, cost of goods, penalty cost is the objective function, and the urban cold chain logistics distribution path is established. Optimized mathematical model. According to the actual case, the analysis of the cold chain distribution model is carried out by using the analytical genetic algorithm, and the optimal combination of the distribution paths with the lowest total cost is obtained, which has certain reference significance for the urban cold chain logistics distribution route problem.

With the development of the economy, the demands for food quality have gradually increased. Cold chain as a temperature-controlled supply chain has emerged to ensure the fresh goods. In recent years, the establishment and improvement of the cold chain logistics, as complex system engineering, is very important. While the cold chain logistics system has been vigorously developing, the common problems we face include: selection of suitable location for cold chain distribution center as well as optimization of distribution route. In this paper, we mainly focus on how to optimize the cold chain logistics distribution for a fresh processing factory M. We propose the methods to optimize the cold chain logistics distribution for M based on linear programming model. First, we adopt location set covering problem (LSCP) to model the location problem of cold chain logistics distribution center for Factory M, and use zero-one programming to solve the distribution center location. Then, we use transshipment problem, which is one of the transportation problem, to model and solve the distribution route for M. Experiments are conducted on IBM ILOG CPLEX Optimization platform, and the suitable plan of logistics distribution for Factory M is figured out at the end. The experiment result shows that the optimal solution using our optimization method can save about 15% of transportation cost compared to the result without any planning.

The rapid development of China's agricultural products e-commerce has led to an increasing demand for cold chain logistics as its offline activities. However, the development of cold chain logistics has not kept pace with the development of agricultural products e-commerce in recent years. This paper aims to study the linkage development of agricultural products e-commerce and cold chain logistics. Firstly, the current development status and future development trend indicators of agricultural products e-commerce and cold chain logistics distribution are selected. Agricultural products e-commerce includes 2 primary indicators: infrastructure and level of technological development, and market development potential, and cold chain logistics includes 3 primary indicators: quality of development, infrastructure and market development potential. Each primary indicators include 10 secondary indicators. Secondly, grey relational analysis (GRA) is used to study the development of agricultural products e-commerce and cold chain logistics distribution. The results found that from 2014 to 2018, the two subsystems showed a basic uncoordinated state; from 2019 to 2021, the two subsystems were in a basic coordinated state, but there was still a certain gap from coordination. Finally, the coupling mechanism between agricultural products e-commerce and cold chain logistics is constructed. The research in this paper gives certain suggestions for the development planning of cold chain logistics for agricultural products e-commerce. It improves the business efficiency and business value of cold chain logistics enterprises and enhances the consumption experience degree of agricultural products e-commerce customers.

This paper analyzes the development status of the industry of third-party cold chain logistics enterprises in Jilin Province, the status of third-party cold chain core enterprises and the relationship of cold chain from a macro perspective, and constructs a scientific evaluation index system to evaluate the third-party cold chain in Jilin Province. The performance of the company analyzes the differences between different enterprise performances, thus guiding the healthy development of third-party cold chain logistics in Jilin Province. At the same time, it constructs the index system of third-party cold chain logistics and financial risk system based on economics theory, analyzes the risk factors of third-party cold chain logistics, further applies scientific methods such as factor analysis to identify key influencing factors, and builds third-party cold chain logistics. Risk early warning indicator system, establish a third-party cold chain logistics risk prevention mechanism. Finally, using regional theory and urban economic basic theory to analyze the urban cold chain logistics distribution system involving third-party cold chain logistics, and the business characteristics, main distribution modes and existing problems of B2B cold chain logistics distribution business and B2C cold chain logistics distribution business [1]. To construct a common distribution demand for the two, the urban cold chain 2B/2C fusion co-distribution model is targeted. Based on the urban cold chain 2B/2C fusion co-distribution model, the pricing game process of third-party cold chain logistics enterprises and fresh e-commerce in the urban cold chain 2B/2C fusion co-distribution model is analyzed, and the B2B cold chain is considered comprehensively by using the game idea. The logistics carries the capacity limitation, establishes the secondary supply chain pricing game model of non-cooperative and cooperative game under different strategies, and builds a third-party cold chain logistics system in Jilin Province, which promotes the cold chain logistics industry in the region to promote the sales of local agricultural products and promote Local economic development.

With the level of science and technology, the logistics industry is paying more and more attention to sustainable development. However, the current cold chain logistics industry generally has problems such as backward refrigeration technology, irrational distribution management, and outdated equipment, which make its energy consumption serious and cause severe carbon emission effects on the environment. Optimizing the carbon emission structure of the cold chain logistics industry is the top priority for ensuring the sustainable development of the logistics industry. The circulation of fresh products is mainly through cold chain logistics. However, there are some problems of excessively high cost of the cold chain and easy disconnection during the cold transportation process in Chinese cold chain logistics, which severely restricts the development of Chinese cold chain logistics. Because of the perishability and strong timeliness of distribution of fresh products, inventory costs, penalties, and damage costs need to be considered. Because fresh products should utilize refrigerated transportation, it is also necessary to consider refrigerated costs during transportation and cold storage cost in distribution centers. Based on the goal of the lowest total cost, this paper constructs an integer programming model and analyzes cases. By comparing the simulation results of the genetic algorithm and the hybrid algorithm, it is concluded that the hybrid algorithm is more effective.

The definition of the cold chain logistics and the problem of the agricultural cold chain logistics are introduced. According to the characteristics of cold chain logistics, exploring the cold chain logistics distribution path optimization method. Based on the model of the agricultural products cold chain logistics distribution routing optimization, particle swarm optimization algorithm is constructed to solve the optimization problem. Taking an example, the results have been conducted finally to demonstrate the effectiveness of the algorithm for agricultural products cold chain logistics distribution routing optimization problem.

With the advancement of China's urbanization process, the competition in the field of cold chain logistics is becoming more and more fierce. People's attention to food safety is increasing, and the cold chain logistics industry in Shandong Province has been developed. Cold-chain logistics industry, however, has some problems, such as imperfect infrastructure, technology and talent shortage, etc., therefore, cold chain logistics industry in Shandong province should take a series of countermeasures, such as strengthening the construction of infrastructure, promoting technological innovation, cultivating talents, etc., is expected to further promote the development of cold chain logistics, improve service quality and transportation efficiency. This will help promote the development of agricultural products, fresh food and other industries in Shandong province, and promote economic growth and the increase of employment opportunities.

PurposeBuilding a robust cold chain logistics system boosts the company’s profits in various ways. Any cold chain logistics company needs well-organised and efficient management of cold chain logistics to produce high-quality products, ensure that the product reaches the customer without any changes to the quality, and do so promptly. This paper aims to identify factors influencing cold chain logistics performance design. These factors are further helpful in analysing the behaviour intentions of stakeholders on increasing the cold chain logistic performance.Design/methodology/approachThe authors conducted a thorough literature review to identify the variables that affect the performance of the cold chain logistics design. The factors were identified using exploratory factor analysis and empirically analysed using confirmatory factor analysis. The study also used structural equation modelling (SEM) to examine cold chain logistics performance determinants. Data was collected from 380 respondents working in the cold chain.FindingsThis study selected the factors influencing CCL performance, including five main factors and 22 sub-factors. Distribution, warehouse inventory storage, quality, demand, and technology affect the CCL’s performance. The results confirmed the theoretical model and proved that the factors significantly positively impact CCL performance.Research limitations/implicationsFuture studies should focus on actual case studies to confirm the usefulness of the parameters found, examine how they affect performance growth, provide important insights into how to improve overall business performance and assist in identifying crucial research hotspots.Practical implicationsThe study provides insight into issues regarding performance development in cold chain logistics for various stakeholders associated with the cold chain logistics industry, including practical managers, academics, and consultants. It also argues in favour of giving problems with CCL performance a higher priority. Policymakers interested in the service sector, like the Indian Department of Commerce and MSMEs, make up a modest additional audience for this work.Social implicationsIndian meat industry can be organised by implementing this methodology. This work benefits the government to get more transparent transaction and data digitalisation, which comes into account of GST.Originality/valueThere is a lack of significant quantitative literature suggesting modification strategies for factors affecting processed meat and chicken products in storage and transportation levels in India. Thus, this work tried to fill this gap and add the food chain logistics literature that helps practitioners and scholars enhance the food supply chain in developing countries.The framework developed for this study is where its originality lies. A detailed examination of cold chain logistics is included in the paper.

In real life, how to quickly and accurately plan the optimal path for cold chain logistics distribution in the complex traffic environment is one of the key issues in the cold chain logistics distribution vehicle operation system. Based on the classic ant colony algorithm, combined with the particularity of cold chain logistics distribution, considering the factors such as transportation cost, maximum vehicle load, distribution distance and traffic capacity of each road section, an optimal model of cold chain logistics distribution path planning based on the improved ant colony algorithm is established. On the basis of the classical ant colony algorithm, a cold chain logistics distribution path planning optimization model based on the improved ant colony algorithm is established. The model takes into account the special characteristics of cold chain logistics distribution in terms of transportation cost, maximum vehicle weight, distribution distance and access road capacity. In this paper, numerical simulation is performed with the help of MATLAB software to test the scientificity and rationality of the algorithm. The conclusion shows that the improved ant colony algorithm can get the distribution path suitable for the attributes of cold chain logistics and reduce the total transportation costs. The problem of selecting the optimal path of cold chain logistics distribution vehicles can be reasonably solved. This is conducive to improving the distribution efficiency of cold chain logistics and has strong practicality.

To find the way to avoid chain scission in the cold chain logistics chain of fresh agricultural products, the paper provides the guidance for the Stakeholder of logistics fresh agricultural products. It uses the methods of literature research and field survey, takes cold chain logistics chain as the breakthrough point, through the three aspects of practical research of the cold chain logistics nodes, cold chain logistics value chain stakeholders and cold chain logistics operators, to find out the essence of the cold chain logistics chain of fresh agricultural products in China, which only cannot protect the food safety of the fresh agricultural products, but also provides policy support for the fresh agricultural products production enterprises, processing enterprises, cold chain logistics enterprises and local government, to promote the healthy development of China's cold chain logistics industry in a certain extent. Keywordsfresh agricultural products; cold-chain logistics; chain scission; seamless interface of logistics; chain scission elusion

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.

Cold chain logistics industry is the product of social and economic development, cross-regional transportation demand, is to maintain the low temperature environment as the core requirements, to maintain product quality, reduce product loss for the purpose of the system engineering. Cold chain logistics has high requirements for timeliness, safety, reliability and technical stability. However, China's cold chain logistics started late. In the early stage of development, many enterprises do not have the concept of "cold chain logistics", cold chain facilities and equipment are generally missing and backward, and the development of cold chain logistics is in the stage of resource shortage. This article focuses on the research object of Anhui Dazhong Cold chain Logistics Company, focuses on the company's emergency measures capability, and finds that the emergency logistics capacity of Anhui Dazhong cold chain logistics needs to be upgraded. In recent years, major public health events have occurred frequently, and Volkswagen lacks systematic evaluation in the implementation of emergency measures. According to the above problems, based on the public emergency logistics process management build public company cold chain emergency logistics ability evaluation index system, the hierarchical analysis and entropy method integrated empowerment of evaluation index, and use multi-level fuzzy comprehensive evaluation method for comprehensive evaluation, finally get the public emergency logistics level.