Cold Chain Logistics Industry Research Articles

The effects of sustainability innovation and supply chain resilience on sustainability performance: Evidence from China’s cold chain logistics industry

The effects of sustainability innovation and supply chain resilience on sustainability performance: Evidence from China’s cold chain logistics industry

Fresh electricity business cold chain logistics development and countermeasures research

Under the background of new retail, fresh electricity business as a rising star of electricity business is developing rapidly, how to improve the service quality of fresh cold chain logistics, transportation efficiency, and further improve the market competitiveness of fresh cold chain logistics industry has gradually become the focus of attention. This paper expounds the necessity of the development of fresh electricity logistics, analyzes the main problems in the development of fresh cold chain logistics, the current fresh electricity cold chain logistics development strategy, how to promote the green and healthy development of fresh electricity cold chain logistics to provide countermeasures.

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.

A multi-objective optimization model for the location of cold chain logistics distribution center based on trust domain optimization algorithm

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.

Application Of Sparrow Search Algorithm in Cold Chain Low Carbonization Logistics

Driven by consumer upgrades and national policies, the cold chain logistics industry has experienced rapid development, accompanied by increased expenditure of energy and carbon emissions. To achieve energy savings, emission reductions, and overall cost reduction in the cold chain logistics industry, this article establishes an optimization model for optimizing transportation routes, taking into account carbon emission costs, refrigeration costs, and time penalty costs. The objective is to comprehensively consider reducing refrigeration costs and time penalty costs throughout the entire phase of cold chain logistics, aiming to minimize the total cost for logistics companies during actual delivery processes. The improved Sparrow Search Algorithm (SSA) is employed to solve the optimization problem. The results of the case study analysis validate the applicability and superiority of the improved SSA for route optimization problems, as it demonstrates fast convergence speed and strong search capabilities.

Research and Application Progress of Insulation Materials in Cold Chain Logistics

In cold chain logistics equipment, the role of insulation materials is very important. With the continuous development of cold chain logistics, the requirements for insulation materials are getting higher and higher, and future insulation materials need to be more energy-saving and environmentally friendly. This paper introduces the development of cold chain logistics and the insulation materials commonly used in cold chain logistics, which include extruded polystyrene foam (XPS), polyurethane foam (PU), vacuum insulation panels (VIP), and aerogel materials. The performance of these insulation materials and their applications in cold chain logistics are also summarized. In addition, the future development direction of thermal insulation materials is envisioned to promote the sustainable development of the cold chain logistics industry.

Performance of cold chain logistics service providers in the fast-moving consumer goods industry in Nigeria: a systematic review

The operations of the fast-moving consumer goods (FMCGs) businesses in Nigeria rely on the efficiency and efficacy of cold chain service providers for quality storage and optimal safety of perishable goods. However, the sector faces obstacles such as inadequate technology, unskilled labour, insufficient funds, weak regulation, and a poor regulatory policy framework, all of which impede the business’s growth and performance. The goal of this study is to systematically review the issues that restrict cold chain logistics service providers’ performance in Nigeria’s highly perishable food business. This study employs PRISMA procedure and the systematic literature review technique to extract articles and emphasize the importance of employing cold chain services to increase efficiency, quality service delivery, and consumer fulfilment. The study’s findings demonstrate that achieving quality service delivery, service effectiveness, cost savings, and customer satisfaction is hampered by a lack of proper synergy between cold chain logistics service providers and cold chain major stakeholders such as regulators, as well as an absence of skilled personnel, policy, funding, infrastructure, and technologies for monitoring and tracking product movement and condition. By remedying these difficulties, Nigeria’s FMCGS sectors could potentially improve their performance and contribute to the development of a robust, sustainable cold chain logistics industry. As a result, the quality and safety of FMCG goods would be enhanced, driving the expansion of the FMCG sector in Nigeria. Future research findings should focus on the cold chain logistics performance leverages on economic growth and development in Africa.

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.

Comprehensive Ability Evaluation of Cold Chain Emergency Logistics of Anhui Dazhong Company

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.

Cold Chain Logistics Management and Operations: Problems and Suggestions in the Post-Epidemic Era

The outbreak of the COVID-19 epidemic has brought unprecedented challenges to global food supply chains, and cold chain logistics, which involves the transportation and storage of temperature-sensitive foods, has become a key area of concern. The ongoing incidence of infections from abroad that are imported due to the cold chain, which has negatively damaged the cold chain logistics sector. In China, monitoring and maintaining cold chain logistics still presents a few challenges despite the industry's fast expansion. Therefore, it is essential to conduct a comprehensive analysis of the problems and challenges faced by the cold chain logistics industry in China and to develop effective strategies and measures to enhance the management and control of the cold chain logistics industry. The purpose of this study is to offer insightful analysis and suggestions for enhancing the security and effectiveness of China's cold chain logistics sector in the post-epidemic age.

Development Status and Countermeasures of Cold Chain Logistics in China

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.

Modeling New Cold Chain Logistics Processes in the Post-Epidemic Period Based on Petri Net

Over the past few years, there has been a steady increase in demand for frozen and refrigerated products among Chinese residents. The growth of the cold chain logistics industry has played an important role in advancing China's economy. However, due to the impact of COVID-19, there is now concern over the safety of such products, which has led to a potential setback in economic recovery. This article attempts to describe the difference between the new cold chain logistics and the traditional cold chain logistics in the post-epidemic period from the structural changes in the cold chain logistics and to explore the structure of the process. To fill the gap in modeling study on new cold chain logistics, this article uses Petri net to model the new cold chain logistics in the post-epidemic period and then analyzes the model using TINA software. This study aims to provide an optimization solution for the new cold chain logistics process and to serve as a basis for future related research. However, there is a gap between the results obtained through simulation and the real situation. If researchers want to further improve the model and solve the problem, they still have to cooperate with related companies to understand the actual situation.

Research on the Influence Mechanism of China's Cold Chain Logistics Subsidy Policy

China's cold chain logistics subsidy policies includes multiple related subjects in its introduction and implementation. First of all, the government is the implementer and maker of the subsidy policy; cold chain logistics equipment production and R&D enterprises, cold chain logistics infrastructure construction enterprises and cold chain logistics carriers are the main beneficiaries of the cold chain logistics subsidy policy. On the issue of policies promoting the development of the cold chain logistics industry, there is a certain game relationship between the government and the three parties. Therefore, this paper uses the Stackelberg game to establish three government-enterprise two-party game models to study the impact mechanism of cold chain logistics subsidy policies.

Digital transformation for cold chain management in freight forwarding industry

During the pandemic, the attention and demand for cold chain increased owing to considerable use of low-temperature logistics in transporting perishable goods and vaccines. To ensure the shipping performance for reduced damage, logistics companies are required to track continually and repetitively the status of shipments daily. However, typing various air waybills for searching the shipping status is a cause of frequent errors. Also, tracking the shipping status is labor-intensive, resource intensive, inefficient and repetitive. Moreover, repetitive tasks result in low employee satisfaction. Therefore, robotic process automation (RPA) applications have gained the attention of practitioners in the cold chain logistics industry. This study contributes to (i) determining possible areas requiring automation through the workflow study on cold chain logistics and (ii) streamlining the operation by the develop a robotic process automation bots. A case study tested and evaluated the performance of two unattended RPA bots applied in a freight forwarder company to check shipment status and temperature conditions. The results determined that implementing RPA in the workflow reduces significant data processing time. With the implementation of proposed RPA bots, the company can better comprehend its shipping performance of logistics and can get an immediate notification from RPA bots when an abnormal situation occurs with regard to a shipment.

Stackelberg Game-Based Resource Allocation with Blockchain for Cold-Chain Logistics System

Cold-chain logistics system (CCLS) plays the role of collecting and managing the logistics data of frozen food. However, there always exist problems of information loss, data tampering, and privacy leakage in traditional centralized systems, which influence frozen food security and people’s health. The centralized management form impedes the development of the cold-chain logistics industry and weakens logistics data availability. This paper first introduces a distributed CCLS based on blockchain technology to solve the centralized management problem. This system aggregates the production base, storage, transport, detection, processing, and consumer to form a cold-chain logistics union. The blockchain ledger guarantees that the logistics data cannot be tampered with and establishes a traceability mechanism for food safety incidents. Meanwhile, to improve the value of logistics data, a Stackelberg game-based resource allocation model has been proposed between the logistics data resource provider and the consumer. The competition between resource price and volume balances the resource supplement and consumption. This model can help to achieve an optimal resource price when the Stackelberg game obtains Nash equilibrium. The two participants also can maximize their revenues with the optimal resource price and volume by utilizing the backward induction method. Then, the performance evaluations of transaction throughput and latency show that the proposed distributed CCLS is more secure and stable. The simulations about the variation trend of data price and amount, optimal benefits, and total benefits comparison of different forms show that the resource allocation model is more efficient and practical. Moreover, the blockchain-based CCLS and Stackelberg game-based resource allocation model also can promote the value of logistic data and improve social benefits.

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.

IoT Network for International Trade Cold Chain Logistics Tracking Based on Kalman Algorithm.

The application of Internet of Things technology in cold chain transportation can greatly strengthen the monitoring of all aspects of cold chain logistics, so as to promote the progress of cold chain logistics industry. In order to study this aspect, this paper chooses the key link of the Internet of Things as a breakthrough. By analyzing various aspects of the transportation process, an Internet of Things middleware framework serving cold chain transportation tracking is designed. The main products of logistics cold chain transportation are fresh agricultural products, so in order to further make the research fit the actual situation, this paper collects the logistics data and information of agricultural products through investigation and combines the core technology of agricultural products logistics with the Internet and the key technology of cold chain transportation to process the obtained information. The analytic hierarchy process and fuzzy comprehensive evaluation method are used in this process. The processing results prove the validity and rationality of the established index system. The purpose of developing the international trade management system is to enable the company to optimize its international trade management process, reduce some tedious and inconvenient manual operations, make the recording and statistics of international trade information very simple, improve work efficiency, and satisfy the information needs of various departments to enable enterprises to minimize costs, thereby enabling enterprises to obtain better economic benefits.

A Hesitant Fuzzy Method for Evaluating Risky Cold Chain Suppliers Based on an Improved TODIM

Enterprises need sustainable development in order to reduce costs and increase income. The cold chain logistics industry needs to promote sustainable supply chains more. As the beginning of the supply chain, the choice of suppliers is particularly important. Considering the risky attitude of decision-makers, an improved hesitant fuzzy TODIM approach is adopted to select suppliers. In order to calculate a more objective indicator weight, the generalized Shapley function of the hesitant fuzzy measure is adopted by analyzing the relationships among indicators. The uncertain supplier evaluation information given by decision-makers is obtained by using hesitant fuzzy information. The improved Interactive and Multi-criteria Decision-Making (TODIM) method based on hesitant fuzzy numbers is used to analyze the psychological behavior of decision-makers under different market prospects and comprehensively rank the candidate suppliers. Finally, a case study of selecting cold chain logistics suppliers is provided to verify the effectiveness and feasibility of the method in this paper.

A literature study on the disruption risk in cold chain logistics of fresh food e-commerce enterprises with pre-warehouse

China's fresh food e-commerce market developed rapidly in 2020, with the scale of the fresh food e-commerce industry reaching 458.49 billion yuan, an increase of 64.0% from 2019. In this context, the fresh food e-commerce front-end warehouse operation model has attracted much attention in China's social capital market due to its high profitability, high repurchase rate and high consumer loyalty, and commercial giants have entered the investment, which has promoted the rapid development of the front-end warehouse model fresh food e-commerce. However, there are still many factors that hinder the healthy development of the cold chain logistics industry, mainly in the uneven professional quality of practitioners, imperfect cold storage, refrigerated vehicles and other cold chain infrastructure equipment, high fresh loss rate in distribution and transportation, and the difficulty of realizing the whole cold chain. Therefore, it is necessary to study the literature related to the disruption risk in the cold chain logistics of fresh e-commerce front-end warehouses, which will have a positive impact on promoting the healthy and long-term development of the fresh e-commerce industry and the cold chain logistics industry.