scholarly journals Research on the Architecture of Cold Chain Logistics Multimedia Monitoring and Tracking Service Platform Based on Fuzzy Sorting and Heuristic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qi Zhang

With the continuous development of social economy, the logistics system has been continuously improved. In addition to traditional domestic postal transportation and car consignment, emerging logistics methods such as SF Express and Yunda have also emerged. Aiming at the features such as fragility of fruits and vegetables and high storage requirements, in this paper, a cold chain logistics multimedia monitoring and tracking service platform is built in an attempt to monitor the preservation environment and safety status of agricultural products relying on fuzzy sorting and heuristic algorithms, trace agricultural products with labels, and design the direction of the key data. The practice results show that the system is effective.

2018 ◽  
Vol 16 (3) ◽  
pp. 64-77 ◽  
Author(s):  
Wu Yanyan

With the development of e-commerce, online shopping for agricultural products has been more popular. And how to improve consumer's satisfaction has become more important. Literature review shows that few researches on online purchasing agricultural food focus on the consumers' satisfaction. This article designs a questionnaire, including 20 factors based on agricultural product characteristics, website quality and service quality to evaluate consumers' satisfaction. The evaluation shows that service quality, agricultural products' safety, brand and website quality significantly impact consumer satisfaction. Moreover, service quality is the most important factor. Finally, some recommendations are made in this article to develop cold chain logistics system, strictly control the agricultural products quality, build an agricultural products brand, improve the quality of agricultural product websites and strengthen policy control and guidance.


2020 ◽  
Vol 5 (4) ◽  
pp. 304
Author(s):  
Yupei Zhang

<p>During the continuous development of e-commerce, we analyze the fresh food e-commerce market and the reported data in recent years, and explore the selection of fresh agricultural products in the cold chain, transportation and distribution, storage and sales. Meanwhile, countermeasures have been made to solve the problem of cold chain disconnection of fresh agricultural products through supply services, infrastructure construction and information management. Ensuring the continuous chain of the cold chain process needs to rely on the collaboration of consumers, businesses, cold chain logistics and other parties, and the cold chain logistics of fresh agricultural products e-commerce requires more in-depth research to maintain no “broken chain”.</p>


Author(s):  
Siyuan Wen ◽  
Jiankun Li ◽  
Rui Wang ◽  
Hao Liu

Cold chain logistics of Agricultural Products demand forecasting can provide the scientific basis for the country to formulate logistics strategy, which further promotes the development of social economy and the improvement of living standards in China. In this paper, a new mathematical combined model is proposed to Agricultural Products Demand. Shandong, one of a China’s province, serves as the main producer and distributor of agricultural products. Based on the index system created from multiple related factors influencing cold chain logistics demand of agricultural products in Shandong, this paper employs principal component analysis to reduce the dimension of various indexes and predicts principal components with time series. Thereafter, multiple linear regression model and neural network model were constructed to forecast the cold chain logistics demand of agricultural products in Shandong, and their combined forecast models were compared. What's more, the paper provides insight for reference and decision-making concerning the development of cold chain logistics industry of agricultural products in Shandong province.


2018 ◽  
Vol 29 (3) ◽  
pp. 887-901 ◽  
Author(s):  
Mu-Chen Chen ◽  
Chung-Cheng Lu ◽  
Yi-Ching Liu

Purpose The purpose of this paper is to deal with an optimal consolidation problem for fresh agricultural products (e.g. fruits and vegetables) in a multi-temperature joint distribution (MTJD) system that is developed to resolve the challenge of timely delivery of small and diverse shipments in food cold chains. Design/methodology/approach An integer programming optimization model is developed to consolidate a set of agricultural shipments with different storage requirements into a number of distinct containers according to the classification criteria. The formulated model for consolidating fresh agricultural products is evaluated using numerical examples. Findings Critical factors that affect the quality or shelf life of fresh agricultural products are examined to form the criteria for classifying the storage requirements of these products. The formulated model can minimize the consolidation cost and the loss of product value due to a reduction in shelf life after consolidation. Research limitations/implications Although the decision model for product consolidation developed in this paper takes into account practical concerns as much as possible, some additional conditions in the cold chain of fresh fruits and vegetables can be included to further enhance the application of the proposed consolidation model. Practical implications Provided that the container environment is appropriately controlled, the shelf life of fresh fruits and vegetables can be maintained during the logistics process. As a result, product quality can be managed to reduce product loss. Originality/value This paper adopts temperature, relative humidity and ethylene production, which generally affect the quality and shelf life of fresh agricultural products, as the main factors for determining the product consolidation. It is among the first to deal with the optimal consolidation of fresh agricultural products in the MTJD system with the consideration of product shelf life.


Author(s):  
Sudhansu Shekhar Patra ◽  
Sudarson Jena ◽  
G.B. Mund ◽  
Mahendra Kumar Gourisaria ◽  
Jugal Kishor Gupta

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