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 distributi...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1324; no. 1; pp. 12020 - 12027
Main Authors Zhang, Ying, Ge, Xueyang
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.10.2019
Subjects
Cold storage
Cost analysis
Customer satisfaction
Genetic algorithms
Logistics
Market economies
Mathematical models
Optimization
Physics
Risk analysis
Risk assessment
Supply chains
Windows (intervals)
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Summary: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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1324/1/012020