An optimization model of cross-docking scheduling of cold chain logistics based on fuzzy time window

التفاصيل البيبلوغرافية
العنوان: An optimization model of cross-docking scheduling of cold chain logistics based on fuzzy time window
المؤلفون: Jie Lian
المصدر: Journal of Intelligent & Fuzzy Systems. 41:1901-1915
بيانات النشر: IOS Press, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Statistics and Probability, Mathematical optimization, Computer science, 05 social sciences, General Engineering, Scheduling (production processes), ComputerApplications_COMPUTERSINOTHERSYSTEMS, 02 engineering and technology, Fuzzy logic, Artificial Intelligence, Time windows, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Cross-docking, 020201 artificial intelligence & image processing, Cold chain, 050203 business & management
الوصف: In order to improve the distribution efficiency of cold chain logistics and reduce the distribution cost, an optimization model of cross-docking scheduling of cold chain logistics based on fuzzy time window is constructed. According to the complexity of cold chain logistics network, a multi-objective optimization model of cross-docking scheduling of cold chain logistics vehicle routing with fuzzy time window is established. In order to ensure the lowest total cost of cold chain logistics distribution and improve the overall customer satisfaction with service time, the Drosophila optimization algorithm is used to solve the model to obtain the optimal vehicle routing of cross-docking scheduling optimization of cold chain logistics. The simulation test results show that: after the application of the model, the cold chain logistics distribution time is significantly shortened, the distribution cost is significantly reduced, the damage cost is reduced, the carbon emission of vehicles is reduced, and the economic and low-carbon benefits are significantly improved, which can be used as an effective tool to solve the cross-docking scheduling optimization problem of cold chain logistics.
تدمد: 1875-8967
1064-1246
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::65e66c1c415a909bcf19c30adb716c96Test
https://doi.org/10.3233/jifs-210611Test
رقم الانضمام: edsair.doi...........65e66c1c415a909bcf19c30adb716c96
قاعدة البيانات: OpenAIRE