المؤلفون: Jie Lian

المصدر: Journal of Intelligent & Fuzzy Systems. 41:1901-1915

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.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::65e66c1c415a909bcf19c30adb716c96Test
https://doi.org/10.3233/jifs-210611Test

المؤلفون: Man, Huang¹ (AUTHOR), Jie, Lian¹ (AUTHOR) huangman598648@163.com

المصدر: Journal of Intelligent & Fuzzy Systems. 2021, Vol. 40 Issue 4, p6913-6924. 12p.

مصطلحات موضوعية: *MACHINERY industry, *OPERATIONS research, *SELF-service (Economics), *LOGISTICS, *STATISTICS, MACHINE learning, DATA envelopment analysis

مستخلص: The research on operational efficiency focuses on the macro-level research. However, there are relatively few studies on the industry level. In particular, there are fewer studies on the logistics industry, which has a leading and fundamental significance in the national economic system and is regarded as the third important source of profit. Moreover, scholars are more focused on the research on the operational performance and profitability of logistics enterprises. In order to study the efficiency of the logistics industry, this paper uses machine learning technology as the foundation and self-service data envelopment analysis to construct a comprehensive efficiency analysis model for the logistics industry. Moreover, this paper adopts a combination of qualitative and quantitative analysis to conduct empirical research on the operational efficiency and influencing factors of the logistics industry to explore the factors that affect the operational efficiency of logistics enterprises. In addition, this article optimizes the model data through statistics, and compares the model analysis data with the actual situation. It can be seen from the research results that the model constructed in this paper has a certain effect. [ABSTRACT FROM AUTHOR]

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المؤلفون: Jie Lian, Lin Chang

المصدر: International Journal of Applied Electromagnetics and Mechanics. 42:137-145

مصطلحات موضوعية: Anisotropic substrate, Kerr effect, Materials science, Uniaxial crystal, Condensed matter physics, Computer simulation, business.industry, Mechanical Engineering, Physics::Optics, Substrate (electronics), Condensed Matter Physics, Rotation, Electronic, Optical and Magnetic Materials, Condensed Matter::Materials Science, Optics, Magneto-optic Kerr effect, Mechanics of Materials, Electrical and Electronic Engineering, business, Longitude

الوصف: The magneto-optical Kerr effect (MOKE) of ultrathin film grown on non-magnetic anisotropic substrate has been investigated. The formula of Longitude Magneto Optical Kerr effect for this structure is derived to find out the influence of the anisotropic substrate on the magneto optical properties of the sample. The change of Kerr rotation as a function of the incident angle is also given, which can be used to find a proper angle in sample measurement. Finally, a numerical simulation was carried out to find out the relation between Kerr rotation and optical properties of the anisotropic substrate which can be used to select suitable substrate on which the film grows.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::3f9169e18067bf5fcc1c31b3d8e5d13eTest
https://doi.org/10.3233/jae-131651Test