Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

799-810


DOI

Article

Demonstration of application program of logistics public information management platform based on fuzzy constrained programming mathematical model

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Authors

Weiwei Gong Affiliation:
Transportation and Economics Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, 100081, China
, ZhiShen Xu Affiliation:
Transportation and Economics Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, 100081, China
, Lingyun Zhou Affiliation:
Transportation and Economics Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, 100081, China
and Moaiad Ahmad Khder Affiliation:
College of Arts & Science, Applied Science University, Bahrain


Abstract

As the main development direction of the new era, it not only makes rational use of modern technology and information resources, but also optimizes the overall level of urban logistics planning, construction and management. Now, with the continuous improvement of residents’ living standards, it has gradually become the focus of attention. The difference between the Internet of Things and the digital city’s public information platform based on the comprehensive perception of urban information resources allows in-depth exploration and analysis, and ultimately improves the overall urban logistics construction management service level. On the basis of understanding the current scientific research results and public information management platform construction experience, starting from the construction of the current public information management platform, based on the information cloud service architecture, verify and analyze the operation of the public information management platform of the information cloud service architecture. Can lay the foundation for construction. From the perspective of logistics, this paper makes an in-depth exploration of the uncertainty of production and customer demand in public system management, and gives a mathematical model of fuzzy constrained programming combined with the characteristics of the information cloud structure to solve the detailed aspects of the system at a higher level.


Keywords

Fuzzy constraint programming mathematical model, logistics public information management, platform application demonstration, 81T15, 82B20


Citation

Gong, W., Xu, Z., Zhou, L., & Khder, M. A. (2022). Demonstration of application program of logistics public information management platform based on fuzzy constrained programming mathematical model. Applied Mathematics and Nonlinear Sciences, 7(2), 799–810. https://doi.org/10.2478/amns.2022.2.0067

Published by: Engineering Journals

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