The reliability measures model of multilayer urban distribution network

• Published in: Soft computing (Berlin, Germany) Vol. 22; no. 1; pp. 107 - 118
• Main Authors: Zhang, Hao, Wang, Mingkun, Tang, Mengjiao, Yang, Haoxiong
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2018; Springer Nature B.V
• Subjects: Artificial Intelligence; Bayesian analysis; Collaboration; Computational Intelligence; Control; Customer services; Distribution costs; Economic development; Electronic commerce; Emergency preparedness; Engineering; Failure rates; Industrial development; Linear programming; Logistics; Mathematical Logic and Foundations; Measurement methods; Mechatronics; Methodologies and Application; Multilayers; Network analysis; Order quantity; Payback periods; Performance evaluation; Robotics; Supply chains; System reliability; Traffic congestion; Urbanization; Supply chain; Multilayer; Bayesian network; Urban distribution network; reliability
• ISSN: 1432-7643; 1433-7479
• DOI: 10.1007/s00500-017-2900-4

The reliable optimization of multilevel urban distribution network research helps to adapt to the changeable demand. It also can guarantee service ability of urban distribution network, so as to promote the economic development. Using the method of fuzzy reliability, series system reliability, failure rate, relative failure rate and failure function, the paper aimed at defining the key factors, the measure model and the measurement method of the reliability of urban distribution network clearly. Then, with the simulated data, the analysis of measurement model process and the application method are presented. The method can clear the level of the reliability and the weaker aspect of the urban distribution network which can provide the basis for improving the whole reliability. The paper sets up the measure model for the reliability of two-layer urban distribution network and then verify the validity of the methods. Bayesian network analysis is used to examine the influence of each factor on the reliability of the system, and the importance of each influencing factor is calculated.