Title: Evaluation method of supply chain operation risk of logistics enterprises based on Monte Carlo algorithm

Authors: Zheng Xie

Addresses: College of Management, Hunan City University, Yiyang, 413000, China

Abstract: Aiming at the problems of low evaluation accuracy and long evaluation time in the supply chain operation risk evaluation of logistics enterprises, a method of supply chain operation risk evaluation of logistics enterprises based on the Monte Carlo algorithm is designed. First, set up the screening process of logistics enterprise supply chain operation risk evaluation indicators, and determine the key risk evaluation indicators. Then, the relationship network of risk evaluation indicators is constructed and the evaluation indicators are pretreated. Finally, the reliability degree of the index is calculated by the joint probability distribution function, and the construction of the supply chain operation risk evaluation model of logistics enterprises based on the Monte Carlo algorithm is completed. The test results show that the evaluation accuracy of the proposed method is always higher than 98%, and the time cost is always lower than 2 s, which can effectively improve the evaluation accuracy and shorten the evaluation time.

Keywords: Monte Carlo algorithm; logistics enterprises; supply chain operation risk; relationship network; factor set.

DOI: 10.1504/IJSD.2024.136620

International Journal of Sustainable Development, 2024 Vol.27 No.1/2, pp.156 - 169

Received: 02 Mar 2023
Accepted: 30 Aug 2023
Published online: 08 Feb 2024 *

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