China Safety Science Journal ›› 2024, Vol. 34 ›› Issue (5): 231-237.doi: 10.16265/j.cnki.issn1003-3033.2024.05.0700

• Emergency technology and management • Previous Articles     Next Articles

Emergency supply chain reliability evaluation based on combined empowerment-bias order set

WANG Dan(), GAO Wenwen**()   

  1. School of Business Administration, Liaoning Technical University, Huludao Liaoning 125105, China
  • Received:2023-11-14 Revised:2024-02-18 Online:2024-05-28 Published:2024-11-28
  • Contact: GAO Wenwen

Abstract:

In order to coordinate the distribution and use of materials in the emergency supply chain, the reliability evaluation indexes of the emergency supply chain were refined based on literature analysis. The reliability evaluation index system of the emergency supply chain was established, which was composed of three first-level indicators of organizational guarantee reliability, system institutional reliability and operation process reliability and 17 corresponding second-level indicators. AHP, EWM, and trigonometric fuzzy number were used to calculate the index weights, and the partial order relationship containing weight information was introduced into the evaluation, and the combined weighting-partial order set model was constructed to evaluate the reliability of the emergency supply chain. The reliability level of the emergency supply chain in five county-level cities of city C was evaluated and analyzed by using the model. The results show that the reliability of the emergency supply chain in the five county-level cities can be divided into four categories, among which the reliability level of region 03 is high, the reliability level of region 04 and 02 is relatively high, the reliability level of region 05 is medium, and the reliability level of region 01 is low. Through comparative analysis, the strengths and weaknesses of each region, and the areas needing improvement are obtained. This evaluation model can effectively evaluate the reliability level of the emergency supply chain.

Key words: combined empowerment, partial order set, emergency supply chain, reliability evaluation, analytic hierarchy process (AHP), entropy weight method (EWM)

CLC Number: