Improving the risk Assessment of FMEA in Foamed Asphalt preparation Plant based on Intuitionistic Fuzzy

Abstract

Taking foamed bitumen preparation equipment as the research object, aiming at the shortcomings and shortcomings of traditional failure mode and effect analysis (FMEA) method, this paper proposes a method to improve FMEA based on intuitionistic fuzzy. This method converts N expert language variables into corresponding intuitionistic fuzzy numbers to represent the failure mode and risk factor weight evaluation information. Combined with intuitionistic fuzzy weighted geometric operators and improved Hamming distance, the traditional FMEA method is improved to determine the bubble Risk order of failure mode of asphalt preparation plant. The results show that: asphalt pipe blockage, asphalt tank cracking and tapered rod end fracture are the three highest failure modes for foamed asphalt preparation equipment.

The Effect of Comprehensive Use of PDCA and FMEA Management Tools on the Work Efficiency, Teamwork, and Self‐Identity of Medical Staff: A Cohort Study with Zhongda Hospital in China as an Example

“…Continuously improving the quality of hospitals has become the core issue of the survival and development of hospitals. The use of quality management tools such as PDCA cycle to establish a hospital quality management model and continuous quality improvement through the cycle of PDCA has become one of the effective ways to enhance the core competition of hospitals [ 25 ]. In this study, 200 medical staff members from January 2020 to December 2021 in our hospital were prospectively enrolled as the research subjects, and 200 medical staff members were assigned to the control group and the research group using the numerical table method, with 100 cases in each group.…”