文章基本信息

标题：Prioritizing Surgical Cancellation Factors Based on a Fuzzy Best-Worst Method: A Case Study
本地全文：下载
作者：S. Momen ; R. Tavakkoli-Moghaddam ; A. Ghasemkhani 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：13
页码：112-117
DOI：10.1016/j.ifacol.2019.11.161
语种：English
出版社：Elsevier
摘要：Surgery is a potent source of income, and surgical cancellation is a significant issue for hospitals. Surgical cancellation costs a lot to both patients and hospitals. Reducing a surgical cancellation rate has a substantial effect on improving hospital management. This paper considers both the effects of surgical cancellation on patients and hospitals. In addition, it presents a fuzzy best-worst method (BWM) based on a failure mode and effect analysis (FMEA) method to evaluate surgical cancellation factors. To achieve this aim, the FMEA and three effective criteria are taken into consideration. The psychological impact of surgical cancellation is one of the effective criteria, which has never considered as the involved criterion. Finally, a real case study in a Shariati hospital in Tehran is conducted to demonstrate the application of the proposed method.
关键词：KeywordsRisk assessmentSurgical cancellationFuzzy BWMFMEAFuzzy risk priority number