Tsai Sang-Bing, Zhou Jie, Gao Yang, Wang Jiangtao, Li Guodong, Zheng Yuxiang, Ren Peng, Xu Wei
Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong, China.
Economics and Management College, Civil Aviation University of China, Tianjin, China.
PLoS One. 2017 Aug 24;12(8):e0183634. doi: 10.1371/journal.pone.0183634. eCollection 2017.
Failure mode and effects analysis (FMEA) is an analysis tool for identifying and preventing flaws or defects in products during the design and process planning stage, preventing the repeated occurrence of problems, reducing the effects of these problems, enhancing product quality and reliability, saving costs, and improving competitiveness. However, FMEA can only analyze one influence factor according to its priority, rendering this method ineffective for systems containing multiple FMs whose effects are simultaneous or interact with one another. Accordingly, when FMEA fails to identify the influence factors and the factors being influenced, the most crucial problems may be placed in lower priority or remain unresolved. Decision-Making Trial and Evaluation Laboratory (DEMATEL) facilitates the determination of cause and effect factors; by identifying the causal factors that should be prioritized, prompt and effective solutions to core problems can be derived, thereby enhancing performance. Using the photovoltaic cell manufacturing industry in China as the research target, the present study combined FMEA with DEMATEL to amend the flaws of FMEA and enhance its effectiveness. First, FMEA was used to identify items requiring improvement. Then, DEMATEL was employed to examine the interactive effects and causal relationships of these items. Finally, the solutions to the problems were prioritized. The proposed method effectively combined the advantages of FMEA and DEMATEL to facilitate the identification of core problems and prioritization of solutions in the Chinese photovoltaic cell industry.
失效模式与效应分析(FMEA)是一种分析工具,用于在设计和过程规划阶段识别和预防产品中的缺陷或瑕疵,防止问题反复出现,降低这些问题的影响,提高产品质量和可靠性,节约成本,并提升竞争力。然而,FMEA只能根据其优先级分析一个影响因素,对于包含多个同时产生影响或相互作用的失效模式的系统,这种方法无效。因此,当FMEA无法识别影响因素和受影响因素时,最关键的问题可能会被置于较低优先级或仍未得到解决。决策试验与评价实验室(DEMATEL)有助于确定因果因素;通过识别应优先处理的因果因素,可以得出针对核心问题的及时有效解决方案,从而提高绩效。本研究以中国光伏电池制造业为研究对象,将FMEA与DEMATEL相结合,以修正FMEA的缺陷并提高其有效性。首先,使用FMEA识别需要改进的项目。然后,运用DEMATEL检查这些项目的交互作用和因果关系。最后,对问题的解决方案进行优先级排序。所提出的方法有效地结合了FMEA和DEMATEL的优点,有助于识别中国光伏电池行业的核心问题并对解决方案进行优先级排序。