Ключевое слово: «human factor in triz»

The design experience of the authors shows that cause-effect chains analysis (CECA) is one of the main analytical tools of TRIZ-projects at industrial facilities. However, with all its intuitive comprehensibility and popularity, the cause-and-effect analysis procedure is a complicated and painstaking process. Its results depend heavily on correct building of cause-and-effect relations between events, where should be no paralogisms and cognitive biases of the CECA actor. It is the authors' opinion that exactly elimination of these harmful effects is the main value in automation of cause-effect chains analysis. This paper gives results of an investigation conducted on a sample of cause-and-effect chains of TRIZ-projects for mistakes made by TRIZ-specialists during cause-effect chains analysis. Types of such mistakes and their consequences are also given here. The paper briefly describes results of an overview conducted on references dedicated to in-crease of cause-effect chains analysis accuracy including that through automation. The authors also provide insight into functions of the Compinno-TRIZ module, where CECA is automated in two modes: without logic check and with logic check. The paper gives comparison of cause-and-effect chains made without logic check and with logic check in the Compinno-TRIZ CECA module, as well as provides practical examples of this module application in various modes.