特集
機械安全のためのSSMによる構造化知識基盤の構築
2009 年 39 巻 4 号 p. 452-459
詳細
2009 年 39 巻 4 号 p. 452-459
The situations surrounding FA (Factory Automation) products nowadays have been dramatically changing. In order to deal with the global production of electrical devices such as mobile phones, personal computers and different parts in automobiles, the processes of the development and the design tend to be mounting under the International Safety Standards and the consideration of environment. Demand for quality and safety of products seems to be rising. Nonetheless, we must meet harsh markets' needs of cost and time reduction. Our company is the relatively young FA products manufacturer, founded through merging several Panasonic group companies in 2003. Holding up our mission of "The Contribution to our customers' business development through the reform of producing process with our technology of the electronic circuit formation", we have extended the market. To realize the high-efficiency and no-redoing design and development process, we have unified the process and committed to FMEA (Failure Mode and Effective Analysis) activity, making use of SSM (Stress Strength Model) as an IT based tool to lead to more innovation action. FMEA activity, utilizing SSM, especially focuses on quality, inputting all failure cases we have ever experienced into SSM knowledge Data Base so that we can take out the related information with integrated dictionary structure to feed back the finding into design processes. Meanwhile, products safety, which we should pursue as well as products quality, is nowadays attached great importance to in all manufacturers including FA markets. Products safety is that we call the lifeline for enterprises, and Panasonic group regards it as the first priority. In the measures making use of SSM to prevent poor quality design, we used to utilize mainly FMEA and then partly FTA (Fault Tree Analysis). Now, however, we put the first priority on "essential safety design" through safety FTA and the structure the knowledge management system, which enable us to evaluate products including its life span.
