A belief-desire-intention modeling approach for inspection-oriented quality management

The recent quality scandal in Chinese dairy industry has revealed a serious problem: The quality inspection processes are lack of effective methods to avoid inspection errors when suppliers deceive in order to maximize their profit. The solution to this problem relies on incorporating domain knowledge into the inspection policies that guide an inspection process. However, domain knowledge cannot be captured in the traditional mathematical or statistical models used in quality management. To fill this void, we propose a belief-desire-intention modeling approach to factor the domain knowledge of the inspection environment, the inspection capability of various measurements, and the associated risks for inspection errors. The proposed model can be used as a foundation to design intelligent systems to monitor and detect quality problems timely and effectively.