Modeling of expert system of quality standard in supply chain

The quality of the products is tremendously hard to retain and even goes out of control when excess links of supply chains are involved in the process and if the quality standards and requirements of the products and parts are neglected. As a result, it is highly necessary to set up an expert system to combine all parts, such as but not limited to: technical standards, experiences of processing and manufacturing involved, the standard rules, and characteristic of parts, etc. together in the form of a knowledge base, so as to inquire and deduce known and unknown standards of products and parts in a timely and effectively manner. This knowledge base is then stored with relational database, relational calculus to be inquired and similarity to be deduced, and these can further form new rules by inductive learning as described in this paper.