关键词: 车间扰动, 离散车间, 案例推理, 序关系分析法, 核密度估计

Abstract: In view of the facts that once the workshop disturbance occured, it would seriously affect the production operations of the workshop, in order to deal with disturbances quickly and efficiently, and to restore normal operations of the workshop, a method on intelligent workshop disturbance processing decision was proposed by improved case-based reasoning. The discrete manufacturing workshop disturbance processing under the intelligent manufacturing environment was taken as the research object, the ternary method was used to model the workshop disturbance case, the hierarchical attributes of the case problem domain were analyzed. A multi-dimensional similarity matching algorithm of case feature attributes was proposed, and the corresponding similarity matching formula was designed. Combined with index contribution rate and kernel density estimation, the order relation analysis method was improved to determine the attribute weight values， the accuracy of case matching was improved, the fast and efficient matching of disturbance cases and historical cases was realized, and the specific solutions was provided. The effectiveness and feasibility of the proposed method were verified by a disturbance case of a mold intelligent manufacturing workshop.

Key words: workshop disturbance, discrete workshop, case-based reasoning, order relation analysis method, kernel density estimation