Identification and Clustering Outsourcing Risks of Aviation Part- Manufacturing Projects in Aviation Industries Organization Using Kmeans Method

The purpose of this paper is to identify and clustering strategic risks in the outsourcing field of partmanufacturing projects of aviation products, that whit survey carried out through the study of literature and experts opinion, meanwhile, identification risk groups in this area through interview, identified cases and factors of risks through FMEA technique, finally, 50 strategic risks identified in 7 titles. In the following to resolve problems of traditional FMEA method, with definition three indicators risk include, risk intensity, occurrence probability, and confrontation frequency by a questionnaire and considering from three factors outsourcing assess contain cost, time and quality, risks of this area were clustered to K-means clustering and using SPSS software in 4 cluster include of significant risks, high level of risks, medium level of risks and low level of risks. Thus, the clustering of risks for decision-making and planning of suggested actions at the time of their occurrence, basis for future improvements will be provided to carry out the continuous improvement process at appropriate intervals with assessment of actions taken, the rate of improvement identified and therefore appropriate decisions are achieved.

Keywords:

Data mining , Clustering , K- means Method , Risk , Aviation Industries , Manufacturing Project