To respond to the changes in the m arket rapidly, the workshop has become an ever-changing dynamic environment in regard to personnel change and organization alternation, etc. Therefore it is ne cessary to reconfigure the workshop system. In this paper, we present the point of view that the closer the relations are among elements in the system, the clos er they should be connected with each other when they are integrated in designin g and structural modeling of the workshop system. At first, this paper discusses the relationship among elements in the workshop system and events describing th e relationship, and provides a technical overview of the expression, definition and classification of relationship. This paper focuses on the steps and algorith m to evaluate the degree of closeness of relations among elements in systems, an d emphasizes the modeling methods for workshop reconfiguration by use of a fuzzy cluster. In light of the above steps and methods, types and contents of basic r elationships among elements should be determined, and a standard relation tree s hould be set up. Then, correlation coefficients are calculated by the standard r elation tree, and a fuzzy relation matrix is built up. After that, the structure modeling of the workshop equipment system can be completed through a fuzzy clus ter. The paper ends with an application of a FMS(Flexible Manufactuing System) f unction system modeling. Results of the modeling and calculations are presented. To respond to the changes in the m arket rapidly, the workshop has become an ever-changing dynamic environment in regard to personnel change and organization alternation, etc. Since it is necessary to reconfigure the workshop system. In this paper, we present the Point of view that the closer the relations are among elements in the system, the clos er they should be connected with each other when they are integrated in design in g, and the construction modeling of the workshop system. At first, this paper discusses the relationship among elements In the workshop system and events described th e relationship, and provides a technical overview of the expression, definition and classification of relationship. This paper focuses on the steps and algorith m to evaluate the degree of closeness of relations among many elements in systems, an d Emphasizes the modeling methods for workshop reconfiguration by use of a fuzzy cluster. In light of the above steps and methods, types and contents of b After the, the structure modeling of the asic r elationships among elements should be determined, and a standard relation tree s hould be set up. Then, correlation coefficients are calculated by the standard r elation tree, and a fuzzy relation matrix is ​​built up. The workshop equipment system can be completed through a fuzzy cluster. The paper ends with an application of a FMS (Flexible Manufacturing System) failure system modeling. Results of the modeling and calculations are presented.