| How to realize the rational allocation of limited heterogeneous resources in flexible assembly system in intelligent environment and improve the total factor productivity of assembly system is valuable subject.Key stations have the greatest impact on the overall production benefits of assembly manufacturing enterprises.Therefore,the overall production benefits of the manufacturing system can be further improved by focusing on the management of key work stations and focusing on the key work stations to achieve the optimal man-machine configuration.Meanwhile,the development of intelligent technology increases the complexity of man-machine relationship and makes the correlation factors difficult to quantify,which increases the difficulty of man-machine collaborative configuration.Therefore,how to achieve the optimal man-machine configuration at the key station of the flexible assembly system and achieve the precise investment of limited heterogeneous resources has become an urgent problem.This paper focuses on the identification of key station nodes,the expression of preference information of matching subjects and man-machine collaborative configuration.The key problems studied include: how to identify key stations of flexible assembly system,two-sided matching problem in manual operation mode,hybrid matching problem considering automation level constraints and dynamic three-sided matching problem facing multi-stage preference information.The main contents of this paper are summarized as follows:Firstly,in order to identify the key stations of flexible assembly system.The relationship(benchmark,adjacent and subordinate)between the station nodes is extracted by constructing the process framework model and correlation function is designed.Based on the complex network theory,a workshop network model is constructed which stations are regarded as nodes,and the coupling relationship between stations is edge.Then,the key station nodes are identified by central node algorithm.Finally,the effectiveness of the method proposed in this chapter is verified by a case.Secondly,in order to realize two-sided matching between personnel and key stations in manual operation mode,two-sided model is constructed.The dual hesitant fuzzy set is introduced to obtain the preference information of the matching subject.The preference information matrix is normalized by the pessimistic criterion and the bidirectional projection technique is designed to transform the normalized matrix into the closeness matrix.Meanwhile,the stability constraint is introduced to construct a two-sided matching model,and the combined satisfaction analysis method is used to transform the multi-objective problem into a single objective problem.Finally,the proposed method is verified by the matching of personnel and key stations as a case study.Thirdly,hybrid matching considering automation level constraints in man-machine cooperation mode.To obtain the preference information of matching subjects by interval valued intuitionistic fuzzy sets.Subsequently,a score function based on centroid method and TOPSIS is designed considering the hesitation of interval valued intuitionistic fuzzy sets.Then,a hybrid two-sided matching model considering the automation level is constructed.Finally,the proposed method is verified by the mixed matching of personnel,machines and key stations.Fourthly,in order to realize dynamic three-sided matching considering multi-stage preference information in human-computer cooperation mode,this chapter proposed a dynamic three-sided matching method.Because of the flexibility of fuzzy language acquisition,this method is used to obtain preference information.Subsequently,a multistage dynamic reference point setting method is proposed based on the overall preference expectation.Then,the probability density function is used to calculate the income loss situation,and the prospect value matrix is obtained by the value function.On this basis,the attenuation index model is introduced to calculate the satisfaction matrix.Finally,a dynamic three-sided matching model is constructed to maximize the satisfaction of the three-sided matching subject,and the proposed method is verified by taking the multistage three-sided matching of personnel,cooperative robots and key stations in the manmachine cooperation mode as a case study.The paper is expected to improve the effectiveness of man-machine collaborative configuration of flexible assembly system,and then improve the overall production efficiency of assembly manufacturing enterprises,and further enhance the competitive advantage of enterprises. |
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