Research On Key Reconfigurable Technologies Of Printing Manufacturing System

With the increasing diversification and personalization of customer needs,the printing industry has entered a meager profit age.Traditional rigid printing automated production lines and flexible printing production processing models are unable to respond to rapidly changing market demands in a timely manner,so Therefore,the printing industry is looking for a production mode that can respond quickly to market changes and improve the production capacities of printing enterprises.The reconfigurable manufacturing system can transform mass production into customized mass production and short batch production,achieving rapid response to new production demands and expectations,reducing production costs,shortening production cycles and increasing production efficiency in traditional enterprises.Therefore,this paper takes the printing manufacturing system as the object,and studies the modeling theory,reconfiguration mechanism and optimal reconfiguration strategy of the reconfigurable printing manufacturing system(RPMS).Aiming at the problem that the production mode of traditional printing enterprises can not quickly respond to the market demand,this paper expounds the concept of the RPMS,and gives its definition and characteristics the Agent-Re source-Workstation(ARW)model is proposed based on agent by analyzing the characteristics of "Production and Consumption of Resources"in the printing process.The functions,attributes and behavior characteristics of each component model in ARW model are abstracted and defined.On this basis,the reconfiguration of workstation models(RWMs)based on ARW model is constructed.After systematically abstracting the RWMs,we used the process algebra(PA)to describe the reconfiguration state of the RWMs and verify it formally.The verification results show that the RWMs can better demonstrate the desired external behavior,and verify the feasibility and effectiveness of the RWMs.In order to improve the robustness of the RPMS,a new reconfiguration of workstation models(NRWMs)based on ARW model is proposed.The formal semantics of the PA is used to describe states of the workstation model.Then we construct the algebraic model of the NRWMs,which is formalized by the axioms of the PA.The verification results show that the n NRWMs can better display the expected external behavior of the system.Meanwhile,the system has good robustness,and it can prevent deadlock and improve the security of the system.Finally,we use the mCRL2 tool to simulate the NRWMs.According to the analysis of the state transfer process and state space structure of the NRWMs,the branches of the state space increase regularly with the increase of retransmission times.When the probability of retransmission failure is 20%and the probability of the workstation W2 being able to successfully obtain the printing resource d’ is greater than 99%,the number of retransmissions is 3.In order to choose the optimal printing reconfiguration scheme from a variety of feasible reconfiguration schemes,this paper proposes a method for making the optimal printing reconfiguration scheme of the RPMS based on stochastic process algebra(SPA).Firstly,a comprehensive evaluation algorithm considering both subjective and objective evaluation probabilities is designed by analyzing the characteristics of the printing production process.Then the operation chain model(OCM)is constructed.Using the SPA syntax,the OCM extends the integrity attribute,the integrity measurement probability and the comprehensive evaluation probability.The transition rules of the OCM are defined.The semantic model of the operation chain is constructed.Finally,a simulation experiment was carried out with the RPMS in a company.Finally,we carry out experiments using an enterprise RPMS.The experimental results show that the optimal printing scheme meets expectations.The integrity measurement result ICP=true shows that the optimal printing scheme has good integrity.Aiming at the decision-making problem of optimal reconfiguration opportunity in the RPMS,a RPMS complexity quantitative model is proposed the based on the information entropy theory.Firstly,the mathematical model of every printing state probability is established to solve the RPMS dynamic complexity.The decision-making model of RPMS reconfiguration opportunity is established based on cusp catastrophe theory.Then we carried out simulation experiment in a plant RPMS.The state probabilities of each printing manufacturing module are calculated with reference to the actual operation of the printing equipment.The information entropy values of the positive complexity,the negative complexity and the system complexity of the RPMS are obtained based on the RPMS complexity quantitative model.By analyzing the trend of the complexity entropy with time,the function relation is determined.The optimal reconfiguration time is calculated based on the function relationship.Finally,the decision-making model of the optimal reconfiguration opportunity based on cusp catastrophe theory is used to verify the feasibility and validity of the proposed method.