The Complex Network Model Construction of Multi-Objective Job Shop Based on Data Information

The data of the multi-objective job shop production process in intelligent manufacturing has the characteristics of diversity, ambiguity, heterogeneity and stochastic dynamics. Combined with the complex network theory, the network modeling algorithm is used to build a multi-objective job based on data information to dynamically weigh the complex network model. Taking the data information as a node, taking the relationship between data as the edge, and taking the intensity between relationships as the weight of the edge, the model introduces dynamic changes in time. In consideration of the dynamic evolution of internal nodes, edges and weights at different times, the process optimization model for the multiobjective job shop problem is transformed into the data optimization model. After the analysis of the characteristics parameters of the model, the simulation experiments verify that the model has the characteristics of network without scale, which proves that the model can perfectly describe the actual workshop production.