INFORMATION TECHNOLOGY FOR QUALITY EVALUATION OF PUBLISHING AND PRINTING PROCESSES

The article investigates the problem of predictive evaluation of the quality of pub lishing and printing processes.The relevance of developing information technology is substantiated.This technology is designed to account for the complex structure of techno logical interrelations, the influence of diverse factors, and the multicriteria nature of deci sionmaking.A scientific basis is formulated for modeling the qualitative characte ris tics of printing processes by applying logicalmathematical and semantic tools.A multilevel information technology is developed.It includes the stages of domain analysis, function modeling, formal representation of input data, synthesis of factor models, optimization of models, design of alternative implementations of the examined publishing and printing process, construction of fuzzy inference models, and calculation of an integrated quality index.Each stage involves the construction of a functional model based on the IDEF0 methodology.A set of quality factors is identified.These factors are modeled using logical and semantic means.A hierarchical model with weight coefficients is constructed.Pro cess implementation alternatives are selected according to Pareto optimality principles.The final stage involves the synthesis of a fuzzy inference model, the formation of a know ledge base, and the calculation of the predicted quality level.The generalized model of information technology is presented as a structuralfunc tional diagram.The proposed technology is adaptable to any publishing and printing process.It ensures a complete evaluation cycle -from data collection to the generation of conclusions in numerical form.This technology serves as a universal tool for quality prediction and informed decisionmaking in a multifactor environment.