The Development of Organizational and Technological Diagrams for Designing Unique Transport Facilities Using Simulation Models

Abstract

Technical complexity, service safety requirements, and uncertainty of building and functioning conditions cause the objective necessity to improve organizational and technological diagrams of designing transport infrastructure facilities. The developed schemes and methods of organization of projecting unique transport facilities should meet the required quality of projects at the limited value of initial data and the possibility to adjust the design solutions in the process of design tasks implementation. The paper deals with the development of a methodological approach to substantiating the organizational and technological diagrams for the design of unique transport structures using simulation models. This approach provides the possibility of modeling the work of design organizations, taking into account the dynamics of the input of initial information and its uncertainty, iteration and persistence of the processes of developing innovative design and technology solutions, time parameters of creation, and quality of project design depending on the designer skills, engineering risks, and other stochastic factors. The authors carried out the theoretical research of simulation model and design organizations functionality creation using the theory of deterministic and stochastic graphs with returns. During the study, the dependences of quality and design solution development time on the designer skills and initial information uncertainty are obtained. The authors propose the technique for transforming the information-logical schemas of design organizations work into stochastic models, the procedures of events generation and solution adjustment imitation, and the project groups’ formation. The study identified that it is possible to improve the reliability and safety of the unique transport facilities through the development of organizational and technological design diagrams, which consider the uncertainty, initial data dynamic nature, and designer skills.