Simulation highway for food quality management

Nowadays the decision making in the obstacles of technological society becomes ever complex. The reason is the complexity of technological processes, because control and management by them are information capacious and expensive. An additional problem in food manufacturing is the demand for appropriate quality of the products, which is the critical factor for the health of the customers. Due to the reasons mentioned above topical are the requirements for situations forecasting and transparency of the processes to ensure the possibilities of estimation and evaluation of the different factors and scenarios before the decision making. It is important at both lower and higher structural levels of the processes administration as well as in the branch management at the national level. In 21 century for solving the questions mentioned the varied simulation tools can be used providing the possibilities of the centralised or distributed simulation of the technical and social (biologic, environmental) systems. Moreover, today is possible to design open and highly functional modelling systems having human-machine interface (HMI), which does not asks for the specific skills on information and communication technologies (ICT). Simulation Highway is the international project, which aim is the elaboration of the conceptual model and the demonstrator for the open and distributed simulation system serving for the decision making at the different structural levels of agricultural manufacturing and its control (from the farm to the ministry) using the gathered and disposable information about the actors of agricultural manufacturing, animals and pedigree register, milk and meat production quantity and quality, forage manufacturing results etc. regarding environmental impact, tendencies of the world market, changes in human resources as well as other factors. The technological environment of the Simulation Highway involves varied resources for the discrete-event and agent-based simulation, system dynamics analysis, artificial neural networks application and distributed simulation ensuring situations analysis and forecasting not only at the micro-analytical level, but also using the multi-level approach. Not only the technological and engineering research are carried out during the Simulation Highway implementation, but the sociotechnical factors also are evaluated. Using the system mentioned above will be possible to ensure more successful and precise activities as animals breeding and logistics planning of the products and animals movement, animals genetic quality evaluation and forecasting, disease spreading and forecasting of epizootic situation, food market forecasting, milk quotas and financial resources planning, and other business processes and operations planning and forecasting.