Integrace výrobní inteligence do řízení procesů

Abstract

The dissertation is focused on design and development of the method of work using simulation methods and integration of control system intelligence with evaluation and planning of production and supply logistics systems. The motivation for developing the thesis results is the applicability for a complex defined task and the speed with which the simulation methods work. The content of the thesis can be divided into two main parts, where the first one is the theoretical base and the second part is practical. The theoretical level of thesis is mapping currently available approaches to solving complex tasks from the area of production and supply logistics chains, starting with analytical methods, throughout similarity with more complex tasks of the operational analysis field, up to the simulation approaches. Within this part the key indicators of the researched system definition originated in logistic controlling are first specified and then supplemented by methods of obtaining data. The conclusion of a theoretical part is a list of recommended simulation methods to be used for solving these complex tasks. The practical part of the thesis begins by selecting the Witness simulation tool, the specification of its main building elements and the pair of demonstration examples. Both of theirs aim is to verify the way for the entering of all the key indicators to created simulation model. Proposed working method, according to the parametrical simulation model for solving the problems of the production and supply logistics, concludes the practical part embedded in an open cloud environment according to the concept of Industry 4.0. An integral part of the dissertation is providing information about results of work from the user point of view, the recommendations for the community of theory and practice when solving the complex tasks of production and supply logistics and a summarizing conclusion.