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In the conditions of shipment processing it is important to observe the timetable of dispatch in which the entire processing process is going on. Each element of the processing system is important and it is linked with others by time. This means that the delay of one element causes an avalanche effect. The use of computer simulation helps in optimizing processing processes as a whole. This helps to detect regularities and bottlenecks that have been previously overlooked. The concept of Smart Logistics as part of the Smart Factory using simulation as a tool to estimate the future behaviour of the system. The article describes its own system for determining the number of staff to perform the required activities within the processing process. On the basis of the actual number of shipments, the arrival times and the processing system data, a solution can be described using a simulation tool to determine the number of workers. The simulation helps us to design the number of workers so that they observe the times of truck departures from the processing depot. This guarantees compliance with the timetable at minimum labour costs.

Current trends in manufacturing, which are based on customisation and gradually customised production, are becoming the main initiator for the development of new manufacturing approaches. New manufacturing approaches are counted as the application of new behavioural management patterns that calculate the retained competencies of decision-making by the individual members of the system agent, the production becomes decentralised. The interaction of the members of such a system creates emergent behaviour, where the result cannot be accurately determined by ordinary methods and simulation must be applied. Modelling and simulation will, therefore, be an integral part of the planning and control of the processes of factories of the future. The purpose of the article is to describe the use of modelling and simulation processes in factories of the future. The first part of the article describes new manufacturing concepts that will be used in factories of the future, with a description of modelling and simulation routing in the frame of Industry 4.0. The next section describes how simulation is used for the control of manufacturing processes in factories of the future. The included subsection describes the implementation of this suggested pattern in the laboratory of ZIMS (Zilina Intelligent Manufacturing System), with an example of a metamodeling application and the results obtained.

The current development in production is directed towards a system called socio-cyber-physical, where humans, machine facilities, materials, technologies and the environment work together. Processes in companies are enrolling in a platform called Industry 4.0. Production is more similar to a living organism where the planned dynamic in the field of logistic and production elements of the system are exchange by emergent dynamically moving fully adaptable autonomous agents. Agents are plant facilities that have software implemented with decisions rules and are not control by human. These autonomous agents communicate and interact with each other in a protocol. In the factories of the future, presence of humans is also predicted and therefore the humanization of communication and interaction between human and agents of system must be considered. The human becomes a living agent who will communicate with others and collaborate to achieve goals. In individual workplaces, agents will serve and support humans in service, production, inspection, supply etc. but also a human will do that for agents. Although production will behave Emergent it is necessary that the activity of agents support the activities of humans in the workplace and that is not possible without communication. In this point there is a need for mastering the communication between the human and the agent and this can be done through Chatbot systems. This paper is aimed at designing a potential coordination system between humans and agents in factories of the future by using Chatbot systems.

Nowadays, many factories face changes on the global market and manufacturing is unpredictable. This fact creates a demand for developing new concepts of the factory which can represent a solution to these changes. This study presents a way for designing these new factory concepts, particularly a concept of the reconfigurable manufacturing lines. The methodology in this study uses characteristics of reconfigurable manufacturing systems for developing an algorithm for designing the basic factory layout. The methodology also combines classical math operations for designing the production layout with such approaches as simulation, cluster analysis, and LCS algorithm. This combination method with LCS algorithm and an entirely different approach to the design of the manufacturing line, has not yet been used. The accuracy of this methodology is then verified through the results of the complete algorithm containing these features. The main purpose of this study was to find new approaches to designing the reconfigurable factory layout. This article is presenting new ways that differ from the classical design method. The article suggests the new way is possible and the new systems also need new ways for designing and planning.