Abstract
Abstract Intra-plant transport has an important role in the systems of enterprise logistics. At present, automated transport systems (AGV) are used for its efficient operation, with minimal operator attendance. For the proper and reliable functioning of such a transport system, there is currently a wide range of methods, of which the method of computer simulation is increasingly dominant. In the application, however, it is necessary to take into account that the functioning of AGV systems is a very demanding process with high demands on the used simulation software. Within the article, it will be described the use of the method of additional programming, as an effective tool in the creation of a simulation model of the AGV system for the need of its planning. The model presents the possibilities of increasing of the output of the analyzed production process to more than 70%, and at the same time it indicates insufficient use of workplaces that in one case reaches the value about 10%. The application of this model pointed to the reduction of the number of workplaces by one and with this related increase of output of other workplace.
Highlights
Automated Guided Vehicles (AGV) are currently a part of many technological units, where they significantly contribute to the efficiency of ongoing processes
For the need of intra-plant transport operation planning by AGV simulation experiments were realized with the model
By reason of the complexity and scale of logistics systems, it is needed to use simulation approaches that are realized by functional simulation tools
Summary
Automated Guided Vehicles (AGV) are currently a part of many technological units, where they significantly contribute to the efficiency of ongoing processes. Fedorko et al [12] used this method to simulate container handling with AGV Within this research they applied specific programming commands in the language Simtalk, which enabled detailed creation of the simulation model and realization of subsequent experiments and analyses. The first main part of the model is the input store parts, which present gear-wheels, shafts and gearboxes in which consists of input gates for individual components. It is used to transfer finished products from produc- “MUs.wheel.create(gate1)“ which will generate a defined tion to the third main part of the simulation model. Generator 2 presents the supplier that supplies the store by logistics train to individual workplaces where they shafts.
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