The article deals with the use of dynamic simulation tools for planning and optimising changes in the supply process carried out by an automated guided vehicle (AGV). The integration of new products and the overall increase of the production capacity of the assembly line in the automotive company are foreseen to overexpose some transport node. For problem-solving in practice was applied statisticalexperimental research method. The article in its core deals with the designing and creating of a simulation model of AGV-transport processes using dynamic simulation, which is designed to check the patency of routes, the feasibility of processes and detect bottlenecks. Three proposals to reduce logistics downtime were verified. Based on the results of the simulation, one was selected to be applied. After applying the solution, the production line tact increased by 35 %. Based on the results of the experiments conducted on the current situation simulation model, it is important to propose improvements to the AGV's management and transportation systems. The output is a design with virtual verification of a new supply process without bottlenecks.
In this paper the authors present and discuss results of the development trends to achieving sustainability in logistics systems. The obtained results demonstrate the integration of energy efficiency in manufacturing and green logistic. Sustainable concept for green logistics and energy efficiency in manufacturing focuses on ecological, economic and social aspects. New energy efficient technologies can contribute to higher energy efficiency of enterprises. For automatic distribution of material in logistics process of manufacturing enterprise are used automatic logistics systems. These systems improve efficiency of logistics processes while decrease logistics costs. The further research will include the development in area of clean technologies, therefore the significant terms in the area of environmental and energy sustainability in logistics systems is defined.
Sustainable manufacturing is not just about manufacturing, but also products and services. In the area of custom production processes, there may also be circumstances of organizational management where compliance with labor productivity and the due-date principle is problematic. Similar products with different operating times cause the throughput of assembly lines to slow down, increase number of works in progress (WIP), and increase productivity waste. It is possible to reduce this impact through various productivity-enhancing methods and innovations. This paper presents an innovative approach to product segmentation in the assembly phase of custom manufacturing, and a proposal for a new segmentation procedure that will allow significantly better integration of products into existing assembly processes without negatively impacting the company’s production indicators. The scientific problem was defined on the basis that extending existing segmentation by the third dimension of operating times allows products in MTO (made to order) environments to be divided into families with approximately equal operating times. This will increase assembly efficiency in existing medium to large companies without large investments in the development and adaptation of assembly process products. The contributions of this work relate mainly to simple adaptations to existing processes in medium-sized businesses. The proposed solution respects the basic elements of Industry 4.0.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.