Industry and industrial complexes are often located in the proximity of people’s homes. One of the negative effects of industry is noise emissions into the surrounding environment. With the increasing concentration of the human population and the increase in industrial production, more and more people are exposed to the negative effects of noise. This article discusses a comprehensive approach to reducing noise emissions from industrial operations, and the subsequent impacts on surrounding villages and human health. The first step of the whole process is to understand the current state of the acoustic situation in industrial operation and in the nearby villages, an important part of which is the identification and localization of dominant noise sources. For this purpose, a unique noise visualization tool was used, namely, an acoustic camera. The next important step is to propose a technical solution and measures to reduce the noise of the individual source. Consequently, it is necessary to create a mathematical model, i.e., noise maps, in order to verify whether the proposed measures will be sufficient. Once the proposed measures have been implemented, verification of the effectiveness of these measures needs to be carried out through repeated noise measurements in nearby villages and also on the site of the industrial installation. The above procedure was applied to the operation of a wastewater treatment plant that was causing noise exceeding the permissible levels in the surrounding villages. The application of this approach, the implementation of the proposed measures, and the subsequent verification confirmed a significant reduction in the noise levels in the affected villages, and the measures implemented were assessed as highly effective.

Abstract.Recently, it is possible to register a relatively large increase of robotized workplaces also in the fields which not suppose the using of robots. Their implementation was limited due to complexity of work activities, including for example handling of various goods in large quantities in various combinations and often also in the limited space.

This paper examines the use of computer simulation methods to streamline the process of picking materials within warehouse logistics. The article describes the use of a genetic algorithm to optimize the storage of materials in shelving positions, in accordance with the method of High-Runner Strategy. The goal is to minimize the time needed for picking. The presented procedure enables the creation of a software tool in the form of an optimization model that can be used for the needs of the optimization of warehouse logistics processes within various types of production processes. There is a defined optimization problem in the form of a resistance function, which is of general validity. The optimization is represented using the example of 400 types of material items in 34 categories, stored in six rack rows. Using a simulation model, a comparison of a normal and an optimized state is realized, while a time saving of 48 min 36 s is achieved. The mentioned saving was achieved within one working day. However, the application of an approach based on the use of optimization using a genetic algorithm is not limited by the number of material items or the number of categories and shelves. The acquired knowledge demonstrates the application possibilities of the genetic algorithm method, even for the lowest levels of enterprise logistics, where the application of this approach is not yet a matter of course but, rather, a rarity.

Selection of distribution channel type is an important decision of every manufacturing company and also for production engineering. Appropriate choice of distribution channel can save considerable costs while maintaining a high level of customer service. Determination of an appropriate strategy for the management of enterprise distribution channel. In this article, the selection of the type of distribution channel is proposed using ANP method to determine the strength of influence of input factors on the target set of potential options. Submitted model is very clear, understandable and according to the proposed methodology easy to implement, while also providing clear and understandable results during the selection of the type of distribution channel. The proposed model is primarily targeting for distribution of high-value stone which needs to decide which distribution strategy should be chosen or if to switch to another distribution strategy more suitable for the company needs.

Finite element methods are used in many disciplines for the development of products, typically in mechanical engineering (for example in automotive industry, biomechanics, etc.). Some modern programs of finite element methods have specific tools (electromagnetic, fluid and structural simulations). The finite elements methods allow detailed presentation of structures by bending or torsion, complete design, testing and optimization before the prototype production. The aims of this paper were model a conveyor belt passage with a driving drum. The model was created in Abaqus CAE program. The created model presented data about forces, pressures, and deformation of the conveyor belt.