Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 6

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
1
Content available Digital configurator of factories
EN
This article introduces a new approach to the digital prototyping of factories. The problem we are describing here refers to a complex and lengthy decision-making process regarding the construction of a new factory or production. This specific area of research has been developed through many years, which is pointed in the first part of article. The solution we have offered brings a new methodology to the prototyping of factories. This solution helps to shorten the whole process of designing, building, operating and optimizing the production business. The most remarkable result of methodology application is digital configurator of factories. This configurator serves as a tool for designing and comprehensive investment assessment of the planned factories. In our view, these results represent an initial step towards managing the whole process of building a new factory, which will minimize both time and resource requirements.
EN
The need for flexibility of layout planning puts higher requirements for uti-lisation of layout and location problem solving methods. Classical methods, like linear programming, dynamic programming or conventional heuristics are being replaced by advanced evolutionary algorithms, which give better solutions to large-scale problems. One of these methods are also genetic algorithms. This article describes the genetic algorithm utilisation in the production layout planningunder the terms of the digital factory concept.
EN
Current requirements which are connected with designing new, or reali-zing the existing production systems, cause continuous and rapid changes in products and processes. This means that classical approaches of pro-duction systems design have to be extended by advanced technologies and methods, such as digital factory, virtual and augmented reality, computer simulation, reverse engineering, etc. The article describes new computer technologies, which were applied in production practice, with a particular focus on the augmented reality technology.
EN
The article presents practical knowledge about production process optimisation as a result of implementing a specialized system monitoring the work of machining tools. It features complex results of the conducted research with use of dedicated equipment and software, whose unconventional application may appear to be an effective IT tool for taking operational and strategic decisions in the machining area. This results from the possibility of analysing the obtained data in both current and long-term perspective, and taking decisions on this basis, which significantly conditions the rationality of using this type of solutions.
EN
This paper describes an algorithm of dynamic inventory control system for large numbers of material items with continuous non-stationary demand. It uses principles of pull inventory control systems, statistical inventory analysis and joint replenishment inventory systems. This algorithm was processed in software module (VBA for Excel) and applied in practice. The target of described algorithm is to keep an optimum inventory level and optimum customer service level in terms of inventory control of items with non-stationary demand.
EN
This paper describes a methodology for inventory analysis and reduction, which was developed at the Department of Industrial Engineering, Faculty of Mechanical Engineering, University of Zilina. The methodology describes the optimal procedure for the application of basic analytical methods and tools in practice. The results of the analysis are in the algorithm linked to the subsequent actions realized to improve inventory management system and to minimize inventory level in the company. Described procedure is the result of methodology examination and verification in practical conditions of production enterprises. In the following sections of this paper, there are presented a comprehensive approach to the inventory analysis and the own algorithm, which contains 3 phases: inventory analysis on enterprise level, summary analysis of individual item groups and individual analysis of material items. In the last section, there are described examples of results from such analysis and conclusions. The presented approach is an attempt to create a universal procedure of analysis which integrates methods and tools described in various publications.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.