
In order to maintain competitiveness, it is essential for modern industrial companies to record as much data as possible, by processing which they can obtain valuable information for the development and optimization of production and logistics processes. The RTLS system provides an opportunity to perform this task. RTLS, or Real Time Location System, is a Real-Time Local Positioning System used to identify people and moving objects and to determine and continuously track their current position in a configurable space. Real-time positioning can help us to locate the position of objects and people inside the building. The paper presents and compares the relevant RTLS systems used in practice. In addition, the implementation process of an RTLS system created at the Institute of Logistics is described, as well as its application potential in relation to a case study developed. he abstract contains a short, general description of the topic and the research shown in the paper.
Nowadays, the consumption is the most significant factor in the economy. The consumption requires different items, which must be produced by the industry. Production processes are realized mainly on workplaces, so their importance is inevitably. This paper presents an overview about the planning process of material handling machines, especially for the production workplaces. The research, shown in this paper, targets to develop a model, which can help to select the most suitable material handling equipment for different production workplaces. The topic presented in this paper deals with the building of selection algorithm for the exclusion of non-applicable equipment types. To show the useability of the concept an example will also be presented.
Optimization algorithms are used to reach the optimum solution from a set of available alternatives within a short time relatively. With having complex problems in the logistics area, the optimization algorithms evolved from traditional mathematical approaches to modern ones that use heuristic and metaheuristic approaches. Within this paper, the authors present an analytical review that includes illustrative and content analysis for the used modern algorithms in the logistics area. The analysis shows accelerated progress in using the heuristic/metaheuristic algorithms for logistics applications. It also shows the strong presence of hybrid algorithms that use heuristic and metaheuristic approaches. Those hybrid algorithms are providing very efficient results.
Fast development of automotive industry in Poland in recent years involves the need for rational waste management from the destruction and exploitation of vehicles. Rising number of new cars in Poland and existing age structure of the domestic park of vehicles will contribute to the increase number cars withdrawn from use. The way to solve the growing problem of waste recycling is the development of vehicles recycling system which contributes to the economic management of natural resources and energy. The ability to reuse parts, components and materials used in automobiles reduces the waste stream irrevocably deposited in landfills.
Quality control of crane wheels is an important part for support of crane mechanisms permanent operation. Normal functioning of logistics systems requires preventing of crane downtimes and delays. The research results of the impact of the crane wheels (710 mm diameter, 65Г steel) surface hardness on coercivity indicators are presented in this paper. Obtained research results of dependence between the coercivity indicators and the crane wheels rolling surface hardness for their use in practice are described. The influence of the crane wheels surface hardness on the coercivity indicators is researched. Research has shown the dependence of the coercive force from the regulatory crane wheels rolling surface hardness, which is received after a quenching. This research allows you to use obtained results for a quality control of the crane wheels quenching in the production process, a rapid control of the crane wheels at the expert examination.