This article focuses on optimisation of the distribution routes for a company that produces carpets, floor coverings and tapestries. The optimisation process is based on operational research methods including, without limitations, Mayer's meth...

At present, companies should definitely be able to adapt to their environment. It entails being able to successfully predict and eliminate flaws and undesirable steps which may result in negative consequences. It can only be executed by careful consideration of three basic enterprise’s components which comprise the following: material resources, financial resources and human resources. An effective corporate coordination and human resource management is a cornerstone of the enterprise’s success while these components are of the same importance to this success. To this end, the aim of this manuscript is to design innovative recruitment procedures when using age management approach for a specific transport company; in particular, its human resource management is taken into consideration. In the initial parts of the manuscript, an analysis of quantitative and qualitative data is performed, wherein introduction into the addressed subject, relevant literature review, as well as description of utilized data and methods within the conducted research are elaborated. Consequently, in a case study section, the Work Ability Index (WAI) method is used to focus on the chosen group of employees in order to profoundly investigate their work abilities. The very examination of employees’ life cycle encompasses multiple age categories and measures a decrease in their work ability level. As for the ensuing (final) parts of the manuscript, a thorough evaluation of results obtained, appropriate discussion and, last but not least, conclusion section are compiled, in which the most imperative findings of the performed investigation are comprehensively summarized. Following the above, the purpose of this study is to compile a novel methodological procedure in terms of using the principles of age management in human resource management; specifically, in an opted transport company, and thus helping towards more effective and sustainable corporate recruitment strategy.

By designing road infrastructure, it is necessary to adapt the real situation to current development trends and respond accordingly to the intensity of traffic on the transport network. The development of the traffic situation is generally very dynamic, difficult to predict and influenced by a number of other factors. Modern technologies enable adaptive traffic flow management based on the sharing and evaluation of traffic information obtained in real time from traffic monitoring systems or even from vehicles as such (e.g. thanks to “Connected Vehicles” technology). The article first carries out a literature review of professional literature and scientific articles dealing with the issue of autonomous mobility and autonomous management of transport processes. That is followed by a description and creation of own algorithm for autonomous control of vehicles at the level crossing, including description of used data, methods and proposed solutions. Finally, the developed method (algorithm) is tested by the Anylogic simulation program in a real environment, as a case study of autonomous vehicle decision-making at the level crossing.

This article deals with pick-up and delivery activities in a selected company that focuses on the distribution of products in the gastronomic sector of the market and suggests how to make the present approach more efficient. The introductory part of the article clarifies the meanings of basic concepts related to the issue of optimizing the logistics processes in the company. The crucial goal is to analyze the existing pick-up and delivery technology and then, in the application part of the article, to propose adequate measures in the context of streamlining these activities with their technical and economic evaluation. An analysis of current delivery routes, which are used for the distribution of gastronomic products, is first performed. Thereafter, the routes are optimized with the aim of minimizing the total distance traveled by using the Operations Research methods, namely: the Hungarian method, Vogel approximation method, nearest neighbor method and the Routin route planner which is based on a principle of the Greedy algorithm. At the end of the article, a technical and economical evaluation of the findings is discussed, wherein the individual results of optimization through selected methods are first compared and then, new optimized routes are selected.

The paper presents recommendations determined to assist logistic companies in conceiving an efficient B2B implementation policy with the aim of enhancing market competitiveness, especially in time of intensified market competition. The research is based on an analysis of the situation in B2B implementation during the period of the 2008-2009 economic crisis, where – on a sample of 229 logistic companies based in the Czech Republic – it ascertains whether the extent of B2B implementation changed over this period. This is done in a short-time (2006 vs. 2010) as well as long-time (extended with 2014 vs. 2018) horizon. Although some conclusions are in contradiction with other authors, they state a high extent of B2B implementation, which even further increased over the above economic crisis and even continued in a longer time horizon following the crisis. The conclusions are then analogically transferred to the present 2020 “coronavirus economic recession” and practicable recommendations are formulated. Being made on a high level of reliability, the recommendations have a potential to serve as an efficient tool ensuring economic “survival” of logistic companies, which is – especially in the field of logistics due to the implemented anti-COVID measures creating new trade barriers – very actual.

The study explores the potential use of unmanned aerial vehicles (UAVs) for conducting road traffic surveys, developing, and optimizing a simulation model of a specific intersection in the South Bohemia region to enhance its traffic throughput. Input data on traffic intensity was retrieved by implementing a UAV and processed using the DataFromSky application. The spatial distribution of the intersection was created based on orthophoto images, whereby the AnyLogic software was applied to model traffic mobility behavior. Subsequently, an optimization experiment was conducted, focusing on adjusting the intervals of individual traffic light phases to minimize the mean transit time. Thefindings indicate that the optimization resulted in a reduction in the mean transit time from 48 to 28 seconds, representing a 41.6% streamlining. The study confirms that applying unmanned aerial vehicles and microsimulation optimization tools for mobility surveys and effective urban traffic management is highly beneficial. At the same time, shortening the time when vehicles pass through an intersection is also an aspect of environmental protection, as vehicles spend less time idling and emit fewer pollutants into the environment. In light of the above, there is less congestion at the intersection as well, which results in a positive environmental impact – the lower the traffic intensity at the intersection, the lower the emission of CO2 and NOx.