Publikace

informace pocházejí z univerzitní databáze V3S

Autoři:
Ing. Karel Ječmen; doc. Ing. Denisa Mocková, Ph.D.; doc. Ing. Dušan Teichmann, Ph.D.; Ing. Olga Mertlová, Ph.D.
Publikováno:
2024, Proceedings of the International Scientific Conference, Bratislava, Vydavateľstvo EKONÓM), p. 70-77), ISBN 978-80-225-5144-1
Anotace:
Development of transport infrastructure in the Czech Republic is carried out through the implementation of investment projects that can be financed from several sources. The largest source of funding for the development of transport infrastructure in the Czech Republic is the Operational Programme Transport (OPT), which is the focus of this article. Due to the limited budget of available funds a group of experts is established to decide on the selection of projectsfor implementation. By their selection, the experts decide on the funding of projects only in the following year, even though the OPT has a known budget for up to 7 years. The authors of this article have long been involved in the issue of portfolio selection of transport infrastructure projects. This article extends the issue of project selection to the creation of a schedule for its financing within a defined timeframe which could potentially mean a more efficient development of transport infrastructure in the medium-term time horizon. Authors propose a solution to the problem using a genetic algorithm with a matrix encoding of chromosomes, which represents project selection and year of their financing.
Typ:
Stať ve sborníku z mezinár. konf.

Autoři:
Ing. Karel Ječmen; doc. Ing. Denisa Mocková, Ph.D.; doc. Ing. Dušan Teichmann, Ph.D.
Publikováno:
2024, Mathematics, 12 (19), p. 1-28), ISSN 2227-7390
Anotace:
The development of transport infrastructure is crucial for economic growth, social connectivity, and sustainable development. Many countries have historically underinvested in transport infrastructure, necessitating more efficient strategic planning in the implementation of transport infrastructure investment projects. This article addresses the selection and scheduling of transport infrastructure projects, specifically within the context of utilizing pre-allocated funds within a multi-annual budget investment program. The current decision-making process relies heavily on expert judgment and lacks quantitative decision support methods. We propose a genetic algorithm as a decision-support tool, framing the problem as an NP-hard 0-1 multiple knapsack problem. The proposed genetic algorithm (GA) is unique for its matrix-encoded chromosomes, specially designed genetic operators, and a customized repair operator to address the large number of invalid chromosomes generated during the GA computation. In computational experiments, the proposed GA is compared to an exact solution and proves to be efficient in terms of quality of obtained solutions and computational time, with an average computational time of 108 s and the quality of obtained solutions typically ranging between 85% and 95% of the optimal solution. These results highlight the potential of the proposed GA to enhance strategic decision-making in transport infrastructure development.
DOI:
Typ:
Článek v periodiku excerpovaném SCI Expanded

Autoři:
Ing. Andrea Hrníčková; Ing. Karel Ječmen; Teichmann, D.; doc. Ing. Denisa Mocková, Ph.D.
Publikováno:
2023, Proceedings of the 41st International Conference on Mathematical Methods in Economics, Praha, Česká společnost pro operační výzkum), p. 123-128), ISBN 978-80-11-04132-8, ISSN 2788-3965
Anotace:
There are various types of warehouses in the logistics chain, one of them are production warehouses. These are warehouses, which storage capacity is used to complete product processes before shipping to the customer or to homogenize the qualitative parameters of the material before processing. This process is called refinement. Typical examples of products that go through the refining process can be found in the food and chemical industry, especially fermentation processes in brewing and distilling, or stabilizing chemical processes in cosmetology. These products usually require transportation to the production warehouse immediately after production, where take place storage with a refining process while observing specific, predefined conditions (for example, a certain temperature or humidity in the warehouse). In these conditions, the products must spend the minimum required time, and in most cases the stay in the warehouse must not exceed the maximum defined time, otherwise the final product could deteriorate. These mentioned factors affect not only the quality of the product, but also the financial complexity of the entire process. This paper deals with the application of the linear programming method for the purpose of optimizing the total costs of production, synchronous warehousing process with the refining process and dispatching finished products to customer using a heterogeneous vehicle fleet.
Typ:
Stať ve sborníku z mezinár. konf. cizojazyčně

Autoři:
Ing. Andrea Hrníčková; Ing. Karel Ječmen; doc. Ing. Dušan Teichmann, Ph.D.; doc. Ing. Denisa Mocková, Ph.D.
Publikováno:
2023, Proceedings of the 15 th International Conference on Strategic Management and its Support by Information Systems 2023, Ostrava, VŠB – Technical University of Ostrava, Faculty of Economics), p. 121-130), ISBN 978-80-248-4687-3, ISSN 2570-5776
Anotace:
Storage is one of the many processes that take place within logistics chains. It is a process that primarily generates costs, which is why is important to monitor its going regularly and optimize it if necessary. During optimization, various tasks formulated by one or more optimization criteria are pursued. In the presented paper, two parallel tasks are pursued, which do not occur so often, but which are significant from the point of view of practical applications. The first task is the most efficient utilization of storage space capacity. The second task is to consider the amount of bound capital in the stocks. Based on the defined inputs, three optimization approaches based on mathematical programming suitable for solving the formulated problem are presented in this paper. At the end of this paper, the results of each individual optimization approach are compared with each other, and recommendations for the client are formulated.
Typ:
Stať ve sborníku z prestižní konf. (Scopus)

Autoři:
Ing. Daniel Pilát; Ing. Karel Ječmen; Ing. Andrea Hrníčková; doc. Ing. Dušan Teichmann, Ph.D.; doc. Ing. Denisa Mocková, Ph.D.
Publikováno:
2023, Proceedings of the 15th International Scientific Conference COMPETITION, Jihlava, Vysoká škola polytechnická Jihlava), p. 180-190), ISBN 978-80-88064-71-8, ISSN 2788-0605
Anotace:
Rozsah a kvalita dopravní infrastruktury má signifikantní dopad na rozvoj společnosti a kvalitu života, zejména pak v oblasti ekonomického rozvoje a zvýšení konkurenceschopnosti. Pro dosažení těchto efektů je třeba investovat značné finanční prostředky do výstavby a modernizace formou realizace investičních projektů dopravní infrastruktury. Výše prostředků určených pro tyto investiční projekty je však zpravidla nižší než náklady na realizaci všech připravovaných staveb, a proto je nutné přistupovat k výběru pouze některých investičních projektů k jejich následné realizaci. Tento výběr musí probíhat tak, aby realizované investiční projekty splňovaly požadavky definované dopravní politikou a pravidly investičních fondů, kde přínosy projektů jsou reprezentovány definovanými indikátory. Za účelem nalezení vyhovujícího rozdělení plnění indikátorů je potom v praktických úlohách často opakováno řešení výběru portfolia se změnou vstupních podmínek. Cílem příspěvku je prezentace možnosti optimalizace portfolia investičních projektů dopravní infrastruktury pomocí přístupu založeného na agregaci optimalizačních kritérií v kombinaci s transformací části optimalizačního kritéria na omezující podmínky. Pomocí tohoto postupu je umožněno zadavateli ovlivnit plnění sledovaných indikátorů apriorními i aposteriorními preferenčními požadavky za účelem dosažení požadovaného rozložení.
Typ:
Stať ve sborníku z mezinár. konf. česky

Autoři:
Ing. Karel Ječmen; doc. Ing. Dušan Teichmann, Ph.D.; doc. Ing. Denisa Mocková, Ph.D.; Ing. Olga Mertlová, Ph.D.; Ing. Daniel Pilát
Publikováno:
2023, Proceedings of the 41st International Conference on Mathematical Methods in Economics, Praha, Česká společnost pro operační výzkum), p. 166-173), ISBN 978-80-11-04132-8, ISSN 2788-3965
Anotace:
Along with the development of the society, emphasis is placed on the moderniza-tion and development of quality transport infrastructure. Investing in infrastructure is implemented using investment projects, which are financed in the vast majority from public sources. The amount of the available budget is usually lower than the amount of funds needed to implement all the projects being prepared, and therefore it is necessary to select a portfolio of investment projects for implementation. Dur-ing the selection process, indicators representing the quantified societal benefits re-sulting from the implementation of projects, as well as their financial demands and the available budget, are assessed. However, the selection is carried out in the initial phase of the preparation of investment projects, and due to the preparation period of several years, the implementation takes place in a few years. The development of the economic situation has been very turbulent and fluctuating in recent years, while the situation at the time of project implementation often does not correspond to the expected market development in the initial phase of project preparation. As a result, the amount of financial indicators and the estimated available budget at the time of implementation are significantly different than what was assumed during the selection. This can have a negative effect on the output of the optimization of the selection of the project portfolio from the point of view of fulfilling the overall societal benefit. The aim of the article is to present an approach to optimizing the selection of a portfolio of transport infrastructure investment projects for implementation, includ-ing elements of uncertainty in the area of the available budget and the estimated amount of funds needed to implement individual investment projects. Uncertainty is modeled using fuzzy logic, and the goal of optimization is to maximize the cumu-lative value of social benefits represented by monitored indicators.
Typ:
Stať ve sborníku z mezinár. konf. cizojazyčně

Autoři:
Ing. Karel Ječmen; Ing. Daniel Pilát; doc. Ing. Dušan Teichmann, Ph.D.; doc. Ing. Denisa Mocková, Ph.D.; Ing. Olga Mertlová, Ph.D.
Publikováno:
2023, Proceedings of the 15 th International Conference on Strategic Management and its Support by Information Systems 2023, Ostrava, VŠB – Technical University of Ostrava, Faculty of Economics), p. 176-184), ISBN 978-80-248-4687-3, ISSN 2570-5776
Anotace:
The quality of the transport infrastructure has a significant influence on the development of the society, especially in the area of the economy growth. In our conditions, it is necessary to further develop and modernize the infrastructure. For this purpose investment projects are prepared by state management authorities. However, the financial value of all planned transport infrastructure investment projects is usually higher than the available budget, and it is therefore necessary to approach the selection of a portfolio of projects for implementation. The selected projects must meet not only the amount of the budget, but also the requirements arising from the transport policy and the rules of the investment funds represented by the required indicators. In the tasks of optimizing the portfolio of projects, in practice, it is often approached to repeat the selection of the portfolio with modification of the input conditions so that the distribution of the performance of the indicators more closely meets the expert requirements. This can be better solved using evaluation methods, the application of which is, however, lacking in the selection of the project portfolio. The aim of the article is to present a solution to the task of optimizing the selection of a portfolio of transport infrastructure investment projects using the STEM method. This interactive method based on the alternation of computing and decision-making phases enables the application of expert requirements during the calculation in order to find the optimal solution in cases where not all combinations of fulfilment of the monitored indicators are known in advance.
Typ:
Stať ve sborníku z prestižní konf. (Scopus)

Autoři:
Ing. Karel Ječmen; Ing. Daniel Pilát; doc. Ing. Dušan Teichmann, Ph.D.; Ing. Olga Mertlová, Ph.D.
Publikováno:
2022, QUANTITATIVE METHODS IN ECONOMICS (Multiple Criteria Decision Making XXI), Bratislava-Nové Mesto, Letra Edu), p. 119-124), ISBN 978-80-89962-93-8
Anotace:
Financial needs of the prepared transport infrastructure investment projects are generally very high and exceed the available budgets. Therefore, it is necessary to set the selection process to find a project portfolio to be proposed for realization. Due to the significant socio-economic impact of transport infrastructure investments, the selection of projects for realization is a crucial decision-making step at the level of the central state authorities. The article compares two approaches to mathematical programming, which can contribute to the optimization of the portfolio of transport infrastructure investment projects to be financed. Optimization of the selection aims at the maximization of the benefits of the projects and the efficient use of allocated funds. The paper focuses on the differences in application of the use of the linear and goal programming models and compares the outputs of both optimization approaches.
Typ:
Stať ve sborníku z prestižní konf.

Autoři:
Ing. Daniel Pilát; Ing. Karel Ječmen; doc. Ing. Dušan Teichmann, Ph.D.; Ing. Olga Mertlová, Ph.D.
Publikováno:
2022, MME2022 : Proceedings of the 40th International Conference on Mathematical Methods in Economics, Jihlava, Vysoká škola polytechnická Jihlava), p. 280-285), ISBN 978-80-88064-62-6
Anotace:
Transport infrastructure investment projects are usually very costly and time consuming. The limited capacity of resources does not allow the implementation of all prepared projects at the same time; therefore it is necessary to select a portfolio of projects for implementation. The selection must be made in such a way that not only the requirements of transport policy are met, but also the rules of the investment funds from which the projects are financed. The quality of the selected project portfolio is crucial due to their significant socio-economic impacts represented by indicators representing the usefulness of the buildings in the effective use of available funds. The aim of optimization is to minimize the maximal negative deviations from the minimum values of indicators representing the degree of non-fulfilment. The article presents one of the possible approaches to solving this problem based on linear programming with the addition of a cascade approach providing improved results.
Typ:
Stať ve sborníku z prestižní konf.