Seminar for
DECISION MAKING – THEORY, TECHNOLOGY AND PRACTICE

 

PROGRAM

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Plan rada Seminara Odlučivanje - teorija, tehnologija, praksa za SEPTEMBAR 2024.

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Četvrtak, 05.09.2024. u 13:00, Pariske Komune bb, Niš i Online
Sanja Stevanović, Mathematical Institute of the Serbian Academy of Sciences and Arts
URBAN TRANSFORMATION OF AMBROŽEV TRG IN LJUBLJANA: ANALYSIS OF VEHICLE AND PEDESTRIAN MOVEMENT USING SPACE SYNTAX APPROACH
Research has confirmed the existence of correlation between the spatial configuration of street networks and the movement of pedestrians and vehicles. Space syntax is a set of theories that adjoin graphs to spatial architectural and urban configurations, and enable one to compare different spatial configurations based on the mathematical properties of associated graphs. The use of these methods is illustrated here on the example of proposed pedestrian-friendly reconstruction of Ambrožev trg in Ljubljana.

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Četvrtak, 19.09.2024. u 13:00, Online
Una Stanković, Mathematical Institute of the Serbian Academy of Sciences and Arts
TOOLS FOR TEXT PROCESSING AND THE ADVANTAGES OF USING NEW TECHNOLOGIES
New tools and technologies enable everyone, particularly scientists, to handle repetitive or time-consuming tasks more efficiently if they can be automated. The lecture will showcase a small text processing tool that uses the NLTK library to recognize word types from sentences. This tool facilitates the analysis of large text corpora and consolidates results for a comprehensive overview of a specific text set. Besides a brief demonstration, the session will cover the application's structure, popular text processing libraries, and the benefits of using modern technologies and tools.

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Četvrtak, 26.09.2024. u 13:00, Online
Carlos Alberto Franco, School of Management and Business, Universidad del Rosario, Bogotá - Colombia
A QUEUEING NETWORK APPROACH FOR CAPACITY PLANNING AND PATIENT SCHEDULING: A CASE STUDY FOR THE COVID-19 VACCINATION PROCESS IN COLOMBIA
This paper considers the problem of patient scheduling and capacity planning for the vaccination process during the COVID-19 pandemic [1]. The proposed solution is based on a non-linear mathematical modeling approach representing the dynamics of an open Jackson Network and a Generalized Network [2]. To test these models, we proposed three objective functions and analyzed different configurations of the process corresponding to various levels of the models’ parameters as well as the conditions present in the case study [3]. To assess the computational performance of the models, we also experimented with larger instances in terms of number of steps or stations used and number of patients scheduled. The computational results show how parameters such as the minimum percentage of patients served, the maximum occupation allowed per station and the objective functions used have an impact on the configuration of the process. The proposed approach can support the decision-making process in vaccination centers to efficiently assign human and material resources to maximize the number of patients vaccinated while ensuring reasonable waiting times, number of patients in queue and servers’ utilization rates, which in turn are key to avoid overcrowding and other negative conditions in the system that could increase the risk of infections.

1. https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/vaccination-policy
2. https://www.sciencedirect.com/topics/mathematics/mathematical-modeling
3. https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/case-study

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Predavanja su namenjena sirokom krugu slusalaca, ukljucujuci studente redovnih i doktorskih studija. Seminar će se održavati svakog drugog četvrtka od 13:00 - 14:00^h, CIITLAB, Elektronski fakultet Niš, Aleksandra Medvedeva 14, Niš

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