A method of generating customer requests in a car rental simulation model

• Autorzy: Matyja Tomasz , Stanik Zbigniew , Włodkowski Krzysztof

Identyfikatory

DOI

10.20858/sjsutst.2024.123.9

• Języki publikacji: EN

Abstrakty

EN

Optimization of business processes and policies in a car rental company is an ongoing topic. Especially that each of these companies operates in slightly different local conditions and external environments. Testing new optimization algorithms is best done with simulation methods. A comprehensive rental simulation model can be built, for example, using the SimEvents library of the Matlab/Simulink environment. The paper focuses on the problem of preparing a sequence of customer requests in the short-term car rental system, necessary to carry out simulations in the SimeEvents environment. It was assumed that these data may come from the real world, or they may also be artificial data. A method of generating artificial sequences of customer requests and the structure of input data necessary to carry out this process have been proposed. The use of machine learning to build models that transform real data in such a way that it can be randomized was also tested.

Słowa kluczowe

EN

short-term car rental; client’s requests; machine learning; SimEvents

PL

krótkoterminowy wynajem samochodów; życzenia klienta; uczenie maszynowe; SimEvents

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2024
• Tom: z. 123
• Strony: 191--208
• Opis fizyczny: Bibliogr. 15 poz.

Twórcy

autor

Matyja Tomasz

• Faculty of Transport and Aviation Engineering, The Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland

• https://orcid.org/0000-0001-6364-619X

autor

Stanik Zbigniew

• Faculty of Transport and Aviation Engineering, The Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland

• https://orcid.org/0000-0003-1965-4090

autor

Włodkowski Krzysztof

• MM Cars Renta Sp. z o.o., Lotnisko 81 Street, 40-271 Katowice

• https://orcid.org/0009-0001-0063-3233

Bibliografia

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