Abstract
This research deals with studding the optimization, economic feasibility and legal factors of ticket service system implementation. Two models were building, the first one consisting only of Abendkassa ticket selling and the second includes both Abendkassa and Tageskassa to have a model with multiple servers. To sum up, a quality management system with time optimization can be considered. Multiple-servers are definitely in their favour, because of a lower waiting time and more satisfied customers. This analysis demonstrates the ticket sellers should assess the situation, meaning waiting time and/or queue, and adjust their behavior accordingly. To improve the server activity and prevent system overload, multiple servers can be used, meaning that multiple box offices should be used. Developed models show how analyzing the waiting time and the queue could help to improve customer satisfaction.
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References
Chen, M., Jin, X., Wang, Y., Cheng, X., Min, G.: Modelling priority queuing systems with varying service capacity. Front. Comp. Sci. 7(4), 571–582 (2013)
Scopus, https://www.scopus.com/
Pasyeka, M., Malitchuk, A.: Software implementation of movie ticket booking system. art. no. 9468015, pp. 53–56 (2021). https://doi.org/10.1109/PICST51311.2020.9468015
Guo, D., Li, M., Ling, S., Zhong, R.Y., Rong, Y., Huang, G.Q.: Synchronization-oriented reconfiguration of FPAI under graduation intelligent manufacturing system in the COVID-19 pandemic and beyond. 60, 893–902 (2021). https://doi.org/10.1016/j.jmsy.2021.05.017
Islam, G.Z., Zinnia, I.J., Hossain, M.F., Rahman, M.R., Juman, A.U., Emran, A.N.: Implementation of an efficient web-based movie ticket purchasing system in the context of Bangladesh. 19(2), 828–836 (2020). https://doi.org/10.11591/ijeecs.v19.i3
Sanz Maroto, J., Liu, H., Patras, P.: On the struggle bus: a detailed security analysis of the m-tickets App., 12472 LNCS, pp. 234–252 (2020). https://doi.org/10.1007/978-3-030-62974-8_14
Rababah, B., Eskicioglu, R.: Distributed intelligence model for IoT applications based on neural networks. Int. J. Comp. Netw. Inf. Secur. (IJCNIS) 13(3), 1–14 (2021). https://doi.org/10.5815/ijcnis.2021.03.01
Yu, J.L., Ng, K.H., Liong, Y.L., Hanafi, E.: IoT based cloud-integrated smart parking with e-payment service, 1229 AISC, pp. 405–414 (2020). https://doi.org/10.1007/978-3-030-52246-9_30
Kuznetsov, A., Oleshko, I., Tymchenko, V., Lisitsky, K., Rodinko, M., Kolhatin, A.: Performance analysis of cryptographic hash functions suitable for use in blockchain. Int. J. Comp. Netw. Inf. Secur. (IJCNIS) 13(2), 1–15 (2021). https://doi.org/10.5815/ijcnis.2021.02.01
Parihar, M., Dasari, N.: Using intelligent communication system (ICT) to solve a problem of enroute confirmation of wait listed tickets in Indian Railways, art. no. 8969018, pp. 288–291 (2019). https://doi.org/10.1109/ICCT46177.2019.8969018
Glushko, D.N., Yanovsky, F.J.: Analysis of differential Doppler velocity for remote sensing of clouds and precipitation with dual-polarization S-band radar. Int. J. Microw Wireless Technol. 2(3–4), 391–398 (2010). https://doi.org/10.1017/S1759078710000504
Fabbiani, E., Nesmachnow, S., Toutouh, J., Tchernykh, A., Avetisyan, A., Radchenko, G.: Analysis of mobility patterns for public transportation and bus stops relocation. 44(6), 508–525 (2018). https://doi.org/10.1134/S0361768819010031
Meza, J., Veeraraghavan, K., Xu, T., Mutlu, O.: A large scale study of data center network reliability, pp. 393–407 (2018). https://doi.org/10.1145/3278532.3278566
Wongsakthawom, R., Limpiyakorn, Y.: Development of IT Helpdesk with Microservices, art. no. 8473557, pp. 31–34 (2018). https://doi.org/10.1109/ICEIEC.2018.8473557
Godse, N.A., Deodhar, S., Raut, S., Jagdale, P.: Implementation of Chatbot for ITSM application using IBM Watson, art. no. 8697411 (2018). https://doi.org/10.1109/ICCUBEA.2018.8697411
Buranasaksee, U., Porkaew, K., Supasitthimethee, U.: Ticket model: a generalised model for internet-based three-party authorisation systems. 8(4), 159–168 (2014). https://doi.org/10.1504/IJIPT.2014.068250
Baía, A., Ferreira, J., Filipe, P., Cunha, G.: Android as a cloud ticket validator, art. no. 6701466, pp. 1–7 (2013). https://doi.org/10.1109/CUBE.2013.11
Lubieniecka-Kocoń, K., Kos, B., Kosobucki, Ł., Urbanek, A.: Modern Tools of Passenger Public Transport Integration. 395 CCIS, 2013, pp. 81–88. https://doi.org/10.1007/978-3-642-41647-7_11
Kadar, C., Wiesmann, D., Iria, J., Husemann, D., Lucic, M.: Automatic classification of change requests for improved IT service quality, art. no. 5958118, pp. 430–439, 2011. https://doi.org/10.1109/SRII.2011.95
Currie, C., Lu, L.: Modelling server usage for online ticket sales. In: Proceedings of the 2011 Winter Simulation Conference, pp.752–760, 2011
Ding, D., Ou, J., Ang, J.: Analysis of ticket queues with reneging customers. J. Oper. Res. Soc. 66(2), 231–246 (2015)
Walker, J., Lech, R., Van Luchene, A., Sparico, T., Jorasch, J., Schneier, B.: Conditional purchase offer management system for event tickets. US 6,240,396B1 (2001)
Xian, T., Hong, C., Hawari, N.: Modeling and simulation of queuing system for customer service improvement: a case study. AIP Conference Proceedings (2016)
Phung-Duc, T., Masuyama, H., Kasahara, S., Takahashi, Y.: M/m/3/3 and m/m/4/4 retrial queues. J. Ind. Manage. Optim. 5(3), 431 (2009)
Kim, Y.C.: On M/M/3/3 retrial queueing system. Honam Math. J. 17(1), 141–147 (1995)
Wang, T.Y., Ke, J.C., Wang, K.H., Ho, S.C.: Maximum likelihood estimates and confidence intervals of an M/M/R queue with heterogeneous servers. Math. Methods Oper. Res. 63(2), 371 (2006)
Alakbarov, R.: Challenges of mobile devices’ resources and in communication channels and their solutions. Int. J. Comp. Netw. Inf. Secur. (IJCNIS) 13(1), 39–46 (2021). https://doi.org/10.5815/ijcnis.2021.01.04
Grzelak, M., Napierała, Ł., Napierała, Ł., Karovič, V., Ivanochko, I.: Bus ticket reservation system—agile methods of projects management. In: Barolli, L., Nishino, H., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems (INCoS 2019), Advances in Intelligent Systems and Computing, vol. 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-29035-1_48
Molnár, E., Molnár, R., Kryvinska, N., Greguš, M.: Web intelligence in practice. Soc. Serv. Sci., J. Serv. Sci. Res. 6(1), 149–172 (2014)
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Ferenc, JS., Urikova, O., Huber, V., Kirov, A., Sai, L., Matte, R. (2022). Optimization, Economic Feasibility and Legal Factors of Ticket Service System Implementation. In: Kryvinska, N., Greguš, M. (eds) Developments in Information & Knowledge Management for Business Applications. Studies in Systems, Decision and Control, vol 421. Springer, Cham. https://doi.org/10.1007/978-3-030-97008-6_25
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