Pregled bibliografske jedinice broj: 819112
Discrete-Event Simulation Model of Customer Support Service in Telecommunications
Discrete-Event Simulation Model of Customer Support Service in Telecommunications // Proceedings of the 13th International Symposium on Operational Research SOR'15 in Slovenia / Zadnik Stirn, L ... [et al.] (ur.).
Ljubljana: Narodna in univerzitetna knjižnica u Ljubljani, 2015. str. 514-519 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 819112 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Discrete-Event Simulation Model of Customer Support Service in Telecommunications
Autori
Majić, Andrea ; Has, Adela ; Zekić-Sušac, Marijana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 13th International Symposium on Operational Research SOR'15 in Slovenia
/ Zadnik Stirn, L ... [et al.] - Ljubljana : Narodna in univerzitetna knjižnica u Ljubljani, 2015, 514-519
ISBN
978-961-6165-45-7
Skup
Proceedings of the 13th International Symposium on Operational Research SOR'15 in Slovenia, Bled, September 23 - 25, 2015
Mjesto i datum
Bled, Slovenija, 23.09.2015. - 25.09.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
discrete-event simulation ; modeling ; queues ; business processes
Sažetak
The objective of this paper is to create a simulation model for customer service in the telecommunication sector with the aim of identifying problems and reducing waiting time and queues. The model is based on discrete- event simulation and uses triangular and normal random distribution functions in modeling business processes. The data for the model is obtained by interviewing employees of a large Croatian telecommunication company. The activity cycle diagram was built showing the flow of business processes, and life cycles for all types of entities that exist in the model. After the simulation model is created and ran in a number of iterations, the simulation results are used to determine expected waiting time, size of queues in two departments, the cost, and the utilization of resources. A what- if analysis is conducted to propose possible improvements of the business processes. The model can serve as a support in making operational decisions in customer relationship management.
Izvorni jezik
Engleski