Modelling Customer’s Satisfaction at Portofino Eatery Ado-Ekiti Using Queuing Theory

Main Article Content

O. A. Adewusi
K. A. Adigun
A. O. Adigun

Abstract

This study evaluated the queuing system in Portofino Eatery- Bread section with a view to determine its operating characteristics and to
improve customers’ satisfaction during waiting time using the lens of queuing theory. The model of operation was detected to be M/M/s
model while the arrival rate, service rate, utilization rate and waiting time in the queue were derived. Data was collected by direct
observation at the Portofino Eatery service facility, Ado – Ekiti. The arrival rate (λ) at Portofino Eatery- Bread section was about 43
customers per hour, while the service rate was about 40 customers per hour for each server. The system includes four different servers.
The average number of customers in the system in an hour window was 43 customers with a utilization rate of 0.722. This research work
concludes with a discussion on the benefits of performing queuing analysis to a restaurant. In order to avoid congestion and reduce
customer’s waiting time, increase patronage and boost customer’s confidence in Portofino eatery service delivery.

Article Details

How to Cite
Adewusi, O. A., Adigun, K. A., & Adigun, A. O. (2022). Modelling Customer’s Satisfaction at Portofino Eatery Ado-Ekiti Using Queuing Theory. ABUAD International Journal of Natural and Applied Sciences, 2(1), 42–48. https://doi.org/10.53982/aijnas.2022.0201.05-j
Section
Articles

References

Andrews, B. and Parsons, H. (1993). Establishing telephone-agent staffing levels through economic optimization. Interfaces, 23:14-20.

Auty, S. (1992). Consumer choice and segmentation in the restaurant industry. The Service Industries Journal, 12(3):324-339.

Brann, D. M .and Kulick, B. C. (2002). Simulation of restaurant operations using the restaurant modeling studio. Proceedings -Winter Simulation Conference 2002. IEEE pp. 1448-1453.

Chowdhurry, S. R. (2013). Queuing theory model is used to solve the waiting line of a bank. Asian Journal of Social Sciences and Humanities, 2(3): 468- 478.

Cooper, R. B. (1990). Queueing theory, in D. P. Heyman, M. J. Sobel (eds.), Handbooks in OR & MS, VoL 2: Stochastic Models, North-Holland, Amsterdam, pp. 469-518.

Curin, S. A., Vosko, J. S., Chan, E. W. and Tsimhoni, O. (2005). Reducing service time at a busy fastfood restaurant on campus. Proceedings -Winter Simulation Conference 2005, 8pp.

Dharmawirya, M.and Adi, E. (2011). Case study for restaurant queuing model. International Conference on Management and Artificial Intelligence, 6: 52-55.

Jones, P. and Dent, M. (1994). Improving service: managing response time in hospitality operations. International Journal of Operation and Production Management, 14: 52-58.

Kavitha, J.and Palaniammal, S. (2014). Efficient path selection and data transmission using queue in open shortest path first. International Journal of Computer Science and Application, 3(4):139-144.

www. Jiwaji.edu –What is Queuing Theory.

www. Investopedia.com – Queuing Theory definition.