We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Evaluating and Forecasting Room Demand in Tourist Spot using Holt-Winters Method

by C. Premila Rosy, R. Ponnusamy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 172 - Number 2
Year of Publication: 2017
Authors: C. Premila Rosy, R. Ponnusamy
10.5120/ijca2017915072

C. Premila Rosy, R. Ponnusamy . Evaluating and Forecasting Room Demand in Tourist Spot using Holt-Winters Method. International Journal of Computer Applications. 172, 2 ( Aug 2017), 22-25. DOI=10.5120/ijca2017915072

@article{ 10.5120/ijca2017915072,
author = { C. Premila Rosy, R. Ponnusamy },
title = { Evaluating and Forecasting Room Demand in Tourist Spot using Holt-Winters Method },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2017 },
volume = { 172 },
number = { 2 },
month = { Aug },
year = { 2017 },
issn = { 0975-8887 },
pages = { 22-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume172/number2/28223-2017915072/ },
doi = { 10.5120/ijca2017915072 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:19:15.211643+05:30
%A C. Premila Rosy
%A R. Ponnusamy
%T Evaluating and Forecasting Room Demand in Tourist Spot using Holt-Winters Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 172
%N 2
%P 22-25
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Economic system of any field trend to be dynamic which sometimes leads to fault promotion and worst decision and costly in financial terms. This challenge in financial terms forecasting is highly adopted in many industry. The uncertainty in economic variable is evaluated by instrumental activities in organization. In this research by Holt - Winter method is applied for hotel industry to forecast the room availability. The problem in forecast is based on arrival day room demand may vary which leads to uncertainty. Forecasting is useful widely for hotel management in terms of revenue and provides excellent decision making system for customer and demand. Forecasting method used in this research is quantitative method and does not involves management expertise. Results illustrate forecasting mechanism based on actual data collected from hotel.

References
  1. Cross, R. G., Higbie, J. A., & Cross, Z. N. (2011). Milestones in the application of analytical pricing and revenue management. Journal of Revenue and Pricing Management, 10(1), 8-18.
  2. Bitran, G. R., & Gilbert, S. M. (1996). Managing hotel reservations with uncertain arrivals. Operations Research, 44(1), 35-49.
  3. Bitran, G. R., & Mondschein, S. V. (1995). An application of yield management to the hotel industry considering multiple day stays. Operations research, 43(3), 427-443.
  4. Ladany, S. P. (1976). Dynamic operating rules for motel reservations. Decision Sciences, 7(4), 829-840.
  5. Montgomery, D. C., Johnson, L. A., & Gardiner, J. S. (1990). Forecasting and time series analysis. McGraw-Hill Companies.
  6. Harvey, A. C. (1993). Time Series Models MIT Press. Cambridge, Massachusetts, USA.
  7. Akaike, H. (1976). Canonical correlation analysis of time series and the use of an information criterion. Mathematics in Science and Engineering, 126, 27-96.
  8. Disney, S. M., & Lambrecht, M. R. (2008). On replenishment rules, forecasting, and the bullwhip effect in supply chains. Foundations and Trends庐 in Technology, Information and Operations Management,2(1), 1-80.
  9. Chatfield, C. (2016). The analysis of time series: an introduction. CRC press.
  10. Chatfield, C. (1978). The holt-winters forecasting procedure. Applied Statistics, 264-279.
  11. Harvey, A. C. (1990). Forecasting, structural time series models and the Kalman filter. Cambridge university press.
  12. Rajopadhye, M., Ghalia, M. B., Wang, P. P., Baker, T., & Eister, C. V. (2001). Forecasting uncertain hotel room demand. Information Sciences, 132(1), 1-11.
Index Terms

Computer Science
Information Sciences

Keywords

Forecasting Hotel rooms Holt - Winter Method