Hotel Housekeeper Scheduling Problem with Time Windows
Keywords:
Hotel Industry, Housekeeper Scheduling, Mathematical ModelAbstract
This research focuses on hotel housekeeper scheduling problem. Such scheduling requires consideration of several factors including budget, operational standards, number of rooms, and uncertain room’s time windows that make the hotel unable to manage resources efficiently. Therefore, this study aims to minimize total labor costs of housekeepers from the cleaning schedule under time windows. A mixed integer linear programming is developed and compared with the constructive heuristic in 7 instances. The results show that proposed mixed integer linear programming is efficient in solving problems, they could improve the solution quality by 14.62%, 18.20%, 14.92%, 1.66%, 14.10%, 7.51%, and 22.47%, and the computational time is faster than the constructive heuristic for 5 out of 7 instances.
References
Economics Tourism and Sports Division. Executive Summary: Tourism situation in October 2021 [Internet]. 2021 [updated 2021 Oct; cited 2021 Dec 6]. Available from: https://www.mots.go.th/download/article/article_20211125163920.pdf
Lunkam P. Business/Industry Outlook 2021-2023: Hotel Business [Internet]. 2021 [updated 2021 Feb 24; cited 2021 Dec 6]. Available from: https://www.krungsri.com/th/research /industry/summary-outlook/industry-summary-outlook-2021-2023
Akkachotikul P. Factors affecting the decision-making in choosing daily hotel accommodation among Thai tourists in Muang District, Chiang Mai Province [Master]. Pathum Thani: Thammasat University; 2014.
Rukmuncharoen C. Factors which influencing the hotel and resort accommodation decision of thai tourists in the area of economic zone, Mae sai, Chiangrai [Master]. Pathum Thani: Thammasat University; 2015.
Chantima H. A study of self-development needs of hotel housekeeper in the Northeastern Region of Thailand. WMS Journal of Management 2018; 7(3): 89-98. Thai.
Bankoed P. Hotel budgeting: case study a resort-style hotel in Bangkok [Master]. Pathum Thani: Thammasat University; 2018.
Chen Y, Lu W. Minimizing total earliness and tardiness through unrelated parallel machine scheduling using distributed release time control. Journal of Manufacturing Systems 2017; 42: 1-10.
Sethanan K, Wisittipanich W, Wisittipanit N, Nitisiri K, Moonsri K. Integrating scheduling with optimal sublot for parallel machine with job splitting and dependent setup times. Computers & Industrial Engineering 2019; 137(1): 1-9.
Kusoncum C, Sethanan K, Pitakaso R, Harti FR. Heuristics with novel approaches for cyclical multiple parallel machine scheduling in sugarcane unloading systems. International Journal of Production Research 2020; 58(1): 1-19.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 KKU Research Journal (Graduate Studies)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
