Purpose: This study aims to analyze how different room-committing practices affect the occupancy and profitability of hotels and it critically reviews the role of minimum-length-of-stay (MLOS) requirements given these findings. Design/methodology/approach: The approach uses statistical analysis of simplified contexts to develop understanding, and simulations of more complex situations to confirm the relevance in realistic contexts. Findings: The study demonstrates that proper solutions of the room-committing problem improve occupancy and profitability, in particular, for hotels working in high-season and high-occupancy situations. Smart committing algorithms diminish the role of MLOS requirements. More demand can be accepted without sacrificing late-arriving long reservations. Originality/value: To the best of the authors’ knowledge, this work, building upon a previous one cited in this paper, is the first to rigorously study the room-committing problem and to demonstrate its relevance in practical situations and its implications on MLOS rules.
RoomTetris in room committing: why the role of minimum-length-of-stay requirements should be revisited / Battiti, R.; Brunato, M.; Battiti, F.. - In: INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT. - ISSN 0959-6119. - STAMPA. - 33:11(2021), pp. 4017-4034. [10.1108/IJCHM-11-2020-1364]
RoomTetris in room committing: why the role of minimum-length-of-stay requirements should be revisited
Battiti R.;Brunato M.;
2021-01-01
Abstract
Purpose: This study aims to analyze how different room-committing practices affect the occupancy and profitability of hotels and it critically reviews the role of minimum-length-of-stay (MLOS) requirements given these findings. Design/methodology/approach: The approach uses statistical analysis of simplified contexts to develop understanding, and simulations of more complex situations to confirm the relevance in realistic contexts. Findings: The study demonstrates that proper solutions of the room-committing problem improve occupancy and profitability, in particular, for hotels working in high-season and high-occupancy situations. Smart committing algorithms diminish the role of MLOS requirements. More demand can be accepted without sacrificing late-arriving long reservations. Originality/value: To the best of the authors’ knowledge, this work, building upon a previous one cited in this paper, is the first to rigorously study the room-committing problem and to demonstrate its relevance in practical situations and its implications on MLOS rules.File | Dimensione | Formato | |
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