Application of a methodology based on the Theory of Constraints in the sector of tourism services

Reyner Pérez Campdesuñer, Milagros Pérez Pravia, Alexander Sánchez Rodríguez, Gelmar García Vidal, Rodobaldo Martínez Vivar

Abstract


Purpose: The objective of the research was aimed at achieving the implementation of the theory of constraints on the operating conditions of a hotel, which differs by its characteristics of traditional processes that have applied this method, from the great heterogeneity of resources needed to meet the demand of customers.

Design/methodology/approach: To achieve this purpose, a method of generating conversion equations that allowed to express all the resources of the organization under study depending on the number of customers to serve facilitating comparison between different resources and estimated demand through techniques developed traditional forecasting, these features were integrated into the classical methodology of theory of constraints.

Findings: The application of tools designed for hospitality organizations allowed to demonstrate the applicability of the theory of constraints on entities under conditions different from the usual, develop a set of conversion equations of different resources facilitating comparison with demand and consequently achieve improve levels of efficiency and effectiveness of the organization.

Originality/value: The originality of the research is summarized in the application of the theory of constraints in a very different from the usual conditions, covering 100% of the processes and resources in hospitality organizations.


Keywords


Theory of constraints, supply chain, logistics decisions, processes management, hospitality organizations

Full Text:

PDF


DOI: http://dx.doi.org/10.3926/jiem.2089


Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License

Journal of Industrial Engineering and Management, 2008-2017

Online ISSN: 2013-0953; Print ISSN: 2013-8423; Online DL: B-28744-2008

Publisher: OmniaScience