An overview of revenue management and dynamic pricing models in hotel business

2018 ◽  
Vol 52 (1) ◽  
pp. 119-141 ◽  
Author(s):  
Andrei M. Bandalouski ◽  
Mikhail Y. Kovalyov ◽  
Erwin Pesch ◽  
S. Armagan Tarim

Basic concepts and brief description of revenue management models and decision tools in the hotel business are presented. An overview of the relevant literature on dynamic pricing, forecasting methods and optimization models is provided. The main ideas of the authors’ customized revenue management method for the hotel business are presented.

2018 ◽  
Vol 71 ◽  
pp. 36-44 ◽  
Author(s):  
Qiong Tian ◽  
Li Yang ◽  
Chenlan Wang ◽  
Hai-Jun Huang

OR Spectrum ◽  
2006 ◽  
Vol 29 (1) ◽  
pp. 61-83 ◽  
Author(s):  
Darius Walczak ◽  
Shelby Brumelle

1990 ◽  
Vol 27 (04) ◽  
pp. 237-249
Author(s):  
Anastassios N. Perakis ◽  
Bahadir Inozu

Some essential steps for the application of reliability, availability, and maintainability (RAM) techniques to marine diesel engines are presented. The paper begins with a summary of the basic concepts of reliability engineering, followed by a survey of the relevant literature on RAM applications to the marine industry and to marine diesel engines in particular. Next, the results of an informal survey of the reliability, maintenance, and replacement practices of Great Lakes operators are presented. Finally, the first two steps for a RAM application, failure modes and effects analysis and fault tree analysis, are introduced and applied for a prototype Colt-Pielstick marine diesel engine.


2019 ◽  
Vol 58 (2) ◽  
pp. 221-238
Author(s):  
Naceur Jabnoun

Purpose The purpose of this paper is to develop an excellence model that combines noble ends and noble means to achieve sustainable business excellence (SBE). Design/methodology/approach The general framework of existing excellence models is used to develop the new model. Relevant literature on business excellence and current business and economic trends such as constructive capitalism, conscious capitalism, shared value, values-driven organizations and corporate governance are used to develop the basic concepts of the model. The criteria and the assessment method of the model are then developed based on the basic concepts. Findings This paper proposes a model for SBE. This model is aligned with conscious capitalism, constructive capitalism, shared value, values-driven organizations and corporate governance. The paper includes a comparison between this model and the most popular excellence models. Research limitations/implications This paper paves the way for more empirical and theoretical research on stakeholders’ business excellence models. Practical implications This model can be adopted by different national and international excellence awards. The adoption of this model can improve the benefits of shareholders, partners, customers, employees and the society at large. Implementing this model may be effective in transferring knowledge about conscious capitalism, values-driven organization and corporate governance to corporations worldwide. Social implications This may contribute to protecting the environment and reducing economic inequalities that have caused political and social instability. Originality/value Excellence models have been widely used with significant success all over the world. Although these models paid attention to customers and employees, they still reflect traditional capitalism that focuses on shareholders’ value. This model is aligned to new economic trends that foster sustainability and improve benefits of all stakeholders.


2020 ◽  
Vol 11 (2) ◽  
pp. 667
Author(s):  
Laura UNGUREANU ◽  
Madalina CONSTANTINESCU ◽  
Cristina POPÎRLAN

Many mathematical models have been developed in the last years in order to analyze economic phenomena and processes. Some of these models are optimization models, static or dynamic, while others are developed specially to study the evolution of economic phenomena. The topic of this paper is forecasting with nonlinear models. A few well-known nonlinear models are introduced, and their properties are discussed. The variety of nonlinear relationships is important both from the perspective of estimation and from the precision of forecasts in the medium and especially long term. Most nonlinear forecasting methods and all methods based on neural networks lead to predictions that have a better quality than the forecasts obtained by linear methods. The last section of this paper contains a detailed study of the relationship between inflation and unemployment and a numerical application with numerical data from Romania.


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