A new queuing-based mathematical model for hotel capacity planning: a genetic algorithm solution

Journal of Applied Research on Industrial Engineering

Masood Mosadegh Khah¹  Saeed Khalili² 

[1] Associate Professor of Department of Industrial Engineering, Imam Hossein Compressive University, Tehran, Iran.;PhD Student of Industrial Engineering, Imam Hossein Comprehensive University, Tehran, Iran.;

关键词: optimization;    hotel capacity planning;    queuing theory;    mathematical programming;    genetic algorithm;   

DOI  :  10.22105/JARIE.2020.244708.1187

来源: DOAJ

【 摘 要 】

This study presents a new mathematical optimization model using queuing theory to determine the hotel capacity in an optimal manner. For this purpose, a Knapsack model based on the queuing theory is proposed. In this regard, after simulating a hotel's reception system with the help of queuing models and using a limited two-dimensional Knapsack model, the capacity and an optimum number of rooms are obtained. Since the proposed model is too complex on large scales, a modified Genetic Algorithm (GA) approach enhanced by Taguchi method is employed to solve the problem. The obtained results indicate that unlike previous studies, the proposed models can be applied to different scenarios.

【 授权许可】

Unknown