Khalili, S., ZareMehrjerdi, Y., Fallahnezhad, M. S., & Mohammadzade, H. (2014). Hotel location problem using erlang queuing model under uncertainty. International journal of engineering-transactions c: aspects, 27(12), 1879-1887.
 Demneh, M. T., Farmani, S., & Mamaliki, R. M. (2011). Investigating current challenges in Shiraz tourism industry in relation to limited residential centers. Journal of urban-regional studies and research, 2(8), 117-132.
 Taylor, G. D. (1980). How to match plant with demand: a matrix for marketing. International journal of tourism management, 1(1), 56-60.
 Klassen, K. J., & Rohleder, T. R. (2002). Demand and capacity management decisions in services. International journal of operations & production management, 22(5), 527-548.
 Getz, D. (1983). Capacity to absorb tourism: Concepts and implications for strategic planning. Annals of tourism research, 10(2), 239-263.
 Crandall, R. E., & Markland, R. E. (1996). Demand management‐today's challenge for service industries. Production and operations management, 5(2), 106-120.
 Pullman, M., & Rodgers, S. (2010). Capacity management for hospitality and tourism: A review of current approaches. International journal of hospitality management, 29(1), 177-187.
 Khalili, S., & Lotfi, M. M. (2015). The optimal warehouse capacity: A queuing-based fuzzy programming approach. Journal of industrial and systems engineering, 8(2), 1-12.
 Rao, A. K., & Rao, M. R. (1998). Solution procedures for sizing of warehouses. European journal of operational research, 108(1), 16-25.
 Drake, R. E., & Wallach, M. A. (2019). Assessing the optimal number of psychiatric beds for a region. Administration and policy in mental health and mental health services research, 46(6), 696-700.
 Zhu, T., Liao, P., Luo, L., & Ye, H. Q. (2020). Data-Driven models for capacity allocation of inpatient beds in a Chinese public hospital. Computational and mathematical methods in medicine. https://doi.org/10.1155/2020/8740457
 Bachouch, R. B., Guinet, A., & Hajri-Gabouj, S. (2012). An integer linear model for hospital bed planning. International journal of production economics, 140(2), 833-843.
 Khalili, S., Ghodoosi, M., & Hasanpour, J. (2018). The optimal number of hospital beds under uncertainty: a costs management approach. Journal of optimization in industrial engineering, 11(2), 129-138.
 Mehrolhasani, M. H., Khosravi, S., & Tohidi, M. (2016). Reallocation of shafa hospital beds in kerman using goal programming model. Electronic physician, 8(8), 2733.
 e Oliveira, B. R. P., de Vasconcelos, J. A., Almeida, J. F. F., & Pinto, L. R. (2020). A simulation-optimization approach for hospital beds allocation. International journal of medical informatics, 141, 104 -174.
 Kokangul, A. (2008). A combination of deterministic and stochastic approaches to optimize bed capacity in a hospital unit. Computer methods and programs in biomedicine, 90(1), 56-65.
 Hwang, J., Gao, L., & Jang, W. (2010). Joint demand and capacity management in a restaurant system. European journal of operational research, 207(1), 465-472.
 Gu, Z. (2003). Analysis of Las Vegas strip casino hotel capacity: an inventory model for optimization. Tourism management, 24(3), 309-314.
 Chen, C. M., & Lin, Y. C. (2013). The influence of uncertain demand on hotel capacity. International journal of hospitality management, 34, 462-465.
 Ben-David, N., Teitler-Regev, S., & Tillman, A. (2016). What is the optimal number of hotel rooms: Spain as a case study? Tourism management, 57, 84-90. https://doi.org/10.1016/j.tourman.2016.05.016
 Tavor, T., Gonen, L. D., & Spiegel, U. (2019). Optimal pricing and capacity under well-defined and well-known deterministic demand fluctuations. Rev. Eur. Stud.
, 11, 15. https://doi.org/
 Zhuang, W., Chen, J., & Fu, X. (2017). Joint dynamic pricing and capacity control for hotels and rentals with advanced demand information. Operations research letters, 45(5), 397-402.
 Leisten, M. (2020). Volatility, uncertainty, and hotel capacity. Retrieved from file:///C:/Users/jpour/Downloads/Volatility__Uncertainty__and_Hotel_Capacity.pdf
 Madanoglu, M., & Ozdemir, O. (2016). Is better? The relationship between meeting space capacity and hotel operating performance. Tourism management, 52, 74-81.
 Pan, C. M. (2007). Market demand variations, room capacity, and optimal hotel room rates. International journal of hospitality management, 26(3), 748-753.
 Brunato, M., & Battiti, R. (2020). Combining intelligent heuristics with simulators in hotel revenue management. Annals of mathematics and artificial intelligence, 88(1-3), 71-90.
 Nair, G. K. (2019). Dynamics of pricing and non-pricing strategies, revenue management performance and competitive advantage in hotel industry. International journal of hospitality management, 82, 287-297.
 Pimentel, V., Aizezikali, A., & Baker, T. (2019). Hotel revenue management: Benefits of simultaneous overbooking and allocation problem formulation in price optimization. Computers & industrial engineering, 137, 106073.
 Fadly, M., Ridwan, A. Y., & Akbar, M. D. (2019). Hotel room price determination based on dynamic pricing model using nonlinear programming method to maximize revenue. 2nd international conference on applied information technology and innovation (icaiti)
(pp. 190-196). IEEE. https://doi.org/
 Vives, A., Jacob, M., & Payeras, M. (2018). Revenue management and price optimization techniques in the hotel sector: A critical literature review. Tourism economics, 24(6), 720-752.
 Khataei, M., Farzin, M. R., & Mousavi, A. (2008). Measuring the efficiency of selected hotels in Tehran: A DEA approach. The economic research, 8(2) 1-24.
 D. Feiz, h. taherian, and a. zarei. (2011). Service quality and customer satisfaction in hotel industry (case study: Mashhad hotels). Scientific journal management system, 3 (6), 123-149.
 Gelenbe, E., Pujolle, G., Gelenbe, E., & Pujolle, G. (1998). Introduction to queueing networks (Vol. 2). New York: Wiley.
 Magazine, M. J., & Chern, M. S. (1984). A note on approximation schemes for multidimensional knapsack problems. Mathematics of operations research, 9(2), 244-247.
 Khoshfetrat, S., & Hosseinzadeh Lotfi, F. (2014). Introducing a nonlinear programming model and using genetic algorithm to rank the alternatives in analytic hierarchy process. Journal of applied research on industrial engineering, 1(1), 12-18.
 Mirmohseni, S. M., Nasseri, S. H., & Khaviari, M. H. (2017). A new fuzzy hybrid dynamic programming for scheduling weighted jobs on single machine. Journal of applied research on industrial engineering, 4(2), 97-115.
 Fabbri, G., & Greppi, M. (2018). An optimized heat sink for thermo photovoltaic panels. Journal of applied research on industrial engineering, 5(1), 1-9.
 Ahmed, S. M., Biswas, T. K., & Nundy, C. K. (2019). An optimization model for aggregate production planning and control: a genetic algorithm approach. International journal of research in industrial engineering, 8(3), 203-224.
 Molaei, S., & Cyrus, K. M. (2014). Robust design of maintenance scheduling considering engineering insurance using genetic algorithm. International journal of research in industrial engineering, 3(1), 39-48.
 Holland, J. H. (1992). Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT press.
 Koza, J. R. (1992). Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. U.S. Patent No. 5,136,686. Washington, DC: U.S. Patent and Trademark Office. https://ieeexplore.ieee.org/servlet/opac?bknumber=6267401
 Taguchi, G. (1986). Introduction to quality engineering: designing quality into products and processes (No. 658.562 T3). Quality Resources. https://www.amazon.com/Introduction-Quality-Engineering-Designing-Processes/dp/9283310845