Analysis of quality of services for checkout operation in Refah chain stores using queuing theory

References

• Abedy, S., Hamidy, N., & PorKhaan, M. (2011). Modeling probable queuing systems using Markovian chain with the limitation of locating. Management, 22, 55–66.
   Google Scholar
• Abedy, S., Radfar, R., & Hamidy, R. (2010). Gas station optimal plan of arrangement by means of simulation in queuing theory. The Development and Evolution Management Magazine, 4.
   Google Scholar
• Abramowitz, M., & Stegun, I. A. (1965). Handbook of mathematical functions. Dover, UK: Dover Publications.
   Google Scholar
• Azaroon, A., & Kianfar, F. (2001). An algorithm to select the shortest path in dynamic queuing network (Vol. 35, pp. 181–190). Tehran, Iran: Technical Faculty’s Publication.
   Google Scholar
• Berman, O., & Mandowsky, R. (1986). Location-allocation on congested networks. European Journal of Operational Research, 26, 238–250. doi:10.1016/0377-2217(86)90185-2
   Web of Science ®Google Scholar
• Chakravarthy, S. R., & Dudin, A. (2003). Analysis of a retrial queuing model with MAP arrivals and two types of customers. Mathematical and Computer Modelling, 37, 343–363. doi:10.1016/S0895-7177(03)00011-6
   Web of Science ®Google Scholar
• Chi, X., Zheng, J., & Ma, L. (2011). Queuing theory based service performance evaluation under H2H and M2M blending traffic arriving. Procedia Environmental Sciences, 11, 478–485. doi:10.1016/j.proenv.2011.12.076
   Google Scholar
• Cooper, R. B. (1980). Introduction to queuing theory (2nd ed.). New York, NY: Elsevier North Holland.
   Google Scholar
• Davidson, C. (1988). Equilibrium in servicing industries: An economic application of queuing theory. The Journal of Business, 61, 3. doi:10.1086/jb.1988.61.issue-3
   Google Scholar
• De Vany, A. (1976). Uncertainty, waiting time and capacity utilization: A stochastic theory of product quality. Journal of Political Economy, 84, 523–541. doi:10.1086/260457
   Web of Science ®Google Scholar
• De Vany, A., & Saving, T. (1977). Product quality, uncertainty, and regulation: The trucking industry. American Economic Review, 67, 583.
   Web of Science ®Google Scholar
• Derzner, Z. (1995). Facility location: A survey of application and methods. New York, NY: Springer.
   Google Scholar
• Gross, D., & Harris, M. (1985). Fundamentals of queuing theory. New York, NY: John Wiley& Sons Inc.
   Google Scholar
• Gupta, M. B., & Khanna, R. B. (2006). Quantitative techniques for decision making (2nd ed.). New Delhi, India: Prentice Hall of India.
   Google Scholar
• Hao, T., & Yifei, T. (2011). Study on queuing system optimization of bank based on BPR. Procedia Environmental Sciences, 10, 640–646. doi:10.1016/j.proenv.2011.09.103
   Google Scholar
• Hillier, F. S., & Lieberman, G. J. (2001). Introduction to operations research (7th ed., pp. 834–8). Singapore: McGraw-Hill higher education.
   Google Scholar
• Jing Jing, X., & Dong, L. (2012). Queuing models to improve port terminal handling service. System Engineering Procedia, 4, 345–351.
   Google Scholar
• Mann, J. K. (1974). The equilibrium of service firms (PhD dissertation), University of California, Los Angeles, CA.
   Google Scholar
• Nafees, A., & Liang, L. (2006). Analysis of the quality of services for checkout operation in ICA supermarkets using queuing theory. A ‘ C Level’ essay in statistics submitted in partial fulfillment of the requirements for the degree of M.Sc. University of Dalarna, Falun, Sweden.
   Google Scholar
• Porter, A., Roper, A., Mason, T., Rossini, F., & Banks, J. (1991). Forecasting and management of technology. New York, NY: Wiley.
   Google Scholar
• Render, B., Stair, M., & Hanna, E. (2007). Quantitative analysis management (2nd ed.). New Delhi, India: Prentice Hall of India.
   Google Scholar
• Revelle, C., & Hogan, K. (1989). The maximum availability location problem. Transportation Science, 23, 192–200. doi:10.1287/trsc.23.3.192
   Web of Science ®Google Scholar
• Shafiee, E., & Seyfdin Parvar, F. (2007). The application of queuing theory to optimize the allocation of machinery in soil operating. Tomorrow Management, 17, 48–53.
   Google Scholar