BLOCKING PROBABILITY FOR CUSTOMERS’ FLOW IN BANKING SECTOR (A CASE STUDY OF FOUR BANKS IN ANAMBRA STATE)

Abstract

Flow of people can be affected by geographical location. In location of industry, these two are taken into consideration to reduce loss and maximize profit. In banking industry, flow of customers in a banking sector can be affected by location. This research is set to investigate possible variation in queuing model of banks with respect to geographical location. For this study, four banks were randomly selected. Primary data were used for the study. The results of the analysis shows that the queue models depend on location of the bank and banks cited in similar location have similar models. In like manner, blocking probability was investigated using Hayward Approximation Estimate, Jagarman Estimate and Recursion Estimate. Blocking Probability computed revealed that irrespective of location, Recursion Estimate is lower than any other method used which implies that the method is highly sensitive to the detection of blocking probability.