A market-Based study of optimal ATM’s Deployment Strategy Alaa Alhaffa Wael Abdulal Dept. Economics Dept. CSE, EC Osmania University Osmania University Hyderabad 500-007, India Hyderabad 500-007, India E-mail: alaa.haffa@yahoo.com E-mail: wael.abdulal@ymail.com
Abstract— ATMs are critical to the success of any financial institution. Consumers continue to list the location of ATMs as one of their most important criteria in choosing a financial institution, for that banks are willing investment more ATMs for the purposes of providing greater convenience and attracting more customers. But there must be some equilibrium number of ATMs in the market otherwise rivals will enter the market and take all non-served customers. In the competitive case, the bank with most ATMs which are optimally deployed by using strong strategies would win the competition and get all the customers. Based on Bank clients’ base, this study has placed great emphasis on the ATM’s Deployment Strategies in order to provide greater convenience to the customers, consequently, banks can attract more customers and increase its market share and profitability. Technically, three algorithms are designed and compared namely; Heuristic Approach, Rank-Based Genetic Algorithm using Convolution and Simulated Annealing using Convolution. Dual objective is set to achieve highest Percentage Coverage (PC) and less ATMs Number required for covering intended area of study. Three experiments are carried out to measure the performance of each Algorithm. The
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