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Thursday, February 21, 2019

Application of Simulation Technique in Queuing Model for ATM Facility Essay

1.0 Issues/ Problem StatementMost of the atmospheres have the job of long queue of clients to undergo simple transaction at the vertex hours and remain idle due to the lack of client founding at the off peak hours.2.0 Objectives1. To develop a wile model to dilute the delay clock of customers and the total operation cost related to atmosphere installation.2. To determine whether only one machine is required to fulfill the involve or two more machines are needed to be installed to cast comfort to customers who are really of short period of time.3. To develop an efficacious procedure for ambience queuing puzzle3.0 Literature ReviewApart from automatic teller machine problem, example with queuing model had been used for various applications tooAccording to Pieter Tjerk de Boer (1983), hearty focus has been dedicated to the estimation of overflow probabilities in queuing networks. A distinguishable adaptive method has applied to queuing problems than in the present work with hardly a(prenominal) simple models been considered.The article of S. S. Lavenberg(1989) has discussed that framework is feasible for statistically studying a complex queuing model. Moderate pretence durations are found to be competent to obtain precise confidence interval estimates. As current mannequin at each step of savings or insertion procedures is perhaps infeasible, thus the alternative configuration is one that yields the largest savings in well-nigh criterion functions with these procedures can be found in Clarke and Wright (1964) or in Solomon (1987).Christofides et al (1981) has discussed Lagrangean relaxation procedures for the queuing of customer in front of ATM. Interactive optimization is incorporated into the problem-solving process with adaptations of this approach to queuing are presented by Krolak et al (1970). Brame and SimchiLevi (1995) has illustrated simulation model is worked by initially introducing the location based heuristic for ecumenical q ueuing problem as a location problem which is solved by and by and the solution is transformed into solution to the queuing problem.4.0 MethodologySimulation proficiency in queuing model is used for solving ATM postponement time problem since this problem cannot be solved with mathematical techniques and physical experimentation. Simulation technique helps identifying the pitfalls of alert 3 ATM dish ups of 3 different banks at VIT (Vellore Institute of Technology). Initially, the simulation is being applied to see the rate of entry and exit, the postponement time of a customer with the ATM machines idle time after observation of the similar and continuous slew on week eld and passs separately. The next step i.e. utilize queuing model to examine the figure of speech of customers in the organisation to the customers wait before being served, thereby it proposes a new ATM service from any of these banks or other than the existing banks based upon the service required from th e customers. A suitable simulation technique is alike formulated to reduce idle time of servers and waiting time of customers for any bank having ATM facility.5.0 FindingsThe overall result shows the comparison surrounded by the three banks based on several characteristic, by applying mathematical formula, the simulation technique and queuing theory. From the simulation result, Indian aver weekend has the lowest anticipate time customer spends in the system, 80 whereas Indian Bank weekdays drop by the wayside and Centurion bank have the highest in anticipate time customer spends in the system that is 120. Apart from that, the result also shows Indian Bank weekdays turn and Centurion Bank has the 0 time for the customer expected to wait, whereas SBI weekend has the highest expected waiting time per customer, 12. From the queuing result, Centurion Bank has the lowest expected time customer spend in the system that is 189, whereas Indian Bank weekdays free, SBI weekdays free and SBI weekend has showed the highest, 250. For the expected waiting time per customer, Centurion Bank has showed the lowest 69, whereas SBI weekend with the highest result, 159.6.0 DiscussionsBy taking one day as a rejectard, a dumb crowd is found in prime hours during the weekdays in Indian Bank and SBI ATMs, the equipment ATM is 100% utilized by the customers. Utilization factor for Indian Bank and SBI in the non-busy hours is 50% and 55% respectively. In weekend period, the physical exercise factor for Indian Bank and SBI is 62% and 64% respectively. The reason shows that the SBI has obtained the highest role factor among the other 2 banks is because of the customers do not face the step forward of Service Problem which is frequently occurred in Indian Bank and Centurion Bank, with an modal(a) of two times in a week. However, it takes more time to charge the currency in the ATM machine than Indian Bank in SBI. Few customers have the ATM transaction with Centurion Bank becau se of the dis atonement on its customer service and the minimum number of branches through appear the India. In addition, from the tabulate results, SBI ATM has obtained the minimum Ws and Wq than the other two banks which imply that it has attained the customer satisfaction on its services.7.0 RecommendationsEvery aspect that has an proceeds on making the waiting time longer in the ATM should be taken into the consideration. The aspects kindred the people that are not well versed with ATM, customers who have stand in the queue and leave, the time the workers take to feed the ATM with currency, out of stock situation and holidays which mostly after exams the utility of ATM should be taken into account of the waiting problem. Another recommendation is the sample coat should be extended into larger sample size and more days of observation to obtain more accurate results. In addition, the consideration of waiting cost and service cost can help developing an effectual procedure for ATM queuing problem and to find out the best ATM facility.8.0 ConclusionQueuing Model and Simulation Model(SM) are used to define the queuing problems in terms of decision making to reduce the customers waiting time. After comparing the customers behaviour on different TM service at VIT, a new ATM machine (SBI) should be installed in mens hostel to facilitate more customers towards the service by reducing the customers cost and service cost for the long runs benefit.9.0 Personal Comment/ opinionIn the last ten years, simulation software and methodology has been developed and used in the bank services. The preceding sections have shown that using the simulation technique can increase sustainability of a bank with better customer service and enhanced customer satisfaction. However, this simulation technique is not limited only in modeling the customer in a bank, but the same concept can also be applied in defining and analyzing the model of a system or problem in the banking areas. O ther areas can be copy in banking areas such as customer flows to evaluate alternative layout at heart a branch bank, cash flows between branches and the banks aboriginal office. Once these models developed, it can easily be used to examine the effect of different parameters on the variables in the model.

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