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Volume-5, Issue-1, February-2015

International Journal of Engineering and Management Research

Page Number: 57-64

Cost Analysis of A.T.M. (Automated Teller Machine) Employing

Pre-Emptive Repair

Dr Reena Garg

Assistant Professor (Mathematics), YMCA University of Science & Technology, Faridabad – 121006 (Haryana) India

ABSTRACT

In this paper, the author has considered an A.T.M. (automated Teller Machine) system to analysis its cost function. The author has been taken one parallel redundant bank computer to enhance system’s overall performance. The whole system can fail due to either its normal working or human error. All the failures follow exponential time distribution where as all repairs follow general time distribution.

Keywords--- A.T.M., Central Computer, Markovian, Non-Markovian, Laplace transform, Probability of states.

I.

INTRODUCTION

In this chapter, the author has been considered an A.T.M. (automated Teller Machine) system to analysis its cost function. There are four main subsystems namely, generator, A.T.M. station, central computer and bank computer, in the considered system. The author has been taken one parallel redundant bank computer to enhance system’s overall performance. System configuration has been shown in fig-1(a). The first subsystem is generator and it supplies power to rest three subsystems. On failure of generator, the whole system becomes fail. The second subsystem is A.T.M. station and it interacts with human user. It accepts A.T.M. card, dispenses cash and print receipt. On failure of A.T.M. the whole system gets failed. The third subsystem is central computer and it verifies user’s pin, convey message to bank computer, receive reply of bank computer and allow A.T.M. to give cash to user. On failure of central computer, the whole system goes to failed state. The fourth subsystem is bank computer and it receives user’s message from central computer, verify this transaction from user’s account and made entry of this transition in user’s account. In this model, there are two bank computers working in parallel redundancy. Therefore, on failure of any one bank computer, the whole system works in reduced efficiency state. Pre-emptive resume policy has been adopted for repair purpose.

Since the considered system is of Non-Markovian nature, supplementary variables have been used to make it Markovian. State-transition diagram has been shown in fig-1(b). Probability considerations and limiting procedure have been used for mathematical formulation of the system. This mathematical model has been solved with the aid of Laplace transform. Probability of states (depicted in fig-1(b)), has been computed. Availability and cost function have been obtained for the considered system. Steady-state behaviour of the system and a particular case has also been obtained to improve practical utility of the system. Graphical illustration followed by a numerical illustration has also been appended in last to highlight important results of this study.

II.

ASSUMPTIONS

The following assumptions have been associated with this model:

1. Initially, the whole system is good and operable. 2. All failures follow exponential time distribution

and are S-independent.

3. All repairs follow general time distribution and are perfect.

4. Pre-emptive resume policy has been adopted for repair purpose.

5. There are two bank computers working in parallel redundancy.

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NOTATIONS USED

III.

FORMULATION OF

MATHEMATICAL MODEL

Probability considerations and limiting procedure yield the following set of difference-differential equations, which is continuous in time, discrete in space and

governing the behaviour of considered system:

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SOLUTION OF THE MODEL

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PARTICULAR CASE

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Fig-2

t

G(t)

5

C

1

=

2

2

=

C

G

1

(

t

)

5

1

=

C

1

2

=

C

G

2

(

t

)

6

1

=

C

1

2

=

C

G

3

(

t

)

0

0

0

0

1

2.656669

3.656669

3.588003

2

4.688791

6.688791

6.426549

3

6.1801

9.1801

8.61612

4

7.20311

11.20311

10.24373

5

7.820615

12.82062

11.38474

6

8.086992

14.08699

12.10439

7

8.049327

15.04933

12.45919

8

7.748396

15.7484

12.49808

9

7.219507

16.21951

12.26341

10

6.493235

16.49324

11.79188

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Cost function Vs Time

0

5

10

15

20

1 2 3 4 5 6 7 8 9 10 11

t-->

G

(t)-->

G1(t)

G2(t)

G3(t)

Fig-3

IV.

RESULTS AND DISCUSSION

We have given the availability of considered system, for various values of time t, in table-1. The graph of this has been shown in fig-2. Critical examination of fig-2 reveals that availability of the system decreases in a constant manner approximately. It should be noted that there are no sudden jumps in the values of availability of considered system.

Table-2 gives the values of cost function at various t

and for three sets of costs

C

1

,

C

2. Its graph has been sketched in fig-3. In this graph, we observe that the value of cost function increases constantly. Also, we observe that value of

G

(

t

)

remains better for the second set of

C

1

,

C

2

(i.e.

G

2

(

t

)

).

REFERENCES

[1] Arora, S.C.; Domkundwar, S.: “A Course in Refrigeration and Air-Conditioning”, Dhanpat Rai & Co. (P) Ltd., 2006.

[2] Billinton, R.; Allan, R.: “Reliability Evaluation of Power Systems”, Springer Publication, 1996.

[3] Billinton, R.; Allan, R.: “Reliability Evaluation of Engineering Systems: Concepts and Techniques", Springer Publication, 1992.

[4] Capasso, V.; Bakstein, D.: “An Introduction to Continuous-time Stochastic Processes: Theory, Models and Applications", Birkhauser Publication, 2004.

[5] Culp, W. Archie: “Principles of Energy Conversion”, McGraw Hill Book Company, New York, 2000.

[6] Dhillon, B.S.: “Design Reliability”, CRC Press, 1999. [7] Dhillon, B.S.: “Reliability, Quality and Safety Engineers”, Taylor Francis, 2004.

[8] Gopal, M.: "Modern Control System Theory", New Age International (P) Ltd., Publishers, India, 2004.

[9] Heyman, D.P.; Sobel, M.J.: “Stochastic Models in Operations Research: Stochastic Processes and Operating Characteristics”, Dover Publication, 2003.

[10] Kuo, W.; Zuo, M.J.: “Optimal Reliability Modeling: Principles and Applications”, John Wiley & Sons., 2002. Linkov, L.N.: "Asymptotic Statistical Methods for Stochastic Processes", American Mathematical Society, 2001.

[11] Nikolaidis , E.; Ghiocel , D.M. ; Singhal , S. : "Engineering Design Reliability Handbook", CRC Press, 2004.

B2: RESEARCH PAPERS

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[2] Agnihotri, R.R.; Satsangi, S. K.: "Two Non-identical Unit System with Priority Based Repair and Inspection", Microelectronic Reliab. , Vol. 36 (2) , pp 279 – 282, 1996. [3] Cassady, C.R.; Lyoob, I.M.; Schneider, K.; Pohi, E. A.: "A Generic Model of Equipment Availability under Imperfect Maintenance”, IEEE TR on Reliability, Vol.54, issue - 4, pp 564 – 571, 2005.

[4] Chung, W.K.: “Reliability Analysis of a Repairable Parallel System with Standby Involving Human Error and Common Cause Failure”, Microelectronic Reliab. , Vol.27, pp 269-274, 1987.

[5] Chung, W.K.: “Reliability Analysis of a Series System with Repair", Microelectronic Reliab. , Vol.31, pp 363-365, 1991.

[6] Chung, W. K.: "A k-out -of n: G Redundant System with the Presence of Chance with Multiple Critical Errors”, Microelectronic Reliab. , Vol. 33, pp 334-338, 1993.

[7] Chung, W. K.: " Reliability Analysis of a k-out -of n: G Redundant System in the Presence of Chance with Multiple Critical Errors", Microelectronic Reliab. , Vol. 32, pp 331 – 334, 1993.

[8] Cluzeau, T.; Keller, J.; Schneeweiss, W.: “An Efficient Algorithm for Computing the Reliability of Consecutive-k-out-of-n:F Systems”, IEEE TR. on Reliability, Vol.57 (1), PP

[10] Dhillon, B. S. and Yang N. J.: "Stochastic Analysis of Standby System with Common Cause Failure and Human Error”, Microelectronic Reliab. , Vol. 32, pp 1699 – 1712, 1992.

84-87, 2008.

[9] Dhillon, B. S.; Vishvanath, H. C.: "Reliability Analysis of Non - identical Units Parallel System with Common Cause Failure", Microelectronic Reliab., Vol. 31, pp 429 – 441, 1991.

References

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