PERFORMANCE MODEL OF DATABASE RELATIONSHIP TO DESIGN AND MANUFACTURING
Keywords:
Stochastic Processes, Reliability, Supplementary Variable Technique, State Probabilities.Abstract
Recent trends of economization in the development and applications of computer software systems have become an important consideration for the design of modern computer systems. This has increased the efforts towards the study, evaluation and testing of the computer software. The model of information system presented here, is comprised of three subsystems viz,; CAD, Database and CAM namely as A, B and C respectively. Computer-Aided-Design (CAD) is a major element of a computer-integrated manufacturing system. CAD involves any type of design activity that makes use of the computer to develop, analyze, or modify an engineering design. First of all interactive graphics is entered into CAD then it interacts with database and at the last it comes under Computer-Aided-Manufacturing (CAM), which is another major part of manufacturing system. In the performance model of database relationship to design and manufacturing considered in this paper has all failure rates to be following exponential distribution and repair times to be following general time distributions. By the inclusion of supplementary variable and Laplace Transforms technique, all state probabilities, graphs of reliability v/s time, expected profit v/s time and MTTF v/s all types of failures have been sketched in the end so as to forecast the operable behavior of such performance model.
Downloads
References
Cui, L. and Li, H. (2007). Analytical method for reliability and MTTF
assessment of coherent systems with dependent components. Reliability
Engineering & System Safety, Vol. 92 No.3, p.300-7.
Dinesh, K (1991). Analysis and optimization of system availability in sugar,
paper and fertilizer industries. Ph.D. Thesis, university of Roorkee, India.
Gupta, P., Lal, A.K., Sharma, R.K. and Singh, J. (2005). Numerical analysis of
reliability and availability of the serial processes in butter-oil processing plant.
International Journal of Quality & Reliability Management. Vol. 22 No.3,
p.303-16.
Gupta, P. P. and Agarwal, S. C. (1984). A parallel redundant complex system
with two types of failure under preemptive-repeat repair discipline.
Microelectronics Reliability, Vol. 24 No.3, p. 395-9.
Kansal, M. L., Kumar, A. and Sharma, P. B. (1995). Reliability analysis of
water distribution systems under uncertainty. Reliability Engineering and
System Safety, Vol. 50 p. 51-59.
Ke, J. B., Lee, W. C. and Wang, K. H. (2007). Reliability and sensitivity
analysis of a system with multiple unreliable service stations and standby
switching failures. Physica A: Statistical Mechanics and its Applications, Vol.
, p.455-69.
Mangey, R. and Singh, S.B. (2008). Availability and cost analysis of a parallel
redundant complex system with two types of failure under preemptive-resume
repair discipline using Gumbel-Hougaard family copula in repair. International
Journal of Reliability, Quality and Safety Engineering, Vol. 15 No.4, p. 341-
Sarkar, J. and Sarkar, S. (2001). Availability of a periodically inspected system
supported by a spare unit, under perfect repair and perfect upgrade. Statistics
and Probability Letters, Vol. 53, p. 207-17.
Shao, J. and Lamberson, L.R. (1991). Modeling a shared load K-out-of-N: G
system. IEEE Trans. on Reliability, Vol. 40 No.2, p. 205-209.
Singh, J. (1989). Behaviour analysis of refining system in sugar industry.
Proceedings of international symposium on stochastic Modelling.
Singh J. and Geol, P. (1996). Availability analysis of heating system with
stand by and imperfect switch in sugar industry. Proceedings of National
Conference on Operations Research in Modern Technology, p. B-39 to 45.