IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 8    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 8, August 2011
Selection of Maintenance Practice through Fuzzy Logic Based Simulation in TPM
Full Text(PDF, 3000)  PP.  
Malay Niraj, Praveen Kumar
Maintenance Practice, Fuzzy Base maintenance system (FBMS), Downtime, Frequency
The present study is a new approach for finding the suitable maintenance practice with the help of fuzzy logic rule base system. It is a decision making tool which depends upon various condition of a machine .The success of any industry depend on its optimum manufacturing cost of product and for achieving the above said factor the maintenance practice should be efficient and effective .Fuzzy base maintenance system (FBMS) has been considered for study because of the fact that fuzzy logic technique is best suited for dynamic environment where decisions are required to be taken on the basis of multi variable parameters. The study describes problem in maintenance arising due to absence of having clear criteria and strong decision constrain how to maintain failing equipment. This study mainly focused on the modeling of a "Fuzzy Based Simulation" for finding the suitability of maintenance methods considering downtime & frequency as a parameter.
[1] J.Yang, H.Chiu, G. Tzeng and R.Yeh. ""Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships"" International Journal of Information Sciences, Vol.178, pp.623-642, 2008.

[2] M.Kumar and P.Vrat. ""A fuzzy goal programming approach for vendor selection problem in a supply chain"", Computer & Industrial Engineering, Vol.46, pp.69-85, 2004.

[3]Sinha. R&Tamber “Maintenance and spare parts management ”USA PP103,1997

[4] L. A. Zadeh, Fuzzy sets. Information and control, Vol.8, Academic, New York, 1965, pp 338_353.

[5]Anderson, E., Fine, C., Parker, G. (2000) Upstream volatility in the supply chain: The machine tool industry as a case study. Production and Operations Management, Muncie, Fall 2000.

[6]Anderson, E., Morrice, D. (1999) A simulation model to study the dynamics in a service oriented supply chain. Proceedings of the 1999 winter simulation conference, pp. 742-748.

[7]Cho DI and Parlar M. A survey of maintenance models for multi-unit systems. Eur J Opl Res 51: 1- 23.1991

[8] Kobbacy KAH, Poudlove NC and Harper MA. Towards an intelligent maintenance optimization system. J Opl ResSoc46: 831-853.1995

[9]Vanneste SG and Van Wassenhove L. An integrated and structured approach to improve maintenance. Eur J Opl Res 82: 241-257.1995

[10]Dekker R. Integrating optimization, priority setting, planning and combining of maintenance activities. Eur J Opl Res 82: 225-239.2001

Untitled Page