Genetic algorithms for cost-effective maintenance of a reactor-regenerator system

International Journal of Advanced Manufacturing Technology

Volumn 23, Issue 11-12, 2004, Pages 846-856

  Robert, T Paul ^a   Shahabudeen, P ^a  

^a ANNA UNIVERSITY   (India)

Author keywords

Cost effective maintenance; Genetic algorithm; Optimization; Orthogonal experiments

Indexed keywords

COST EFFECTIVENESS; DYNAMIC PROGRAMMING; GENETIC ALGORITHMS; MAINTENANCE; MATHEMATICAL MODELS; OPTIMIZATION; PUBLIC POLICY;

COST-EFFECTIVE MAINTENANCE; ORTHOGONAL EXPERIMENTS; SERIES-PARALLEL SYSTEMS;

REGENERATORS;

EID: 3142647369     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00170-002-1484-y     Document Type: Article

References (20)

1. Rowan DA (1989) On-line expert systems in the process industries. AI Expert 30-38
2. Puigjaner P, Espuna A (1991) Computer-oriented process engineering. Elsevier, Amsterdam
3. Dekker R (1996) Applications of maintenance optimisation models: A review and analysis. Reliab Eng 51:229-240
4. Al-Bahi AM (1993) Spare provisioning policy based on maximisation of availability per cost ratio. Comput Ind E 24:81-90
5. Harunuzzaman M, Aldemir T (1996) Optimisation of standby safety system maintenance schedules in nuclear power plants. Nucl Tech 113:354-367
6. Bandyopadhyay T, Dey PK, Gupta SS (1997) Cost-effective maintenance program through risk analysis. AACE International Transactions of the Annual Meeting, AACE Inc., Morgantown, WV, U.S.A. pp 6-9
7. Sridhar J, Rajendran C (1994) A genetic algorithm for family and job scheduling in a flow line-based manufacturing cell. Com Ind Eng 27:472-496
8. Sridhar J, Rajendran C (1996) Scheduling in flowshop and cellular manufacturing system with multiple objectives - A genetic algorithmic approach. Prod Plan C 7:374-382
9. Shahabudeen P, Krishnaiah K (1999) Design of a bi-criteria kanban system using genetic algorithms. Int J M Sys 15:257-274
10. Coit DW, Smith AE (1996 a) Reliability optimisation of series-parallel systems using a genetic algorithm. IEEE Reliab 45:254-263
11. Coit DW, Smith AE (1996 b) Solving the redundancy allocation problem using a combined neural network genetic algorithm approach. Comput Oper 23:515-526
12. Ramachandran V, Kannan J, Sathiyanarayanan K, Sivakumar V (1997) Optimal replacement strategies - Genetic algorithms approach Microel Rel 37:665-667
13. Davidson J (1988) The reliability of mechanical system. Mechanical Engineering Publication Ltd., The Institution of Mechanical Engineers, London
14. Thangamani G, Narendran TT, Subramanian R (1995) Assessment of availability of a Fluid Catalytic Cracking Unit through simulation. Reliab Eng 47:207-220
15. Robert TP, Jabyabalan V, Vijayalakshmi K (1999) Petri-net based abnormal event identification - A place array approach. Stochastic Processes and their Applications, Narosa, New Delhi, pp 390-398
16. Robert TP, Jayabalan V (1999) Fault identification in a Fluid Catalytic Cracking Unit through simulation. Operations and Quantitative Management in the Global Business Environment. Tata McGraw-Hill, New Delhi, pp 388-392
17. Deb K (1995) Optimisation for engineering design: Algorithms and examples. Prentice-Hall, New Delhi
18. Goldberg DE (1989) Genetic algorithms in search, optimisation, and machine learning. Addison-Wesley, New York
19. Baack T, Fogel D, Michalewicz Z (1997) Handbook of evolutionary computation. Oxford University Press, New York
20. Ross PJ (1989) Taguchi techniques for Quality Engineering. McGraw-Hill, New York