Optimizing multi-machining characteristics through Taguchi's approach and utility concept

Journal of Manufacturing Technology Management

Volumn 17, Issue 2, 2006, Pages 255-274

  Singh, Hari ^a   Kumar, Pradeep ^b  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Production processes; Taguchi methods; Utility theory

Indexed keywords

MACHINE TOOLS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROCESS CONTROL; PRODUCTION ENGINEERING;

PRODUCTION PROCESSES; TAGUCHI METHODS; UTILITY THEORY;

OPTIMIZATION;

EID: 33644507449     PISSN: 1741038X     EISSN: None     Source Type: Journal    
DOI: 10.1108/17410380610642304     Document Type: Article

References (25)

1. Antony, J. (2000), "Multi-response optimization in industrial experiments using Taguchi's quality loss function and principal component analysis", Quality Reliability Engineering International, Vol. 16, pp. 3-8.
2. Antony, J. (2001), "Simultaneous optimization of multiple quality characteristics in manufacturing processes using Taguchi's quality loss function", International Journal Advanced Manufacturing Technology, Vol. 17, pp. 134-8.
3. Byrne, D.M. and Taguchi, S. (1987), "The Taguchi approach to parameter design", Quality Progress, Vol. 20, pp. 19-26.
4. Derek, W.B. (1982), Analysis for Optimal Decisions, Wiley, New York, NY.
5. Elsayed, E.A. and Chen, A. (1993), "Optimal levels of process parameters for products with multiple characteristics", International Journal Production Research, Vol. 31, pp. 1117-32.
6. Gupta, V. and Murthy, P.N. (1980), An Introduction to Engineering Design Method, Tata McGraw-Hill, New Delhi.
7. Liao, H.C. (2003), "Using PCR-TOPSIS to optimize Taguchi's multi-response problem", International Journal Advanced Manufacturing Technology, Vol. 22 Nos 9/10, pp. 649-55.
8. Lu, D. and Antony, J. (2002), "Optimization of multiple responses using a fuzzy-rule based inference system", International Journal Production Research, Vol. 40 No. 7, pp. 1613-25.
9. Mottram, R.A. and WoolMan, J. (1966), The Mechanical and Physical Properties of the British Standard EN Steels, 1st ed., Vol. 2, En21-En39, p. 72.
10. Reddy, P.B.S., Nishina, K. and Babu, A.S. (1997), "Unification of robust design and goal programming for multiresponse optimization: a case study", Quality Reliability Engineering International, Vol. 13, pp. 371-83.
11. Ross, P.J. (1996), Taguchi Techniques for Quality Engineering, McGraw-Hill, New York, NY.
12. Roy, R.K. (1990), A Primer on Taguchi Method, Van Nostrand Reinhold, New York, NY.
13. Singh, H. (2000), "Optimization of machining parameters for turned parts through Taguchi's technique", PhD thesis, Kurukshetra University, Kurukshetra.
14. Singh, H. and Kumar, P. (2000), "Multi criteria optimization of machining parameters using the concept of fuzzy set logics", paper presented at XVI National Convention of Mechanical Engineers, University of Roorkee (now IIT), Roorkee, pp. 516-21.
15. Singh, H. and Kumar, P. (2003a), "Quality optimization of turned parts (En24 steel) by Taguchi method", Productivity, Vol. 44, pp. 43-9.
16. Singh, H. and Kumar, P. (2003b), "Investigation of the effect of process parameters on power consumption for turned parts through RSM", E-proceedings of International Conference on CAD,CAM,ROBOTICS and Autonomous Factories, IIT Delhi, India.
17. Singh, H. and Kumar, P. (2003c), "Cutting force optimization of turned parts by Taguchi's technique", Proceedings of the XIII National Conference of Indian Society of Mechanical Engineers, IIT Roorkee, India.
18. Singh, H. and Kumar, P. (2004), "Tool wear optimization in turning operation by Taguchi method", Indian Journal of Engineering and Materials Sciences, Vol. 11, pp. 19-24.
19. Singh, H., Kumar, P. and Singh, I.P. (2001a), "Effect of process parameters on surface roughness of turned parts using response surface methodology", paper presented at International Conference on Mathematical Modelling, University of Roorkee (now IIT), Roorkee, pp. 483-9.
20. Singh, H., Kumar, P. and Singh, I.P. (2001b), "Tool life prediction by response surface methodology", paper presented at XII National Conference of Indian Society of Mechanical Engineers (ISME), Chennai, India, pp. 262-5.
21. Su, C.T. and Tong, L.I. (1997), "Multi-response robust design by principal component analysis", Total Quality Management, Vol. 8 No. 6, pp. 409-16.
22. Taraman, K. (1974), "Multi machining output-multi independent variable turning research by response surface methodology", International Journal Production Research, Vol. 12, pp. 232-45.
23. Tarang, Y.S., Yang, W.H. and Juang, S.C. (2000), "The use of fuzzy logic in the Taguchi method for the optimization of the submerged arc welding process", International Journal Advanced Manufacturing Technology, Vol. 16 No. 9, pp. 688-94.
24. Tong, L.I., Su, C.T. and Wang, C.H. (1997), "The optimization of multi-response problems in the Taguchi method", International Journal of Quality & Reliability Management, Vol. 14 No. 4, pp. 367-80.
25. Tsui, K.L. (1999), "Robust design optimization for multiple characteristics problems", International Journal Production Research, Vol. 37, pp. 433-45.