Data Envelopment Analysis of multiple response experiments

Applied Mathematical Modelling

Volumn 34, Issue 5, 2010, Pages 1139-1148

  Gutiérrez, Ester ^a   Lozano, Sebastián ^a  

^a UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Artificial Neural Networks; Data Envelopment Analysis; Multiple response; Off line quality control; Robust design

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; LINE QUALITY; MULTIPLE RESPONSE; ROBUST DESIGNS;

CUSTOMER SATISFACTION; DATA ENVELOPMENT ANALYSIS; DATA HANDLING; EXPERIMENTS; LINEAR PROGRAMMING; SIGNAL TO NOISE RATIO; TAGUCHI METHODS; TOTAL QUALITY MANAGEMENT;

NEURAL NETWORKS;

EID: 74349107425     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2009.08.001     Document Type: Article

References (45)

1. Taguchi G., Elsayed E.A., and Hsiang T. Quality Engineering in Production Systems (1989), McGraw-Hill, Singapore
2. Taguchi G., Chowdhury S., and Wu Y. Taguchi's Quality Engineering Handbook (2005), John Wiley
3. Phadke M.S. Quality Engineering Using Robust Design (1989), Prentice Hall, Englewood Cliffs, NJ
4. Antony J. Simultaneous optimisation of multiple characteristics in manufacturing processes using Taguchi's quality loss function. Int. J. Adv. Manuf. Technol. 17 (2001) 134-138
5. Reddy P.B.S., Nishina K., and Subash A. Unification of robust design and goal programming for multiresponse optimization - a case study. Qual. Reliab. Eng. Int. 13 (1997) 371-383
6. Su C.-T., and Tong L.-I. Multi-response robust design by principal component analysis. Total Qual. Manage. 8 6 (1997) 409-416
7. Tarng Y.-S., Yang W.-H., and Juang S.C. The use of fuzzy logic in the Taguchi method for the optimisation of the submerged arc welding process. Int. J. Adv. Manuf. Technol. 16 (2000) 688-694
8. Lin J.-L., and Lin C.-L. The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance c haracteristics. Int. J. Mach. Tools Manuf. 42 (2002) 237-244
9. Tong L.-I., Wang C.-H., Chen C.-C., and Chen C.-T. Dynamic multiple responses by ideal solution analysis. Eur. J. Operat. Res. 156 (2004) 433-444
10. Wu F.-C., and Yeh C.-H. Robust design of multiple dynamic quality characteristics. Int. J. Adv. Manuf. Technol. 25 (2005) 579-588
11. Caporaletti L.E., Dulá J.H., and Womer N.K. Performance evaluation based on multiple attributes with nonparametric frontiers. Omega 27 (1999) 637-645
12. Liao H.-C., and Chen Y.-K. Optimizing multi-response problem in the Taguchi method by DEA based ranking method. Int. J. Qual. Reliab. Manage. 19 7 (2002) 825-837
13. Charnes A., Cooper W.W., and Rhodes E. Measuring the efficiency of decision making units. Eur. J. Operat. Res. 2 6 (1978) 429-444
14. Liao H.-C. Using N-D method to solve multi-response problem in Taguchi. J. Intell. Manuf. 16 (2005) 331-347
15. Liao H.-C. A data envelopment analysis method for optimizing multi-response problem with censored data in the Taguchi method. Comput. Indust. Eng. 46 (2004) 817-835
16. Hsieh K.-L., and Tong L.-I. Optimization of multiple quality responses involving qualitative and quantitative characteristics in IC manufacturing using neural networks. Comput. Indust. 46 (2001) 1-12
17. Li T.-S., Su C.-T., and Chiang T.-L. Applying robust multi-response quality engineering for parameter selection using a novel neuronal-genetic algorithm. Comput. Indust. 50 (2003) 113-122
18. Hsu C.-M., Su C.-T., and Liao D. Simultaneous optimisation of the broadband tap coupler optical performance based on neural networks and exponential desirability functions. Int. J. Adv. Manuf. Technol. 23 (2004) 896-902
19. Song A.-A., Mathur A., and Pattipati K.R. Design of process parameters using robust design techniques and multiple criteria optimization. IEE Trans. Syst. Man Cybernet. 25 11 (1995) 1437-1446
20. Wu F.-C., and Chyu C.-C. A comparative study on Taguchi's SN ratio, minimising MSD and variance for nominal-the-best characteristic experiment. Int. J. Adv. Manuf. Technol. 20 (2002) 655-659
21. Lovell C.A.K., and Pastor J.T. Radial DEA models without inputs or without outputs. Eur. J. Operat. Res. 118 1 (1999) 46-51
22. Färe R., Grosskopf S., and Lovell C.A.K. The Measurement of Efficiency of Production (1985), Kluwer-Nijhoff Publishing, Boston
23. Bardhan I., Bowlin W.F., Cooper W.W., and Sueyoshi T. Models and measures for efficiency dominance in DEA, part I: additive models and MED measures. J. Operat. Res. Soc. Jpn. 39 3 (1996) 322-332
24. Pignatiello J.J. Strategies for robust multiresponse quality engineering. IIE Trans. 25 3 (1993) 5-15
25. Wu F.-C., and Chyu C.-C. Optimization of robust design for multiple quality characteristics. Int. J. Product. Res. 42 2 (2004) 337-354
26. Peace G.S. Taguchi Methods: A Hands-on Approach (1993), Addison Wesley, Massachusetts
27. Tong L.-I., and Su C.-T. Optimizing multiresponse problem in the Taguchi method by fuzzy multiple attribute decision making. Qual. Reliab. Engin. Int. 13 (1997) 25-34
28. Derringer G., and Suich R. Simultaneous optimization of several response variables. J. Qual. Technol. 12 4 (1980) 214-219
29. Wu F.-C. Optimization of correlated multiple quality characteristics using desirability function. Qual. Eng. 17 (2005) 119-126
30. Tong L.-I., Su C.-T., and Wang C.-H. The optimization of multiresponse problems in the Taguchi method. Int. J. Qual. Reliab. Manage. 14 4 (1997) 367-380
31. Kumar P., Barua P.B., and Gaindhar J.L. Quality optimization (multi-characteristics) through Taguchi's technique and quality concept. Qual. Reliab. Eng. Int. 16 (2000) 475-485
32. Chen L.-H. Designing robust products with multiple quality characteristics. Comput. Operat. Res. 24 10 (1997) 937-944
33. Lin J.-L., Wang K.-S., Yan B.H., and Tarng Y.S. Optimization of the electrical discharge machining process based on the Taguchi method with fuzzy logics. J. Mater. Process. Technol. 102 (2000) 48-55
34. Lu D., and Antony J. Optimization of multiple responses using fuzzy-rules based inference system. Int. J. Product. Res. 40 7 (2002) 1613-1625
35. Lin T.-R. Optimization of removal rate and Weibull modulus in polishing of ceramic blocks using the fuzzy-based Taguchi method. Mater. Manuf. Process. 18 2 (2003) 229-243
36. Lin C.-L. Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics. Mater. Manuf. Process. 19 2 (2004) 209-220
37. Wu F.-C. Optimising robust design for correlated quality characteristics. Int. J. Adv. Manuf. Technol. 24 (2004) 1-8
38. Shiau G.-S. A study of sintering properties of iron ores using the Taguchi's parameter design. J. Chin. Statist. Assoc. 28 (1990) 253-275
39. Liao H.-C. Multiresponse optimization using weighted principal component. Int. J. Adv. Manuf. Technol. 27 7-8 (2005) 720-725
40. Antony J. Multi-response optimization in industrial experiments using Taguchi's quality loss function and principal component analysis. Qual. Reliab. Eng. Int. 16 (2000) 3-8
41. Hsu C.-M. Solving multi-response problems through neural networks and principal component analysis. J. Chin. Inst. Indust. Eng. 18 5 (2001) 47-54
42. Wu F.-C., and Chyu C.-C. Optimization of correlated multiple quality characteristics robust design using principal components analysis. J. Manuf. Syst. 23 2 (2004) 134-143
43. Logothetis N., and Haigh A. Characterizing and optimizing multi-response processed by the Taguchi method. Qual. Reliab. Eng. Int. 4 (1988) 159-169
44. Wu F.-C. Optimisation of multiple quality characteristics based on percentage reduction of Taguchi's quality loss. Int. J. Adv. Manuf. Technol. 20 (2002) 749-753
45. Dulá J.H. A computational study of DEA with massive data sets. Comp. Oper Res 35 4 (2006) 1191-1203