Optimization of the pharmaceutical products and process design applying taguchi quality engineering principles

Farmacia

Volumn 59, Issue 3, 2011, Pages 321-328

  Ghica, Mihaela Violeta ^a   Popa, Lǎcrǎmioara ^a   Şaramet, Gabriel ^a   Leca, Minodora ^b   Lupuliasa, Dumitru ^a   Moisescu, Ştefan ^a  

^a CAROL DAVILA UNIVERSITY OF MEDICINE AND PHARMACY   (Romania)

^b UNIVERSITY OF BUCHAREST   (Romania)

Author keywords

Controlled noise factors; Quality; Response surface methodology; Robustness; Taguchi approach

Indexed keywords

ARTICLE; DISPERSION; DRUG DESIGN; DRUG MANUFACTURE; METHODOLOGY; PHARMACEUTICAL ENGINEERING; PROCESS DESIGN; PROCESS OPTIMIZATION; SIGNAL NOISE RATIO; TAGUCHI METHODOLOGY;

EID: 79959426985     PISSN: 00148237     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (36)

1. Ajaal T.T., Smith R.W., Employing the Taguchi method in optimizing the scaffold production process for artificial bone grafts, Mater Process Tech, 2009, 209 (3), 1521-1532.
2. Alexis J., Taguchi's method in industry. Experimental plans, Ed. Tehnicǎ, Bucharest, 1999, 65-81, 140-156.
3. Allwood J.M., Cox B.M., Latif S.S., The structured development of simulation-based learning tools with an example for the Taguchi method, IEEE T Educ, 2001, 44 (4), 347-354.
4. Bezerra M.A., Santelli R.E., Oliveira E.P., Villar L.S., Escaleira L.A., Response surface methodology (RSM) as a tool for optimization in analytical chemistry, Talanta, 2008, 76 (5), 965-977.
5. Chan K.Y., Aydin M.E., Fogarty T.C., A Taguchi method-based crossover operator for the parametrical problems, Congress on Evolutionary Computation. Proceedings, 2003, 2, 971-977.
6. Chan Y.J., Ewins D.J., Management of the variability of vibration response levels in mistuned bladed discs using robust design concepts. Part1. Parameter design, Mech Syst Signal Pr, 2010, 24 (8), 2777-2791.
7. th IEEE International Conference on fuzzy systems, 2001, 1, 440-444.
8. Chen D.C., Chen C.F., Use of Taguchi method to develop a robust design for the shape rolling of porous sectioned sheet, Mater Process Tech, 2006, 177 (1-3), 104-108.
9. Crine J.P., When Taguchi meets water treeing, IEEE Electr Insul M, 2000, 16 (3), 13-18.
10. Das Mohapatra P.K., Maity C., Rao R.S., Pati B.R., Mondal K.C., Tannase production by Bacillus licheniformis KBR6: Optimization of submerged culture conditions by Taguchi DOE methodology, Food Res Int, 2009, 42 (4), 430-435.
11. Dǎscǎlescu L, Mihǎlcioiu A., Tilmatine A., Medles K., SamuilǎA., Effect of ambient humidity on the outcome of electrostatic separation processes, Industry Applications Conference, 39th IEEE IAS Annual Meeting, 2004, 3, 1947-1953.
12. Dǎscǎlescu L., Mihǎlcioiu A., Tilmatine A., Mihailescu M., Iuga A., Samuilǎ A., Electrostatic separation processes: A linear-interaction optimization model using Taguchi's experimental design technique, IEEE Ind Appl Mag, 2004, 10 (6), 19-25.
13. Dǎscǎlescu L., Samuilǎ A., Mihǎlcioiu A., Bente S., Tilmatine A., Robust design of electrostatic separation processes, IEEE T Ind Appl, 2005, 41 (3), 715-720.
14. Dellino G., Kleijnen J.P., Meloni C., Robust optimization in simulation: taguchian and response surface methodology, Int J Prod Econ, 2010, 125 (1), 52-59.
15. Ghica M.V., Physico-chemical and biopharmaceutical elements of semisolid systems with topical action. Applications to indomethacin hydrogels, 2010, Printech, Bucharest, 73-79.
16. Gomathi N., Neogi S., Surface modification of polypropylene using argon plasma: Statistical optimization of the process variables, Appl Surf Sci, 2009, 255(17), 7590-7600.
17. Hou T.H., Su C.H., Liu W.L., Parameters optimization of a nano-particle wet milling process using the Taguchi method, response surface method and genetic algorithm, Powder Technol, 2007, 173 (3) 153-162.
18. Hwang G.Y., Hwang S.M., Lee H.J., Kim J.H., Hong K.S., Lee W.Y., Application of Taguchi method to robust design of acoustic performance in IMT-2000 mobile phones, IEEE T Magn, 2005, 41 (5), 1900-1903.
19. Iovanov R.I., Tomuţǎ I., Leucuţa S.E., Influence of some formulation factors on the release of felodipine from extended release hydrophylic matrix, Farmacia, 2009, 57 (5), 582-589.
20. Kanchana B., Sarma V.V.S., Software quality enhancement through software process optimization using Taguchi methods, IEEE Conference and Workshop on Engineering of Computer-Based Systems. Proceedings, 1999, 188-193.
21. Kwak J.S., Application of Taguchi and response surface methodologies for geometric error in surface grinding process, Int J Mach Tool Manu, 2005, 45 (3), 327-334.
22. Lewis G.A., Mathieu D., Phan-Than-Luu R., Pharmaceutical experimental design, Marcel Dekker, New York, 1999, 191-223, 309-321, 461-480.
23. Nanda V., Singh S., Raina C.S., Jindal N., Singh K., Saxena D.C., Optimization of the process variables for the preparation of processed paneer using response surface methodology, Eur Food Res Technol, 2004, 218 (6), 529-534.
24. Ozdemir G., Maghsoodloo S., Quadratic quality loss functions and signal-to-noise ratios for a trivariate response, Manuf Syst, 2004, 23(2), 144-171.
25. Pickle S.M., Robinson T.J., Birch J.B., Anderson-Cook C.M., A semi-parametric approach to robust parameter design, Stat Plan Infer, 2008, 138 (1), 114-131.
26. Popa L., Ghica M.V., Moisescu Şt., Taguchi's method in design, formulation and pharmaceutical optimization, Farmacia, 2004, 52 (1), 9-16.
27. Singh R.S., Saini G.K., Kennedy J.F., Pullulan: Microbial sources, production and applications, Carbohyd Polym, 2008, 73 (4), 515-531.
28. Rout B.K., Mittal R.K., Tolerance design of robot parameters using Taguchi method, Mech Syst Signal Pr, 2006, 20 (8), 1832-1852.
29. Scibilia B., Kobi A., Chassagnon R., Barreau A., An application of the quality engineering approach reconsidered, IEEE Sys Man Cybern, 1999, 1, 943-947.
30. Shukla S.K., Tiwari M.K., Wana H.D., Shankar R., Optimization of the supply chain network: Simulation, Taguchi, and psychoclonal algorithm embedded approach, 2010, Comput Ind Eng, 2010, 58 (1), 29-39.
31. 2 laser using the Taguchi technique, IEEE J Quantum Elect, 1993, 29 (1), 192-200.
32. Ting Y., Huang J.S., Chuang F.K., Li C.C., Dynamic analysis and optimal design of a piezoelectric motor, IEEE T Ultrason Ferr, 2003, 50 (6), 601-613.
33. Tomuţǎ I., Leucuţa S.E., The influence of formulation factors on the kinetic release of metoprolol tartrate from prolong release coated minitablets, Drug Dev Ind Pharm, 2007, 33 (10), 1070-1077.
34. Tomuţǎ I., Iovanov R., Bodoki E., Leucuţa S.E., Quantification of meloxicam and excipients on intact tablets by near infrared spectrometry and chemometry, Farmacia, 2010, 58(3), 559-571.
35. Wehrlé P., Palmieri G.F., Stamm A., The Taguchi's performance statistic to optimize theophylline beads production in a high-speed granulator, Drug Dev Ind Pharm, 1994, 20 (18), 2823-2843.
36. Wu D.H., Chien W.T., Tsai Y.J., Applying Taguchi dynamic characteristics to the robust design of a piezoelectric sensor, IEEE T Ultrason Ferr, 2005, 52 (3), 480-486.