Design–Expert: Difference between revisions
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[[Category:Design of experiments]] |
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[[Category:Statistical software]] |
[[Category:Statistical software]] |
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Revision as of 16:56, 5 January 2015
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Design-Expert is a statistical software package from Stat-Ease Inc. that is specifically dedicated to performing design of experiments (DOE). Design-Expert offers comparative tests, screening, characterization, optimization, robust parameter design, mixture designs and combined designs.[1] Design-Expert provides test matrices for screening up to 50 factors. Statistical significance of these factors is established with analysis of variance (ANOVA). Graphical tools help identify the impact of each factor on the desired outcomes and reveal abnormalities in the data.[2] Thomas P. Ryan has stated that Design-Expert is likely the most popular and one of the best known in the category of software that is specifically for design of experiments.[3]
History
Stat-Ease released its first version of Design-Expert in 1988. In 1996 the firm released version 5 which was the first version of the software designed for Microsoft Windows.[4] Version 6.0 moved to a full 32-bit architecture and fuller compliance with Windows visual convention. Numerous improvements were made in the statistical capabilities of the program such as allowing up to 256 runs for two-level blocked designs.[5] Version 7.0 added 3D surface plots for category factors and a t-value effects Pareto chart among many other functional additions. Usability improvements in this version include the ability to type in variable constraints directly to the design in ratio form.[6] Version 9 incorporates split-plot factorial designs including two-level full and fractional factorials, general factorials and optimal factorials.[7]
Typical applications
Williamette Valley Company used Design-Expert in a designed experiment that improved first pass yield of polyurethane systems by 65% and throughput by 20%.[8] Interplastic Corp. developed a new gel coat by using Design-Expert to determine the optimum proportion for each ingredient and measure the robustness of candidate designs.[9] FLSmidth performed a DOE with Design-Expert that substantially reduced the cost to validate flotation cells used to produce copper from copper ore.[10] An experiment designed with Design-Expert helped RTP Co. optimize the injection molding of conductive compounds by exploring the complete processing window in only 32 runs.[11] Design of experiments helped Z Corp engineers overcome technical and managerial challenges in developing its line of 3D color printers.[12] TRW Automotive used design of experiments to graphically explore the design space of a braking system in order to quickly generate pressure when demanded by the vehicle stability control system.[13]
Design of experiments with Design-Expert helped to improve the separation of chiral compounds – molecules that are the mirror image of each other, increasing yield from 37.7% to 42.1%.[14] Invitrogen used Design-Expert to reduce the number of experiments and time to optimize a cell culture bioproduction system by exploring the design space and possible operating intervals of all factors.[15] Design-Expert was used by researchers at Medtronic, Alnylam Pharmaceuticals and the University of Kentucky to develop a therapeutic strategy for treating Huntington’s disease involving the convection-enhanced delivery of small interfering ribonucleic acid (siRNA).[16] Optimization of experimental design and analysis helped improve throughput of a key intermediate in the production of Atazanavir, an antiretroviral drug used to treat human immunodeficiency virus (HIV).[17] Experiments were designed with Design-Expert software to evaluate the effects of buccoadhesive pharmaceutical wafers of Loratadine, making it possible to produce the wafers with fewer experimental trials.[18] A Design-Expert D-optimal mixture design was created to optimize nanoparticle size to enhance the performance of the bioactive agent.[19] Design-Expert was also used to calculate a response model for the volume of suppression (Vs) of the Huntington gene (Htt) by small interfering Ribonucleic Acid (siRNA).[20]
Books referencing Design-Expert
Douglas C. Montgomery, “Design and Analysis of Experiments, 8th Edition,” John Wiley & Sons Inc; 8th edition (April 2012, ©2013).
Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook, “Response Surface Methodology: Process and Product Optimization Using Designed Experiments,” John Wiley & Sons Inc; 3 edition (January 14, 2009).
Mark J. Anderson, Patrick J. Whitcomb, “DOE Simplified: Practical Tools for Effective Experimentation, 2nd Edition,” Productivity Press (July 30, 2007).
Patrick J. Whitcomb, Mark J. Anderson, “RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments,” Productivity Press (November 17, 2004).
References
- ^ Martin Tanco, Elisabeth Viles, Laura Ilzarbe and Maria Jesus Alvarez, “Dissecting DoE Software,” Six Sigma Forum Magazine, May 2008.
- ^ John Cornley, “Design of Experiments: useful statistical tool in assay development or vendor disconnect!”, Drug Discovery World, Winter 2009/2010.
- ^ Thomas P. Ryan, “Statistical Methods for Quality Improvement,” August 2011, Wiley.
- ^ Li He, "Design of Experiments Software, DOE software", The Chemical Information Network, July 17, 2003
- ^ Felix Grant, “A More User-Friendly Design Expert,” Quality Digest, November 2000.
- ^ Felix Grant, “Design Expert 7.1,” Scientific Computing World, October 23, 2007.
- ^ “Design Expert Software Versión 9, herramienta de diseño de experimentos y simulación más avanzada,” InfoWeek Online, December 4, 2014.
- ^ “Case Studies: Correcting Low First-Pass Yield,” Quality Magazine, December 30, 2008.
- ^ Sara Black, “Cure for cratering: Gel coat perfected with design of experiments software,” CompositesWorld, February 2013.
- ^ “Software for Fine-tuning Flotation Cells,” Engineering and Mining Journal, April 21, 2011.
- ^ Jerry Fireman, “Design of Experiments helps optimize injection molding of conductive compounds,” Plastics Today, March 11, 2011.
- ^ Michael Vogel, “Design-Expert Software Enables Z Corp Printer Design,” Desktop Engineering, March 2010.
- ^ Jerry Fireman, “Learn the Two-Step,” Desktop Engineering, July 2011.
- ^ Robert Tinder, “Using Design of Experiments to Optimize Chiral Separation,” Pharma QbD, September 2010.
- ^ Steve Peppers, “DoE Helps Optimize a Cell Culture Bioproduction System,” BioProcess International, October 2009.
- ^ Stiles DK, Zhang Z, Ge P, Nelson B, Grondin R, Ai Y, Hardy P, Nelson PT, Guzaev AP, Butt MT, Charisse K, Kosovrasti V, Tchangov L, Meys M, Maier M, Nechev L, Manoharan M, Kaemmerer WF, Gwost D, Stewart GR, Gash DM, Sah DW, “Widespread suppression of huntingtin with convection-enhanced delivery of siRNA,” Experimental Neurology, January 2012.
- ^ Steve Collier, “DOE Improves Throughput in Manufacturing of Key Intermediate,” Pharmaceutical Manufacturing, July 2013.
- ^ Prithviraj Chakraborty, Surajit Dey, Versha Parcha, Shiv Sankar Bhattacharya, and Amitava Ghosh, “Design Expert Supported Mathematical Optimization and Predictability Study of Buccoadhesive Pharmaceutical Wafers of Loratadine,” BioMed Research International, May 2013.
- ^ Adesina SK, Wight SA, Akala EO, “Optimization of the fabrication of novel stealth PLA-based nanoparticles by dispersion polymerization using D-optimal mixture design,” Drug Development and Industrial Pharmacy, November 201440(11):1547-56.
- ^ David K. Stiles, Zhiming Zhang, Pei Ge, Brian Nelson, Richard Grondin, Yi Ai, Peter Hardy, Peter T. Nelson, Andrei P. Guzaev, Mark T. Butt, Klaus Charisse, Verbena Kosovrasti, Lubomir Tchangov, Michael Meys, Martin Maier, Lubomir Nechev, Muthiah Manoharan, William F. Kaemmerer, Douglas Gwost, Gregory R. Stewart, Don M. Gash, Dinah W.Y. Sah, “Widespread suppression of huntingtin with convection-enhanced delivery of siRNA,” Experimental Neurology, January 2012.
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