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Journal articles on the topic 'Review of design methods'

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Author: Grafiati
Published: 10 March 2023

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1

Achten, Henri H. "Experimental Design Methods — A Review." International Journal of Architectural Computing 7, no. 4 (December 2009): 505–34. http://dx.doi.org/10.1260/1478-0771.7.4.505.

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2

Pleiss, Michael A., and Stefan H. Unger. "Book Review: Theoretical Drug Design Methods." Drug Intelligence & Clinical Pharmacy 19, no. 4 (April 1985): 322. http://dx.doi.org/10.1177/106002808501900430.

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3

Qing-yu, MENG, QIN Zi-chang, REN Cheng-ming, and QI Yun-sheng. "A Review of Optical SystemsDesensitization Design Methods." Chinese Optics 15 (2022): 1–15. http://dx.doi.org/10.37188/co.2022-0096.

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4

Indraratna, B., and M. R. Locke. "Design methods for granular filters—critical review." Proceedings of the Institution of Civil Engineers - Geotechnical Engineering 137, no. 3 (July 1999): 137–47. http://dx.doi.org/10.1680/gt.1999.370303.

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5

Gagare, Sunil Raosaheb, and Dolly Reney. "Design Methods for Reconfigurable Filters A Review." CSVTU Research Journal on Engineering and Technology 8, no. 1 (July 31, 2019): 1–8. http://dx.doi.org/10.30732/rjet.20190801001.

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6

Concha, F., and A. Barrientos. "A Critical Review of Thickener Design Methods." KONA Powder and Particle Journal 11 (1993): 79–104. http://dx.doi.org/10.14356/kona.1993012.

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7

Turner, Robert. "Gradient coil design: A review of methods." Magnetic Resonance Imaging 11, no. 7 (January 1993): 903–20. http://dx.doi.org/10.1016/0730-725x(93)90209-v.

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8

Morabito, Michael G. "A Review of Hydrodynamic Design Methods for Seaplanes." Journal of Ship Production and Design 37, no. 03 (August 19, 2021): 159–80. http://dx.doi.org/10.5957/jspd.11180039.

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The design of successful water-based aircraft requires a close collaboration between the aeronautical engineers and naval architects, who perform high-speed towing tests, stability calculations, or computational fluid dynamics in support of the design. This article presents the fundamental design considerations of waterborne aircraft, which are outside of the typical educational scope of most naval architects, but which they are sometimes asked to address. These include 1) the hydrostatic and hydrodynamic problems associated with seaplane design, 2) early-stage methods for sizing the hull, 3) prediction techniques using archival data, and 4) hydrodynamic model testing procedures. Although a new design will often require substantial iteration to achieve the desired outcome, the information in this article will assist in developing a reasonable starting point for the design spiral and provides sufficient details for a hydrodynamic model testing facility to perform a successful series of model tests on the design. Although much of the work in this field dates from the 1940s, it is important to review this material in light of the current practices being used at hydrodynamic research facilities today. A detailed description of the model testing apparatus and procedure, used in a recent study at the U.S. Naval Academy, is presented to demonstrate the current applicability of these methods and some pitfalls that can be expected in testing. Introduction Today, there is a renewed interest in seaplane designs for both civilian and governmental applications worldwide. According to the Seaplane Pilots Association, there are approximately thirty-five thousand seaplane-rated pilots in the United States and between five and ten thousand operational seaplanes. Worldwide, larger seaplanes are used for firefighting, search and rescue applications, and cargo transportation.
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9

Mueller, Alfred C. "Review of Thermal Design Methods for Multicomponent Condensation." Heat Transfer Engineering 20, no. 4 (November 1999): 6–18. http://dx.doi.org/10.1080/014576399271240.

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10

Gullickson, Terri, and Pamela Ramser. "Review of Research in Psychology: Methods and Design." Contemporary Psychology: A Journal of Reviews 41, no. 4 (April 1996): 395. http://dx.doi.org/10.1037/002922.

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11

Shahawi, M. El, and B. deV Batchelor. "Design methods for partially prestressed concrete—a review." Canadian Journal of Civil Engineering 14, no. 2 (April 1, 1987): 269–77. http://dx.doi.org/10.1139/l87-039.

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Methods for use in the flexural analysis and design of a partially prestressed concrete section are outlined. A typical design example is presented and the results obtained by different design methods are compared. Methods proposed by Moustafa, Naaman and Siriaksorn, Bachmann, and Nilson are all suitable for design purposes. The graphs developed by Moustafa are useful in expediting design. The method proposed by Abeles, which is based on the use of a fictitious tensile stress in the concrete, is generally not recommended. Key words: concrete (prestress), design, flexure, partial prestressing.
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12

Li, Zhihui, and Xinqian Zheng. "Review of design optimization methods for turbomachinery aerodynamics." Progress in Aerospace Sciences 93 (August 2017): 1–23. http://dx.doi.org/10.1016/j.paerosci.2017.05.003.

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13

Laminou, Lawali Moussa, Zhangjun Liu, and Xinghua Chen. "Extreme Events design and Mitigation Methods: A Review." Civil Engineering Journal 5, no. 6 (June 23, 2019): 1424–39. http://dx.doi.org/10.28991/cej-2019-03091342.

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Recently, extreme events have highlighted their potentially tragic effects on structural and infrastructure systems. Resilience of the Community to these extreme vents is an important issue of increasing more concern for developing design methods. Such extreme events scenarios involve many uncertainties, such as the intensity, location, and period. The extreme events may include those caused by various natural or manmade hazards, such as earthquake, strong winds, fire, blast, etc. Compared to other events, earthquake and wind are particularly critical due to their significant threats to the global structure performance and more challenges for design. Researchers have recognized that proper evaluation, modeling, and assessment of the effects of extreme events are fundamental to ensure the desired performance of structures. Therefore, the concern for developing appropriate methodologies to evaluate and design structures that can withstand the effects of extreme events has become a very active field of research in recent years. Improvement of building codes and development of new strategies are needed to mitigate the disastrous effects of extreme events. This paper presents a comprehensive review of literature surrounding designing building structures for extreme events. First, a general overview of the extreme events design and different objectives of approaches is conducted. Furthermore, a review related literature surrounding designing for earthquake resistance guidelines is presented, also highlights Performance-Based Seismic Design objectives. The available literature includes many studies for the provisions included in different design codes (China, United States and Europe). A review of literature related to wind resistance design with an overview of Performance Based Wind Design of building design method for the control of winds impacting on building structures is also presented.
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14

Narenderan, S. T., S. N. Meyyanathan, and Veera Venkata Satyanarayana Reddy Karri. "Experimental design in pesticide extraction methods: A review." Food Chemistry 289 (August 2019): 384–95. http://dx.doi.org/10.1016/j.foodchem.2019.03.045.

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15

Russell, G., and IL Sayers. "Design for testability — a review of advanced methods." Microprocessors and Microsystems 10, no. 10 (December 1986): 531–39. http://dx.doi.org/10.1016/0141-9331(86)90049-9.

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16

Lin, Yipeng. "Review of Modern Computer-aided Drug Design Methods." International Journal of Biology and Life Sciences 1, no. 1 (December 1, 2022): 47–50. http://dx.doi.org/10.54097/ijbls.v1i1.3230.

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Computer technology has developed rapidly in recent decades, and it is also widely used in the field of drug research and development. Computer-aided drug design (CADD) has appeared in the form of assistance to drug discovery process in this background. Computer-aided drug design can save time which is spent in the experimental process in the real world. Since appearance of computer-based drug design strategies, the concepts of HTS, structure-based and ligand-based drug design (SBDD and LBDD), and virtual screening (VS) have been proposed. These technologies have their own advantages and disadvantages, and have different scope of application. This review provides an introduction of modern drug design strategies which are based on computer technology, classifies different methods and finds out the basic working principle of each one, the applicability and limitations of these methods are discussed and recommendations are provided in the application of each method.
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17

Wiberg, Anton, Johan Persson, and Johan Ölvander. "Design for additive manufacturing – a review of available design methods and software." Rapid Prototyping Journal 25, no. 6 (July 8, 2019): 1080–94. http://dx.doi.org/10.1108/rpj-10-2018-0262.

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Purpose This paper aims to review recent research in design for additive manufacturing (DfAM), including additive manufacturing (AM) terminology, trends, methods, classification of DfAM methods and software. The focus is on the design engineer’s role in the DfAM process and includes which design methods and tools exist to aid the design process. This includes methods, guidelines and software to achieve design optimization and in further steps to increase the level of design automation for metal AM techniques. The research has a special interest in structural optimization and the coupling between topology optimization and AM. Design/methodology/approach The method used in the review consists of six rounds in which literature was sequentially collected, sorted and removed. Full presentation of the method used could be found in the paper. Findings Existing DfAM research has been divided into three main groups – component, part and process design – and based on the review of existing DfAM methods, a proposal for a DfAM process has been compiled. Design support suitable for use by design engineers is linked to each step in the compiled DfAM process. Finally, the review suggests a possible new DfAM process that allows a higher degree of design automation than today’s process. Furthermore, research areas that need to be further developed to achieve this framework are pointed out. Originality/value The review maps existing research in design for additive manufacturing and compiles a proposed design method. For each step in the proposed method, existing methods and software are coupled. This type of overall methodology with connecting methods and software did not exist before. The work also contributes with a discussion regarding future design process and automation.
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18

Boivin, Jacquelynne Anne. "The Importance of Qualitative Methods in Mixed Methods Studies." International Journal of Adult Education and Technology 12, no. 2 (April 2021): 1–17. http://dx.doi.org/10.4018/ijaet.2021040101.

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This article presents a thorough review of the literature dedicated to learning more about mixed methods research design. Explanatory sequential mixed methods studies and exploratory sequential mixed methods studies are the two types of mixed methods research design models that this article presents in detail. To contextualize different ideas related to research design, the author provides examples of research studies that exemplify different research designs falling within mixed methods. The main objective of this article is to highlight the important role that qualitative research design plays in mixed methods research. Such a presentation of the literature aims to argue that qualitative data substantiates quantitative data as a means to heighten the regard to which qualitative methodology receives.
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19

Simon, Richard. "Review of Statistical Methods for Biomarker-Driven Clinical Trials." JCO Precision Oncology, no. 3 (December 2019): 1–9. http://dx.doi.org/10.1200/po.18.00407.

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The discovery of somatic driver mutations in kinases and receptors has stimulated the development of molecularly targeted treatments that require companion diagnostics and new approaches to clinical development. This article reviews some of the clinical trial designs that have been developed to address these opportunities, including phase II basket and platform trials as well as phase III enrichment and biomarker adaptive designs. It also re-examines some of the conventional wisdom that previously dominated clinical trial design and discusses development and internal validation of a predictive biomarker as a new paradigm for optimizing the intended-use subset for a treatment. Statistical methods now being used in adaptive biomarker-driven clinical trials are reviewed. Some previous paradigms for clinical trial design can limit the development of more effective methods on the basis of prospectively planned adaptive methods, but useful new methods have been developed for analysis of genome-wide data and for the design of adaptively enriched studies. In many cases, the heterogeneity of populations eligible for clinical trials as traditionally defined makes it unlikely that molecularly targeted treatments will be effective for a majority of the eligible patients. New methods for dealing with patient heterogeneity in therapeutic response should be used in the design of phase III clinical trials.
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20

Qeisi, S. Al, and H. Al-Alwan. "Generative Urban Design Concepts and Methods: A Research Review." IOP Conference Series: Materials Science and Engineering 1090, no. 1 (March 1, 2021): 012085. http://dx.doi.org/10.1088/1757-899x/1090/1/012085.

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21

Mylon, P., M. J. Carre, R. Lewis, and N. Martin. "Review of Test Methods Relevant to Medical Glove Design." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 55, no. 1 (September 1, 2011): 700–704. http://dx.doi.org/10.1177/1071181311551145.

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22

Dimitrov, J. "Review: Prospects for Hardware Foundations: New Hardware Design Methods." Computer Bulletin 42, no. 2 (March 1, 2000): 31. http://dx.doi.org/10.1093/combul/42.2.31-c.

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23

Mohajerani, Abbas, Dusan Bosnjak, and Damon Bromwich. "Analysis and design methods of screw piles: A review." Soils and Foundations 56, no. 1 (February 2016): 115–28. http://dx.doi.org/10.1016/j.sandf.2016.01.009.

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24

Jeżowski, Jacek. "Review of Water Network Design Methods with Literature Annotations." Industrial & Engineering Chemistry Research 49, no. 10 (May 19, 2010): 4475–516. http://dx.doi.org/10.1021/ie901632w.

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25

Murphy, Terrence E., Kwok-Leung Tsui, and Janet K. Allen. "A review of robust design methods for multiple responses." Research in Engineering Design 15, no. 4 (September 25, 2004): 201–15. http://dx.doi.org/10.1007/s00163-004-0054-8.

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26

Murphy, Terrence E., Kwok-Leung Tsui, and Janet K. Allen. "A review of robust design methods for multiple responses." Research in Engineering Design 16, no. 3 (November 26, 2005): 118–32. http://dx.doi.org/10.1007/s00163-005-0004-0.

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27

Lei, Gang, Jianguo Zhu, Youguang Guo, Chengcheng Liu, and Bo Ma. "A Review of Design Optimization Methods for Electrical Machines." Energies 10, no. 12 (November 24, 2017): 1962. http://dx.doi.org/10.3390/en10121962.

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28

李, 天元. "Review of Design Flood Estimation Methods for Cascade Reservoirs." Journal of Water Resources Research 01, no. 02 (2012): 14–20. http://dx.doi.org/10.12677/jwrr.2012.12003.

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29

WANG, J., and W. WAN. "Experimental design methods for fermentative hydrogen production: A review." International Journal of Hydrogen Energy 34, no. 1 (January 2009): 235–44. http://dx.doi.org/10.1016/j.ijhydene.2008.10.008.

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30

Carrozzo, Eleonora, Rosa Arboretti, Riccardo Ceccato, and Luigi Salmaso. "Stratified two‐sample design: A review on nonparametric methods." Applied Stochastic Models in Business and Industry 36, no. 5 (June 25, 2020): 959–73. http://dx.doi.org/10.1002/asmb.2557.

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31

Li, Ning, Caijun Shi, Zuhua Zhang, Hao Wang, and Yiwei Liu. "A review on mixture design methods for geopolymer concrete." Composites Part B: Engineering 178 (December 2019): 107490. http://dx.doi.org/10.1016/j.compositesb.2019.107490.

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32

Hameed, Ayesha, Andrzej Ordys, Jakub Możaryn, and Anna Sibilska-Mroziewicz. "Control System Design and Methods for Collaborative Robots: Review." Applied Sciences 13, no. 1 (January 3, 2023): 675. http://dx.doi.org/10.3390/app13010675.

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Collaborative robots cooperate with humans to assist them in undertaking simple-to-complex tasks in several fields, including industry, education, agriculture, healthcare services, security, and space exploration. These robots play a vital role in the revolution of Industry 4.0, which defines new standards of manufacturing and the organization of products in the industry. Incorporating collaborative robots in the workspace improves efficiency, but it also introduces several safety risks. Effective safety measures then become indispensable to ensure safe and robust interaction. This paper presents the review of low-level control methodologies of a collaborative robot to assess the current status of human–robot collaboration over the last decade. First, we discuss the classification of human–robot collaboration, architectures of systems and the complex requirements on control strategies. The most commonly used control approaches were presented and discussed. Several methods of control, reported in industrial applications, are elaborated upon with a prime focus on HR-collaborative assembly operations. Since the physical HRC is a critical control problem for the co-manipulation task, this article identifies key control challenges such as the prediction of human intentions, safety, and human-caused disturbances in motion synchronization; the proposed solutions were analyzed afterwards. The discussion at the end of the paper summarizes the features of the control systems that should be incorporated within the systematic framework to allow the execution of a robotic task from global task planning to low-level control implementation for safe and robust interactions.
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Hammond, James, Nick Pepper, Francesco Montomoli, and Vittorio Michelassi. "Machine Learning Methods in CFD for Turbomachinery: A Review." International Journal of Turbomachinery, Propulsion and Power 7, no. 2 (May 13, 2022): 16. http://dx.doi.org/10.3390/ijtpp7020016.

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Computational Fluid Dynamics is one of the most relied upon tools in the design and analysis of components in turbomachines. From the propulsion fan at the inlet, through the compressor and combustion sections, to the turbines at the outlet, CFD is used to perform fluid flow and heat transfer analyses to help designers extract the highest performance out of each component. In some cases, such as the design point performance of the axial compressor, current methods are capable of delivering good predictive accuracy. However, many areas require improved methods to give reliable predictions in order for the relevant design spaces to be further explored with confidence. This paper illustrates recent developments in CFD for turbomachinery which make use of machine learning techniques to augment prediction accuracy, speed up prediction times, analyse and manage uncertainty and reconcile simulations with available data. Such techniques facilitate faster and more robust searches of the design space, with or without the help of optimization methods, and enable innovative designs which keep pace with the demand for improved efficiency and sustainability as well as parts and asset operation cost reduction.
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34

Spoon, Jeremy. "Environmental Social Sciences: Methods and Research Design." Ethnobiology Letters 3 (June 26, 2012): 33–34. http://dx.doi.org/10.14237/ebl.3.2012.48.

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Review of Environmental Social Sciences: Methods and Research Design. Ismael Vaccaro, Eric Alden Smith, and Shankar Aswani, eds. 2010. Cambridge University Press, Cambridge. Pp. 396, 41 b/w illustrations, 20 tables. US$49.99 (paperback). ISBN 9780521125710.
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35

O Shea, Eoghan Conor, Sara Pavia, Mark Dyer, Gerald Craddock, and Neil Murphy. "Measuring the design of empathetic buildings: a review of universal design evaluation methods." Disability and Rehabilitation: Assistive Technology 11, no. 1 (May 26, 2014): 13–21. http://dx.doi.org/10.3109/17483107.2014.921842.

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36

Cloutman, Richard. "Book Review: Engineering Design Methods — strategies for product design (2nd Ed.): N. CROSS." International Journal of Electrical Engineering & Education 32, no. 3 (July 1995): 276–77. http://dx.doi.org/10.1177/002072099503200310.

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37

Ruiz-Minguela, Pablo, Vincenzo Nava, Jonathan Hodges, and Jesús M. Blanco. "Review of Systems Engineering (SE) Methods and Their Application to Wave Energy Technology Development." Journal of Marine Science and Engineering 8, no. 10 (October 20, 2020): 823. http://dx.doi.org/10.3390/jmse8100823.

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The design of effective and economically viable wave energy devices involves complex decision-making about the product based on conceptual design information, including stakeholder requirements, functions, components and technical parameters. The great diversity of concepts makes it extremely difficult to create fair comparisons of the relative merits of the many different designs. Conventional design approaches have proved insufficient to guarantee wave energy technologies meet their technical and economic goals. Systems engineering can provide a suitable framework to overcome the obstacles towards a successful wave energy technology. The main objective of this work is to review the well-established systems engineering approaches that have been successfully implemented in complex engineering problems and to what extent they have been applied to wave energy technology development. The paper first reviews how system information can be organised in different design domains to guide the synthesis and analysis activities and the definition of requirements and metrics, as well as the search for solutions and decision-making. Then, an exhaustive literature review on the application of systems engineering approaches to wave energy development is presented per design domain. Finally, a set of conclusions is drawn, along with some suggestions for improving the effectiveness of wave energy technology development.
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38

Coates, Talmage L., Naomi Young, Austin J. Jarrett, Connor J. Morris, James D. Moody, and Dennis Della Corte. "Current computational methods for enzyme design." Modern Physics Letters B 35, no. 09 (February 12, 2021): 2150155. http://dx.doi.org/10.1142/s0217984921501554.

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Computational enzyme design has made great strides over the last five years. Traditional methods of enzyme design require synthesis and evaluation of many mutations. Computational enzyme design has emerged as a powerful tool to predict how specific mutations modify a protein’s activity, stability, and/or selectivity. Such computational approaches can evaluate many mutations and reduce the load of in vitro work by identifying mutations likely to accomplish design objectives. Computational approaches can explore mutational spaces inaccessible in traditional mutagenesis. Computational methods reduce cost and time compared with experimental approaches. We review the efficacy and key differences of computational enzyme design methods as published in recent studies. The included articles used computational methods to design enzymes, were published no earlier than 2015, met design objectives, and verified results in vitro.
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39

Alturkistani, Abrar, Ching Lam, Kimberley Foley, Terese Stenfors, Elizabeth R. Blum, Michelle Helena Van Velthoven, and Edward Meinert. "Massive Open Online Course Evaluation Methods: Systematic Review." Journal of Medical Internet Research 22, no. 4 (April 27, 2020): e13851. http://dx.doi.org/10.2196/13851.

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Background Massive open online courses (MOOCs) have the potential to make a broader educational impact because many learners undertake these courses. Despite their reach, there is a lack of knowledge about which methods are used for evaluating these courses. Objective The aim of this review was to identify current MOOC evaluation methods to inform future study designs. Methods We systematically searched the following databases for studies published from January 2008 to October 2018: (1) Scopus, (2) Education Resources Information Center, (3) IEEE (Institute of Electrical and Electronic Engineers) Xplore, (4) PubMed, (5) Web of Science, (6) British Education Index, and (7) Google Scholar search engine. Two reviewers independently screened the abstracts and titles of the studies. Published studies in the English language that evaluated MOOCs were included. The study design of the evaluations, the underlying motivation for the evaluation studies, data collection, and data analysis methods were quantitatively and qualitatively analyzed. The quality of the included studies was appraised using the Cochrane Collaboration Risk of Bias Tool for randomized controlled trials (RCTs) and the National Institutes of Health—National Heart, Lung, and Blood Institute quality assessment tool for cohort observational studies and for before-after (pre-post) studies with no control group. Results The initial search resulted in 3275 studies, and 33 eligible studies were included in this review. In total, 16 studies used a quantitative study design, 11 used a qualitative design, and 6 used a mixed methods study design. In all, 16 studies evaluated learner characteristics and behavior, and 20 studies evaluated learning outcomes and experiences. A total of 12 studies used 1 data source, 11 used 2 data sources, 7 used 3 data sources, 4 used 2 data sources, and 1 used 5 data sources. Overall, 3 studies used more than 3 data sources in their evaluation. In terms of the data analysis methods, quantitative methods were most prominent with descriptive and inferential statistics, which were the top 2 preferred methods. In all, 26 studies with a cross-sectional design had a low-quality assessment, whereas RCTs and quasi-experimental studies received a high-quality assessment. Conclusions The MOOC evaluation data collection and data analysis methods should be determined carefully on the basis of the aim of the evaluation. The MOOC evaluations are subject to bias, which could be reduced using pre-MOOC measures for comparison or by controlling for confounding variables. Future MOOC evaluations should consider using more diverse data sources and data analysis methods. International Registered Report Identifier (IRRID) RR2-10.2196/12087
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Kafle, Mukesh Raj. "Critical Review and Improvement of Bank Protection Methods in Nepalese Rivers." Journal of the Institute of Engineering 16, no. 1 (April 12, 2021): 15–25. http://dx.doi.org/10.3126/jie.v16i1.36530.

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This paper reviews performance of bank protection works constructed over the last decades along the major rivers in Nepal. The study reveals main reasons of early spurs failure in five major rivers - Koshi, Narayani, West Rapti, Karnali and Mahakali. The overview finds design deficiency as the main reason of failure of bank protection works. The methodology incorporates a combination of field visits and a review of design reports, master plans. The study finds bank protection works along the major rivers in Nepal consist almost exclusively of spurs often combined with revetments in between, made of gabions filled with boulders. Also, the launching aprons are constructed of gabions. The lifetime of these bank protection works is less than 10 years and often much shorter. Designs are based on standard designs from Indian standards, developed for normal alluvial rivers. The study recommends initiating a bank protection pilot project to identify the cause of failure of the bank protection works and to test remedial measures for the sustainability enhancement of river protection works in future.
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41

Huang, George Q., Jian Bin Zhao, and Zuhua Jiang. "Web-based design review portal with fuzzy set theoretic methods for fuel pump designs." International Journal of Computer Integrated Manufacturing 17, no. 3 (April 2004): 265–78. http://dx.doi.org/10.1080/09511920310001607050.

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42

Ortiz, DanielGreene,. "Research Design: Qualitative, Quantitative, and Mixed Methods Approaches [Book Review]." Qualitative Research Journal 6, no. 2 (2007): [205]—207. http://dx.doi.org/10.3316/qrj0602205.

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43

Katekar, Vinayak, Dipali Sangule, Om Bhurbhure, Priyanka Ingle, Shivprasad Dhage, and Krushna Jadhav. "A Review on Quality by Design Approach in Analytical Methods." Journal of Drug Delivery and Therapeutics 12, no. 3-S (June 15, 2022): 255–61. http://dx.doi.org/10.22270/jddt.v12i3-s.5386.

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Quality by Design (QbD) is a systematic approach to development that begins with predefined objectives for a product, process understanding, and process control based on knowledge and quality risk management. All conventional methods may fail to the intended purpose during method development and validation. In a QbD approach, the impact and interactions between critical method variables are understood using a Design of Experiments (DOE) approach, which gives multivariate analysis and modeling leading to the consistent quality of drug products. QbD tools like risk assessment and design of experiments, enable better quality to be incorporated into the analytical method and facilitate prior understanding and identification of variables affecting method performance. The main objective of the present review article is to describe different steps involved in method development by the QbD approach for analytical method development. The QbD Approach for method development comprises various steps that include defining method intent, performing experimental design, evaluating experimental results, selecting proper method conditions, and performing risk assessment with changing analytical parameters and conditions for evaluation. The purpose of analytical QbD is to attain quality in measurement. Keywords: Quality by Design (QbD), Design of Experiments (DOE), Critical attributes
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44

Bangle, C. E., M. Rosso, F. Montagna, and M. Cantamessa. "Design Methods Review For Smart Product: Objectomy, a New Approach." Proceedings of the Design Society 2 (May 2022): 2045–54. http://dx.doi.org/10.1017/pds.2022.207.

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AbstractDigital artefacts call for new design challenges: they enable services, technology-driven and multidisciplinary never ended processes, uncouple form-function, in a social relationship that must be ecosystem-framed. Then, the usual design mindset is not proper and expected vs unexpected outcomes must be equally studied. A framework of methods, in view of the usual design variables and the new ones called by design of smart objects, is here offered. From that the seeds for the future aid to the design process of smart objects result. Then, Objectomy and one real application case are described.
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Zhou, Min, Zemei Wu, Xue Ouyang, Xiang Hu, and Caijun Shi. "Mixture design methods for ultra-high-performance concrete - a review." Cement and Concrete Composites 124 (November 2021): 104242. http://dx.doi.org/10.1016/j.cemconcomp.2021.104242.

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Fan, Yitong, and Weipeng Li. "Review of Far-Field Drag Decomposition Methods for Aircraft Design." Journal of Aircraft 56, no. 1 (January 2019): 11–21. http://dx.doi.org/10.2514/1.c034781.

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Faust, O., U. R. Acharya, and T. Tamura. "Formal Design Methods for Reliable Computer-Aided Diagnosis: A Review." IEEE Reviews in Biomedical Engineering 5 (2012): 15–28. http://dx.doi.org/10.1109/rbme.2012.2184750.

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Zink, Richard C. "Review of Clinical Trial Design: Bayesian and Frequentist Adaptive Methods." Drug Information Journal 46, no. 6 (November 2012): 746–47. http://dx.doi.org/10.1177/0092861512462372.

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49

Edling, Christofer. "Book Review: Mixed Methods Social Networks Research. Design and Applications." Acta Sociologica 58, no. 4 (October 29, 2015): 371–72. http://dx.doi.org/10.1177/0001699315601988.

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Caruth, Gail D. "Demystifying Mixed Methods Research Design: A Review of the Literature." Mevlana International Journal of Education 3, no. 2 (August 1, 2013): 112–22. http://dx.doi.org/10.13054/mije.13.35.3.2.

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