Robust design (RD) based on the concept of building and improving quality into a design has been paid much attention by researchers and practitioners for years, and a number of approaches have been introduced in the literature. There exist many research attempts to integrate RD methodology with response surface methodology (RSM). The three-level full factorial design embedded higher-order polynomial models may be more useful in order to obtain better RD solutions than the second-order model. In this paper, we propose a dual response surface approach based on higher-order polynomial models in order to optimize the process bias and standard deviation responses at the same time while the process mean is restricted by the lower and upper specification limits. We also discuss why the three-level full factorial design is preferred over the other second-order designs, such as the traditional central composite design, with higher-polynomial models. In addition, the significance levels of the model fittings are sought out by the model selection procedure. A numerical example is given to illustrate the superiority of the proposed approach, as compared with the traditional methods.
In many quality engineering applications, the objective is to determine the relationship between the controllable input variables, xi, and a quality characteristic, y. Several designs are available in the literature for fitting first-, second- or higher-order polynomial models over spherical or cuboidal
The third resource that I used is from the Office of Justice Programs/Bureau of Justice Statistics (BJS). A specific article titled “Intimate Partner Violence in the United States” shows a graph of intimate partner violence rates declining from 1993 to 2006. The article is quite vague, with no real description or stats stating whether or not men commit more violence against women than women do against men. “Violence between intimates is difficult to measure because it often occurs in private, and victims are often reluctant to report incidents to anyone because of shame or fear of reprisal” (S. Catalano).
Describe the three-pronged approach to early detection of breast masses: mammography, clinical breast exam, and self-awareness.
Quantitative and Qualitative are said to be systematic in different design. Both design have to follow a process system that involved defining a principle of research.
* Introduces the construction and use of statistical process control (SPC) charts and an understanding of the relationship between SPC and conformance quality.
This template directs you to portions of the course text, Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (Creswell, 2008). Each table includes chapter numbers
There are two types of research methods, which are qualitative, and quantitative each of which is focused towards diverse aspect. It is noticed that qualitative research method is used for the studies that are dependent on the use of theoretical data or content instead of collecting statistical or empirical evidence to support the discussion. The aim of this method is to consider the use of general data or theories to make sure that research aim and objectives are evaluated specifically (Taylor et al., 2015). While on the other hand, quantitative research method is used by the studies that are reliant on the utilisation of facts and figures in the numerical or statistical format in order to support the arguments or discussion. In this considered, the quantitative research method is emphasised as it will consider using numerical or empirical evidence to support the discussion. This depicts the fact that nature of the study is quantitative (Scruggs & Mastropieri, 2006).
"Bringing Home the Bacon: Marital Allocation of Income-Earning Responsibility, Job Shifts and Men 's Wages" By: Gorman, Elizabeth H. 1999
It has been stated by Van Manen (1990) that the methodology is the framework of any research, It is suggested that the methodology is the theory behind the method and the methodology aids the researcher in deciding upon a research method.
For more than a century, the newspaper industry has been a dominant source of news in the U.S. (Stephens, 2010). Newspapers have experienced substantial declines in circulation, advertising sales, profitability, and readership (Tucker, 2009). Some print newspaper organizations are transitioning to online news distribution models in an attempt to sustain their businesses. Such transitions require traditional print news media companies to conduct staff reductions, then offset the loss of high cost, highly trained journalists and editors through the addition of user generated news article content. This quantitative study focuses on the effectiveness of media company transitions from print to online through an evaluation of readers' trust in
Identifying and analyzing the attributes of different methods equips the researcher to select an appropriate approach to satisfy the aim of their inquiry. Rodgers (2005) and Risjord (2010) present two approaches to nursing knowledge development. This paper will compare and contrast Rodgers “problem-solving”(p. 177) method with Risjord’s “nursing standpoint” (p. 36). Rodgers provides a method that uses knowledge deficits in practice as the foundation for research. Risjord, on the other hand, acknowledges nurses’ lives and the perspective of the nurse as the basis for topics of inquiry. Despite the difference between Rodgers’ and Risjord’s methods, the attributes of each method contribute to the elimination of the practice-theory gap thus making them equally valuable to nursing knowledge development.
Process control plays a crucial role in the chemical engineering industry. The aim of process control is to have a safe plant operation, to attain the design product output, to obtain quality standards from maintaining the product composition and to operate at the lowest production cost (Sinnott, 2005). A process control system is there to eliminate or implement corrective actions on any disturbance that occurs during operation of a process. Achieving these actions is done through using control loops that measure specific process variables, compare a desired output to these variables and control another variable to correct any deviation in the set-point of the system being investigated (Svrcek, Mahoney, & Young, 2006).
Robust design: An experimental method to achieve product and process quality through designing in an insensitivity to noise based on statistical principles.
Robust parameter design (RPD), which combines the RSM and optimization techniques in the context of mathematical programming methods to obtain a desired response by using quality characteristics, such as the nominal-the-best (N-type), the larger-the-best (L-type) or the smaller-the-best (S-type) types, have been paid a lot of attention to the research community for finding continuous-valued variables. The RPD was originally proposed as the N-type quality characteristic in the context of the signal-to-noise (SNR) by Taguchi (1987). Taguchi’s fundamental idea is that the process mean is at the desired target value while the process variance is as small as possible. On the other hand, Leon et al. (1987), Box (1988), Box et al. (1988), Nair (1992), and Tsui (1992) discussed Taguchi’s main idea and criticized the quality characteristics involving both the mean and variance of the response. Steinberg and Bursztyn (1998) also debated a wide spectrum investigation on the Taguchi’s offline quality control method. In addition to these, Grize (1995) and Robinson et al. (2004), Park et al. (2006) and Arvidsson and Gremyr (2008) also provided reviews of the RPD models.
Abstract—Requirements elicitation is the first and most critical phase of Requirements Engineering (RE). To aid the elicitation process, many techniques have been proposed. Each has its strengths and weaknesses. This variety makes the selection of technique or combination of techniques for a specific project a difficult task. Mostly techniques are selected based on personal preferences rather than on attributes of project, technique, and stakeholders. In this paper, the researchers propose a three-step approach for elicitation techniques selection. In the first step, a literature review is conducted to identify the attributes affecting techniques selection and common elicitation techniques. The second step is to analyze these attributes using a multiple regression model to find the critical attributes. Finally, an Artificial Neural Network (ANN) based model for selecting adequate elicitation techniques for a given project is proposed. The ANN model help reduce the human involvements in this process. It was implemented using Neural Network Fitting Tool in MATLAB. The network has accuracy of 81%. The ANN model was validated empirically by conducting a case study in a software company.
The study for this thesis will be exploratory research using secondary data collected by the communication agency, MESH Planning. The agency developed an innovative approach called ‘real-time experience tracking’, which involves three stages of data collection. And both qualitative and quantitative data will be collected and used in this context in order to get an insight of critical incidents.