Earphone terminal quality improvement through sequential experimental design

2015 ◽  
Vol 32 (7) ◽  
pp. 693-702 ◽  
Author(s):  
Zhen He ◽  
Xu-tao Zhang ◽  
Gui-qing Xie ◽  
Min Zhang
Keyword(s):  
Factorial Design ◽  
Response Surface ◽  
Response Surface Model ◽  
Full Factorial Design ◽  
Fractional Factorial ◽  
Surface Model ◽  
Quality Performance ◽  
Content Type ◽  
Input Variables ◽  
Full Factorial

Purpose – The purpose of this paper is to improve the key quality performance of the terminal of earphone in an electronic company. Design/methodology/approach – Sequential experimental designs are employed. Significant input variables are found through a full factorial design. Then a response surface model is constructed considering curvature in the linear model. Findings – Optimized key input variables’ parameters are found using the response surface model. The key quality performance, coplanarity of the terminal of earphone has been improved. Research limitations/implications – Instead of running a full factorial design in the first stage, a fractional factorial may be used to reduce experimental runs. Practical implications – The paper presents a good solution for reducing defects caused by large coplanarity of a kind of earphone terminal. Originality/value – The methodology used in this case can be easily extended to similar cases.

Supercritical CO2 Extraction of Plumula nelumbinis Oil Rich in γ-Sitosterol Using Response Surface Methodology

2013 ◽  
Vol 864-867 ◽  
pp. 213-216
Author(s):  
Dong Dong Jia ◽  
Rong Lan ◽  
Yong Yue Sun
Keyword(s):  
Response Surface Methodology ◽  
Factorial Design ◽  
Response Surface ◽  
Surface Analysis ◽  
Full Factorial Design ◽  
Response Surface Analysis ◽  
Optimal Conditions ◽  
Full Factorial

Supercritical CO2extraction ofPlumula nelumbinisoil rich in γ-sitosterol was investigated with a 42full factorial design and response surface analysis. At optimal conditions (P=35 MPa,T=55 C,dp=0.22 mm,Q=2.0 L/min), the yield of the extracted oil was up to 12.2%, in which the concentration of γ-sitosterol was 7.38%, indicating that the γ-sitosterol contents inPlumula nelumbinisand its oil were much higher than that in other vegetables.

scholarly journals Optimization of pyrocatechol violet biosorption by Robinia pseudoacacia leaf powder using response surface methodology: kinetic, isotherm and thermodynamic studies

2015 ◽  
Vol 6 (2) ◽  
pp. 333-344 ◽  
Author(s):  
Neda Khorshidi ◽  
Ali Niazi
Keyword(s):  
Response Surface Methodology ◽  
Factorial Design ◽  
Response Surface ◽  
Robinia Pseudoacacia ◽  
Freundlich Isotherm ◽  
Second Order ◽  
Full Factorial Design ◽  
Order Kinetic ◽  
Pyrocatechol Violet ◽  
Full Factorial

We have investigated the biosorption of pyrocatechol violet (PCV) from aqueous solutions by Robinia pseudoacacia tree leaves as a low-cost and eco-friendly biosorbent. A full factorial design was performed for screening the main variables and their interactions, which reduces the large total number of experiments. Results of the full factorial design (24) based on an analysis of variance (ANOVA) demonstrated that the initial PCV concentration, contact time, pH and temperature are statistically significant. Box-Behnken design, a response surface methodology, was used for further optimization of these selected factors. The ANOVA and some statistical tests such as lack-of-fit and coefficient of determination (R2) showed good fit of the experimental data to the second-order polynomial model. The Langmuir and Freundlich isotherm models were used to describe the equilibrium isotherms. Equilibrium data fitted well with the Freundlich isotherm model (R2 > 0.97). In addition, thermodynamic parameters (ΔG°, ΔH° and ΔS°) were calculated, these parameters show that the biosorption process was spontaneous (ΔG° = −2.423) and exothermic (ΔH° = −9.67). The biosorption kinetic data were fitted with the pseudo-second-order kinetic model (R2 > 0.999). These results confirm that R. pseudoacacia leaves have good potential for removal of PCV from aqueous solution.

Are high-fit CSR programs always better? The effects of corporate reputation and CSR fit on stakeholder responses

2019 ◽  
Vol 24 (3) ◽  
pp. 471-498 ◽  
Author(s):  
Yeonsoo Kim ◽  
Mary Ann Ferguson
Keyword(s):  
Factorial Design ◽  
Corporate Reputation ◽  
Dominant Role ◽  
Full Factorial Design ◽  
Purchase Intent ◽  
Mediation Process ◽  
Supportive Communication ◽  
Content Type ◽  
Good Reputation ◽  
Full Factorial

Purpose The purpose of this paper is to examine how corporate reputation interacts with corporate social responsibility (CSR) fit and affects stakeholders’ skeptical attribution (SA) of CSR motives, as well as their attitudes, supportive communication intent and purchase intent. This study proposes that a high-fit CSR program does not necessarily engender more favorable outcomes, nor does it stimulate SA. The study proposes the effects of CSR fit differ by corporate reputation. For bad-reputation companies, low-fit is anticipated to generate more desirable CSR outcomes than high-fit initiatives. Design/methodology/approach Two experiments were conducted. The first experiment employed a randomized 2 (CSR fit: high fit vs low fit) × 2 (good reputation vs bad reputation) × 2 (Industry: food retailing and insurance) full factorial design to examine the suggested hypotheses. The second study employed a randomized 2 (CSR fit: high fit vs low fit) × 2 (good reputation vs bad reputation) full factorial design with consumer samples to replicate the conceptual relationships among variables in the first study. Findings While reputation plays a dominant role in influencing stakeholders’ CSR-related responses across both CSR fit situations, a SA partially mediates the relationship between reputation and stakeholder reactions. CSR fit interacts with reputation, and influences the partial mediation process through SA; under a bad reputation condition, low-fit CSR engenders less SA and results in better stakeholder reactions. A similar tendency was found with supportive communication intent and purchase intent. High-fit CSR initiatives by a negative reputation company engendered the weakest supportive intent and purchase intent. For a reputable company, across both CSR fits, respondents displayed generally very positive attitudes toward, greater intent to support, and intent to purchase from the company. Originality/value The study findings provide useful and empirically supported logical explanations of why high-fit CSR programs sometimes cause backlash effects, despite the general consensus that such initiatives generate positive outcomes. This study offers an alternative and more relevant perspective to conceptualize the complexity of anticipating CSR outcomes.

scholarly journals Central Composite Design for Response Surface Methodology and Its Application in Pharmacy

2021 ◽  
Author(s):  
Sankha Bhattacharya
Keyword(s):  
Central Composite Design ◽  
Response Surface ◽  
Response Surface Model ◽  
Fractional Factorial ◽  
Surface Model ◽  
Experimental Conditions ◽  
Design Models ◽  
Central Composite

The central composite design is the most commonly used fractional factorial design used in the response surface model. In this design, the center points are augmented with a group of axial points called star points. With this design, quickly first-order and second-order terms can be estimated. In this book chapter, different types of central composite design and their significance in various experimental design were clearly explained. Nevertheless, a calculation based on alpha (α) determination and axial points were clearly described. This book chapter also amalgamates recently incepted central composite design models in various experimental conditions. Finally, one case study was also discussed to understand the actual inside of the central composite design.

Response Surface Algorithms for Engine Mount Optimization in Motorcycles

2009 ◽  
Author(s):  
Sudhir Kaul ◽  
Anoop K. Dhingra
Keyword(s):  
Response Surface ◽  
Optimization Problem ◽  
Vibration Isolation ◽  
Design Space ◽  
Substantial Reduction ◽  
Response Surface Model ◽  
Fractional Factorial ◽  
Surface Model ◽  
Design Variables ◽  
Engine Mount

This paper presents a Response Surface Modeling (RSM) approach for solving the engine mount optimization problem for a motorcycle application. A theoretical model that captures the structural dynamics of a motorcycle engine mount system is first used to build the response surface model. The response surface model is then used to solve the engine mount optimization problem for enhanced vibration isolation. Design of Experiments (DOE), full factorial and fractional factorial formulations, are used to construct the governing experiments. Normal probability plots are used to determine the statistical significance of the variables and the significant variables are then used to build the response surface. The design variables for the engine mount optimization problem include mount stiffness, position vectors and orientation vectors. It is seen that RSM leads to a substantial reduction in computational effort and yields a simplified input-output relationship between the variables of interest. However, as the number of design variables increases and as the response becomes irregular, conventional use of RSM is not viable. Two algorithms are proposed in this paper to overcome the issues associated with the size of the governing experiments and problems associated with modeling of the orientation variables. The proposed algorithms divide the design space into sub-regions in order to manage the size of the governing experiments without significant confounding of variables. An iterative procedure is used to overcome high response irregularity in the design space, particularly due to orientation variables.

scholarly journals Assessing the Combined Antibacterial Effect of Isoniazid and Rifampin on Four Mycobacterium tuberculosis Strains Using In Vitro Experiments and Response-Surface Modeling

2017 ◽  
Vol 62 (1) ◽  
Author(s):  
Charlotte Genestet ◽  
Florence Ader ◽  
Catherine Pichat ◽  
Gérard Lina ◽  
Oana Dumitrescu ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Response Surface ◽  
Antibacterial Effect ◽  
Hill Equation ◽  
Response Surface Model ◽  
Surface Model ◽  
Response Surface Modeling ◽  
Content Type ◽  
Combined Action

ABSTRACT While isoniazid and rifampin have been the cornerstone of tuberculosis therapy caused by drug-susceptible Mycobacterium tuberculosis for more than 40 years, their combined action has never been thoroughly assessed by modern quantitative pharmacology approaches. The aims of this work were to perform in vitro experiments and mathematical modeling of the antibacterial effect of isoniazid and rifampin alone and in combination against various strains of Mycobacterium tuberculosis. After MIC determination of H37Rv and three strains belonging to the Beijing, Euro-American, and Indo-Oceanic lineages, the antibacterial effects of isoniazid and rifampin alone and in combination were studied in static time-kill experiments. A sigmoidal maximum effect model (Hill equation) and a response-surface model were used to describe the effect of the drugs alone and in combination, respectively. The killing effect of isoniazid and rifampin alone were well described by the Hill equation. Rifampin displayed a more concentration-dependent effect than isoniazid around the MIC. The pharmacodynamics parameters of each drug (maximal effect, median effect concentration, and coefficient of sigmoidicity) were quite similar between the four strains. The response-surface model from Minto et al. fit data of combined effect very well with low bias and imprecision (C. F. Minto, T. W. Schnider, T. G. Short, K. M. Gregg, A. Gentilini, Anesthesiology 92:1603–1616, 2000, https://doi.org/10.1097/00000542-200006000-00017). Response-surface modeling showed that the combined action of isoniazid and rifampin was synergistic for the H37Rv, Beijing, and Euro-American strains but only additive for the Indo-Oceanic strain. This study can serve as a motivating example for preclinical evaluation of combined action of antituberculous drugs.

Three-level response surface full-factorial design: advanced chemometric approach for optimizing diclofenac sodium-imprinted polymer

2013 ◽  
Vol 71 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Nasim Salimraftar ◽  
Saeed Noee ◽  
Majid Abdouss ◽  
Gholamhossein Riazi ◽  
Zahra Monsef Khoshhesab
Keyword(s):  
Factorial Design ◽  
Response Surface ◽  
Diclofenac Sodium ◽  
Full Factorial Design ◽  
Imprinted Polymer ◽  
Chemometric Approach ◽  
Full Factorial
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