01About This Special Issue
Recently, statistical knowledge has become an important requirement and occupies a prominent position in the performance of various professions. Every day, professionals use statistical techniques increasingly sophisticated to aid in decision making.The Statistical Engineering is a highly interdisciplinary area of knowledge focused on the design, analysis and optimization of experiments to solving real and complex multivariate problems with minimal costs involved in the trial. Moreover, it has been widely used in various fields like Engineering, Management, Logistics, Marketing, Tourism, Chemistry, Physics, Biology, among others.
The aim of this book is to bring together research papers, literature review and case studies with a multidisciplinary focus and organize them in a comprehensive way for the community interested in the field.
The advantage is that this Special Issue will cover a wide range of applications in diverse areas of knowledge for decision making based on sophisticated statistical tools that consider several variables at once. So, this Issue will not focus on just one area of application, for example, only in Chemistry or Economics as it happens traditionally. Thus, the representation of reality through statistical models become more realistic contributing to process improvement by reducing the variability, reprocessing, environmental impact. Thus, the processes are better monitored and controlled with greater profits.
Topics covered, but not limited to:
Design of Experiments
Full Factorial Design
Fractional Factorial Design
Plackett-Burman Design
Taguchi Methods
Central Composite
Box-Behnken
Mixture Design
Optimization Methods (Response Surface Method, Desirability, among others)
Multivariate Analysis and Data Mining
Classification Methods
Factorial Analysis
Principal Component Analysis (PCA)
Principal Component Regression (PCR)
Partial Least Squares Regression (PLS)
Support Vector Machine Regression (SVMR)
Artificial Neural Networks (ANN)
Statistical Process Control (SPC)
Control Charts
Measurement System Analysis (MSA)
Multivariate Processes
Applications, but not limited to:
Chemistry (Advanced Oxidation Process-AOP, among others)
Biotechnology
Industrial Engineering
Marketing
02Meet the Guest Editors
Our distinguished editors bring deep subject-matter expertise to curate high-quality research and ensure a rigorous peer-review process.
Guest Editor
Savu Adrian
Department of Surveying and Cadastre, Faculty of Geodesy, Technical University of Civil Engineering, Bucharest, Romania
Guest Editor
Kaizhi Yu
Statistics School, Southwestern University of Finance and Economics, Chengdu, China
Guest Editor
Dr.GANDHIYA VENDHAN S
Tamilnadu Agricultural University, Trichy, India
03Published Articles
The following articles have been published in this special issue.
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Didactic Tool Applied into Data Collection and Variability Study in a Process
Issue: Volume 3, Issue 6-1, December 2014Pages: 47-57Received: 1 October 2014Accepted: 5 November 2014Published: 8 February 2015DOI: 10.11648/j.ajtas.s.2014030601.16Downloads:Views:Abstract: The objective of this paper is to present an application of design of experiments in which students learn how to get real data with application to a case using the catapult, and generate their statistical analysis through software, in order to have a great reliability, at the work development. The variation factors are selected between maximum and ... Show More -
The Use of Advanced Oxidation Processes (AOPs) in Dairy Effluent Treatment
Issue: Volume 3, Issue 6-1, December 2014Pages: 42-46Received: 17 November 2014Accepted: 19 November 2014Published: 10 January 2015DOI: 10.11648/j.ajtas.s.2014030601.15Downloads:Views:Abstract: There are several studies in this same sense aiming to develop new processes and new technologies to minimize the volume and toxicity of effluents generated by chemical industries. Currently, technology advances in effluent and residues treatment is based on environmental sustainability (residual reuse) and in the degradation of pollutant substance... Show More -
Issue: Volume 3, Issue 6-1, December 2014Pages: 35-41Received: 19 November 2014Accepted: 21 November 2014Published: 31 December 2014DOI: 10.11648/j.ajtas.s.2014030601.14Downloads:Views:Abstract: The advanced oxidation process was conducted using the Design of Experiments in this work. Initially, Taguchi’s Orthogonal Array L16 (Photo-Fenton and Ozone) was applied, with which it was obtained 29.07% TOC removal. Then, the process was optimized with the Photo-Fenton RSM, thus it was achieved the highest percentage of TOC removal= 54.68%. This ... Show More -
Issue: Volume 3, Issue 6-1, December 2014Pages: 23-34Received: 30 November 2014Accepted: 11 December 2014Published: 27 December 2014DOI: 10.11648/j.ajtas.s.2014030601.13Downloads:Views:Abstract: This study intends to diagnose the maturity level of companies certified by the Automotive Quality Management System ISO TS 16949: 2009. Thus, it analyzes if those are considered World Class Organizations (WCO), identifying its management strengths and weaknesses, to provide input for improvement opportunities in their systems. This study methodolo... Show More -
Issue: Volume 3, Issue 6-1, December 2014Pages: 19-22Received: 17 November 2014Accepted: 19 November 2014Published: 27 December 2014DOI: 10.11648/j.ajtas.s.2014030601.12Downloads:Views:Abstract: In this work was performed a Monte Carlo Simulation for a mathematics model to experimental planning of Taguchi. The software has enabled an upgrading of the variables planning value of 54,26% of TOC, 53,28% of DQO and 6,58% of Total Phenols, that feature the importance of the method for the experimental optimizations, and thereafter reduction of e... Show More -
Issue: Volume 3, Issue 6-1, December 2014Pages: 1-18Received: 12 November 2014Accepted: 2 December 2014Published: 27 December 2014DOI: 10.11648/j.ajtas.s.2014030601.11Downloads:Views:Abstract: Once modern society depends in large-scale of scientific development, the degree of association between scientific knowledge and attitudes toward science has historical, social and political implications. In this sense, it becomes crucial to analyze the public attitudes regarding to science as these are related to the changing context of scientific... Show More


