THE METHOD OF MULTIVARIATE STATISTICAL ANALYSIS OF TIME MULTIVARIATE CRITICAL ATTRIBUTES OF MANUFACTURING QUALITY WITH DATA FACTORIZATION

  • Євген Володимирович Гаврилко State University of Telecommunications
  • Олег Анастасійович Курченко State University of Telecommunications http://orcid.org/0000-0002-3507-2392
  • Ігор Володимирович Терещенко Kharkiv National University of Radio Electronics http://orcid.org/0000-0002-6197-1914
  • Антон Ігорович Терещенко State University of Telecommunications
Keywords: quality-by-design, critical quality attributes, critical process parameters, the design of experiments, multivariate statistical analysis

Abstract

The object of the study is the process of product quality assurance at the stage of the initial design of the manufacturing process. The subject matter is informational technologies for assessing the factor influence of critical parameters of the process of manufacturing (CPPs) on the critical quality attributes of a product (CQAs). The goal of the study is to use the method of multivariate statistical analysis for assessing the character and features of the influence of time multivariate critical process parameters on time multivariate critical quality attributes at the stage of designing the manufacturing process. The task of the study is to determine the structure and hierarchy of time multivariate data of CPPs and CQAs and to determine qualitatively and quantitatively the relationship among the formed objects of the specified parameters. The following methods were consistently used – statistical procedures of the exploratory analysis of multivariate data; transforming the homogeneous observed values matrices of CPPs and product CQAs into the data table with factorized data; deriving the regression trees of multivariate CPPs with multivariate responses (CQAs). The methods implement the software packages of the R language. The following results were obtained – the method to solve the problem of product quality assurance at the stage of designing the initial manufacturing process in accordance with the process-analytical technology for designing modern certified manufacturing standards such as QbD (Quality-by-Design) is suggested. The method uses the information technologies of multivariate statistical analysis (MSA) to evaluate the influence of time multivariate critical process parameters (CPPs) on the time product critical quality attributes (CQAs). Preparatory transformation of clusters of critical process (manufacture process) parameters into factors of product critical quality attributes was carried out. Factorized time multivariate CPPs enable using the methods of multivariate statistical analysis for assessing the impact of CPP factors on the time multivariate CQAs. Conclusions. This method of statistical analysis along with statistical multivariate canonical analysis present the up-to-date information technology for the detailed assessment of the influence of time multivariate CPP objects and some CPP components on CQAs. The method is oriented to practical application to assure the quality of products at the stage of designing (improving) manufacturing processes.

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Author Biographies

Євген Володимирович Гаврилко, State University of Telecommunications
Doctor of Sciences (Engineering), Associate Professor, State University of Telecommunications, Professor at the Department of Computer Sciences
Олег Анастасійович Курченко, State University of Telecommunications
PhD (Engineering Sciences), Associate Professor, State University of Telecommunications, Head at the Department of Management of Information and Cyber Security
Ігор Володимирович Терещенко, Kharkiv National University of Radio Electronics
PhD (Engineering Sciences), Associate Professor, Kharkiv National University of Radio Electronics, Assistant Professor at the Department of Infocommunication Engineering
Антон Ігорович Терещенко, State University of Telecommunications
State University of Telecommunications, Post-graduate Student at the Department of Management of Information and Cyber Security

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Published
2018-09-26
How to Cite
Гаврилко, Є., Курченко, О., Терещенко, І. and Терещенко, А. (2018) “THE METHOD OF MULTIVARIATE STATISTICAL ANALYSIS OF TIME MULTIVARIATE CRITICAL ATTRIBUTES OF MANUFACTURING QUALITY WITH DATA FACTORIZATION”, INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, (3 (5), pp. 5-16. doi: 10.30837/2522-9818.2018.5.005.