Page 68 - Azerbaijan State University of Economics

THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.73, # 2, 2016, pp. 62-72

Taking into account that in the engineering enterprise QMS does not exist
separately from general management, particularly, from labor and environment
safety management, the establishment of “Integrated system of quality, labor and
environment safety (ISQLES)” is proposed. The Structural model ISQLES may be
developed on base of the quality management system ISO 9001:2001 by adding two
elements on labor safety and environment protection [Morozova O.L., 2009, -15 p.].
On base of structural model ISQLES the collection of requirements, presented in
mathematical form may be developed. By considering these requirements, the
hierarchical structure of ISQLES documentation, covering all types of QMS
documentation, including policy, goals, general management, registered procedures
and records, is formed.
Great influence is exerted to QMS multivariate analysis in new standards of
ISO 9001:2000. This issue becomes Complicated repeatedly in integrated QMS. For
its solution the method of multivariate system analysis of data on quality is applied.
The method is developed on base of multivariate statistical analysis and information
technologies with the artificial intellect.
The structural scheme of proposed model is based on multivariate model of
data on quality, represented in figure 4. Main elements of this model are as follows:
Information layers are cited in figure 4, as conditional lines, defining
multivariate phase of data on quality.
Indicators or facts, that is, backbone node of data.
Data cube is multivariate analysis of data about quality and it is a sub-space of
directly accomplished data base. The Cube sides are called, as axes possessing
hierarchic structure and play a role of index of analyzed information. Conditional
description of data cube, formed at solution of two issues of multivariate analysis of
data on quality, is represented on figure
The mathematic support of the data analysis on quality is based on sets and
spaces of final measurement and statistical analysis of applied multivariate
regression. The software is developed on basis of application of toolbox of
Microsoft Server-2000. The method of the multivariate analysis of data on quality is
presented to the “Baku plant of oil engineering” for the complex analysis of results
of QMS audit. On base of formed data cube (figure 5a) the top management of the
enterprise solved issues of QMS benefit analysis. In the shops of the plant producing
oil-field equipment, the method of the multivariate analysis, aimed at definition
interdependence of quality of processes (figure 5b) is applied.
For development of software of system modeling and management
optimization, the subsystem of computer support of process of adoption of optimal

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