LOGICAL-STRUCTURAL ANALYSIS OF THE PROBLEMS IN THE FORMATION OF THE QUALITY MANAGEMENT SYSTEMS OF ENTERPRISES OF ENGINEERING SERVICES
Authors:
Trachenko L.
Odesa, Ukraine
auditor.kandidat@ukr.net
Pages: 16-26
Original language: Ukrainian
DOI: 10.21272/1817-9215.2019.3-2
The article emphasizes that in the conditions of modern market relations, integration of Ukraine into the European and world space for domestic enterprises, in particular the sphere of engineering services, an effective means of achieving the key business goals and high economic indicators of activity is the formation and certification of quality management systems in the context requirements of the international standard ISO 9001: 2015. It is emphasized that the implementation of international standards in enterprises stimulates their competitiveness and development of innovative potential. It is proved that making a decision on the formation of a quality management system by senior management should be a strategically important area of activity of the enterprise, based on the use of effective methods, measures, methodology, quality management tools. The essence of logical-structural analysis, analytical phase and planning phase and their stages are revealed. A practical toolkit for the application of logical and structural analysis in the formation of quality management systems of enterprises in the engineering sector is developed, in particular: the context of the company (internal and external factors influencing the activity) with the use of SWOT analysis is determined; stakeholder analysis; a tree of related problems of the engineering enterprise and a tree of goals were built; algorithm for determining assumptions and risk factors has been formed. Recommendations are given on the development of a logical and structural matrix, a timetable for action, provision of resources and control over the implementation of the action plan. It is substantiated that the application of logical and structural analysis in the formation of quality management systems will allow engineering enterprises to investigate cause and effect relationships in a timely manner, reduce risks, increase resource efficiency, achieve established goals and improve the performance of companies in general.
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