@article{MAKHILLJEAS2018132016999,
    title = {Management of Competitiveness of the University on the Basis of
CALS-Technologies},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {20},
    pages = {8604-8608},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.8604.8608},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.8604.8608},
    author = {A.S.,V.P.,A.A.,P.V.,A.I. and},
    keywords = {University,business processes,reengineering,life cycle,competitiveness,educational programs,graph},
    abstract = {The object of research is the managerial processes of the social-and-economic system a higher educational institution. The study deals with the tasks and limitations of the classical planned target university. It is shown that the higher educational institution experiences objective difficulties in ensuring the quality of education and increasing competitiveness in an unstable environment. To overcome the limitations and difficulties, the term of a higher educational institution of a new form an innovative marketable higher education institution is introduced. The study of all types of existing processes and their reengineering is the basis of the management method of this type of social-and-economic system. The goal is to increase competitiveness with the help of CALS-technology which provides a redesign of the organization’s business processes to identify reserves, reduce costs and maximize the use of available resources. The subject of the research is the chains of educational programs, represented in the form of a graph. Unlike the classical higher education institution such a graph expands on entry and exit with new elements. These elements complement the basic elements, i.e., educational programs on three levels of education. In addition, the new graph has a cyclic structure. It allows the user to specify iterative sequences of specialized educational programs. As a result, it becomes possible to form a wide variety of learning paths within a single higher education institution. The constructed new graph has a structural complexity in comparison with the standard one by 17.5% more. Nevertheless, a typical graph is a subgraph of a new construction. This feature allows us to use the continuity of the chains of educational programs in the computation of competitiveness. Then the number of specialized chains of educational programs of maximum length is a measurable structural indicator of competitiveness of a higher educational institution. The number of such chains is estimated in relation to the “ideal” higher education institution. It makes possible to evaluate competitiveness for different organizations with different sets of educational programs objectively.}
    }