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articles

Authors: Stoyanova O. V., Moskaleva V.     Published in № 3(99) 31 may 2022 year
Rubric: Performance management

The multi-model decision support method for R&D management

Research and development (R&D) ensure stable functioning and forms the innovative potential of most companies in the production sector. Ineffective R&D management leads to the fact that many initiated projects go beyond planned deadlines and budgets, and much of the intermediate R&D results are not completed. The complexity of R&D management is associated with high information uncertainty regarding the performance of R&D and the productivity of employees. The paper considers a multi-model method of decision support for R&D management in companies. To reduce information uncertainty in solving various management problems it is proposed to use an ontological model of intellectual capital of the company, simulation models of R&D processes and individual stages, fuzzy logic models to obtain integral assessments of management decisions. The method provides a basis for making decisions on the possibility and expediency of using previously obtained R&D results (scientific and technological reserve); on the feasibility of the proposed project based on the assessment of its feasibility; on the project organization (volume-calendar planning); on the allocation of resources to tasks; on the incentives for performers; on the planning of activities for additional training and organization of information support. The paper provides a general description of the method, as well as an example of its use to support decision-making on the feasibility of an R&D project based on its assessment. Two structures for organizing the R&D process in a manufacturing company are considered as alternatives. After selecting the best structure, the impact of staffing quality on the integral feasibility assessment is evaluated.

Key words

research and development, ontology, simulation model, fuzzy logic model, decision support

The author:

Stoyanova O. V.

Degree:

Dr of Technique, Associate Professor, National Research University Branch in Smolensk

Location:

Smolensk

The author:

Moskaleva V.

Degree:

Postgraduate, Faculty of Economics, Saint Petersburg University

Location:

Saint Petersburg, Russia