Proceedings of International Conference on Applied Innovation in IT
2015/03/19, Volume 1, Issue 3, pp.13-17

Conceptual Foundations of Modelling of Innovative Production Projects

Leonid Mylnikov

Abstract: At the moment there is a lack of methodological approaches to formalization of management of innovative projects relating to production systems, as well as to adaptation and practical use of the existing approaches. This article is about one potential approach to the management of innovative projects, which makes the building of innovative process models possible based on objective approach. It outlines the frameworks for the building of innovative project models, and describes the method of transition from conceptual modelling to innovative project management. In this case, the model alone and together with parameters used for evaluation of the project may be unique and depends on the special features of the project, preferences of decision-making person, and production and economic system in which it is to be implemented. Unlike existing approaches, this concept does not place any restrictions on types of models and makes it possible to take into account the specificities of economic and production systems. Principles embodied in the model allow its usage as a basis for simulation model to be used in one of specialized simulation systems, as well as for information system providing information support of decision-making process in production and economic systems both newly developed by the company (enterprise) and designed on the basis of available information systems that interact through the exchange of data. In addition, this article shows that the development of conceptual foundations of innovative project management in the economic and production systems is inseparable from the development of the theory of industrial control systems, and their comprehensive study may be reduced to a set of elements represented as certain algorithms, models and evaluations. Thus, the study of innovative process may be conducted in both directions: from general to particular, and vice versa.

Keywords: innovative project, management, decisionmaking, algorithm, analysis, concept, search for optimal solution innovative project, management, decision-making, algorithm, analysis, concept, search for optimal solution

DOI: 10.13142/kt10003.03

Download: PDF


  1. F. Gault, E von Hippel, “The Prevalence of User Innovation and free Innovation Transfers,” Implications for Statistical Indicators and Innovation Policy.MIT Sloan School of Management Working Paper #4722-09, January, Cambridge, MA, 2009.
  2. M. Gepp, M. Amberg, T. Schaeffler, S. Horn, J. Vollmar, “Framework and rationale for economic considerations in industrial plant business,” Systems Conference (SysCon), IEEE International, 2013.- pp 14 – 19.
  3. V. Dignum, “An overview of agents in knowledge management,” Heidelberg: Springer. 2006.
  4. N. Jennings, “On agent-based software engineering,” Artificial Intelligence, 117 (2), 2000, pp. 277-296.
  5. T. Kaihara, S. Fujii, “Game theoretic enterprise management in industrial collaborative networks with multi-agent systems,” International journal of production research. 46 (1). 2008. pp. 1297-1313.
  6. M. Lang, S. Kammerer, M. Amberg, “Projektportfoliomanagement in der IT: Priorisierung, Investition, Steuerung,” Düsseldorf: Symposion, 2012. p. 442.
  7. J. H. Lee, C. O. Kim, “Multi-agent systems applications in manufacturing systems and supply chain management: a review paper, “International Journal of Production research, 46(1). 2008, pp.233-265.
  8. L. Pepall, “Imitative Competition and Product Innovation in a Dupoly Model,” Economica. №64, 1995. pp. 265-269.
  9. H. M. Wagner, T. M. Whitin, “Dynamic version of the economic lot size model,” Management Science. 5. 1958. pp. 89-96.
  10. W. V. den Heuvel, E. Kundakcioglu, J. Geunes, E. Romeijn, T. C. Sharkey, A. P. M. Wagelmans, “Integrated market selection and production planning: complexity and solution approaches,”Mathematical Programming, Volume 134, Issue 2, 2012, pp. 395-424.
  11. P. Young, “The evolution of conventions,” Econometrica № 61, 1993. pp. 57-84.
  12. V. Vinokur, A. V. Trusov, “Intelectual properties as basis of innovation activities,” Perm: PSTU Publ., 2004. – 271 p. (In Russian)
  13. T. Gavrilova, V. Khoroshevskiy, “Knowledge bases of intelligent systems,”. SPb: Piter Publ., 2000. – 382 p. (In Russian)
  14. Y. Zelenkov, “Methodology of strategic management of inforamtion systerm development for huge industrial enterprise in modern conditions,” Dr. tech. sci. autor. diss. Chelybinsk. 2013.-42 p. (In Russian)
  15. L. Mylnikov, “Microeconomic problems of innovation project management,” Management problems, 2011. №3, pp. 2-11. (In Russian)
  16. L. Mylnikov, “Management of innovation projects based on an integral criteria,” Management of big systems. Issue. Moscow: IPU RAS Publ., 2010, pp. 128-151. (In Russian)
  17. L. Mylnikov, A. Trusov, N. Khoroshev, “Review of concepts for information management of innovation projects,” Information resources of Russia, 2010. №3, pp.34-39. (In Russian)
  18. V. Shiriaev, E. Shiriaev, “Management of business process,” – Moscow: Finansy I Kredit Publ.; INFRA-M Publ., 2009. 464 p. (In Russian).



       - Call for Papers!!!
       - Paper Submission
       - Important Dates
       - Committee
       - Guest registration


       - Issue 1 (ICAIIT 2013)
       - Issue 2 (ICAIIT 2014)
       - Issue 3 (ICAIIT 2015)
       - Issue 4 (ICAIIT 2016)
       - Issue 5 (ICAIIT 2017)





           ISSN 2199-8876
           Copyright © 2013-2017 Leonid Mylnikov. All rights reserved.