Innovations
Vol. 7 (2019), Issue 3, pg(s) 101-104

INNOVATION POLICY AND INNOVATION MANAGEMENT

Building an interpretive structural model for factors defining co-participation level in an Industry 4.0 environment

  • 1 Faculty of Management – Technical University of Sofia, Bulgaria

Abstract

This publication addresses the factors that support the process of developing an individual approach to customers, which is one of the main tasks of the so-called Fourth Industrial Revolution or Industry 4.0. The emphasis is on the study of the interrelationships and the interaction between these factors and their integration in a structured way, with the help of the so-called Interpretive Structural Modeling (ISM) to help integrate them into a comprehensive conceptual framework that represents producer-customer interactions under Industry 4.0 conditions and, as a result, increase the efficiency of the process of creating value according to the individual requirements and expectations of the customer.

Keywords

References

  1. Концепция за цифрова трансформация на българската индустрия(Industria 4.0), 2017 https://www.mi.government.bg/files/useruploads/files/ip/kontseptsia_industria_4.0.pdf.
  2. N. Koleva, Industry 4.0‟s Opportunities and Challenges for Production Engineering and Management, International Scientific Journal Innovations, issue 1, pp. 17-18, ISSN 1314-8907, 2018.
  3. O. Andreev, and G. Peneva, Problems Concerning Operations System of the Enterprise in the Context of Industry 4.0, X International Scientific Conference “E-Governance & E-Communications”, pp. 165- 170, ISSN 2534-8523, 2018.
  4. Andreev, O. & Peneva, G., Методически подход за изследване на възможностите за внедряване на Индустрия 4.0 в българските индустриалния предприятия, 16тa МНК „мениджмънт и инженеринг„18“, 24-27 юни, стр. 739-745, Созопол, ISSN 1310- 3946, 2018
  5. Andreev, O., Operations System Agility – the Underlying Factor for Mass Customization and the Most Important Feature of New Industrial Revolution, International Journal for Science and Innovations for the Industry, Issue 1, ISSN 1314-8907, 2016
  6. Daskalova, M., Big Data for Business – Challenges and Opportunities for the Bulgarian Economy, International Conference on High Technology for Sustainable Development HiTECH 2018, 11-14 June 2018, Proceedings 6 December 2018, Article number 8566518, ISBN: 978-153867039-2, DOI: 10.1109/HiTech.2018.8566518;
  7. Дамиянов, Д., Гешев, Т. и Чукалов, К. Четвърта индустриална революция – същност и проблеми, ИК „Кинг“, ISBN978-954-9518-97-9, 2019.
  8. Nikolova Jahn, I. Siyka Demirova Emil Entchev (2018), Creating conditions for application of digital dimensions in logistics activity, International conference on High Technology for Sustainable Development (HiTECH 2018), DOI: 10.1109/HiTech.2018. 8566256, 11-14 June 2018, Sofia, Bulgaria
  9. Nikolov, B., Possibilities and Restrictions in Forming and Development of the Innovative Potential of the Enterprises in Bulgaria, International Scientific Journal Innovations, Year VII, Issue 1 /2019, pp. 6-8, ISSN (Print) 2603-3763, ISSN (Online) 2603-3771
  10. Poduval, P.S., Pramod, V.R. Dr and Jagathy Raj, V.P. Dr (2013), Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM), International Journal of Qality&Reliability Management, pp.308-331.
  11. Promod, V. & Banwet, D. (2013) Analysing the synergic power of inhibitors of an Indian telecom supply chain, International journal of business Excellence, Vol. 6, No 4, pp. 448-471
  12. Attri, R., Dev, N. and Sharma, V. (2013), “Interpretive structural modeling (ISM): an overview”, Research Journal of Management Sciences, Vol. 2 No. 2, pp. 3-8.
  13. Malone, D.W. (1975), “An introduction to the application of interpretive structural modeling”, Proceedings of the IEEE, Vol. 63 No. 3, pp. 397-404.
  14. Janes, F.R. (1988), “Interpretive structural modeling: a methodology for structuring complex issues, Trans Inst MC, Vol. 10 No. 3, 19pp.
  15. George, G.L. (1980), “Structural modeling – a tutorial guide”, IEEE Transactions on Systems, Man and Cybernetics, Vol. 5 No. 12, pp. 807- 840.
  16. Giesberts, P. & L. van der Tang, (1992). Dynamics of the Customer Order Decoupling Point: Impact on Information Systems for Production Control. Production Planning and Control, 3(3), pp. 300-313.
  17. Sharman, G., (1984), The Rediscovery of Logistics. Harvard Business Review, 62(5), pp. 71-80.
  18. Olhager, J. (2003). Strategic Positioning of the Order Penetration Point. International Journal of Production Economics, 85(3), pp. 319-329.
  19. Olhager J. & B. Ӧstlug, (1990). An Integrated Push-Pull Manufacturing Strategy. European Journal of Operational Research, pp. 135-142.
  20. Olhager, J. & J. Wikner, (2000). Production planning and control tools. Journal of Production Planning & Control, 11(3), pp. 210-222.
  21. Pagh, J. & M. Cooper, (1998). Supply Chain Postponement and Speculation Strategies: How to Choose the Right Strategy. Journal of Business Logistics, 19(2), pp. 13-33.
  22. van Donk, D. (2001). Make to Stock or Make to Order: The Decoupling Point in the Food Processing Industries, International Journal of Production Economics, 69, pp. 297-306.1
  23. Velev M., O. Andreev & T. Panayotova, (2011). Using AHM Approach to Position CODP. Business Modeling and Software Design, pp 80-87.
  24. Андреев, О. & Н. Колева (2012). Фактори, определящи местоположението на точката на контакт с поръчката на клиента, Юбилеен конгрес с международно участие „Науката и образованието в бъдещето“, Варна, 4-6 октомври;
  25. Андреев, О. (2013). Съвременни системи за производствен и операционен мениджмънт. Учебник, Софттрейд, ISBN 978-954- 334-150-4.
  26. Andreev, O. The Operations Managers‟ Dilemma or How to Decide What Method to Use International Conference “New Trends in Knowledge Management of Engineering Education”, October 2013, Universidad Central, Bogota, Colombia.
  27. Baldwin, C. (1997). Managing in an Age of Modularity. Harvard Business Review, 75(5), pp. 84-93.;
  28. Mikkola, J. & O. Gassmann, (2003). Managing Modularity of Product Architectures: Toward an Integrated Theory, IEEE Transactions on Engineering Management, 50(2), pp. 204-218.;
  29. Sanchez, R., & J. Mahoney, (1996). Modularity, Flexibility, and Knowledge Management in Product and Organization Design. Strategic Management Journal, 17, special issue, pp. 63-76.;
  30. Schilling, M., (2000). Toward a General Modular Systems Theory and its Application to Interfirm Product Modularity. Academy of Management Review, 25(2), pp. 312-334.

Article full text

Download PDF