Accumulation of the Knowledge About Disruptions in the Network Supply Chain

• Autorzy: Kramarz W.
• Języki publikacji: EN

Abstrakty

EN

The proposed approach accumulation knowledge about disruptions which will allow modelling material flows and constructing the strategy of strengthening the resistance of a network supply chain was verified in a selected organization fulfilling the assumptions of the material decoupling point of a network supply chain. The IT system composed of a module for identification of disruptions in material flows and a simulation model is a proposal dedicated to organizations controlling material flows in a network supply chain in the conditions of disruptions.

Słowa kluczowe

EN

material decoupling point; network supply chain; resistance

• Wydawca: Publishing House of Poznan University of Technology
• Czasopismo: Research in Logistics & Production
• Rocznik: 2015
• Tom: Vol. 5, No. 4
• Strony: 381--391
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Kramarz W.

• Department of Organization and Management, Silesian University of Technology, 44-100 Gliwice Akademicka 2A

Bibliografia

• 1. Blackhurst J., Craighead C., Elkins D. & Handfield R., (2005), “An empirically derived agenda of critical research issues for managing supply chain disruptions”, International Journal Product Research, Vol.43, No.19, pp. 4067-4081.
• 2. Brzóska J., (2013), “Innovations as a Factor of Business Models Dynamics in Metallurgical Companies”. METAL 2013, 22ndInternational Conference on Metallurgy and Materials, May 15-17. 2013, Brno, Czech Republic, EU, [CD-ROM] pp.1842 ISBN 978-80-87294-41-3.
• 3. Can F. & Chan H., (2006), “A simulation study with quantity flexibility in a supply chain subjected to uncertainties”, International Journal of Computer Integrated Manufacturing, Vol.19, No.2, pp. 148-160.
• 4. Celik N., Lee S., Vasudevan K. & Son J., (2010), “DDDAS - based multi - fidelity simulation framework for supply chain systems”, IIE Transactions, Vol.42, pp. 325-341.
• 5. Chan H., Wang W., Luong L. & Chan F., (2009), “Flexibility and adaptability in supply chain : a lesson learnt from a practitioner”, Supply Chain Management: An International Journal Vol.14, No.6, pp. 407-410.
• 6. Chopra S. & Meindl P., (2004), “Supply Chain Management”, Prentice Hall, New Jersey.
• 7. Chopra S., Reinhardt G. & Mohan U., (2007), “The importance of decoupling recurrent and disruption risks in a supply chain”, Naval Research Logistics Vol.54, No.5, pp. 12-25.
• 8. Christopher M. & Peck H., (2004) “Boulding the resilient supply chains.”, International Journal of Logistics Management Vol 15, No. 2, pp. 1-13.
• 9. Di Caprio D. & Santos-Arteaga F., (2009), “An optimal information gathering algorithm”, International Journal of Applied Decision Sciences, Vol. 2 No 2, pp.105-115.
• 10. Dohn K., Gumiński A., Matusek M. & Zoleński M., (2013), “The concept of knowledge object management system as a tool reducing the knowledge deficit in the functioning of machine - building industry enterprises”, [in:] Knowledge and Information Management Conference KIM 2013, Sustainable Quality, Meriden UK, 4-5 June 2013, Proceedings Ed by Rochelle Sassman and Brian Lehaney [B.m.] The Operational Research Society, 2013, pp. 192-210.
• 11. Hagedoorn J., Roijakkers N. & Van Kranenburg H., (2006), “Inter - Firm R&D Networks Capabilites for High - Tech Partnership Formulation”, British Journal Management, pp. 39-53.
• 12. Harrison J.R., Lin Z., Carroll G.R. & Carley K.M., (2007), “Simulation modeling In organizational and management research”, Academy of Management Review, Vol.32, No.4, pp. 1229-1245.
• 13. Harryson S., Dudkowski R. & Stern A. (2008), “Transformation networks In innovation Alliance - the development of Volvo C70”, Journal Management Studies Vol 45 No 4, pp . 123-135.
• 14. Kramarz M., (2012), Strategie adaptacyjne przedsiębiorstw flagowych sieci dystrybucji z odroczoną produkcją. Dystrybucja wyrobów hutniczych, Wydawnictwo Politechniki Śląskiej Gliwice.
• 15. Kramarz W. (2013), “Modelowanie przepływów materiałowych w sieciowym łańcuchu dostaw. Odporność łańcucha dostaw wyrobów hutniczych”, DIFIN, Warszawa.
• 16. Lin Z., Yang H. & Arga B. (2009), “Alliance Partners and Firm Performance Resource Complementarity and Status Association”, Strategic Management Journal, Vol. 30, pp. 921-940.
• 17. Machado V., Barroso A., Tenera A. & Cruz Machado V. (2009), “Strategies to mitigate supply chain disturbances”, POMS 20th Annual Conference, Orlando, Florida USA 1-4. 05. pp. 3-25.
• 18. Probst G., Raub S. & RomhardtK., (2002), Managing Knowledge. Building Blocks For Success, Oficyna Ekonomiczna.
• 19. Szymanowski W., (2006), Zarządzanie łańcuchami dostaw żywności w Polsce. Kierunki zmian, DIFIN Warszawa.