Open Access
Issue
MATEC Web Conf.
Volume 343, 2021
10th International Conference on Manufacturing Science and Education – MSE 2021
Article Number 07012
Number of page(s) 11
Section Management and Economic Engineering
DOI https://doi.org/10.1051/matecconf/202134307012
Published online 04 August 2021
  1. G. Wood, R.C.T. Ellis, Eng. Constr. Archit. Manag. 10, 254–262 (2003) [Google Scholar]
  2. I. Dikmen, M.T. Birgonul, A.E. Arikan, Proc. of the 20th Annual Conf. of Assoc. of Researchers in Constr. Management, Edinburgh, 1145–1154 (2004) [Google Scholar]
  3. J.M. Kim, T. Kim, S. Ahn, Sustainability 12, 5316 (2020) [Google Scholar]
  4. A. Sipos, Sustainability 12(23), 10205-10221, (2020) [Google Scholar]
  5. M. Faur, C. Bungău, Supply Chain ’Leagility’ through Adopting Consignment Stock Strategy in Manufacturing Companies, RMEE 6th Int. Management Conference (2018) [Google Scholar]
  6. T. Avinadav, T. Chernonog, and Y. Perlman, Int. J. Prod. Econ. 168, 31–40 (2015). [Google Scholar]
  7. Y. Fang, Y.-Y. Wang, Z. Hua, J. Oper. Res. Soc. 67(5), 770–785 (2016) [Google Scholar]
  8. J. Ru and Y. Wang, Eur. J. Oper. Res., 201(3), 760–769 (2010) [Google Scholar]
  9. Z. Wu, D. Chen, H. Yu, Int. J. Gen. Syst., 45(5), 502–516 (2016) [Google Scholar]
  10. M. Faur C. Bungău, Annual Sess. Scientific PapersIMT Oradea, 291-295 (2019) [Google Scholar]
  11. M. Faur, C. Bungău, F. Blaga, I.C. Gherghea, A. Pop, The organisation readiness index, as a decision support tool for consignment stock program adoption in a ‘leagile’ supply chain, 7th RMEE Management Conference, ClujNapoca (2020) [Google Scholar]
  12. G. Valentini and L. Zavanella, Int. J. Prod. Ec., 81–82: 215–224 (2003) [Google Scholar]
  13. D. Battini, Int. J. Prod. Res. 48(7), 2055-2079 (2010) [Google Scholar]
  14. W. Hu, Y.J. Li, W. Wang, Benefit and risk analysis of consignment contracts, Ann. Op. Res. 257, 641-659, (2017) [Google Scholar]
  15. L. M. Camarinha-Matos and A. Abreu, A contribution to understand collaboration benefits, Emerging Sol. Future Manufact. Syst., Springer, (2004) [Google Scholar]
  16. M. Faur and C. Bungău., Outsourcing towards greater agility by investigating decoupling points in leagile supply chains, Int. Manuf. Sci. and Ed. Conf., Sibiu, MATEC Web of Conferences 290, 07006 (2019) [Google Scholar]
  17. M. Faur, A. Sipos, C. Bungău, I. C. Gherghea, Ann. Sess. of Sci. Papers, IMT Oradea 19, 153160 (2020) [Google Scholar]
  18. C. Bao, D. Wu, J. Li, IEEE Transactions on Fuzzy Systems 27(5), 1126–1138 (2018) [Google Scholar]
  19. H.L. Madsen, J. Clean. Prod. 247, 119-102 (2020) [Google Scholar]
  20. J. Keizera, J. Halman, M. Song, M., J. Prod. Innov. Manag. 19, 213–232 (2002) [Google Scholar]
  21. C.H. Wang, IEEE Int. Conf. Ind. Eng. and Eng. Mngm., Singapore, 1275–1278 (2011) [Google Scholar]
  22. H. Liu, X. Chen, C. Duan, Y. Wang, Comput Ind Eng 135, 881–897 (2019) [Google Scholar]
  23. T.L. Nguyen, M.H. Shu, B.M. Hsu, Sustainability 8(9), 939 (2016) [Google Scholar]
  24. A. Erdil, E. Tacgin, Fibres Textiles Eastern Euro 26(6), 30–42 (2018) [Google Scholar]
  25. G. Monahan, Enterprise Risk Management: A Methodology for Achieving Strategic Objectives (John Wiley & Sons, 2008) [Google Scholar]
  26. R. J. Chapman, Simple Tools and Techniques for Enterprise Risk Management, 2nd Ed. (John Wiley & Sons, 2011) [Google Scholar]
  27. R. Shariat, Roozbahani A, Ebrahimian, Sci Total Environ 647, 1468–1477 (2019) [Google Scholar]
  28. Z. Ebrahimi-Khusfi, R. Taghizadeh-Mehrjardi and A.R. Nafarzadegan, Env. Sci and Poll. Res., 28(6), 6796-6810 (2021) [Google Scholar]
  29. A. Pop, Nonconventional Tech. Rev., 53-57 (2017) [Google Scholar]
  30. J. Jang, C. Sun, E. Mizutani, Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence, 1st Ed. (Prentice Hall, New Jersey, 1997) [Google Scholar]
  31. C. Harris, C. Moore, and M. Brown, Intelligent control: Aspects of Fuzzy Logic and Neural Nets. 1st Ed. (World Sci. Pub., Singapore, 1993) [Google Scholar]
  32. G. Richards, S. Grinsted, The Logistics and Supply Chain Toolkit: Over 100 Tools and Guides for Supply Chain, Transp., Wh and Inv. Mngm., 2nd Ed. (Kogan Page, 2016) [Google Scholar]
  33. B. R. Sarker, Int. J. Prod. Ec. 155, 52–67 (2014) [Google Scholar]
  34. S. K. Zahran, M. Y. Jaber, S. Zanoni, L. E. Zavanella, Comp.& Ind. Eng. 87, 491–505 (2015) [Google Scholar]
  35. T. Wild, Best Practice in Inventory Management, 3rd Ed. (Routledge, 2017) [Google Scholar]
  36. T. Tettey, T. Marwala, Modelling Conflict: Knowledge Extraction using Bayesian Neural Network and Neuro-fuzzy Models, https://www.researchgate.net/publication/267381022, (ResearchGate, 2016) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.